Model backlog/Evaluation/197-Tweet-Evaluation-5Fold-roBERTa clean.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.7.6"},"colab":{"name":"197-Tweet-Train-5Fold-roBERTa clean.ipynb","provenance":[],"collapsed_sections":[]},"accelerator":"GPU"},"cells":[{"cell_type":"code","metadata":{"id":"rOXNne0OoLTd","colab_type":"code","outputId":"3cceb837-1051-49e3-cafc-061a5fb4cb99","executionInfo":{"status":"ok","timestamp":1590504795070,"user_tz":180,"elapsed":10208,"user":{"displayName":"Dimitre Oliveira","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjWI4QgYDUyC8ZcW5KHpuBwcY-MZWVqbPWcZSzxIg=s64","userId":"06256612867315483887"}},"colab":{"base_uri":"https://localhost:8080/","height":105}},"source":["!pip --quiet install transformers\n","!pip --quiet install tokenizers"],"execution_count":1,"outputs":[{"output_type":"stream","text":["\u001b[K     |████████████████████████████████| 665kB 8.2MB/s \n","\u001b[K     |████████████████████████████████| 3.8MB 59.3MB/s \n","\u001b[K     |████████████████████████████████| 1.1MB 19.6MB/s \n","\u001b[K     |████████████████████████████████| 890kB 55.4MB/s \n","\u001b[?25h  Building wheel for sacremoses (setup.py) ... \u001b[?25l\u001b[?25hdone\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"htKChfMHoYRb","colab_type":"code","outputId":"f34d0fda-61ff-4f0c-893b-84b749651c91","executionInfo":{"status":"ok","timestamp":1590504819721,"user_tz":180,"elapsed":34843,"user":{"displayName":"Dimitre Oliveira","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjWI4QgYDUyC8ZcW5KHpuBwcY-MZWVqbPWcZSzxIg=s64","userId":"06256612867315483887"}},"colab":{"base_uri":"https://localhost:8080/","height":125}},"source":["from google.colab import drive\n","drive.mount('/content/drive')"],"execution_count":2,"outputs":[{"output_type":"stream","text":["Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pfee6491hc0brc4i.apps.googleusercontent.com&redirect_uri=urn%3aietf%3awg%3aoauth%3a2.0%3aoob&response_type=code&scope=email%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdocs.test%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive.photos.readonly%20https%3a%2f%2fwww.googleapis.com%2fauth%2fpeopleapi.readonly\n","\n","Enter your authorization code:\n","··········\n","Mounted at /content/drive\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"xtDZkoyzod_S","colab_type":"code","colab":{}},"source":["!cp -r '/content/drive/My Drive/Colab Notebooks/Tweet Sentiment Extraction/Scripts/.' ."],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"38KKgQn7owCr","colab_type":"code","colab":{}},"source":["COLAB_BASE_PATH = '/content/drive/My Drive/Colab Notebooks/Tweet Sentiment Extraction/'\n","MODEL_BASE_PATH = COLAB_BASE_PATH + 'Models/Files/197-roBERTa_base/'"],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"MOE8CNSAnvq-","colab_type":"text"},"source":["## Dependencies"]},{"cell_type":"code","metadata":{"_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","_kg_hide-input":true,"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","id":"x48gxo3vnvrA","colab_type":"code","outputId":"461835fc-e0f1-4166-f2d1-3ae1c9eb8b16","executionInfo":{"status":"ok","timestamp":1590504830326,"user_tz":180,"elapsed":45396,"user":{"displayName":"Dimitre Oliveira","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjWI4QgYDUyC8ZcW5KHpuBwcY-MZWVqbPWcZSzxIg=s64","userId":"06256612867315483887"}},"colab":{"base_uri":"https://localhost:8080/","height":72}},"source":["import json, glob, warnings\n","from tweet_utility_scripts import *\n","from tweet_utility_preprocess_roberta_scripts_aux import *\n","from transformers import TFRobertaModel, RobertaConfig\n","from tokenizers import ByteLevelBPETokenizer\n","from tensorflow.keras import layers\n","from tensorflow.keras.models import Model\n","\n","SEED = 0\n","seed_everything(SEED)\n","warnings.filterwarnings(\"ignore\")\n","pd.set_option('max_colwidth', 120)"],"execution_count":5,"outputs":[{"output_type":"stream","text":["/usr/local/lib/python3.6/dist-packages/statsmodels/tools/_testing.py:19: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.\n","  import pandas.util.testing as tm\n"],"name":"stderr"}]},{"cell_type":"markdown","metadata":{"id":"6HW0GQzPnvrF","colab_type":"text"},"source":["# Load data"]},{"cell_type":"code","metadata":{"id":"jS858zlQNNCs","colab_type":"code","colab":{}},"source":["# Unzip files\n","!tar -xf '/content/drive/My Drive/Colab Notebooks/Tweet Sentiment Extraction/Data/complete_64_clean/fold_1.tar.gz'\n","!tar -xf '/content/drive/My Drive/Colab Notebooks/Tweet Sentiment Extraction/Data/complete_64_clean/fold_2.tar.gz'\n","!tar -xf '/content/drive/My Drive/Colab Notebooks/Tweet Sentiment Extraction/Data/complete_64_clean/fold_3.tar.gz'\n","!tar -xf '/content/drive/My Drive/Colab Notebooks/Tweet Sentiment Extraction/Data/complete_64_clean/fold_4.tar.gz'\n","!tar -xf '/content/drive/My Drive/Colab Notebooks/Tweet Sentiment Extraction/Data/complete_64_clean/fold_5.tar.gz'"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","_kg_hide-input":true,"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","id":"hVhA98wenvrG","colab_type":"code","outputId":"d3141cf8-ce01-4ccf-f9f8-964aaf7ad401","executionInfo":{"status":"ok","timestamp":1590504844534,"user_tz":180,"elapsed":59571,"user":{"displayName":"Dimitre Oliveira","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjWI4QgYDUyC8ZcW5KHpuBwcY-MZWVqbPWcZSzxIg=s64","userId":"06256612867315483887"}},"colab":{"base_uri":"https://localhost:8080/","height":551}},"source":["database_base_path = COLAB_BASE_PATH + 'Data/complete_64_clean/'\n","k_fold = pd.read_csv(database_base_path + '5-fold.csv')\n","display(k_fold.head())"],"execution_count":7,"outputs":[{"output_type":"display_data","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>index</th>\n","      <th>textID</th>\n","      <th>text</th>\n","      <th>selected_text</th>\n","      <th>sentiment</th>\n","      <th>jaccard</th>\n","      <th>text_len</th>\n","      <th>text_wordCnt</th>\n","      <th>text_tokenCnt</th>\n","      <th>selected_text_len</th>\n","      <th>selected_text_wordCnt</th>\n","      <th>selected_text_tokenCnt</th>\n","      <th>fold_1</th>\n","      <th>fold_2</th>\n","      <th>fold_3</th>\n","      <th>fold_4</th>\n","      <th>fold_5</th>\n","      <th>imputed</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0</td>\n","      <td>cb774db0d1</td>\n","      <td>i`d have responded, if i were going</td>\n","      <td>i`d have responded, if i were going</td>\n","      <td>neutral</td>\n","      <td>1.000000</td>\n","      <td>35</td>\n","      <td>7</td>\n","      <td>10</td>\n","      <td>35</td>\n","      <td>7</td>\n","      <td>10</td>\n","      <td>train</td>\n","      <td>validation</td>\n","      <td>train</td>\n","      <td>train</td>\n","      <td>train</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1</td>\n","      <td>549e992a42</td>\n","      <td>sooo sad i will miss you here in san diego!!!</td>\n","      <td>sooo sad</td>\n","      <td>negative</td>\n","      <td>0.200000</td>\n","      <td>45</td>\n","      <td>10</td>\n","      <td>13</td>\n","      <td>8</td>\n","      <td>2</td>\n","      <td>3</td>\n","      <td>train</td>\n","      <td>train</td>\n","      <td>validation</td>\n","      <td>train</td>\n","      <td>train</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2</td>\n","      <td>088c60f138</td>\n","      <td>my boss is bullying me...</td>\n","      <td>bullying me</td>\n","      <td>negative</td>\n","      <td>0.166667</td>\n","      <td>25</td>\n","      <td>5</td>\n","      <td>6</td>\n","      <td>11</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>train</td>\n","      <td>train</td>\n","      <td>train</td>\n","      <td>train</td>\n","      <td>validation</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>3</td>\n","      <td>9642c003ef</td>\n","      <td>what interview! leave me alone</td>\n","      <td>leave me alone</td>\n","      <td>negative</td>\n","      <td>0.600000</td>\n","      <td>30</td>\n","      <td>5</td>\n","      <td>6</td>\n","      <td>14</td>\n","      <td>3</td>\n","      <td>3</td>\n","      <td>train</td>\n","      <td>train</td>\n","      <td>train</td>\n","      <td>validation</td>\n","      <td>train</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>4</td>\n","      <td>358bd9e861</td>\n","      <td>sons of ****, why couldn`t they put them on the releases we already bought</td>\n","      <td>sons of ****,</td>\n","      <td>negative</td>\n","      <td>0.214286</td>\n","      <td>74</td>\n","      <td>14</td>\n","      <td>17</td>\n","      <td>13</td>\n","      <td>3</td>\n","      <td>4</td>\n","      <td>train</td>\n","      <td>train</td>\n","      <td>train</td>\n","      <td>train</td>\n","      <td>validation</td>\n","      <td>False</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   index      textID  ...      fold_5 imputed\n","0      0  cb774db0d1  ...       train   False\n","1      1  549e992a42  ...       train   False\n","2      2  088c60f138  ...  validation   False\n","3      3  9642c003ef  ...       train   False\n","4      4  358bd9e861  ...  validation   False\n","\n","[5 rows x 18 columns]"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"b0bUTMPynvrM","colab_type":"text"},"source":["# Model parameters"]},{"cell_type":"code","metadata":{"id":"Paexn4ywnvrM","colab_type":"code","outputId":"06c9f6c3-ab3e-490b-81a6-28e480c5b59a","executionInfo":{"status":"ok","timestamp":1590504845582,"user_tz":180,"elapsed":60607,"user":{"displayName":"Dimitre Oliveira","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjWI4QgYDUyC8ZcW5KHpuBwcY-MZWVqbPWcZSzxIg=s64","userId":"06256612867315483887"}},"colab":{"base_uri":"https://localhost:8080/","height":176}},"source":["vocab_path = COLAB_BASE_PATH + 'qa-transformers/roberta/roberta-base-vocab.json'\n","merges_path = COLAB_BASE_PATH + 'qa-transformers/roberta/roberta-base-merges.txt'\n","base_path = COLAB_BASE_PATH + 'qa-transformers/roberta/'\n","\n","with open(MODEL_BASE_PATH + 'config.json') as json_file:\n","     config = json.load(json_file)\n","\n","config"],"execution_count":8,"outputs":[{"output_type":"execute_result","data":{"text/plain":["{'BATCH_SIZE': 32,\n"," 'EPOCHS': 7,\n"," 'ES_PATIENCE': 2,\n"," 'LEARNING_RATE': 3e-05,\n"," 'MAX_LEN': 64,\n"," 'N_FOLDS': 5,\n"," 'base_model_path': '/content/drive/My Drive/Colab Notebooks/Tweet Sentiment Extraction/qa-transformers/roberta/roberta-base-tf_model.h5',\n"," 'config_path': '/content/drive/My Drive/Colab Notebooks/Tweet Sentiment Extraction/qa-transformers/roberta/roberta-base-config.json',\n"," 'question_size': 4}"]},"metadata":{"tags":[]},"execution_count":8}]},{"cell_type":"markdown","metadata":{"id":"D_8F5nxDnvrW","colab_type":"text"},"source":["# Tokenizer"]},{"cell_type":"code","metadata":{"_kg_hide-output":true,"id":"6qeQlxrDnvrX","colab_type":"code","colab":{}},"source":["tokenizer = ByteLevelBPETokenizer(vocab_file=vocab_path, merges_file=merges_path, \n","                                  lowercase=True, add_prefix_space=True)"],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"3aHwZDF9nvrR","colab_type":"text"},"source":["# Model"]},{"cell_type":"code","metadata":{"id":"7gIO5wkQnvrS","colab_type":"code","colab":{}},"source":["module_config = RobertaConfig.from_pretrained(config['config_path'], output_hidden_states=True)\n","\n","def model_fn(MAX_LEN):\n","    input_ids = layers.Input(shape=(MAX_LEN,), dtype=tf.int32, name='input_ids')\n","    attention_mask = layers.Input(shape=(MAX_LEN,), dtype=tf.int32, name='attention_mask')\n","    \n","    base_model = TFRobertaModel.from_pretrained(config['base_model_path'], config=module_config, name=\"base_model\")\n","    _, _, hidden_states = base_model({'input_ids': input_ids, 'attention_mask': attention_mask})\n","    \n","    h11 = hidden_states[-2]\n","    \n","    x = layers.Dropout(.1)(h11)\n","    \n","    x_start = layers.Dense(1)(x)\n","    x_start = layers.Flatten()(x_start)\n","    y_start = layers.Activation('softmax', name='y_start')(x_start)\n","    \n","    x_end = layers.Dense(1)(x)\n","    x_end = layers.Flatten()(x_end)\n","    y_end = layers.Activation('softmax', name='y_end')(x_end)\n","\n","    model = Model(inputs=[input_ids, attention_mask], outputs=[y_start, y_end])\n","    \n","    return model"],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"jy24FlCgnvrj","colab_type":"text"},"source":["# Make predictions"]},{"cell_type":"code","metadata":{"_kg_hide-input":true,"_kg_hide-output":true,"id":"RU2sa648nvrj","colab_type":"code","colab":{}},"source":["k_fold_best = k_fold.copy()\n","\n","for n_fold in range(config['N_FOLDS']):\n","    n_fold +=1\n","\n","    # Load data                               \n","    base_data_path = 'fold_%d/' % (n_fold)\n","    x_train = np.load(base_data_path + 'x_train.npy')\n","    y_train = np.load(base_data_path + 'y_train.npy')\n","    x_valid = np.load(base_data_path + 'x_valid.npy')\n","    y_valid = np.load(base_data_path + 'y_valid.npy')\n","\n","    # Load model\n","    model_path = 'model_fold_%d.h5' % (n_fold)\n","    model = model_fn(config['MAX_LEN'])\n","    \n","    # Make predictions\n","    model.load_weights(MODEL_BASE_PATH + model_path)\n","    predict_eval_df(k_fold_best, model, x_train, x_valid, get_test_dataset, decode, n_fold, tokenizer, config, config['question_size'])"],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"xxbg-_R_p2dE","colab_type":"text"},"source":["# Model evaluation"]},{"cell_type":"code","metadata":{"id":"KgsapEFup3zY","colab_type":"code","cellView":"form","outputId":"d2c785fa-600d-4dd8-de80-23d72e4b2846","executionInfo":{"status":"ok","timestamp":1590505632321,"user_tz":180,"elapsed":847301,"user":{"displayName":"Dimitre Oliveira","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjWI4QgYDUyC8ZcW5KHpuBwcY-MZWVqbPWcZSzxIg=s64","userId":"06256612867315483887"}},"colab":{"base_uri":"https://localhost:8080/","height":302}},"source":["#@title\n","display(evaluate_model_kfold(k_fold_best, config['N_FOLDS']).style.applymap(color_map))"],"execution_count":12,"outputs":[{"output_type":"display_data","data":{"text/html":["<style  type=\"text/css\" >\n","    #T_93488538_9f62_11ea_be7c_0242ac1c0002row0_col0 {\n","            color:  black;\n","        }    #T_93488538_9f62_11ea_be7c_0242ac1c0002row0_col1 {\n","            color:  black;\n","        }    #T_93488538_9f62_11ea_be7c_0242ac1c0002row0_col2 {\n","            color:  red;\n","        }    #T_93488538_9f62_11ea_be7c_0242ac1c0002row0_col3 {\n","            color:  black;\n","        }    #T_93488538_9f62_11ea_be7c_0242ac1c0002row0_col4 {\n","            color:  black;\n","        }    #T_93488538_9f62_11ea_be7c_0242ac1c0002row0_col5 {\n","            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#T_93488538_9f62_11ea_be7c_0242ac1c0002row13_col7 {\n","            color:  green;\n","        }    #T_93488538_9f62_11ea_be7c_0242ac1c0002row13_col8 {\n","            color:  black;\n","        }    #T_93488538_9f62_11ea_be7c_0242ac1c0002row13_col9 {\n","            color:  green;\n","        }    #T_93488538_9f62_11ea_be7c_0242ac1c0002row13_col10 {\n","            color:  black;\n","        }    #T_93488538_9f62_11ea_be7c_0242ac1c0002row13_col11 {\n","            color:  green;\n","        }    #T_93488538_9f62_11ea_be7c_0242ac1c0002row13_col12 {\n","            color:  green;\n","        }</style><table id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >Train</th>        <th class=\"col_heading level0 col1\" >Valid</th>        <th class=\"col_heading level0 col2\" >Var</th>        <th class=\"col_heading level0 col3\" >Train_fold_1</th>        <th class=\"col_heading level0 col4\" >Valid_fold_1</th>        <th class=\"col_heading level0 col5\" >Train_fold_2</th>        <th class=\"col_heading level0 col6\" >Valid_fold_2</th>        <th class=\"col_heading level0 col7\" >Train_fold_3</th>        <th class=\"col_heading level0 col8\" >Valid_fold_3</th>        <th class=\"col_heading level0 col9\" >Train_fold_4</th>        <th class=\"col_heading level0 col10\" >Valid_fold_4</th>        <th class=\"col_heading level0 col11\" >Train_fold_5</th>        <th class=\"col_heading level0 col12\" >Valid_fold_5</th>    </tr>    <tr>        <th class=\"index_name level0\" >Metric/Jaccard</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n","                <tr>\n","                        <th id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >Overall</th>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row0_col0\" class=\"data row0 col0\" >0.772706</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row0_col1\" class=\"data row0 col1\" >0.723208</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row0_col2\" class=\"data row0 col2\" >0.049499</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row0_col3\" class=\"data row0 col3\" >0.790091</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row0_col4\" class=\"data row0 col4\" >0.724111</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row0_col5\" class=\"data row0 col5\" >0.765286</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row0_col6\" class=\"data row0 col6\" >0.723221</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row0_col7\" class=\"data row0 col7\" >0.781439</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row0_col8\" class=\"data row0 col8\" >0.723999</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row0_col9\" class=\"data row0 col9\" >0.761989</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row0_col10\" class=\"data row0 col10\" >0.718305</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row0_col11\" class=\"data row0 col11\" >0.764727</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row0_col12\" class=\"data row0 col12\" >0.726403</td>\n","            </tr>\n","            <tr>\n","                        <th id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >Sentiment negative</th>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row1_col0\" class=\"data row1 col0\" >0.636650</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row1_col1\" class=\"data row1 col1\" >0.547111</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row1_col2\" class=\"data row1 col2\" >0.089540</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row1_col3\" class=\"data row1 col3\" >0.671559</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row1_col4\" class=\"data row1 col4\" >0.533148</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row1_col5\" class=\"data row1 col5\" >0.619451</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row1_col6\" class=\"data row1 col6\" >0.543506</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row1_col7\" class=\"data row1 col7\" >0.652915</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row1_col8\" class=\"data row1 col8\" >0.561834</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row1_col9\" class=\"data row1 col9\" >0.616861</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row1_col10\" class=\"data row1 col10\" >0.546448</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row1_col11\" class=\"data row1 col11\" >0.622465</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row1_col12\" class=\"data row1 col12\" >0.550617</td>\n","            </tr>\n","            <tr>\n","                        <th id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002level0_row2\" class=\"row_heading level0 row2\" >Sentiment neutral</th>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row2_col0\" class=\"data row2 col0\" >0.977963</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row2_col1\" class=\"data row2 col1\" >0.975702</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row2_col2\" class=\"data row2 col2\" >0.002261</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row2_col3\" class=\"data row2 col3\" >0.978191</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row2_col4\" class=\"data row2 col4\" >0.976611</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row2_col5\" class=\"data row2 col5\" >0.977819</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row2_col6\" class=\"data row2 col6\" >0.976165</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row2_col7\" class=\"data row2 col7\" >0.978125</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row2_col8\" class=\"data row2 col8\" >0.973820</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row2_col9\" class=\"data row2 col9\" >0.978002</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row2_col10\" class=\"data row2 col10\" >0.973661</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row2_col11\" class=\"data row2 col11\" >0.977676</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row2_col12\" class=\"data row2 col12\" >0.978251</td>\n","            </tr>\n","            <tr>\n","                        <th id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002level0_row3\" class=\"row_heading level0 row3\" >Sentiment positive</th>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row3_col0\" class=\"data row3 col0\" >0.620860</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row3_col1\" class=\"data row3 col1\" >0.544315</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row3_col2\" class=\"data row3 col2\" >0.076545</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row3_col3\" class=\"data row3 col3\" >0.645356</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row3_col4\" class=\"data row3 col4\" >0.558750</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row3_col5\" class=\"data row3 col5\" >0.612542</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row3_col6\" class=\"data row3 col6\" >0.546975</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row3_col7\" class=\"data row3 col7\" >0.634262</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row3_col8\" class=\"data row3 col8\" >0.536060</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row3_col9\" class=\"data row3 col9\" >0.603945</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row3_col10\" class=\"data row3 col10\" >0.531718</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row3_col11\" class=\"data row3 col11\" >0.608194</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row3_col12\" class=\"data row3 col12\" >0.548071</td>\n","            </tr>\n","            <tr>\n","                        <th id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002level0_row4\" class=\"row_heading level0 row4\" >0 <= text tokens < 3</th>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row4_col0\" class=\"data row4 col0\" >0.961189</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row4_col1\" class=\"data row4 col1\" >0.955159</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row4_col2\" class=\"data row4 col2\" >0.006030</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row4_col3\" class=\"data row4 col3\" >0.961712</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row4_col4\" class=\"data row4 col4\" >0.961538</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row4_col5\" class=\"data row4 col5\" >0.965066</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row4_col6\" class=\"data row4 col6\" >0.939655</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row4_col7\" class=\"data row4 col7\" >0.964435</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row4_col8\" class=\"data row4 col8\" >0.979167</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row4_col9\" class=\"data row4 col9\" >0.959574</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row4_col10\" class=\"data row4 col10\" >0.942308</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row4_col11\" class=\"data row4 col11\" >0.955157</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row4_col12\" class=\"data row4 col12\" >0.953125</td>\n","            </tr>\n","            <tr>\n","                        <th id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002level0_row5\" class=\"row_heading level0 row5\" >3 <= text tokens < 15</th>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row5_col0\" class=\"data row5 col0\" >0.819184</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row5_col1\" class=\"data row5 col1\" >0.780877</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row5_col2\" class=\"data row5 col2\" >0.038307</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row5_col3\" class=\"data row5 col3\" >0.829993</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row5_col4\" class=\"data row5 col4\" >0.788988</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row5_col5\" class=\"data row5 col5\" >0.816547</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row5_col6\" class=\"data row5 col6\" >0.775075</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row5_col7\" class=\"data row5 col7\" >0.823587</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row5_col8\" class=\"data row5 col8\" >0.782714</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row5_col9\" class=\"data row5 col9\" >0.812592</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row5_col10\" class=\"data row5 col10\" >0.777377</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row5_col11\" class=\"data row5 col11\" >0.813201</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row5_col12\" class=\"data row5 col12\" >0.780233</td>\n","            </tr>\n","            <tr>\n","                        <th id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002level0_row6\" class=\"row_heading level0 row6\" >15 <= text tokens < 30</th>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row6_col0\" class=\"data row6 col0\" >0.744354</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row6_col1\" class=\"data row6 col1\" >0.689279</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row6_col2\" class=\"data row6 col2\" >0.055075</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row6_col3\" class=\"data row6 col3\" >0.765526</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row6_col4\" class=\"data row6 col4\" >0.686093</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row6_col5\" class=\"data row6 col5\" >0.732501</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row6_col6\" class=\"data row6 col6\" >0.691964</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row6_col7\" class=\"data row6 col7\" >0.756531</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row6_col8\" class=\"data row6 col8\" >0.691380</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row6_col9\" class=\"data row6 col9\" >0.731939</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row6_col10\" class=\"data row6 col10\" >0.677020</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row6_col11\" class=\"data row6 col11\" >0.735273</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row6_col12\" class=\"data row6 col12\" >0.699938</td>\n","            </tr>\n","            <tr>\n","                        <th id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002level0_row7\" class=\"row_heading level0 row7\" >30 <= text tokens < 50</th>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row7_col0\" class=\"data row7 col0\" >0.718818</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row7_col1\" class=\"data row7 col1\" >0.652795</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row7_col2\" class=\"data row7 col2\" >0.066022</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row7_col3\" class=\"data row7 col3\" >0.743856</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row7_col4\" class=\"data row7 col4\" >0.645390</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row7_col5\" class=\"data row7 col5\" >0.712022</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row7_col6\" class=\"data row7 col6\" >0.654790</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row7_col7\" class=\"data row7 col7\" >0.728565</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row7_col8\" class=\"data row7 col8\" >0.650741</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row7_col9\" class=\"data row7 col9\" >0.701762</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row7_col10\" class=\"data row7 col10\" >0.663677</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row7_col11\" class=\"data row7 col11\" >0.707884</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row7_col12\" class=\"data row7 col12\" >0.649378</td>\n","            </tr>\n","            <tr>\n","                        <th id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002level0_row8\" class=\"row_heading level0 row8\" >50 <= text tokens < 120</th>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row8_col0\" class=\"data row8 col0\" >0.905601</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row8_col1\" class=\"data row8 col1\" >0.882966</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row8_col2\" class=\"data row8 col2\" >0.022635</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row8_col3\" class=\"data row8 col3\" >0.939286</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row8_col4\" class=\"data row8 col4\" >0.947368</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row8_col5\" class=\"data row8 col5\" >0.924074</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row8_col6\" class=\"data row8 col6\" >0.928571</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row8_col7\" class=\"data row8 col7\" >0.927832</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row8_col8\" class=\"data row8 col8\" >1.000000</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row8_col9\" class=\"data row8 col9\" >0.863004</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row8_col10\" class=\"data row8 col10\" >0.788889</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row8_col11\" class=\"data row8 col11\" >0.873810</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row8_col12\" class=\"data row8 col12\" >0.750000</td>\n","            </tr>\n","            <tr>\n","                        <th id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002level0_row9\" class=\"row_heading level0 row9\" >0 <= selected text tokens < 3</th>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row9_col0\" class=\"data row9 col0\" >0.731791</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row9_col1\" class=\"data row9 col1\" >0.644347</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row9_col2\" class=\"data row9 col2\" >0.087444</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row9_col3\" class=\"data row9 col3\" >0.766333</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row9_col4\" class=\"data row9 col4\" >0.650946</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row9_col5\" class=\"data row9 col5\" >0.716146</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row9_col6\" class=\"data row9 col6\" >0.622247</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row9_col7\" class=\"data row9 col7\" >0.685464</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row9_col8\" class=\"data row9 col8\" >0.582319</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row9_col9\" class=\"data row9 col9\" >0.751777</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row9_col10\" class=\"data row9 col10\" >0.681225</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row9_col11\" class=\"data row9 col11\" >0.739238</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row9_col12\" class=\"data row9 col12\" >0.684999</td>\n","            </tr>\n","            <tr>\n","                        <th id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002level0_row10\" class=\"row_heading level0 row10\" >3 <= selected text tokens < 15</th>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row10_col0\" class=\"data row10 col0\" >0.735982</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row10_col1\" class=\"data row10 col1\" >0.688541</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row10_col2\" class=\"data row10 col2\" >0.047441</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row10_col3\" class=\"data row10 col3\" >0.748633</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row10_col4\" class=\"data row10 col4\" >0.692717</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row10_col5\" class=\"data row10 col5\" >0.729552</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row10_col6\" class=\"data row10 col6\" >0.699207</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row10_col7\" class=\"data row10 col7\" >0.776856</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row10_col8\" class=\"data row10 col8\" >0.718657</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row10_col9\" class=\"data row10 col9\" >0.705910</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row10_col10\" class=\"data row10 col10\" >0.659164</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row10_col11\" class=\"data row10 col11\" >0.718961</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row10_col12\" class=\"data row10 col12\" >0.672962</td>\n","            </tr>\n","            <tr>\n","                        <th id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002level0_row11\" class=\"row_heading level0 row11\" >15 <= selected text tokens < 30</th>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row11_col0\" class=\"data row11 col0\" >0.872185</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row11_col1\" class=\"data row11 col1\" >0.859087</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row11_col2\" class=\"data row11 col2\" >0.013098</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row11_col3\" class=\"data row11 col3\" >0.880590</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row11_col4\" class=\"data row11 col4\" >0.847552</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row11_col5\" class=\"data row11 col5\" >0.869999</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row11_col6\" class=\"data row11 col6\" >0.868353</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row11_col7\" class=\"data row11 col7\" >0.882645</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row11_col8\" class=\"data row11 col8\" >0.869169</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row11_col9\" class=\"data row11 col9\" >0.863205</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row11_col10\" class=\"data row11 col10\" >0.858399</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row11_col11\" class=\"data row11 col11\" >0.864484</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row11_col12\" class=\"data row11 col12\" >0.851963</td>\n","            </tr>\n","            <tr>\n","                        <th id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002level0_row12\" class=\"row_heading level0 row12\" >30 <= selected text tokens < 50</th>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row12_col0\" class=\"data row12 col0\" >0.918815</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row12_col1\" class=\"data row12 col1\" >0.906514</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row12_col2\" class=\"data row12 col2\" >0.012301</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row12_col3\" class=\"data row12 col3\" >0.926423</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row12_col4\" class=\"data row12 col4\" >0.896907</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row12_col5\" class=\"data row12 col5\" >0.922099</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row12_col6\" class=\"data row12 col6\" >0.896713</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row12_col7\" class=\"data row12 col7\" >0.919720</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row12_col8\" class=\"data row12 col8\" >0.916494</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row12_col9\" class=\"data row12 col9\" >0.911334</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row12_col10\" class=\"data row12 col10\" >0.917189</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row12_col11\" class=\"data row12 col11\" >0.914498</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row12_col12\" class=\"data row12 col12\" >0.905267</td>\n","            </tr>\n","            <tr>\n","                        <th id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002level0_row13\" class=\"row_heading level0 row13\" >50 <= selected text tokens < 120</th>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row13_col0\" class=\"data row13 col0\" >0.992857</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row13_col1\" class=\"data row13 col1\" >1.000000</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row13_col2\" class=\"data row13 col2\" >-0.007143</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row13_col3\" class=\"data row13 col3\" >0.988095</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row13_col4\" class=\"data row13 col4\" >nan</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row13_col5\" class=\"data row13 col5\" >1.000000</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row13_col6\" class=\"data row13 col6\" >1.000000</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row13_col7\" class=\"data row13 col7\" >0.988095</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row13_col8\" class=\"data row13 col8\" >nan</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row13_col9\" class=\"data row13 col9\" >0.988095</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row13_col10\" class=\"data row13 col10\" >nan</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row13_col11\" class=\"data row13 col11\" >1.000000</td>\n","                        <td id=\"T_93488538_9f62_11ea_be7c_0242ac1c0002row13_col12\" class=\"data row13 col12\" >1.000000</td>\n","            </tr>\n","    </tbody></table>"],"text/plain":["<pandas.io.formats.style.Styler at 0x7f37bd828a58>"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"yP3xG-Cenvry","colab_type":"text"},"source":["# Visualize predictions"]},{"cell_type":"code","metadata":{"_kg_hide-input":true,"id":"cGxcMVRMnvrz","colab_type":"code","cellView":"form","outputId":"06188dda-8483-409c-9827-09b91c7adc4f","executionInfo":{"status":"ok","timestamp":1590505632322,"user_tz":180,"elapsed":847281,"user":{"displayName":"Dimitre Oliveira","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjWI4QgYDUyC8ZcW5KHpuBwcY-MZWVqbPWcZSzxIg=s64","userId":"06256612867315483887"}},"colab":{"base_uri":"https://localhost:8080/","height":597}},"source":["#@title\n","display(k_fold[[c for c in k_fold.columns if not (c.startswith('textID') or \n","                                                  c.startswith('text_len') or \n","                                                  c.startswith('selected_text_len') or \n","                                                  c.startswith('text_wordCnt') or \n","                                                  c.startswith('selected_text_wordCnt') or \n","                                                  c.startswith('fold_') or \n","                                                  c.startswith('start_fold_') or \n","                                                  c.startswith('end_fold_'))]].head(15))"],"execution_count":13,"outputs":[{"output_type":"display_data","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>index</th>\n","      <th>text</th>\n","      <th>selected_text</th>\n","      <th>sentiment</th>\n","      <th>jaccard</th>\n","      <th>text_tokenCnt</th>\n","      <th>selected_text_tokenCnt</th>\n","      <th>imputed</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0</td>\n","      <td>i`d have responded, if i were going</td>\n","      <td>i`d have responded, if i were going</td>\n","      <td>neutral</td>\n","      <td>1.000000</td>\n","      <td>10</td>\n","      <td>10</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1</td>\n","      <td>sooo sad i will miss you here in san diego!!!</td>\n","      <td>sooo sad</td>\n","      <td>negative</td>\n","      <td>0.200000</td>\n","      <td>13</td>\n","      <td>3</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2</td>\n","      <td>my boss is bullying me...</td>\n","      <td>bullying me</td>\n","      <td>negative</td>\n","      <td>0.166667</td>\n","      <td>6</td>\n","      <td>2</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>3</td>\n","      <td>what interview! leave me alone</td>\n","      <td>leave me alone</td>\n","      <td>negative</td>\n","      <td>0.600000</td>\n","      <td>6</td>\n","      <td>3</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>4</td>\n","      <td>sons of ****, why couldn`t they put them on the releases we already bought</td>\n","      <td>sons of ****,</td>\n","      <td>negative</td>\n","      <td>0.214286</td>\n","      <td>17</td>\n","      <td>4</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>5</td>\n","      <td>http://www.dothebouncy.com/smf - some shameless plugging for the best rangers forum on earth</td>\n","      <td>http://www.dothebouncy.com/smf - some shameless plugging for the best rangers forum on earth</td>\n","      <td>neutral</td>\n","      <td>1.000000</td>\n","      <td>27</td>\n","      <td>27</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>6</td>\n","      <td>2am feedings for the baby are fun when he is all smiles and coos</td>\n","      <td>fun</td>\n","      <td>positive</td>\n","      <td>0.071429</td>\n","      <td>17</td>\n","      <td>1</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>7</td>\n","      <td>soooo high</td>\n","      <td>soooo high</td>\n","      <td>neutral</td>\n","      <td>1.000000</td>\n","      <td>3</td>\n","      <td>3</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>8</td>\n","      <td>both of you</td>\n","      <td>both of you</td>\n","      <td>neutral</td>\n","      <td>1.000000</td>\n","      <td>3</td>\n","      <td>3</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>9</td>\n","      <td>journey!? wow... u just became cooler.  hehe... (is that possible!?)</td>\n","      <td>wow... u just became cooler.</td>\n","      <td>positive</td>\n","      <td>0.500000</td>\n","      <td>19</td>\n","      <td>7</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>10</td>\n","      <td>as much as i love to be hopeful, i reckon the chances are minimal =p i`m never gonna get my cake and stuff</td>\n","      <td>as much as i love to be hopeful, i reckon the chances are minimal =p i`m never gonna get my cake and stuff</td>\n","      <td>neutral</td>\n","      <td>1.000000</td>\n","      <td>27</td>\n","      <td>27</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>11</td>\n","      <td>i really really like the song love story by taylor swift</td>\n","      <td>like</td>\n","      <td>positive</td>\n","      <td>0.100000</td>\n","      <td>12</td>\n","      <td>1</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>12</td>\n","      <td>my sharpie is running dangerously low on ink</td>\n","      <td>dangerously</td>\n","      <td>negative</td>\n","      <td>0.125000</td>\n","      <td>9</td>\n","      <td>1</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>13</td>\n","      <td>i want to go to music tonight but i lost my voice.</td>\n","      <td>lost</td>\n","      <td>negative</td>\n","      <td>0.100000</td>\n","      <td>13</td>\n","      <td>1</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>14</td>\n","      <td>test test from the lg env2</td>\n","      <td>test test from the lg env2</td>\n","      <td>neutral</td>\n","      <td>1.000000</td>\n","      <td>8</td>\n","      <td>8</td>\n","      <td>False</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["    index  ... imputed\n","0       0  ...   False\n","1       1  ...   False\n","2       2  ...   False\n","3       3  ...   False\n","4       4  ...   False\n","5       5  ...   False\n","6       6  ...   False\n","7       7  ...   False\n","8       8  ...   False\n","9       9  ...   False\n","10     10  ...   False\n","11     11  ...   False\n","12     12  ...   False\n","13     13  ...   False\n","14     14  ...   False\n","\n","[15 rows x 8 columns]"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"wswPoUt1zZLs","colab_type":"text"},"source":["## Post-processing evaluation"]},{"cell_type":"code","metadata":{"id":"j_sRri2DIY2o","colab_type":"code","cellView":"form","outputId":"5a174fc2-d217-43c9-c9dc-475d382d1c94","executionInfo":{"status":"ok","timestamp":1590505647599,"user_tz":180,"elapsed":862542,"user":{"displayName":"Dimitre Oliveira","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjWI4QgYDUyC8ZcW5KHpuBwcY-MZWVqbPWcZSzxIg=s64","userId":"06256612867315483887"}},"colab":{"base_uri":"https://localhost:8080/","height":376}},"source":["#@title\n","k_fold_best_post = k_fold_best.copy()\n","k_fold_best_post.loc[k_fold_best_post['sentiment'] == 'neutral', 'selected_text'] = k_fold_best_post[\"text\"]\n","print('\\nImpute neutral')\n","display(evaluate_model_kfold(k_fold_best_post, config['N_FOLDS']).head(1).style.applymap(color_map))\n","\n","k_fold_best_post = k_fold_best.copy()\n","k_fold_best_post.loc[k_fold_best_post['text_wordCnt'] <= 3, 'selected_text'] = k_fold_best_post[\"text\"]\n","print('\\nImpute <= 3')\n","display(evaluate_model_kfold(k_fold_best_post, config['N_FOLDS']).head(1).style.applymap(color_map))\n","\n","k_fold_best_post = k_fold_best.copy()\n","k_fold_best_post.loc[k_fold_best_post['sentiment'] == 'neutral', 'selected_text'] = k_fold_best_post[\"text\"]\n","k_fold_best_post.loc[k_fold_best_post['text_wordCnt'] <= 3, 'selected_text'] = k_fold_best_post[\"text\"]\n","print('\\nImpute neutral nao <= 3')\n","display(evaluate_model_kfold(k_fold_best_post, config['N_FOLDS']).head(1).style.applymap(color_map))\n","\n","k_fold_best_post = k_fold_best.copy()\n","k_fold_best_post['selected_text'] = k_fold_best_post['selected_text'].apply(lambda x: x.replace('!!!!', '!') if len(x.split())==1 else x)\n","k_fold_best_post['selected_text'] = k_fold_best_post['selected_text'].apply(lambda x: x.replace('..', '.') if len(x.split())==1 else x)\n","k_fold_best_post['selected_text'] = k_fold_best_post['selected_text'].apply(lambda x: x.replace('...', '.') if len(x.split())==1 else x)\n","print('\\nImpute noise')\n","display(evaluate_model_kfold(k_fold_best_post, config['N_FOLDS']).head(1).style.applymap(color_map))"],"execution_count":14,"outputs":[{"output_type":"stream","text":["\n","Impute neutral\n"],"name":"stdout"},{"output_type":"display_data","data":{"text/html":["<style  type=\"text/css\" >\n","    #T_958c311e_9f62_11ea_be7c_0242ac1c0002row0_col0 {\n","            color:  black;\n","        }    #T_958c311e_9f62_11ea_be7c_0242ac1c0002row0_col1 {\n","            color:  black;\n","        }    #T_958c311e_9f62_11ea_be7c_0242ac1c0002row0_col2 {\n","            color:  red;\n","        }    #T_958c311e_9f62_11ea_be7c_0242ac1c0002row0_col3 {\n","            color:  black;\n","        }    #T_958c311e_9f62_11ea_be7c_0242ac1c0002row0_col4 {\n","            color:  black;\n","        }    #T_958c311e_9f62_11ea_be7c_0242ac1c0002row0_col5 {\n","            color:  black;\n","        }    #T_958c311e_9f62_11ea_be7c_0242ac1c0002row0_col6 {\n","            color:  black;\n","        }    #T_958c311e_9f62_11ea_be7c_0242ac1c0002row0_col7 {\n","            color:  black;\n","        }    #T_958c311e_9f62_11ea_be7c_0242ac1c0002row0_col8 {\n","            color:  black;\n","        }    #T_958c311e_9f62_11ea_be7c_0242ac1c0002row0_col9 {\n","            color:  black;\n","        }    #T_958c311e_9f62_11ea_be7c_0242ac1c0002row0_col10 {\n","            color:  black;\n","        }    #T_958c311e_9f62_11ea_be7c_0242ac1c0002row0_col11 {\n","            color:  black;\n","        }    #T_958c311e_9f62_11ea_be7c_0242ac1c0002row0_col12 {\n","            color:  black;\n","        }</style><table id=\"T_958c311e_9f62_11ea_be7c_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >Train</th>        <th class=\"col_heading level0 col1\" >Valid</th>        <th class=\"col_heading level0 col2\" >Var</th>        <th class=\"col_heading level0 col3\" >Train_fold_1</th>        <th class=\"col_heading level0 col4\" >Valid_fold_1</th>        <th class=\"col_heading level0 col5\" >Train_fold_2</th>        <th class=\"col_heading level0 col6\" >Valid_fold_2</th>        <th class=\"col_heading level0 col7\" >Train_fold_3</th>        <th class=\"col_heading level0 col8\" >Valid_fold_3</th>        <th class=\"col_heading level0 col9\" >Train_fold_4</th>        <th class=\"col_heading level0 col10\" >Valid_fold_4</th>        <th class=\"col_heading level0 col11\" >Train_fold_5</th>        <th class=\"col_heading level0 col12\" >Valid_fold_5</th>    </tr>    <tr>        <th class=\"index_name level0\" >Metric/Jaccard</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n","                <tr>\n","                        <th id=\"T_958c311e_9f62_11ea_be7c_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >Overall</th>\n","                        <td id=\"T_958c311e_9f62_11ea_be7c_0242ac1c0002row0_col0\" class=\"data row0 col0\" >0.779147</td>\n","                        <td id=\"T_958c311e_9f62_11ea_be7c_0242ac1c0002row0_col1\" class=\"data row0 col1\" >0.730732</td>\n","                        <td id=\"T_958c311e_9f62_11ea_be7c_0242ac1c0002row0_col2\" class=\"data row0 col2\" >0.048415</td>\n","                        <td id=\"T_958c311e_9f62_11ea_be7c_0242ac1c0002row0_col3\" class=\"data row0 col3\" >0.795184</td>\n","                        <td id=\"T_958c311e_9f62_11ea_be7c_0242ac1c0002row0_col4\" class=\"data row0 col4\" >0.730165</td>\n","                        <td id=\"T_958c311e_9f62_11ea_be7c_0242ac1c0002row0_col5\" class=\"data row0 col5\" >0.772411</td>\n","                        <td id=\"T_958c311e_9f62_11ea_be7c_0242ac1c0002row0_col6\" class=\"data row0 col6\" >0.731422</td>\n","                        <td id=\"T_958c311e_9f62_11ea_be7c_0242ac1c0002row0_col7\" class=\"data row0 col7\" >0.786817</td>\n","                        <td id=\"T_958c311e_9f62_11ea_be7c_0242ac1c0002row0_col8\" class=\"data row0 col8\" >0.730739</td>\n","                        <td id=\"T_958c311e_9f62_11ea_be7c_0242ac1c0002row0_col9\" class=\"data row0 col9\" >0.769336</td>\n","                        <td id=\"T_958c311e_9f62_11ea_be7c_0242ac1c0002row0_col10\" class=\"data row0 col10\" >0.727980</td>\n","                        <td id=\"T_958c311e_9f62_11ea_be7c_0242ac1c0002row0_col11\" class=\"data row0 col11\" >0.771985</td>\n","                        <td id=\"T_958c311e_9f62_11ea_be7c_0242ac1c0002row0_col12\" class=\"data row0 col12\" >0.733353</td>\n","            </tr>\n","    </tbody></table>"],"text/plain":["<pandas.io.formats.style.Styler at 0x7f37bcbbfd68>"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n","Impute <= 3\n"],"name":"stdout"},{"output_type":"display_data","data":{"text/html":["<style  type=\"text/css\" >\n","    #T_97bcc93a_9f62_11ea_be7c_0242ac1c0002row0_col0 {\n","            color:  black;\n","        }    #T_97bcc93a_9f62_11ea_be7c_0242ac1c0002row0_col1 {\n","            color:  black;\n","        }    #T_97bcc93a_9f62_11ea_be7c_0242ac1c0002row0_col2 {\n","            color:  red;\n","        }    #T_97bcc93a_9f62_11ea_be7c_0242ac1c0002row0_col3 {\n","            color:  black;\n","        }    #T_97bcc93a_9f62_11ea_be7c_0242ac1c0002row0_col4 {\n","            color:  black;\n","        }    #T_97bcc93a_9f62_11ea_be7c_0242ac1c0002row0_col5 {\n","            color:  black;\n","        }    #T_97bcc93a_9f62_11ea_be7c_0242ac1c0002row0_col6 {\n","            color:  black;\n","        }    #T_97bcc93a_9f62_11ea_be7c_0242ac1c0002row0_col7 {\n","            color:  black;\n","        }    #T_97bcc93a_9f62_11ea_be7c_0242ac1c0002row0_col8 {\n","            color:  black;\n","        }    #T_97bcc93a_9f62_11ea_be7c_0242ac1c0002row0_col9 {\n","            color:  black;\n","        }    #T_97bcc93a_9f62_11ea_be7c_0242ac1c0002row0_col10 {\n","            color:  black;\n","        }    #T_97bcc93a_9f62_11ea_be7c_0242ac1c0002row0_col11 {\n","            color:  black;\n","        }    #T_97bcc93a_9f62_11ea_be7c_0242ac1c0002row0_col12 {\n","            color:  black;\n","        }</style><table id=\"T_97bcc93a_9f62_11ea_be7c_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >Train</th>        <th class=\"col_heading level0 col1\" >Valid</th>        <th class=\"col_heading level0 col2\" >Var</th>        <th class=\"col_heading level0 col3\" >Train_fold_1</th>        <th class=\"col_heading level0 col4\" >Valid_fold_1</th>        <th class=\"col_heading level0 col5\" >Train_fold_2</th>        <th class=\"col_heading level0 col6\" >Valid_fold_2</th>        <th class=\"col_heading level0 col7\" >Train_fold_3</th>        <th class=\"col_heading level0 col8\" >Valid_fold_3</th>        <th class=\"col_heading level0 col9\" >Train_fold_4</th>        <th class=\"col_heading level0 col10\" >Valid_fold_4</th>        <th class=\"col_heading level0 col11\" >Train_fold_5</th>        <th class=\"col_heading level0 col12\" >Valid_fold_5</th>    </tr>    <tr>        <th class=\"index_name level0\" >Metric/Jaccard</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n","                <tr>\n","                        <th id=\"T_97bcc93a_9f62_11ea_be7c_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >Overall</th>\n","                        <td id=\"T_97bcc93a_9f62_11ea_be7c_0242ac1c0002row0_col0\" class=\"data row0 col0\" >0.771295</td>\n","                        <td id=\"T_97bcc93a_9f62_11ea_be7c_0242ac1c0002row0_col1\" class=\"data row0 col1\" >0.722828</td>\n","                        <td id=\"T_97bcc93a_9f62_11ea_be7c_0242ac1c0002row0_col2\" class=\"data row0 col2\" >0.048467</td>\n","                        <td id=\"T_97bcc93a_9f62_11ea_be7c_0242ac1c0002row0_col3\" class=\"data row0 col3\" >0.788261</td>\n","                        <td id=\"T_97bcc93a_9f62_11ea_be7c_0242ac1c0002row0_col4\" class=\"data row0 col4\" >0.724327</td>\n","                        <td id=\"T_97bcc93a_9f62_11ea_be7c_0242ac1c0002row0_col5\" class=\"data row0 col5\" >0.763553</td>\n","                        <td id=\"T_97bcc93a_9f62_11ea_be7c_0242ac1c0002row0_col6\" class=\"data row0 col6\" >0.724274</td>\n","                        <td id=\"T_97bcc93a_9f62_11ea_be7c_0242ac1c0002row0_col7\" class=\"data row0 col7\" >0.782116</td>\n","                        <td id=\"T_97bcc93a_9f62_11ea_be7c_0242ac1c0002row0_col8\" class=\"data row0 col8\" >0.724123</td>\n","                        <td id=\"T_97bcc93a_9f62_11ea_be7c_0242ac1c0002row0_col9\" class=\"data row0 col9\" >0.759605</td>\n","                        <td id=\"T_97bcc93a_9f62_11ea_be7c_0242ac1c0002row0_col10\" class=\"data row0 col10\" >0.715578</td>\n","                        <td id=\"T_97bcc93a_9f62_11ea_be7c_0242ac1c0002row0_col11\" class=\"data row0 col11\" >0.762942</td>\n","                        <td id=\"T_97bcc93a_9f62_11ea_be7c_0242ac1c0002row0_col12\" class=\"data row0 col12\" >0.725839</td>\n","            </tr>\n","    </tbody></table>"],"text/plain":["<pandas.io.formats.style.Styler at 0x7f37bcbbf668>"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n","Impute neutral nao <= 3\n"],"name":"stdout"},{"output_type":"display_data","data":{"text/html":["<style  type=\"text/css\" >\n","    #T_99fad28c_9f62_11ea_be7c_0242ac1c0002row0_col0 {\n","            color:  black;\n","        }    #T_99fad28c_9f62_11ea_be7c_0242ac1c0002row0_col1 {\n","            color:  black;\n","        }    #T_99fad28c_9f62_11ea_be7c_0242ac1c0002row0_col2 {\n","            color:  red;\n","        }    #T_99fad28c_9f62_11ea_be7c_0242ac1c0002row0_col3 {\n","            color:  black;\n","        }    #T_99fad28c_9f62_11ea_be7c_0242ac1c0002row0_col4 {\n","            color:  black;\n","        }    #T_99fad28c_9f62_11ea_be7c_0242ac1c0002row0_col5 {\n","            color:  black;\n","        }    #T_99fad28c_9f62_11ea_be7c_0242ac1c0002row0_col6 {\n","            color:  black;\n","        }    #T_99fad28c_9f62_11ea_be7c_0242ac1c0002row0_col7 {\n","            color:  black;\n","        }    #T_99fad28c_9f62_11ea_be7c_0242ac1c0002row0_col8 {\n","            color:  black;\n","        }    #T_99fad28c_9f62_11ea_be7c_0242ac1c0002row0_col9 {\n","            color:  black;\n","        }    #T_99fad28c_9f62_11ea_be7c_0242ac1c0002row0_col10 {\n","            color:  black;\n","        }    #T_99fad28c_9f62_11ea_be7c_0242ac1c0002row0_col11 {\n","            color:  black;\n","        }    #T_99fad28c_9f62_11ea_be7c_0242ac1c0002row0_col12 {\n","            color:  black;\n","        }</style><table id=\"T_99fad28c_9f62_11ea_be7c_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >Train</th>        <th class=\"col_heading level0 col1\" >Valid</th>        <th class=\"col_heading level0 col2\" >Var</th>        <th class=\"col_heading level0 col3\" >Train_fold_1</th>        <th class=\"col_heading level0 col4\" >Valid_fold_1</th>        <th class=\"col_heading level0 col5\" >Train_fold_2</th>        <th class=\"col_heading level0 col6\" >Valid_fold_2</th>        <th class=\"col_heading level0 col7\" >Train_fold_3</th>        <th class=\"col_heading level0 col8\" >Valid_fold_3</th>        <th class=\"col_heading level0 col9\" >Train_fold_4</th>        <th class=\"col_heading level0 col10\" >Valid_fold_4</th>        <th class=\"col_heading level0 col11\" >Train_fold_5</th>        <th class=\"col_heading level0 col12\" >Valid_fold_5</th>    </tr>    <tr>        <th class=\"index_name level0\" >Metric/Jaccard</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n","                <tr>\n","                        <th id=\"T_99fad28c_9f62_11ea_be7c_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >Overall</th>\n","                        <td id=\"T_99fad28c_9f62_11ea_be7c_0242ac1c0002row0_col0\" class=\"data row0 col0\" >0.777499</td>\n","                        <td id=\"T_99fad28c_9f62_11ea_be7c_0242ac1c0002row0_col1\" class=\"data row0 col1\" >0.730083</td>\n","                        <td id=\"T_99fad28c_9f62_11ea_be7c_0242ac1c0002row0_col2\" class=\"data row0 col2\" >0.047416</td>\n","                        <td id=\"T_99fad28c_9f62_11ea_be7c_0242ac1c0002row0_col3\" class=\"data row0 col3\" >0.793211</td>\n","                        <td id=\"T_99fad28c_9f62_11ea_be7c_0242ac1c0002row0_col4\" class=\"data row0 col4\" >0.730444</td>\n","                        <td id=\"T_99fad28c_9f62_11ea_be7c_0242ac1c0002row0_col5\" class=\"data row0 col5\" >0.770388</td>\n","                        <td id=\"T_99fad28c_9f62_11ea_be7c_0242ac1c0002row0_col6\" class=\"data row0 col6\" >0.732165</td>\n","                        <td id=\"T_99fad28c_9f62_11ea_be7c_0242ac1c0002row0_col7\" class=\"data row0 col7\" >0.787284</td>\n","                        <td id=\"T_99fad28c_9f62_11ea_be7c_0242ac1c0002row0_col8\" class=\"data row0 col8\" >0.730538</td>\n","                        <td id=\"T_99fad28c_9f62_11ea_be7c_0242ac1c0002row0_col9\" class=\"data row0 col9\" >0.766732</td>\n","                        <td id=\"T_99fad28c_9f62_11ea_be7c_0242ac1c0002row0_col10\" class=\"data row0 col10\" >0.724665</td>\n","                        <td id=\"T_99fad28c_9f62_11ea_be7c_0242ac1c0002row0_col11\" class=\"data row0 col11\" >0.769878</td>\n","                        <td id=\"T_99fad28c_9f62_11ea_be7c_0242ac1c0002row0_col12\" class=\"data row0 col12\" >0.732603</td>\n","            </tr>\n","    </tbody></table>"],"text/plain":["<pandas.io.formats.style.Styler at 0x7f37bcbbfb70>"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n","Impute noise\n"],"name":"stdout"},{"output_type":"display_data","data":{"text/html":["<style  type=\"text/css\" >\n","    #T_9c654b7e_9f62_11ea_be7c_0242ac1c0002row0_col0 {\n","            color:  black;\n","        }    #T_9c654b7e_9f62_11ea_be7c_0242ac1c0002row0_col1 {\n","            color:  black;\n","        }    #T_9c654b7e_9f62_11ea_be7c_0242ac1c0002row0_col2 {\n","            color:  red;\n","        }    #T_9c654b7e_9f62_11ea_be7c_0242ac1c0002row0_col3 {\n","            color:  black;\n","        }    #T_9c654b7e_9f62_11ea_be7c_0242ac1c0002row0_col4 {\n","            color:  black;\n","        }    #T_9c654b7e_9f62_11ea_be7c_0242ac1c0002row0_col5 {\n","            color:  black;\n","        }    #T_9c654b7e_9f62_11ea_be7c_0242ac1c0002row0_col6 {\n","            color:  black;\n","        }    #T_9c654b7e_9f62_11ea_be7c_0242ac1c0002row0_col7 {\n","            color:  black;\n","        }    #T_9c654b7e_9f62_11ea_be7c_0242ac1c0002row0_col8 {\n","            color:  black;\n","        }    #T_9c654b7e_9f62_11ea_be7c_0242ac1c0002row0_col9 {\n","            color:  black;\n","        }    #T_9c654b7e_9f62_11ea_be7c_0242ac1c0002row0_col10 {\n","            color:  black;\n","        }    #T_9c654b7e_9f62_11ea_be7c_0242ac1c0002row0_col11 {\n","            color:  black;\n","        }    #T_9c654b7e_9f62_11ea_be7c_0242ac1c0002row0_col12 {\n","            color:  black;\n","        }</style><table id=\"T_9c654b7e_9f62_11ea_be7c_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >Train</th>        <th class=\"col_heading level0 col1\" >Valid</th>        <th class=\"col_heading level0 col2\" >Var</th>        <th class=\"col_heading level0 col3\" >Train_fold_1</th>        <th class=\"col_heading level0 col4\" >Valid_fold_1</th>        <th class=\"col_heading level0 col5\" >Train_fold_2</th>        <th class=\"col_heading level0 col6\" >Valid_fold_2</th>        <th class=\"col_heading level0 col7\" >Train_fold_3</th>        <th class=\"col_heading level0 col8\" >Valid_fold_3</th>        <th class=\"col_heading level0 col9\" >Train_fold_4</th>        <th class=\"col_heading level0 col10\" >Valid_fold_4</th>        <th class=\"col_heading level0 col11\" >Train_fold_5</th>        <th class=\"col_heading level0 col12\" >Valid_fold_5</th>    </tr>    <tr>        <th class=\"index_name level0\" >Metric/Jaccard</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n","                <tr>\n","                        <th id=\"T_9c654b7e_9f62_11ea_be7c_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >Overall</th>\n","                        <td id=\"T_9c654b7e_9f62_11ea_be7c_0242ac1c0002row0_col0\" class=\"data row0 col0\" >0.771403</td>\n","                        <td id=\"T_9c654b7e_9f62_11ea_be7c_0242ac1c0002row0_col1\" class=\"data row0 col1\" >0.722097</td>\n","                        <td id=\"T_9c654b7e_9f62_11ea_be7c_0242ac1c0002row0_col2\" class=\"data row0 col2\" >0.049306</td>\n","                        <td id=\"T_9c654b7e_9f62_11ea_be7c_0242ac1c0002row0_col3\" class=\"data row0 col3\" >0.788927</td>\n","                        <td id=\"T_9c654b7e_9f62_11ea_be7c_0242ac1c0002row0_col4\" class=\"data row0 col4\" >0.722737</td>\n","                        <td id=\"T_9c654b7e_9f62_11ea_be7c_0242ac1c0002row0_col5\" class=\"data row0 col5\" >0.763925</td>\n","                        <td id=\"T_9c654b7e_9f62_11ea_be7c_0242ac1c0002row0_col6\" class=\"data row0 col6\" >0.722006</td>\n","                        <td id=\"T_9c654b7e_9f62_11ea_be7c_0242ac1c0002row0_col7\" class=\"data row0 col7\" >0.780176</td>\n","                        <td id=\"T_9c654b7e_9f62_11ea_be7c_0242ac1c0002row0_col8\" class=\"data row0 col8\" >0.723411</td>\n","                        <td id=\"T_9c654b7e_9f62_11ea_be7c_0242ac1c0002row0_col9\" class=\"data row0 col9\" >0.760622</td>\n","                        <td id=\"T_9c654b7e_9f62_11ea_be7c_0242ac1c0002row0_col10\" class=\"data row0 col10\" >0.717197</td>\n","                        <td id=\"T_9c654b7e_9f62_11ea_be7c_0242ac1c0002row0_col11\" class=\"data row0 col11\" >0.763366</td>\n","                        <td id=\"T_9c654b7e_9f62_11ea_be7c_0242ac1c0002row0_col12\" class=\"data row0 col12\" >0.725133</td>\n","            </tr>\n","    </tbody></table>"],"text/plain":["<pandas.io.formats.style.Styler at 0x7f37bcb1acc0>"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"YBlUsCFUQVYF","colab_type":"text"},"source":["# Error analysis\n","\n","## 10 worst predictions"]},{"cell_type":"code","metadata":{"id":"EvVPpEJA9x8P","colab_type":"code","cellView":"form","outputId":"4581b4f8-ba60-4d0e-ed04-b393253f8122","executionInfo":{"status":"ok","timestamp":1590505647600,"user_tz":180,"elapsed":862527,"user":{"displayName":"Dimitre Oliveira","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjWI4QgYDUyC8ZcW5KHpuBwcY-MZWVqbPWcZSzxIg=s64","userId":"06256612867315483887"}},"colab":{"base_uri":"https://localhost:8080/","height":1000}},"source":["#@title\n","k_fold_best['jaccard_mean'] = (k_fold_best['jaccard_fold_1'] + k_fold_best['jaccard_fold_2'] + \n","                               k_fold_best['jaccard_fold_3'] + k_fold_best['jaccard_fold_4'] + \n","                               k_fold_best['jaccard_fold_4']) / 5\n","\n","display(k_fold_best[['text', 'selected_text', 'sentiment', 'jaccard', 'jaccard_mean', \n","                     'prediction_fold_1', 'prediction_fold_2', 'prediction_fold_3', \n","                     'prediction_fold_4', 'prediction_fold_5']].sort_values(by=['jaccard_mean']).head(10))"],"execution_count":15,"outputs":[{"output_type":"display_data","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>text</th>\n","      <th>selected_text</th>\n","      <th>sentiment</th>\n","      <th>jaccard</th>\n","      <th>jaccard_mean</th>\n","      <th>prediction_fold_1</th>\n","      <th>prediction_fold_2</th>\n","      <th>prediction_fold_3</th>\n","      <th>prediction_fold_4</th>\n","      <th>prediction_fold_5</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>11020</th>\n","      <td>is getting upset at work cus bindz and j are being bullies  and they won`t let me go duty free shopping!</td>\n","      <td>they won`t let me go</td>\n","      <td>negative</td>\n","      <td>0.250000</td>\n","      <td>0.0</td>\n","      <td>upset</td>\n","      <td>is getting upset</td>\n","      <td>upset</td>\n","      <td>upset</td>\n","      <td>upset</td>\n","    </tr>\n","    <tr>\n","      <th>23059</th>\n","      <td>waaa the octo drive and i can`t go for it</td>\n","      <td>waaa th</td>\n","      <td>negative</td>\n","      <td>0.090909</td>\n","      <td>0.0</td>\n","      <td>i can`t go for it</td>\n","      <td>i can`t go for it</td>\n","      <td>i can`t go for it</td>\n","      <td>i can`t go for it</td>\n","      <td>i can`t go for it</td>\n","    </tr>\n","    <tr>\n","      <th>13054</th>\n","      <td>hehe true. i wonder what he will come up with</td>\n","      <td>. i wonder what he will come up with</td>\n","      <td>positive</td>\n","      <td>0.727273</td>\n","      <td>0.0</td>\n","      <td>hehe true.</td>\n","      <td>hehe true.</td>\n","      <td>hehe true.</td>\n","      <td>hehe true.</td>\n","      <td>hehe true.</td>\n","    </tr>\n","    <tr>\n","      <th>7343</th>\n","      <td>i love finding regional groups of twitterers! glad i could connect you with a few new people</td>\n","      <td>glad</td>\n","      <td>positive</td>\n","      <td>0.062500</td>\n","      <td>0.0</td>\n","      <td>i love</td>\n","      <td>i love</td>\n","      <td>i love</td>\n","      <td>i love</td>\n","      <td>love</td>\n","    </tr>\n","    <tr>\n","      <th>16446</th>\n","      <td>i think i hate you.  i didnt really want to but you make it hard for me to like you what with the cake and concert o...</td>\n","      <td>t you make it hard for me</td>\n","      <td>negative</td>\n","      <td>0.240000</td>\n","      <td>0.0</td>\n","      <td>i think i hate</td>\n","      <td>i think i hate you.</td>\n","      <td>i think i hate you.</td>\n","      <td>i think i hate</td>\n","      <td>i think i hate you.</td>\n","    </tr>\n","    <tr>\n","      <th>4733</th>\n","      <td>thanks, brad!  looking forward to chatting with you too.. btw, like your new pix!</td>\n","      <td>, like your new pix!</td>\n","      <td>positive</td>\n","      <td>0.266667</td>\n","      <td>0.0</td>\n","      <td>thanks,</td>\n","      <td>thanks,</td>\n","      <td>thanks,</td>\n","      <td>thanks,</td>\n","      <td>thanks, brad!  looking forward</td>\n","    </tr>\n","    <tr>\n","      <th>16439</th>\n","      <td>ugh - car got stolen sometime between yesterday evening and this morning when husband was due to go to work  like we...</td>\n","      <td>like we can afford this???</td>\n","      <td>negative</td>\n","      <td>0.208333</td>\n","      <td>0.0</td>\n","      <td>ugh - car got stolen</td>\n","      <td>ugh - car got stolen</td>\n","      <td>ugh -</td>\n","      <td>ugh - car got stolen</td>\n","      <td>ugh - car got stolen</td>\n","    </tr>\n","    <tr>\n","      <th>24436</th>\n","      <td>had some lovely sugar puffs and just been playing with my amazing dog jack</td>\n","      <td>playing with my amazing dog jack</td>\n","      <td>positive</td>\n","      <td>0.428571</td>\n","      <td>0.0</td>\n","      <td>lovely</td>\n","      <td>lovely</td>\n","      <td>lovely</td>\n","      <td>lovely</td>\n","      <td>lovely</td>\n","    </tr>\n","    <tr>\n","      <th>21214</th>\n","      <td>i really hope you see my tweets. sent you so much, i swear. do a tour in the philippines, please?  *prays*</td>\n","      <td>please?  *prays*</td>\n","      <td>positive</td>\n","      <td>0.105263</td>\n","      <td>0.0</td>\n","      <td>i really hope</td>\n","      <td>i really hope</td>\n","      <td>i really hope</td>\n","      <td>i really hope</td>\n","      <td>i really hope</td>\n","    </tr>\n","    <tr>\n","      <th>218</th>\n","      <td>35mins through the 1hr 20mins google wave demo, that looks a lot of fun, would love to test it though.  http://bit.l...</td>\n","      <td>would love to test it though.</td>\n","      <td>positive</td>\n","      <td>0.285714</td>\n","      <td>0.0</td>\n","      <td>fun,</td>\n","      <td>fun,</td>\n","      <td>that looks a lot of fun,</td>\n","      <td>fun,</td>\n","      <td>fun,</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                                                                                                                          text  ...               prediction_fold_5\n","11020                 is getting upset at work cus bindz and j are being bullies  and they won`t let me go duty free shopping!  ...                           upset\n","23059                                                                                waaa the octo drive and i can`t go for it  ...               i can`t go for it\n","13054                                                                            hehe true. i wonder what he will come up with  ...                      hehe true.\n","7343                              i love finding regional groups of twitterers! glad i could connect you with a few new people  ...                            love\n","16446  i think i hate you.  i didnt really want to but you make it hard for me to like you what with the cake and concert o...  ...             i think i hate you.\n","4733                                         thanks, brad!  looking forward to chatting with you too.. btw, like your new pix!  ...  thanks, brad!  looking forward\n","16439  ugh - car got stolen sometime between yesterday evening and this morning when husband was due to go to work  like we...  ...            ugh - car got stolen\n","24436                                               had some lovely sugar puffs and just been playing with my amazing dog jack  ...                          lovely\n","21214               i really hope you see my tweets. sent you so much, i swear. do a tour in the philippines, please?  *prays*  ...                   i really hope\n","218    35mins through the 1hr 20mins google wave demo, that looks a lot of fun, would love to test it though.  http://bit.l...  ...                            fun,\n","\n","[10 rows x 10 columns]"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"oWpJisngSFX2","colab_type":"text"},"source":["# Sentiment"]},{"cell_type":"code","metadata":{"id":"9oazyItBSH8x","colab_type":"code","cellView":"form","outputId":"07ab2ffc-4c82-44b8-a21e-f3f4fb848412","executionInfo":{"status":"ok","timestamp":1590505647602,"user_tz":180,"elapsed":862517,"user":{"displayName":"Dimitre Oliveira","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjWI4QgYDUyC8ZcW5KHpuBwcY-MZWVqbPWcZSzxIg=s64","userId":"06256612867315483887"}},"colab":{"base_uri":"https://localhost:8080/","height":1000}},"source":["#@title\n","print('\\n sentiment == neutral')\n","display(k_fold_best[k_fold_best['sentiment'] == 'neutral'][['text', 'selected_text', \n","                                                            'jaccard_mean', 'prediction_fold_1', \n","                                                            'prediction_fold_2', 'prediction_fold_3', \n","                                                            'prediction_fold_4', 'prediction_fold_5']].sort_values(by=['jaccard_mean']).head(10))\n","\n","print('\\n sentiment == positive')\n","display(k_fold_best[k_fold_best['sentiment'] == 'positive'][['text', 'selected_text', \n","                                                            'jaccard_mean', 'prediction_fold_1', \n","                                                            'prediction_fold_2', 'prediction_fold_3', \n","                                                            'prediction_fold_4', 'prediction_fold_5']].sort_values(by=['jaccard_mean']).head(10))\n","\n","print('\\n sentiment == negative')\n","display(k_fold_best[k_fold_best['sentiment'] == 'negative'][['text', 'selected_text', \n","                                                            'jaccard_mean', 'prediction_fold_1', \n","                                                            'prediction_fold_2', 'prediction_fold_3', \n","                                                            'prediction_fold_4', 'prediction_fold_5']].sort_values(by=['jaccard_mean']).head(10))"],"execution_count":16,"outputs":[{"output_type":"stream","text":["\n"," sentiment == neutral\n"],"name":"stdout"},{"output_type":"display_data","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>text</th>\n","      <th>selected_text</th>\n","      <th>jaccard_mean</th>\n","      <th>prediction_fold_1</th>\n","      <th>prediction_fold_2</th>\n","      <th>prediction_fold_3</th>\n","      <th>prediction_fold_4</th>\n","      <th>prediction_fold_5</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>12113</th>\n","      <td>ikr!!!</td>\n","      <td>ikr!!!</td>\n","      <td>0.000000</td>\n","      <td>kr!!!</td>\n","      <td>kr!!!</td>\n","      <td>kr!!!</td>\n","      <td>kr!!!</td>\n","      <td>kr!!!</td>\n","    </tr>\n","    <tr>\n","      <th>12308</th>\n","      <td>is it bad that i`m sitting here watching a #pens replay and getting excited? i think it`s the coffee, but... who knows.</td>\n","      <td>bad</td>\n","      <td>0.045455</td>\n","      <td>is it bad that i`m sitting here watching a #pens replay and getting excited? i think it`s the coffee, but... who knows.</td>\n","      <td>is it bad that i`m sitting here watching a #pens replay and getting excited? i think it`s the coffee, but... who knows.</td>\n","      <td>is it bad that i`m sitting here watching a #pens replay and getting excited? i think it`s the coffee, but... who knows.</td>\n","      <td>is it bad that i`m sitting here watching a #pens replay and getting excited? i think it`s the coffee, but... who knows.</td>\n","      <td>is it bad that i`m sitting here watching a #pens replay and getting excited? i think it`s the coffee, but... who knows.</td>\n","    </tr>\n","    <tr>\n","      <th>21984</th>\n","      <td>first up, make up for lost time with jelly. jalan jalan just the 2 of us  and the rollerblading with my pumpkin. happeh</td>\n","      <td>happeh</td>\n","      <td>0.050000</td>\n","      <td>first up, make up for lost time with jelly. jalan jalan just the 2 of us  and the rollerblading with my pumpkin. happeh</td>\n","      <td>first up, make up for lost time with jelly. jalan jalan just the 2 of us  and the rollerblading with my pumpkin. happeh</td>\n","      <td>first up, make up for lost time with jelly. jalan jalan just the 2 of us  and the rollerblading with my pumpkin. happeh</td>\n","      <td>first up, make up for lost time with jelly. jalan jalan just the 2 of us  and the rollerblading with my pumpkin. happeh</td>\n","      <td>first up, make up for lost time with jelly. jalan jalan just the 2 of us  and the rollerblading with my pumpkin. happeh</td>\n","    </tr>\n","    <tr>\n","      <th>4046</th>\n","      <td>morning john, yes i do, however i have a diary clash and sadly can`t attend!</td>\n","      <td>sadly</td>\n","      <td>0.071429</td>\n","      <td>morning john, yes i do, however i have a diary clash and sadly can`t attend!</td>\n","      <td>morning john, yes i do, however i have a diary clash and sadly can`t attend!</td>\n","      <td>morning john, yes i do, however i have a diary clash and sadly can`t attend!</td>\n","      <td>morning john, yes i do, however i have a diary clash and sadly can`t attend!</td>\n","      <td>morning john, yes i do, however i have a diary clash and sadly can`t attend!</td>\n","    </tr>\n","    <tr>\n","      <th>22334</th>\n","      <td>i am the queen of losing things. important things like keycards and bus passes.</td>\n","      <td>losing</td>\n","      <td>0.071429</td>\n","      <td>i am the queen of losing things. important things like keycards and bus passes.</td>\n","      <td>i am the queen of losing things. important things like keycards and bus passes.</td>\n","      <td>i am the queen of losing things. important things like keycards and bus passes.</td>\n","      <td>i am the queen of losing things. important things like keycards and bus passes.</td>\n","      <td>i am the queen of losing things. important things like keycards and bus passes.</td>\n","    </tr>\n","    <tr>\n","      <th>4945</th>\n","      <td>sick  right now very thankful for my chicken soup and my bed!</td>\n","      <td>sick</td>\n","      <td>0.090909</td>\n","      <td>sick  right now very thankful for my chicken soup and my bed!</td>\n","      <td>sick  right now very thankful for my chicken soup and my bed!</td>\n","      <td>sick  right now very thankful for my chicken soup and my bed!</td>\n","      <td>sick  right now very thankful for my chicken soup and my bed!</td>\n","      <td>sick  right now very thankful for my chicken soup and my bed!</td>\n","    </tr>\n","    <tr>\n","      <th>9713</th>\n","      <td>beer, garden, ipod, friday night, shame i`ve got to work tomorrow</td>\n","      <td>shame</td>\n","      <td>0.090909</td>\n","      <td>beer, garden, ipod, friday night, shame i`ve got to work tomorrow</td>\n","      <td>beer, garden, ipod, friday night, shame i`ve got to work tomorrow</td>\n","      <td>beer, garden, ipod, friday night, shame i`ve got to work tomorrow</td>\n","      <td>beer, garden, ipod, friday night, shame i`ve got to work tomorrow</td>\n","      <td>beer, garden, ipod, friday night, shame i`ve got to work tomorrow</td>\n","    </tr>\n","    <tr>\n","      <th>6852</th>\n","      <td>hmm, anyone else have their iphone`s earphones` grey rubber disintegrating?</td>\n","      <td>disintegrating?</td>\n","      <td>0.100000</td>\n","      <td>hmm, anyone else have their iphone`s earphones` grey rubber disintegrating?</td>\n","      <td>hmm, anyone else have their iphone`s earphones` grey rubber disintegrating?</td>\n","      <td>hmm, anyone else have their iphone`s earphones` grey rubber disintegrating?</td>\n","      <td>hmm, anyone else have their iphone`s earphones` grey rubber disintegrating?</td>\n","      <td>hmm, anyone else have their iphone`s earphones` grey rubber disintegrating?</td>\n","    </tr>\n","    <tr>\n","      <th>25771</th>\n","      <td>lol...i am greedy. i`m craving coldstone again.</td>\n","      <td>m greedy.</td>\n","      <td>0.125000</td>\n","      <td>lol...i am greedy. i`m craving coldstone again.</td>\n","      <td>lol...i am greedy. i`m craving coldstone again.</td>\n","      <td>lol...i am greedy. i`m craving coldstone again.</td>\n","      <td>lol...i am greedy. i`m craving coldstone again.</td>\n","      <td>lol...i am greedy. i`m craving coldstone again.</td>\n","    </tr>\n","    <tr>\n","      <th>21347</th>\n","      <td>yeah, i was always changing my hair color in high school.  i`ve pretty much worn everything lol. some good, some baa...</td>\n","      <td>. some good, some baaaaaaaad</td>\n","      <td>0.142857</td>\n","      <td>yeah, i was always changing my hair color in high school.  i`ve pretty much worn everything lol. some good, some baa...</td>\n","      <td>yeah, i was always changing my hair color in high school.  i`ve pretty much worn everything lol. some good, some baa...</td>\n","      <td>yeah, i was always changing my hair color in high school.  i`ve pretty much worn everything lol. some good, some baa...</td>\n","      <td>yeah, i was always changing my hair color in high school.  i`ve pretty much worn everything lol. some good, some baa...</td>\n","      <td>yeah, i was always changing my hair color in high school.  i`ve pretty much worn everything lol. some good, some baa...</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                                                                                                                          text  ...                                                                                                        prediction_fold_5\n","12113                                                                                                                   ikr!!!  ...                                                                                                                    kr!!!\n","12308  is it bad that i`m sitting here watching a #pens replay and getting excited? i think it`s the coffee, but... who knows.  ...  is it bad that i`m sitting here watching a #pens replay and getting excited? i think it`s the coffee, but... who knows.\n","21984  first up, make up for lost time with jelly. jalan jalan just the 2 of us  and the rollerblading with my pumpkin. happeh  ...  first up, make up for lost time with jelly. jalan jalan just the 2 of us  and the rollerblading with my pumpkin. happeh\n","4046                                              morning john, yes i do, however i have a diary clash and sadly can`t attend!  ...                                             morning john, yes i do, however i have a diary clash and sadly can`t attend!\n","22334                                          i am the queen of losing things. important things like keycards and bus passes.  ...                                          i am the queen of losing things. important things like keycards and bus passes.\n","4945                                                             sick  right now very thankful for my chicken soup and my bed!  ...                                                            sick  right now very thankful for my chicken soup and my bed!\n","9713                                                         beer, garden, ipod, friday night, shame i`ve got to work tomorrow  ...                                                        beer, garden, ipod, friday night, shame i`ve got to work tomorrow\n","6852                                               hmm, anyone else have their iphone`s earphones` grey rubber disintegrating?  ...                                              hmm, anyone else have their iphone`s earphones` grey rubber disintegrating?\n","25771                                                                          lol...i am greedy. i`m craving coldstone again.  ...                                                                          lol...i am greedy. i`m craving coldstone again.\n","21347  yeah, i was always changing my hair color in high school.  i`ve pretty much worn everything lol. some good, some baa...  ...  yeah, i was always changing my hair color in high school.  i`ve pretty much worn everything lol. some good, some baa...\n","\n","[10 rows x 8 columns]"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n"," sentiment == positive\n"],"name":"stdout"},{"output_type":"display_data","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>text</th>\n","      <th>selected_text</th>\n","      <th>jaccard_mean</th>\n","      <th>prediction_fold_1</th>\n","      <th>prediction_fold_2</th>\n","      <th>prediction_fold_3</th>\n","      <th>prediction_fold_4</th>\n","      <th>prediction_fold_5</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>23289</th>\n","      <td>happy star wars day. may the 4th be with you!  nice that we get a holiday to celebrate  #fb</td>\n","      <td>nice</td>\n","      <td>0.0</td>\n","      <td>happy</td>\n","      <td>happy</td>\n","      <td>happy</td>\n","      <td>happy</td>\n","      <td>happy</td>\n","    </tr>\n","    <tr>\n","      <th>11785</th>\n","      <td>today is check in day for week 12 of the artist`s way! hurray time to celebrate another good completed journey.</td>\n","      <td>time to celebrate an</td>\n","      <td>0.0</td>\n","      <td>good</td>\n","      <td>good completed journey.</td>\n","      <td>good completed journey.</td>\n","      <td>good</td>\n","      <td>hurray time to celebrate</td>\n","    </tr>\n","    <tr>\n","      <th>24065</th>\n","      <td>want: trip to boston next month. need: addit`l motivation to save the $ to do so.  beloved daughter wants to go with...</td>\n","      <td>want:</td>\n","      <td>0.0</td>\n","      <td>beloved</td>\n","      <td>motivation</td>\n","      <td>beloved</td>\n","      <td></td>\n","      <td>motivation</td>\n","    </tr>\n","    <tr>\n","      <th>5675</th>\n","      <td>thanks. feel so happy 2 make ur day a great one. enjoy it 2 the fullest n have fun always</td>\n","      <td>enjoy</td>\n","      <td>0.0</td>\n","      <td>thanks. feel so happy</td>\n","      <td>thanks. feel so happy</td>\n","      <td>thanks. feel so happy</td>\n","      <td>thanks. feel so happy</td>\n","      <td>thanks. feel so happy</td>\n","    </tr>\n","    <tr>\n","      <th>5627</th>\n","      <td>hi  thanks for the follow  good luck with your friend? ha</td>\n","      <td>good luck</td>\n","      <td>0.0</td>\n","      <td>hi  thanks</td>\n","      <td>hi  thanks</td>\n","      <td>hi  thanks</td>\n","      <td>hi  thanks</td>\n","      <td>thanks</td>\n","    </tr>\n","    <tr>\n","      <th>23830</th>\n","      <td>_21thanks, i`ll keep working on her    lol good idea!</td>\n","      <td>_21thanks,</td>\n","      <td>0.0</td>\n","      <td></td>\n","      <td></td>\n","      <td>hanks,</td>\n","      <td></td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>23800</th>\n","      <td>ooo enjoy  and thanks for looking out for ours</td>\n","      <td>d thanks</td>\n","      <td>0.0</td>\n","      <td>enjoy</td>\n","      <td>ooo enjoy</td>\n","      <td>ooo enjoy</td>\n","      <td>enjoy</td>\n","      <td>enjoy  and thanks</td>\n","    </tr>\n","    <tr>\n","      <th>5613</th>\n","      <td>so glad, i hope yall make it back down near new orleans</td>\n","      <td>hope</td>\n","      <td>0.0</td>\n","      <td>so glad,</td>\n","      <td>glad,</td>\n","      <td>so glad,</td>\n","      <td>so glad,</td>\n","      <td>so glad,</td>\n","    </tr>\n","    <tr>\n","      <th>12388</th>\n","      <td>i am so grateful i am your daughter!  happy mother`s day, okasan.  thank you for everything... always!</td>\n","      <td>thank you for everything... always!</td>\n","      <td>0.0</td>\n","      <td>i am so grateful</td>\n","      <td>i am so grateful</td>\n","      <td>i am so grateful</td>\n","      <td>i am so grateful</td>\n","      <td>i am so grateful</td>\n","    </tr>\n","    <tr>\n","      <th>5447</th>\n","      <td>have fun, hon! ooh, look what a poet i am.</td>\n","      <td>look what a poet i am.</td>\n","      <td>0.0</td>\n","      <td>have fun,</td>\n","      <td>have fun,</td>\n","      <td>have fun,</td>\n","      <td>have fun,</td>\n","      <td>have fun,</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                                                                                                                          text  ...         prediction_fold_5\n","23289                              happy star wars day. may the 4th be with you!  nice that we get a holiday to celebrate  #fb  ...                     happy\n","11785          today is check in day for week 12 of the artist`s way! hurray time to celebrate another good completed journey.  ...  hurray time to celebrate\n","24065  want: trip to boston next month. need: addit`l motivation to save the $ to do so.  beloved daughter wants to go with...  ...                motivation\n","5675                                 thanks. feel so happy 2 make ur day a great one. enjoy it 2 the fullest n have fun always  ...     thanks. feel so happy\n","5627                                                                 hi  thanks for the follow  good luck with your friend? ha  ...                    thanks\n","23830                                                                    _21thanks, i`ll keep working on her    lol good idea!  ...                          \n","23800                                                                           ooo enjoy  and thanks for looking out for ours  ...         enjoy  and thanks\n","5613                                                                   so glad, i hope yall make it back down near new orleans  ...                  so glad,\n","12388                   i am so grateful i am your daughter!  happy mother`s day, okasan.  thank you for everything... always!  ...          i am so grateful\n","5447                                                                                have fun, hon! ooh, look what a poet i am.  ...                 have fun,\n","\n","[10 rows x 8 columns]"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n"," sentiment == negative\n"],"name":"stdout"},{"output_type":"display_data","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>text</th>\n","      <th>selected_text</th>\n","      <th>jaccard_mean</th>\n","      <th>prediction_fold_1</th>\n","      <th>prediction_fold_2</th>\n","      <th>prediction_fold_3</th>\n","      <th>prediction_fold_4</th>\n","      <th>prediction_fold_5</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>14307</th>\n","      <td>****....game starts in 30 min!!</td>\n","      <td>****....game starts in 30 min!!</td>\n","      <td>0.0</td>\n","      <td>****....</td>\n","      <td>****....</td>\n","      <td>****....</td>\n","      <td>****....</td>\n","      <td>****....</td>\n","    </tr>\n","    <tr>\n","      <th>5585</th>\n","      <td>im grounded tonight  i hate stupid silent mode</td>\n","      <td>stupid</td>\n","      <td>0.0</td>\n","      <td>i hate</td>\n","      <td>i hate</td>\n","      <td>i hate</td>\n","      <td>i hate</td>\n","      <td>i hate</td>\n","    </tr>\n","    <tr>\n","      <th>25056</th>\n","      <td>plus, it is going to clash with ugly betty when channel 4 shows season 3 next month as well. grrr  !</td>\n","      <td>is going to cla</td>\n","      <td>0.0</td>\n","      <td>clash</td>\n","      <td>clash</td>\n","      <td>ugly</td>\n","      <td>clash</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>11275</th>\n","      <td>they r the most random things that my mind can churn..as the chennai heat gets to me i can assure u these will b mor...</td>\n","      <td>i heat</td>\n","      <td>0.0</td>\n","      <td>they r the most random things that my mind can churn..</td>\n","      <td>they r the most random things that my mind can churn..</td>\n","      <td>they r the most random things that my mind can churn..</td>\n","      <td>they r the most random things that my mind can churn..</td>\n","      <td>they r the most random things that my mind can churn..</td>\n","    </tr>\n","    <tr>\n","      <th>14317</th>\n","      <td>****...the right side of my earphones just stopped working all of a sudden. now i need to buy new ones...</td>\n","      <td>****...the right side of my earphones just stopped working all of a sudden. now i need to buy new ones...</td>\n","      <td>0.0</td>\n","      <td>****...</td>\n","      <td>****...</td>\n","      <td>****...</td>\n","      <td>****...</td>\n","      <td>****...the right side of my earphones just stopped working all of a sudden.</td>\n","    </tr>\n","    <tr>\n","      <th>4006</th>\n","      <td>**** being broke on the day guitar hero metallica comes out!  boooooooo</td>\n","      <td>boooooooo</td>\n","      <td>0.0</td>\n","      <td>****</td>\n","      <td>****</td>\n","      <td>****</td>\n","      <td>****</td>\n","      <td>**** being broke</td>\n","    </tr>\n","    <tr>\n","      <th>16446</th>\n","      <td>i think i hate you.  i didnt really want to but you make it hard for me to like you what with the cake and concert o...</td>\n","      <td>t you make it hard for me</td>\n","      <td>0.0</td>\n","      <td>i think i hate</td>\n","      <td>i think i hate you.</td>\n","      <td>i think i hate you.</td>\n","      <td>i think i hate</td>\n","      <td>i think i hate you.</td>\n","    </tr>\n","    <tr>\n","      <th>26629</th>\n","      <td>unfortunately, i will miss girl bros. radio tonight. will be in the midst of an all night writing session</td>\n","      <td>miss</td>\n","      <td>0.0</td>\n","      <td>unfortunately,</td>\n","      <td>unfortunately,</td>\n","      <td>unfortunately,</td>\n","      <td>unfortunately,</td>\n","      <td>unfortunately,</td>\n","    </tr>\n","    <tr>\n","      <th>23254</th>\n","      <td>****. i have lost the game more times today than any other day in history.  #lostthegame (blame  )</td>\n","      <td>lost</td>\n","      <td>0.0</td>\n","      <td>****.</td>\n","      <td>****.</td>\n","      <td>****.</td>\n","      <td>****.</td>\n","      <td>****.</td>\n","    </tr>\n","    <tr>\n","      <th>11773</th>\n","      <td>i really despair over the whole copyright situation http://bit.ly/yly0i ~ being visually impaired means you don`t de...</td>\n","      <td>don`t deserve to read</td>\n","      <td>0.0</td>\n","      <td>despair</td>\n","      <td>despair</td>\n","      <td>i really despair</td>\n","      <td>despair</td>\n","      <td>despair</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                                                                                                                          text  ...                                                            prediction_fold_5\n","14307                                                                                          ****....game starts in 30 min!!  ...                                                                     ****....\n","5585                                                                            im grounded tonight  i hate stupid silent mode  ...                                                                       i hate\n","25056                     plus, it is going to clash with ugly betty when channel 4 shows season 3 next month as well. grrr  !  ...                                                                             \n","11275  they r the most random things that my mind can churn..as the chennai heat gets to me i can assure u these will b mor...  ...                       they r the most random things that my mind can churn..\n","14317                ****...the right side of my earphones just stopped working all of a sudden. now i need to buy new ones...  ...  ****...the right side of my earphones just stopped working all of a sudden.\n","4006                                                   **** being broke on the day guitar hero metallica comes out!  boooooooo  ...                                                             **** being broke\n","16446  i think i hate you.  i didnt really want to but you make it hard for me to like you what with the cake and concert o...  ...                                                          i think i hate you.\n","26629                unfortunately, i will miss girl bros. radio tonight. will be in the midst of an all night writing session  ...                                                               unfortunately,\n","23254                       ****. i have lost the game more times today than any other day in history.  #lostthegame (blame  )  ...                                                                        ****.\n","11773  i really despair over the whole copyright situation http://bit.ly/yly0i ~ being visually impaired means you don`t de...  ...                                                                      despair\n","\n","[10 rows x 8 columns]"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"1MdFuTguTvhL","colab_type":"text"},"source":["# text_tokenCnt"]},{"cell_type":"code","metadata":{"id":"_xQsOn3cTFCg","colab_type":"code","cellView":"form","outputId":"aa6faa4a-5797-4f13-be6e-175f55c277da","executionInfo":{"status":"ok","timestamp":1590505647603,"user_tz":180,"elapsed":862502,"user":{"displayName":"Dimitre Oliveira","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjWI4QgYDUyC8ZcW5KHpuBwcY-MZWVqbPWcZSzxIg=s64","userId":"06256612867315483887"}},"colab":{"base_uri":"https://localhost:8080/","height":782}},"source":["#@title\n","print('\\n text_tokenCnt <= 3')\n","display(k_fold_best[k_fold_best['text_tokenCnt'] <= 3][['text', 'selected_text', 'sentiment', \n","                                                        'jaccard_mean', 'prediction_fold_1', \n","                                                        'prediction_fold_2', 'prediction_fold_3', \n","                                                        'prediction_fold_4', 'prediction_fold_5']].sort_values(by=['jaccard_mean']).head(5))\n","\n","print('\\n text_tokenCnt >= 50')\n","display(k_fold_best[k_fold_best['text_tokenCnt'] >= 50][['text', 'selected_text',  'sentiment', \n","                                                        'jaccard_mean', 'prediction_fold_1', \n","                                                        'prediction_fold_2', 'prediction_fold_3', \n","                                                        'prediction_fold_4', 'prediction_fold_5']].sort_values(by=['jaccard_mean']).head(5))"],"execution_count":17,"outputs":[{"output_type":"display_data","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>text</th>\n","      <th>selected_text</th>\n","      <th>sentiment</th>\n","      <th>jaccard_mean</th>\n","      <th>prediction_fold_1</th>\n","      <th>prediction_fold_2</th>\n","      <th>prediction_fold_3</th>\n","      <th>prediction_fold_4</th>\n","      <th>prediction_fold_5</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>14652</th>\n","      <td>chilling at home</td>\n","      <td>chilling at home</td>\n","      <td>positive</td>\n","      <td>0.333333</td>\n","      <td>chilling</td>\n","      <td>chilling</td>\n","      <td>chilling</td>\n","      <td>chilling</td>\n","      <td>chilling</td>\n","    </tr>\n","    <tr>\n","      <th>14660</th>\n","      <td>happy mothers day</td>\n","      <td>happy mothers day</td>\n","      <td>positive</td>\n","      <td>0.333333</td>\n","      <td>happy</td>\n","      <td>happy</td>\n","      <td>happy</td>\n","      <td>happy</td>\n","      <td>happy</td>\n","    </tr>\n","    <tr>\n","      <th>11321</th>\n","      <td>i know...</td>\n","      <td>i know.</td>\n","      <td>neutral</td>\n","      <td>0.333333</td>\n","      <td>i know...</td>\n","      <td>i know...</td>\n","      <td>i know...</td>\n","      <td>i know...</td>\n","      <td>i know...</td>\n","    </tr>\n","    <tr>\n","      <th>26041</th>\n","      <td>annoyed and overwhelmed</td>\n","      <td>annoyed</td>\n","      <td>negative</td>\n","      <td>0.333333</td>\n","      <td>annoyed and overwhelmed</td>\n","      <td>annoyed and overwhelmed</td>\n","      <td>annoyed and overwhelmed</td>\n","      <td>annoyed and overwhelmed</td>\n","      <td>annoyed and overwhelmed</td>\n","    </tr>\n","    <tr>\n","      <th>23457</th>\n","      <td>happy moms day</td>\n","      <td>happy moms day</td>\n","      <td>positive</td>\n","      <td>0.333333</td>\n","      <td>happy</td>\n","      <td>happy</td>\n","      <td>happy</td>\n","      <td>happy</td>\n","      <td>happy</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                          text  ...        prediction_fold_5\n","14652         chilling at home  ...                 chilling\n","14660        happy mothers day  ...                    happy\n","11321                i know...  ...                i know...\n","26041  annoyed and overwhelmed  ...  annoyed and overwhelmed\n","23457           happy moms day  ...                    happy\n","\n","[5 rows x 9 columns]"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>text</th>\n","      <th>selected_text</th>\n","      <th>sentiment</th>\n","      <th>jaccard_mean</th>\n","      <th>prediction_fold_1</th>\n","      <th>prediction_fold_2</th>\n","      <th>prediction_fold_3</th>\n","      <th>prediction_fold_4</th>\n","      <th>prediction_fold_5</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2520</th>\n","      <td>today sucks - kisskass19: ï¿½you and katey broke up?! yah kate broke up with me  itï¿½s been awful nd vodkas... http...</td>\n","      <td>sucks</td>\n","      <td>negative</td>\n","      <td>0.500000</td>\n","      <td>today sucks</td>\n","      <td>today sucks</td>\n","      <td>today sucks</td>\n","      <td>today sucks</td>\n","      <td>today sucks</td>\n","    </tr>\n","    <tr>\n","      <th>3661</th>\n","      <td>prayin for dad  in wellington, fl http://loopt.us/f8_jqg.t (via ).  i too live in welly. may i pray f.. http://bit.l...</td>\n","      <td>prayin</td>\n","      <td>positive</td>\n","      <td>0.626667</td>\n","      <td>prayin</td>\n","      <td>prayin</td>\n","      <td>prayin</td>\n","      <td>prayin for dad  in wellington, fl http://loopt.us/f8_jqg.t (via ).  i too live in welly. may i pray</td>\n","      <td>may i pray</td>\n","    </tr>\n","    <tr>\n","      <th>9381</th>\n","      <td>http://www.myspace.com/dica_grl just got a crush on this song! disco`s out! murder`s in! ruleaz?, zic!  www.myspace....</td>\n","      <td>just got a crush on this song! disco`s out! murder`s in! ruleaz?, zic!</td>\n","      <td>neutral</td>\n","      <td>0.879048</td>\n","      <td>just got a crush on this song! disco`s out! murder`s in! ruleaz?, zic!  www.myspace.com/discosoutmurdersin</td>\n","      <td>http://www.myspace.com/dica_grl just got a crush on this song! disco`s out! murder`s in! ruleaz?, zic!  www.myspace....</td>\n","      <td>http://www.myspace.com/dica_grl just got a crush on this song! disco`s out! murder`s in! ruleaz?, zic!  www.myspace....</td>\n","      <td>http://www.myspace.com/dica_grl just got a crush on this song! disco`s out! murder`s in! ruleaz?, zic!  www.myspace....</td>\n","      <td>http://www.myspace.com/dica_grl just got a crush on this song! disco`s out! murder`s in! ruleaz?, zic!  www.myspace....</td>\n","    </tr>\n","    <tr>\n","      <th>106</th>\n","      <td>if u have a friendster add me!!!!!!!!!        my email adress      add me  loco_crime_1st.com        add me leave so...</td>\n","      <td>if u have a friendster add me!!!!!!!!!        my email adress      add me  loco_crime_1st.com        add me</td>\n","      <td>neutral</td>\n","      <td>0.940659</td>\n","      <td>if u have a friendster add me!!!!!!!!!        my email adress      add me  loco_crime_1st.com        add</td>\n","      <td>if u have a friendster add me!!!!!!!!!        my email adress      add me  loco_crime_1st.com        add me leave some</td>\n","      <td>if u have a friendster add me!!!!!!!!!        my email adress      add me  loco_crime_1st.com        add</td>\n","      <td>if u have a friendster add me!!!!!!!!!        my email adress      add me  loco_crime_1st.com        add me leave</td>\n","      <td>if u have a friendster add me!!!!!!!!!        my email adress      add me  loco_crime_1st.com        add me leave so...</td>\n","    </tr>\n","    <tr>\n","      <th>6912</th>\n","      <td>coool. - weekend wasnï¿½t that great, eeeh. whattttever.  friday was better than i expected it to be, so i... http:/...</td>\n","      <td>coool. - weekend wasnï¿½t that great, eeeh. whattttever.  friday was better than i expected it to be, so i...</td>\n","      <td>neutral</td>\n","      <td>0.948947</td>\n","      <td>coool. - weekend wasnï¿½t that great, eeeh. whattttever.  friday was better than i expected it to be, so i</td>\n","      <td>coool. - weekend wasnï¿½t that great, eeeh. whattttever.  friday was better than i expected it to be, so i... http:/...</td>\n","      <td>coool. - weekend wasnï¿½t that great, eeeh. whattttever.  friday was better than i expected it to be, so i</td>\n","      <td>coool. - weekend wasnï¿½t that great, eeeh. whattttever.  friday was better than i expected it to be, so i... http:/...</td>\n","      <td>coool. - weekend wasnï¿½t that great, eeeh. whattttever.  friday was better than i expected it to be, so i... http:/...</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                                                                                                                         text  ...                                                                                                        prediction_fold_5\n","2520  today sucks - kisskass19: ï¿½you and katey broke up?! yah kate broke up with me  itï¿½s been awful nd vodkas... http...  ...                                                                                                              today sucks\n","3661  prayin for dad  in wellington, fl http://loopt.us/f8_jqg.t (via ).  i too live in welly. may i pray f.. http://bit.l...  ...                                                                                                               may i pray\n","9381  http://www.myspace.com/dica_grl just got a crush on this song! disco`s out! murder`s in! ruleaz?, zic!  www.myspace....  ...  http://www.myspace.com/dica_grl just got a crush on this song! disco`s out! murder`s in! ruleaz?, zic!  www.myspace....\n","106   if u have a friendster add me!!!!!!!!!        my email adress      add me  loco_crime_1st.com        add me leave so...  ...  if u have a friendster add me!!!!!!!!!        my email adress      add me  loco_crime_1st.com        add me leave so...\n","6912  coool. - weekend wasnï¿½t that great, eeeh. whattttever.  friday was better than i expected it to be, so i... http:/...  ...  coool. - weekend wasnï¿½t that great, eeeh. whattttever.  friday was better than i expected it to be, so i... http:/...\n","\n","[5 rows x 9 columns]"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"QZqHXjNsTr7B","colab_type":"text"},"source":["# selected_text_tokenCnt"]},{"cell_type":"code","metadata":{"id":"f9RUBZItTawL","colab_type":"code","cellView":"form","outputId":"0a8a8ad0-8302-4041-b54f-5bc964989e57","executionInfo":{"status":"ok","timestamp":1590505647605,"user_tz":180,"elapsed":862492,"user":{"displayName":"Dimitre Oliveira","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjWI4QgYDUyC8ZcW5KHpuBwcY-MZWVqbPWcZSzxIg=s64","userId":"06256612867315483887"}},"colab":{"base_uri":"https://localhost:8080/","height":693}},"source":["#@title\n","print('\\n selected_text_tokenCnt <= 3')\n","display(k_fold_best[k_fold_best['selected_text_tokenCnt'] <= 3][['text', 'selected_text',  'sentiment', \n","                                                        'jaccard_mean', 'prediction_fold_1', \n","                                                        'prediction_fold_2', 'prediction_fold_3', \n","                                                        'prediction_fold_4', 'prediction_fold_5']].sort_values(by=['jaccard_mean']).head(5))\n","print('\\n selected_text_tokenCnt >= 50')\n","display(k_fold_best[k_fold_best['selected_text_tokenCnt'] >= 50][['text', 'selected_text',  'sentiment', \n","                                                                  'jaccard_mean', 'prediction_fold_1', \n","                                                                  'prediction_fold_2', 'prediction_fold_3', \n","                                                                  'prediction_fold_4', 'prediction_fold_5']].sort_values(by=['jaccard_mean']).head(5))"],"execution_count":18,"outputs":[{"output_type":"stream","text":["\n"," selected_text_tokenCnt <= 3\n"],"name":"stdout"},{"output_type":"display_data","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>text</th>\n","      <th>selected_text</th>\n","      <th>sentiment</th>\n","      <th>jaccard_mean</th>\n","      <th>prediction_fold_1</th>\n","      <th>prediction_fold_2</th>\n","      <th>prediction_fold_3</th>\n","      <th>prediction_fold_4</th>\n","      <th>prediction_fold_5</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>6692</th>\n","      <td>ahh i`m so confused  what can i do? i don`t wanna run away but can i really handle a real relationship? what is love...</td>\n","      <td>false hope!</td>\n","      <td>negative</td>\n","      <td>0.0</td>\n","      <td>confused</td>\n","      <td>confused</td>\n","      <td>ahh i`m so confused</td>\n","      <td>confused</td>\n","      <td>confused</td>\n","    </tr>\n","    <tr>\n","      <th>18966</th>\n","      <td>so i have like no more friends it`s kinda sad</td>\n","      <td>no more friends</td>\n","      <td>negative</td>\n","      <td>0.0</td>\n","      <td>sad</td>\n","      <td>sad</td>\n","      <td>sad</td>\n","      <td>sad</td>\n","      <td>sad</td>\n","    </tr>\n","    <tr>\n","      <th>4953</th>\n","      <td>ok dear tweeps, goodnight! i need 2 get up early 2 say happy mothers day 2 wife n mom</td>\n","      <td>goodnight!</td>\n","      <td>positive</td>\n","      <td>0.0</td>\n","      <td>happy</td>\n","      <td>happy</td>\n","      <td>happy</td>\n","      <td>happy</td>\n","      <td>happy</td>\n","    </tr>\n","    <tr>\n","      <th>19365</th>\n","      <td>this is the best e-commerce site, i hope you`ve watched the big bang theory. http://www.pennyblossoms.com/ please hi...</td>\n","      <td>hope</td>\n","      <td>positive</td>\n","      <td>0.0</td>\n","      <td>best</td>\n","      <td>best</td>\n","      <td>best e-commerce site,</td>\n","      <td>best</td>\n","      <td>best</td>\n","    </tr>\n","    <tr>\n","      <th>19499</th>\n","      <td>_l thanks,i think your the first girl to say that...besides my mom</td>\n","      <td>thanks,i</td>\n","      <td>positive</td>\n","      <td>0.0</td>\n","      <td>thanks,</td>\n","      <td>thanks,</td>\n","      <td>thanks,</td>\n","      <td>thanks,</td>\n","      <td>thanks,</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                                                                                                                          text  ... prediction_fold_5\n","6692   ahh i`m so confused  what can i do? i don`t wanna run away but can i really handle a real relationship? what is love...  ...          confused\n","18966                                                                            so i have like no more friends it`s kinda sad  ...               sad\n","4953                                     ok dear tweeps, goodnight! i need 2 get up early 2 say happy mothers day 2 wife n mom  ...             happy\n","19365  this is the best e-commerce site, i hope you`ve watched the big bang theory. http://www.pennyblossoms.com/ please hi...  ...              best\n","19499                                                       _l thanks,i think your the first girl to say that...besides my mom  ...           thanks,\n","\n","[5 rows x 9 columns]"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n"," selected_text_tokenCnt >= 50\n"],"name":"stdout"},{"output_type":"display_data","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>text</th>\n","      <th>selected_text</th>\n","      <th>sentiment</th>\n","      <th>jaccard_mean</th>\n","      <th>prediction_fold_1</th>\n","      <th>prediction_fold_2</th>\n","      <th>prediction_fold_3</th>\n","      <th>prediction_fold_4</th>\n","      <th>prediction_fold_5</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>26738</th>\n","      <td>just saw an advert for attics to eden on tv  out today and only ï¿½9.99 from hmv...so i`m not sure why i had to pay ...</td>\n","      <td>just saw an advert for attics to eden on tv  out today and only ï¿½9.99 from hmv...so i`m not sure why i had to pay ...</td>\n","      <td>neutral</td>\n","      <td>0.971429</td>\n","      <td>just saw an advert for attics to eden on tv  out today and only ï¿½9.99 from hmv...so i`m not sure why i had to pay ...</td>\n","      <td>just saw an advert for attics to eden on tv  out today and only ï¿½9.99 from hmv...so i`m not sure why i had to pay ...</td>\n","      <td>just saw an advert for attics to eden on tv  out today and only ï¿½9.99 from hmv...so i`m not sure why i had to pay ...</td>\n","      <td>just saw an advert for attics to eden on tv  out today and only ï¿½9.99 from hmv...so i`m not sure why i had to pay ...</td>\n","      <td>just saw an advert for attics to eden on tv  out today and only ï¿½9.99 from hmv...so i`m not sure why i had to pay ...</td>\n","    </tr>\n","    <tr>\n","      <th>1548</th>\n","      <td>link per my daughter  us.mobile.reuters.com/mobile/m/anyarticle/p.rdt?url=http://www.reuters.com/article/bigmoney/id...</td>\n","      <td>link per my daughter  us.mobile.reuters.com/mobile/m/anyarticle/p.rdt?url=http://www.reuters.com/article/bigmoney/id...</td>\n","      <td>neutral</td>\n","      <td>1.000000</td>\n","      <td>link per my daughter  us.mobile.reuters.com/mobile/m/anyarticle/p.rdt?url=http://www.reuters.com/article/bigmoney/id...</td>\n","      <td>link per my daughter  us.mobile.reuters.com/mobile/m/anyarticle/p.rdt?url=http://www.reuters.com/article/bigmoney/id...</td>\n","      <td>link per my daughter  us.mobile.reuters.com/mobile/m/anyarticle/p.rdt?url=http://www.reuters.com/article/bigmoney/id...</td>\n","      <td>link per my daughter  us.mobile.reuters.com/mobile/m/anyarticle/p.rdt?url=http://www.reuters.com/article/bigmoney/id...</td>\n","      <td>link per my daughter  us.mobile.reuters.com/mobile/m/anyarticle/p.rdt?url=http://www.reuters.com/article/bigmoney/id...</td>\n","    </tr>\n","    <tr>\n","      <th>19493</th>\n","      <td>() 1-pendulum = awesome! 2-goodbyes suck  3-shut up plz. 4-toy story 3!!  5-jb 3d movie 2moro! 6-i`m tired. 7-aaaand...</td>\n","      <td>() 1-pendulum = awesome! 2-goodbyes suck  3-shut up plz. 4-toy story 3!!  5-jb 3d movie 2moro! 6-i`m tired. 7-aaaand...</td>\n","      <td>neutral</td>\n","      <td>1.000000</td>\n","      <td>() 1-pendulum = awesome! 2-goodbyes suck  3-shut up plz. 4-toy story 3!!  5-jb 3d movie 2moro! 6-i`m tired. 7-aaaand...</td>\n","      <td>() 1-pendulum = awesome! 2-goodbyes suck  3-shut up plz. 4-toy story 3!!  5-jb 3d movie 2moro! 6-i`m tired. 7-aaaand...</td>\n","      <td>() 1-pendulum = awesome! 2-goodbyes suck  3-shut up plz. 4-toy story 3!!  5-jb 3d movie 2moro! 6-i`m tired. 7-aaaand...</td>\n","      <td>() 1-pendulum = awesome! 2-goodbyes suck  3-shut up plz. 4-toy story 3!!  5-jb 3d movie 2moro! 6-i`m tired. 7-aaaand...</td>\n","      <td>() 1-pendulum = awesome! 2-goodbyes suck  3-shut up plz. 4-toy story 3!!  5-jb 3d movie 2moro! 6-i`m tired. 7-aaaand...</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                                                                                                                          text  ...                                                                                                        prediction_fold_5\n","26738  just saw an advert for attics to eden on tv  out today and only ï¿½9.99 from hmv...so i`m not sure why i had to pay ...  ...  just saw an advert for attics to eden on tv  out today and only ï¿½9.99 from hmv...so i`m not sure why i had to pay ...\n","1548   link per my daughter  us.mobile.reuters.com/mobile/m/anyarticle/p.rdt?url=http://www.reuters.com/article/bigmoney/id...  ...  link per my daughter  us.mobile.reuters.com/mobile/m/anyarticle/p.rdt?url=http://www.reuters.com/article/bigmoney/id...\n","19493  () 1-pendulum = awesome! 2-goodbyes suck  3-shut up plz. 4-toy story 3!!  5-jb 3d movie 2moro! 6-i`m tired. 7-aaaand...  ...  () 1-pendulum = awesome! 2-goodbyes suck  3-shut up plz. 4-toy story 3!!  5-jb 3d movie 2moro! 6-i`m tired. 7-aaaand...\n","\n","[3 rows x 9 columns]"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"KxVQX4P5UTLP","colab_type":"text"},"source":["# Jaccard histogram"]},{"cell_type":"code","metadata":{"id":"Cg2fk31aUUyH","colab_type":"code","cellView":"form","outputId":"e853a8bf-9fce-4658-d1f6-457060e5cc92","executionInfo":{"status":"ok","timestamp":1590505648073,"user_tz":180,"elapsed":862945,"user":{"displayName":"Dimitre Oliveira","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjWI4QgYDUyC8ZcW5KHpuBwcY-MZWVqbPWcZSzxIg=s64","userId":"06256612867315483887"}},"colab":{"base_uri":"https://localhost:8080/","height":351}},"source":["#@title\n","fig, ax = plt.subplots(1, 1, figsize=(20, 5))\n","sns.distplot(k_fold_best['jaccard_mean'], ax=ax).set_title(f\"Overall [{len(k_fold_best)}]\")\n","sns.despine()\n","plt.show()"],"execution_count":19,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 1440x360 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"vrdkYGfi-K60","colab_type":"text"},"source":["## By sentiment"]},{"cell_type":"code","metadata":{"id":"C2z6O4ORUi6A","colab_type":"code","cellView":"form","outputId":"22e5f806-17e3-41a8-e2cb-a809b7051de6","executionInfo":{"status":"ok","timestamp":1590505648938,"user_tz":180,"elapsed":863796,"user":{"displayName":"Dimitre Oliveira","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjWI4QgYDUyC8ZcW5KHpuBwcY-MZWVqbPWcZSzxIg=s64","userId":"06256612867315483887"}},"colab":{"base_uri":"https://localhost:8080/","height":894}},"source":["#@title\n","fig, (ax1, ax2, ax3) = plt.subplots(3, 1, figsize=(20, 15), sharex=False)\n","sns.distplot(k_fold_best[k_fold_best['sentiment'] == 'neutral']['jaccard_mean'], ax=ax1).set_title(f\"Neutral [{len(k_fold_best[k_fold_best['sentiment'] == 'neutral'])}]\")\n","sns.distplot(k_fold_best[k_fold_best['sentiment'] == 'positive']['jaccard_mean'], ax=ax2).set_title(f\"Positive [{len(k_fold_best[k_fold_best['sentiment'] == 'positive'])}]\")\n","sns.distplot(k_fold_best[k_fold_best['sentiment'] == 'negative']['jaccard_mean'], ax=ax3).set_title(f\"Negative [{len(k_fold_best[k_fold_best['sentiment'] == 'negative'])}]\")\n","sns.despine()\n","plt.show()"],"execution_count":20,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 1440x1080 with 3 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"FR8x4hYY-NI0","colab_type":"text"},"source":["## By text token count"]},{"cell_type":"code","metadata":{"id":"XzLl3cYqVFFa","colab_type":"code","cellView":"form","outputId":"f5d22867-e98d-4dd5-f5b6-a334eb5e00ad","executionInfo":{"status":"ok","timestamp":1590505648941,"user_tz":180,"elapsed":863785,"user":{"displayName":"Dimitre Oliveira","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjWI4QgYDUyC8ZcW5KHpuBwcY-MZWVqbPWcZSzxIg=s64","userId":"06256612867315483887"}},"colab":{"base_uri":"https://localhost:8080/","height":622}},"source":["#@title\n","fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(20, 10), sharex=False)\n","sns.distplot(k_fold_best[k_fold_best['text_tokenCnt'] <= 3]['jaccard_mean'], ax=ax1).set_title(f\"text_tokenCnt <= 3 [{len(k_fold_best[k_fold_best['text_tokenCnt'] <= 3])}]\")\n","sns.distplot(k_fold_best[k_fold_best['text_tokenCnt'] >= 50]['jaccard_mean'], ax=ax2).set_title(f\"text_tokenCnt >= 50 [{len(k_fold_best[k_fold_best['text_tokenCnt'] >= 50])}]\")\n","sns.despine()\n","plt.show()"],"execution_count":21,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 1440x720 with 2 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"iwoue1xw-PQo","colab_type":"text"},"source":["## By selected_text token count"]},{"cell_type":"code","metadata":{"id":"9kJIizCKVE8v","colab_type":"code","cellView":"form","outputId":"71e85a8b-4e15-476f-ace4-146103f16df2","executionInfo":{"status":"ok","timestamp":1590505649510,"user_tz":180,"elapsed":864332,"user":{"displayName":"Dimitre Oliveira","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjWI4QgYDUyC8ZcW5KHpuBwcY-MZWVqbPWcZSzxIg=s64","userId":"06256612867315483887"}},"colab":{"base_uri":"https://localhost:8080/","height":622}},"source":["#@title\n","fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(20, 10), sharex=False)\n","sns.distplot(k_fold_best[k_fold_best['selected_text_tokenCnt'] <= 3]['jaccard_mean'], ax=ax1).set_title(f\"selected_text_tokenCnt <= 3 [{len(k_fold_best[k_fold_best['selected_text_tokenCnt'] <= 3])}]\")\n","sns.distplot(k_fold_best[k_fold_best['selected_text_tokenCnt'] >= 50]['jaccard_mean'], ax=ax2).set_title(f\"selected_text_tokenCnt >= 50 [{len(k_fold_best[k_fold_best['selected_text_tokenCnt'] >= 50])}]\")\n","sns.despine()\n","plt.show()"],"execution_count":22,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 1440x720 with 2 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]}]}