{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\nimport os\nprint(os.listdir(\"../input\"))\ndata=pd.read_csv('../input/train.csv')\ndata.shape\ndata.head\n","execution_count":5,"outputs":[{"output_type":"stream","text":"['embeddings', 'train.csv', 'sample_submission.csv', 'test.csv']\n","name":"stdout"},{"output_type":"execute_result","execution_count":5,"data":{"text/plain":"<bound method NDFrame.head of                           qid  ...   target\n0        00002165364db923c7e6  ...        0\n1        000032939017120e6e44  ...        0\n2        0000412ca6e4628ce2cf  ...        0\n3        000042bf85aa498cd78e  ...        0\n4        0000455dfa3e01eae3af  ...        0\n5        00004f9a462a357c33be  ...        0\n6        00005059a06ee19e11ad  ...        0\n7        0000559f875832745e2e  ...        0\n8        00005bd3426b2d0c8305  ...        0\n9        00006e6928c5df60eacb  ...        0\n10       000075f67dd595c3deb5  ...        0\n11       000076f3b42776c692de  ...        0\n12       000089792b3fc8026741  ...        0\n13       000092a90bcfbfe8cd88  ...        0\n14       000095680e41a9a6f6e3  ...        0\n15       0000a89942e3143e333a  ...        0\n16       0000b8e1279eaa0a7062  ...        0\n17       0000bc0f62500f55959f  ...        0\n18       0000ce6c31f14d3e09ec  ...        0\n19       0000d329332845b8a7fa  ...        0\n20       0000dd973dfd35508c16  ...        0\n21       0000e4d455f9c8877dc9  ...        0\n22       0000e91571b60c2fb487  ...        1\n23       000101ac65db6e4a1c13  ...        0\n24       00010632971fe5e3e0e2  ...        0\n25       00010a2e064c3e8f152a  ...        0\n26       00012011b6c7759461e8  ...        0\n27       00012fd5128d576260ab  ...        0\n28       0001303b1799a042b26b  ...        0\n29       00013a8152b5f37b780e  ...        0\n...                       ...  ...      ...\n1306092  fffeaee9356b09078753  ...        0\n1306093  fffeba722d9b371bd1b9  ...        1\n1306094  fffee269360dd0d3947a  ...        1\n1306095  fffee78cd374c14d15f8  ...        0\n1306096  fffef2de11d291406fdb  ...        0\n1306097  fffef6ecdfd410ddd5c0  ...        0\n1306098  ffff0e0bad740a698663  ...        0\n1306099  ffff0e4ea1bb6e16feec  ...        1\n1306100  ffff265faac66b6085da  ...        0\n1306101  ffff2adc1895bc0c32e1  ...        0\n1306102  ffff3778790af9baae76  ...        0\n1306103  ffff3f0a2449ffe4b9ff  ...        1\n1306104  ffff41393389d4206066  ...        0\n1306105  ffff42493fc203cd9532  ...        0\n1306106  ffff48dd47bee89fff79  ...        0\n1306107  ffff5fd051a032f32a39  ...        0\n1306108  ffff6d528040d3888b93  ...        0\n1306109  ffff8776cd30cdc8d7f8  ...        0\n1306110  ffff94d427ade3716cd1  ...        0\n1306111  ffffa382c58368071dc9  ...        0\n1306112  ffffa5b0fa76431c063f  ...        1\n1306113  ffffae5dbda3dc9e9771  ...        0\n1306114  ffffba7c4888798571c1  ...        0\n1306115  ffffc0c7158658a06fd9  ...        0\n1306116  ffffc404da586ac5a08f  ...        0\n1306117  ffffcc4e2331aaf1e41e  ...        0\n1306118  ffffd431801e5a2f4861  ...        0\n1306119  ffffd48fb36b63db010c  ...        0\n1306120  ffffec519fa37cf60c78  ...        0\n1306121  ffffed09fedb5088744a  ...        0\n\n[1306122 rows x 3 columns]>"},"metadata":{}}]},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":true},"cell_type":"code","source":"#data[data['target']==1.head()]\ndata['target'].value_counts() /data.shape[0]*100","execution_count":6,"outputs":[{"output_type":"execute_result","execution_count":6,"data":{"text/plain":"0    93.812982\n1     6.187018\nName: target, dtype: float64"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"from wordcloud import WordCloud\nimport matplotlib.pyplot as plt\ninsincere_rows=data[data['target']==1]\nwc=WordCloud(background_color='white').generate(''.join(insincere_rows['question_text']))\nplt.imshow(wc)","execution_count":11,"outputs":[{"output_type":"execute_result","execution_count":11,"data":{"text/plain":"<matplotlib.image.AxesImage at 0x7f0c96e25f28>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 432x288 with 1 Axes>","image/png":"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\n"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"from sklearn.model_selection import train_test_split\ntrain, validate=train_test_split(data, test_size=0.3, random_state=1)\ntrain.shape,validate.shape","execution_count":12,"outputs":[{"output_type":"execute_result","execution_count":12,"data":{"text/plain":"((914285, 3), (391837, 3))"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"import nltk\n\ndef clean_sentence(doc,stopwords,stemmer):\n    words=doc.split(' ')\n    words_clean = [stemmer.stem(word) for word in words if word not in stopwords]\n    return ' '.join(words_clean)\n\n\ndef clean_documents(docs_raw):\n    stopwords=nltk.corpus.stopwords.words('english')\n    stemmer= nltk.stem.PorterStemmer()\n    docs= docs_raw.str.lower().str.replace('[^a-z ]','')\n    docs_clean=docs.apply(lambda doc: clean_sentence(doc, stopwords, stemmer))\n    return docs_clean\ntrain_docs_clean = clean_documents(train['question_text'])\ntrain_docs_clean.head()","execution_count":16,"outputs":[{"output_type":"execute_result","execution_count":16,"data":{"text/plain":"635414          inhand salari rd prc freshli join mt cil\n906079                             one take yolo serious\n99492                                  best club nairobi\n973656    wake donald trump clock tick  hour return bodi\n397612                              made elon musk smart\nName: question_text, dtype: object"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"from sklearn.feature_extraction.text import CountVectorizer\nvectorizer = CountVectorizer(min_df=10).fit(train_docs_clean)\ndtm=vectorizer.transform(train_docs_clean)","execution_count":19,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"dtm","execution_count":20,"outputs":[{"output_type":"execute_result","execution_count":20,"data":{"text/plain":"<914285x19550 sparse matrix of type '<class 'numpy.int64'>'\n\twith 5406880 stored elements in Compressed Sparse Row format>"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"from sklearn.tree import DecisionTreeClassifier\nmodel_df = DecisionTreeClassifier(max_depth=10).fit(dtm, train['target'])","execution_count":23,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"validate_docs_clean = clean_documents(validate['question_text'])\ndtm_validate = vectorizer.transform(validate_docs_clean)\ndtm_validate","execution_count":26,"outputs":[{"output_type":"execute_result","execution_count":26,"data":{"text/plain":"<391837x19550 sparse matrix of type '<class 'numpy.int64'>'\n\twith 2313528 stored elements in Compressed Sparse Row format>"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"validate_pred=model_df.predict(dtm_validate)\nfrom sklearn.metrics import f1_score\nf1_score(validate['target'],validate_pred)","execution_count":29,"outputs":[{"output_type":"execute_result","execution_count":29,"data":{"text/plain":"0.2612959489255273"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"from sklearn.naive_bayes import MultinomialNB\nmodel_nb= MultinomialNB().fit(dtm, train['target'])\nvalidate_pred = model_nb.predict(dtm_validate)\nf1_score(validate['target'], validate_pred)","execution_count":28,"outputs":[{"output_type":"execute_result","execution_count":28,"data":{"text/plain":"0.5425968470252713"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"test= pd.read_csv('../input/test.csv')\ndocs_clean = clean_documents(test['question_text'])\ndtm_test = vectorizer.transform(docs_clean)\ndtm_test","execution_count":31,"outputs":[{"output_type":"execute_result","execution_count":31,"data":{"text/plain":"<375806x19550 sparse matrix of type '<class 'numpy.int64'>'\n\twith 2220720 stored elements in Compressed Sparse Row format>"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"test_pred=model_nb.predict(dtm_test)\n","execution_count":32,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"sample_submission=pd.read_csv('../input/sample_submission.csv')\nsubmission = pd.DataFrame({'qid':test['qid'],\n                          'prediction' : test_pred})\nsubmission[['qid','prediction']].to_csv('submission.csv', index=False)","execution_count":34,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.4","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}