Created
April 24, 2018 23:39
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| import pandas | |
| from sklearn.tree import LogisticRegressionClassifier | |
| #Read transaction data | |
| data=pd.read_csv('../input/creditcard.csv') | |
| x_train, x_test, y_train, y_test = train_test_split(data, target, train_size = 0.50) | |
| #train model | |
| model = LogisticRegressionClassifier.fit(x_train,y_train) | |
| score = model.score(x_test, y_test) | |
| #print result | |
| print(score) | |
| #test, output fraud/not fraud | |
| model.predict(y_test[3]) |
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