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Copy pathaidoctor_scikitlearn result.txt
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aidoctor_scikitlearn result.txt
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Only considering the very last timestep for each patient
Training and Testing with Multi-Layer Perceptron
Area Under the Curve is 0.644305705059
Accuracy for Multi-Layer Perceptron = 87.28652751423151
Training and Testing with Logistic Regression
Area Under the Curve is 0.720120559742
Accuracy for Logistic Regression = 87.66603415559773
Training and Testing with Logistic Regression (l1 penalty)
Area Under the Curve is 0.727078579117
Accuracy for Logistic Regression = 87.76091081593927
Training and Testing with Decision Tree Classifier
Area Under the Curve is 0.579952637244
Accuracy for Decision Tree = 80.26565464895636
Training and Testing with Random Forest Classifier
Area Under the Curve is 0.579875134553
Accuracy for Random Forest = 87.85578747628084
Training and Testing with Bagging Classifier
Area Under the Curve is 0.716977395048
Accuracy for Random Forest = 87.85578747628084
Training and Testing with Voting Classifier
Area Under the Curve is 0.723143164693
Accuracy for Random Forest = 88.1404174573055
Now considering all the timestep
Training and Testing with Multi-Layer Perceptron
Area Under the Curve is 0.534997105296
Accuracy for Multi-Layer Perceptron = 92.64828738512949
Training and Testing with Logistic Regression
Area Under the Curve is 0.704418651119
Accuracy for Logistic Regression = 92.64828738512949
Training and Testing with Logistic Regression (l1 penalty)
Area Under the Curve is 0.705169865358
Accuracy for Logistic Regression = 92.64828738512949
Training and Testing with Decision Tree Classifier
Area Under the Curve is 0.536352877285
Accuracy for Decision Tree = 86.29908103592314
Training and Testing with Random Forest Classifier
Area Under the Curve is 0.603849444627
Accuracy for Random Forest = 92.64828738512949
Training and Testing with Bagging Classifier
Area Under the Curve is 0.704420572383
Accuracy for Random Forest = 92.62740183792816
Training and Testing with Voting Classifier
Area Under the Curve is 0.674747930158
Accuracy for Random Forest = 92.64828738512949