DecisionTreeRegressor gives the following Output :
[[72 3]
[ 7 32]]
precision recall f1-score support
0 0.91 0.96 0.94 75
1 0.91 0.82 0.86 39
avg / total 0.91 0.91 0.91 114RandomForestClassifier gives :
[[74 1]
[ 2 37]]
precision recall f1-score support
B 0.97 0.99 0.98 75
M 0.97 0.95 0.96 39
avg / total 0.97 0.97 0.97 114
XGBoost gives :
[[75 0]
[ 2 37]]
precision recall f1-score support
B 0.97 1.00 0.99 75
M 1.00 0.95 0.97 39
avg / total 0.98 0.98 0.98 114ANN gives :
Epoch 512/512
512/512 [==============================] - 0s 18us/step - loss: 0.0028 - acc: 1.0000
[[35 0]
[ 0 22]]
precision recall f1-score support
0 1.00 1.00 1.00 35
1 1.00 1.00 1.00 22
avg / total 1.00 1.00 1.00 57