Model Output.txt

Model Outputs

1. Logistic Regression :
    Accuracy Score:-  0.8412931667891257
Precision Score:-  0.5384615384615384
RMSE - 0.3983802620749105

2. KNeighborsClassifier
 Accuracy Score:-  0.8434974283614989
Precision Score:-  0.5862068965517241
RMSE - 0.3956040591784936

3. XGBClassifier
Accuracy Score:-  0.8427626745040412
Precision Score:-  0.5476190476190477
RMSE - 0.3965316197933764

4. GaussianNB
Accuracy Score:-  0.8126377663482733
Precision Score:-  0.31313131313131315
RMSE - 0.43285359378400295

5. RandomForestClassifier
Accuracy Score:-  0.8442321822189567
Precision Score:-  0.6666666666666666
RMSE - 0.3946743186236512

6. DecisionTreeClassifier
Accuracy Score:-  0.8368846436443791
Precision Score:-  0.25
RMSE - 0.4038754218266084

7. GradientBoostingClassifier
Accuracy Score:-  0.8390889052167524
Precision Score:-  0.42857142857142855
RMSE - 0.4011372518019831