Random Forest: 
           	precision    recall  f1-score   support

           0       0.90      0.91      0.91       640
           1       0.82      0.81      0.81       640
           2       0.87      0.87      0.87       640
           3       0.83      0.84      0.83       640

    accuracy                           0.86      2560
   macro avg       0.86      0.86      0.86      2560
weighted avg       0.86      0.86      0.86      2560

Standard Error:
(0.009826687816743845,
 0.009349393504855657,
 0.013223726284158107,
 0.01133135505277398)

Extremely Randomized Trees:
              precision    recall  f1-score   support

           0       0.90      0.91      0.90       640
           1       0.80      0.79      0.80       640
           2       0.86      0.85      0.86       640
           3       0.81      0.82      0.81       640

    accuracy                           0.84      2560
   macro avg       0.84      0.84      0.84      2560
weighted avg       0.84      0.84      0.84      2560

Standard Error:
(0.011694088841959136,
 0.016091637817811692,
 0.009899562115804035,
 0.012128446159269411)

AdaBoost Algorithm:
              precision    recall  f1-score   support

           0       0.91      0.88      0.89       640
           1       0.80      0.80      0.80       640
           2       0.83      0.82      0.83       640
           3       0.79      0.81      0.80       640

    accuracy                           0.83      2560
   macro avg       0.83      0.83      0.83      2560
weighted avg       0.83      0.83      0.83      2560

Standard Error:
(0.00936028096379671,
 0.007753353381892875,
 0.01049714523528457,
 0.023595300451027458)

GradientBoosting Algorithm:
              precision    recall  f1-score   support

           0       0.91      0.91      0.91       640
           1       0.82      0.82      0.82       640
           2       0.87      0.87      0.87       640
           3       0.83      0.83      0.83       640

    accuracy                           0.86      2560
   macro avg       0.86      0.86      0.86      2560
weighted avg       0.86      0.86      0.86      2560

Standard Error:
(0.016679177441598723,
 0.009479330159847591,
 0.012047194979934913,
 0.010941109185824856)

Voting Algorithm:
              precision    recall  f1-score   support

           0       0.92      0.92      0.92       640
           1       0.82      0.81      0.82       640
           2       0.87      0.87      0.87       640
           3       0.83      0.84      0.83       640

    accuracy                           0.86      2560
   macro avg       0.86      0.86      0.86      2560
weighted avg       0.86      0.86      0.86      2560

Standard Error:
(0.013810578461199811,
 0.009393256980446192,
 0.012655608315752095,
 0.013369922989760705)