Random Forest Results Classifier Results Criteria : information_gain Accuracy: 96.66666666666667 Precision: 90.0 Recall: 100.0 Precision: 100.0 Recall: 100.0 Precision: 100.0 Recall: 100.0 Precision: 100.0 Recall: 100.0 Precision: 100.0 Recall: 66.66666666666666 Criteria : gini_index Accuracy: 93.33333333333333 Precision: 100.0 Recall: 100.0 Precision: 100.0 Recall: 100.0 Precision: 100.0 Recall: 85.71428571428571 Precision: 75.0 Recall: 75.0 Precision: 75.0 Recall: 100.0 Regression Results Criteria : variance RMSE: 0.739362525546805 MAE: 0.5881589837723745 Random Forest for IRIS dataset Results Accuracy: 91.66666666666666 Precision for Iris-versicolor : 80.76923076923077 Recall for Iris-versicolor : 100.0 Precision for Iris-setosa : 100.0 Recall for Iris-setosa : 100.0 Precision for Iris-virginica : 100.0 Recall for Iris-virginica : 79.16666666666666
