Parameters | Used Parameters’ Values of Employed ML Models | |||
---|---|---|---|---|
Decision Tree | Random Forest | Adaboost | Bagging | |
Criterion | gini | gini | Â | Â |
Splitter | best | Â | Â | Â |
Max_depth | none | None | 1 | None |
Min_samples_split | 2 | 2 | Â | Â |
Min_samples_leaf | 1 | 1 | Â | Â |
Min_weigth_fraction_leaf | 0.0 | Sum total of weights | Â | Â |
Max_features | None | None | Â | 1.0 |
Random_state | x | None | None | 42 |
N_estimators | Â | 100 | 50 | 10 |
Base_estimators | Â | Â | DecisionTree | RandomForest |
Max_samples | Â | Â | Â | 1.0 |
Oob_score | Â | false | Â | false |
bootstrap | Â | true | Â | true |
N_jobs | Â | none | Â | none |
Algorithm | Â | Â | SAMME | Â |
Learning Rate | Â | Â | 1 | Â |