1. 15: model = RandomForestClassifier(max samples = 0.9, max depth = dep, n estimators = 100) 16: model.fit 17: tests out(y test, y pred) {Performance test function} 18: results.append(accuracy, precision, recall, f1 score, FP, FN, training time) 19: end for 20: {Choose the opt max depth that yields the best results;} 21: {Optimize n estimators} 22: for each est in range(10,210,20) do 23: model = RandomForestClassifier
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