# Create Bagged Predictor forest2 = RandomForest(training_table, 2) forest2.BuildNTrees(1) forest4 = RandomForest(training_table, 4) forest4.BuildNTrees(1) forest6 = RandomForest(training_table, 6) forest6.BuildNTrees(1) for i in range(0, range_end): print(i+1, '/', range_end) training_accuracy2.append(forest2.GetAccuracyLevel(training_table)) testing_accuracy2.append(forest2.GetAccuracyLevel(testing_table)) forest2.BuildNTrees(1) training_accuracy4.append(forest4.GetAccuracyLevel(training_table)) testing_accuracy4.append(forest4.GetAccuracyLevel(testing_table)) forest4.BuildNTrees(1) training_accuracy6.append(forest6.GetAccuracyLevel(training_table)) testing_accuracy6.append(forest6.GetAccuracyLevel(testing_table)) forest6.BuildNTrees(1) num_trees.append(len(forest.trees)) forest.BuildNTrees(1)