def main():
# set path
iris_path = [
'DataAnalysisProjectDesign/Experiment1/iris_train.arff',
'DataAnalysisProjectDesign/Experiment1/iris_test.arff'
]
adult_path = [
'DataAnalysisProjectDesign/Experiment1/adult_train.arff',
'DataAnalysisProjectDesign/Experiment1/adult_test.arff'
]
# get choice
data_choice = input('Enter 1 for iris DT; Enter 2 for adult DT:')
tree_choice = input('Enter 1 for ID3; Enter 2 for CART:')
path = select_dataset(data_choice, iris_path, adult_path)
# create train data instance
train_data_obj = Data(path[0])
train_data_obj.load_data()
train_data_obj.fill_missing_data()
# create test data instance
test_data_obj = Data(path[1])
test_data_obj.clear_memory()
test_data_obj.load_data()
test_data_obj.fill_missing_data()
tree = dt_router(train_data_obj, test_data_obj, tree_choice)
tree.test()
conf_mat, judge = tree.get_conf_mat()
return tree, conf_mat, judge
def main():
# set path
iris_path = 'DataAnalysisProjectDesign/Experiment2/iris_train.arff'
adult_path = 'DataAnalysisProjectDesign/Experiment2/adult_train.arff'
# get choice
data_choice = input('Enter 1 for iris; Enter 2 for adult:')
dt_num = int(input('Enter your expected tree number:'))
path = select_dataset(data_choice,iris_path,adult_path)
# create data instance
data_obj = Data(path)
data_obj.load_data()
data_obj.fill_missing_data()
# create random forest
rf = RandomForest(
data=data_obj,
dt_num=dt_num
)
rf.bagging()
rf.train_rf()
correct_rate,conf_mat = rf.test_rf()
return dt_num,correct_rate,conf_mat
