>>> dt_params = dict(algorithm='c45',
                     model_format='json',
                     min_records_of_parent=2,
                     min_records_of_leaf=1,
                     thread_ratio=0.4,
                     resampling_method='cv',
                     evaluation_metric='auc',
                     fold_num=5,
                     progress_indicator_id='CV',
                     param_search_strategy='grid',
                     param_values=dict(split_threshold=[1e-3 , 1e-4, 1e-5]))
>>> uni_dt = UnifiedClassification(func='DecisionTree', **dt_params)