#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Mar 10 18:06:34 2022

@author: tanu
"""
models = [
        ('Logistic Regression'  , log_reg) 
        , ('K-Nearest Neighbors', knn) 
        ]

classification_metrics = {
    'F1_score': []
    ,'MCC': []
    ,'Precision': []
    ,'Recall': []
    ,'Accuracy': []
    ,'ROC_curve': []
    }

folds=[1,2]
fold_no=1
fold_dict={}
for model_name, model in models:
    fold_dict.update({model_name: {}})

for f in folds:
    fold=("fold_"+str(fold_no))
    for model_name, model in models:
        print("start of model", model_name, "fold: ", fold)
        fold_dict[model_name].update({fold: {}})
        fold_dict[model_name][fold].update(classification_metrics)

        print("end of model", model_name, "fold: ", fold)
        fold_dict[model_name][fold].update({'F1_score': random.randrange(1,10)})
    fold_no +=1
    pp.pprint(fold_dict)