summary.py

"""
Consider the problem of binary classification in machine learning. We have the 
following y_true list with classes from the test set and the follwoing y_prod list
with classes provided by the model:
    y_true = [0, 0, 1, 1, 0, 1, 0]
    y_pred = [0, 0, 1, 0, 0, 1, 0]
Our task is to implement a function called accuracy(), which takes two arguments 
y_true and y_pred and calculates the accuracy of our model. The result is rounded to
four decimal places
"""
from dataclasses import fields
from itertools import count
from optparse import Values


y_true = [0, 0, 1, 1, 0, 1, 0]
y_pred = [0, 0, 1, 0, 0, 1, 0]

def accuracy(y_true, y_pred):
    cnt = 0
    for i, j in zip(y_true, y_pred):
        if i == j:
            cnt +=1
    return round(cnt/len(y_true), 4)
print(accuracy(y_true, y_pred))
print(zip(y_true, y_pred))