/Python/Compute confusion matrix using python

Compute confusion matrix using python

import numpy as np

currentDataClass = [1, 3, 3, 2, 5, 5, 3, 2, 1, 4, 3, 2, 1, 1, 2]
predictedClass = [1, 2, 3, 4, 2, 3, 3, 2, 1, 2, 3, 1, 5, 1, 1]

def comp_confmat(actual, predicted):

    classes = np.unique(actual) # extract the different classes
    matrix = np.zeros((len(classes), len(classes))) # initialize the confusion matrix with zeros

    for i in range(len(classes)):
        for j in range(len(classes)):

            matrix[i, j] = np.sum((actual == classes[i]) & (predicted == classes[j]))

    return matrix

comp_confmat(currentDataClass, predictedClass)

array([[3., 0., 0., 0., 1.],
       [2., 1., 0., 1., 0.],
       [0., 1., 3., 0., 0.],
       [0., 1., 0., 0., 0.],
       [0., 1., 1., 0., 0.]])

Source: stackoverflow.com

Similar codes

0 vote320 views1 answer
How to standardize the image data to have values between 0 and 1
Python
0 vote318 views2 answers
AttributeError: 'Series' object has no attribute 'toarray'
Python
0 vote317 views1 answer
How to close a webpage using selenium driver python
Python
0 vote315 views1 answer
Matplotlib savefig cutting off graph
Python
0 vote284 views1 answer
Cv2.imwrite path
Python
31 votes306 views5 answers
Python loop through files in directory
Python
0 vote306 views1 answer
Matplotlib scatter increase marker size
Python
5 votes312 views2 answers
Groupby and list
Python
4 votes298 views2 answers
Django group by
Python
2 votes383 views3 answers
Get absolute url django
Python Django