/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 vote358 views3 answers
Pydrive download by url
Python
0 vote330 views1 answer
How to add number in tuple
Python
25 votes335 views2 answers
Python copy to clipboard command
Python
0 vote343 views1 answer
Iterate through python string starting at index
Python
8 votes320 views6 answers
Enumerate()
Python
0 vote343 views1 answer
How to use annoy python
Python
0 vote377 views1 answer
Permission denied when converting dataframe to csv
Python
0 vote318 views1 answer
Python boolean ungleich
Python
0 vote326 views2 answers
Django pagination class based views
Python
8 votes360 views2 answers
Split range python
Python