/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

10 votes179 views10 answers
Apple
Python
0 vote199 views1 answer
Supercharged python
Python
0 vote176 views1 answer
How to set beutfull tkinter button
Python
5 votes171 views2 answers
Matplotlib python background color
Python
0 vote190 views3 answers
Pow
Python
34 votes182 views4 answers
Save thing in pickle python
Python
0 vote183 views1 answer
Pandas to latex table newline not working
Python
1 vote201 views1 answer
Keras.layers.MaxPool2D
Python
0 vote242 views1 answer
Change set item python
Python
0 vote195 views1 answer
IntersectAll dynamo revit
Python