import confusion matrix plot confusion matrix

import matplotlib.pyplot as plt from sklearn.metrics import confusion_matrix, plot_confusion_matrix clf = # define your classifier (Decision Tree, Random Forest etc.) clf.fit(X, y) # fit your classifier # make predictions with your classifier y_pred = clf.predict(X) # optional: get true negative (tn), false positive (fp) # false negative (fn) and true positive (tp) from confusion matrix M = confusion_matrix(y, y_pred) tn, fp, fn, tp = M.ravel() # plotting the confusion matrix plot_confusion_matrix(clf, X, y) plt.show()

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.]])

Posted by: Guest on December-20-2020

Source

Code answers related to "import confusion matrix plot confusion matrix"

Code answers related to "Python"

Browse Popular Code Answers by Language

Answers for "import confusion matrix plot confusion matrix"

Code answers related to "import confusion matrix plot confusion matrix"

Code answers related to "Python"

Python Answers by Framework

Browse Popular Code Answers by Language

Popular Programming Languages

Advertisements

Company

Compilers

Help

Connect with us