Carlos Azevedo csazevedo
csazevedo
/ sample_cm.py
Last active
March 29, 2020 22:17
example on computing the confusion matrix using sklearn
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| import numpy as np | |
| from sklearn.metrics import confusion_matrix | |
| # The true labels we have in the plot orange:positive, blue:negative | |
| true_label = np.array( | |
| [0., 0., 0., 0., 0., | |
| 0., 0., 0., 0., 0., | |
| 1., 1., 1., 1., 1., | |
| 1., 1., 1., 1., 1.]) |