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fig, ax = plt.subplots() y_true, y_pred = zip(*results) cnf_matrix = confusion_matrix(y_true, y_pred) np.set_printoptions(precision=2) cnf_matrix = cnf_matrix.astype('float') / cnf_matrix.sum(axis=1)[:,np.newaxis] fig, ax = plt.subplots() im = ax.imshow(cnf_matrix,
fig, ax = plt.subplots() y_true, y_pred = zip(*results) cnf_matrix = confusion_matrix(y_true, y_pred) np.set_printoptions(precision=2) cnf_matrix = cnf_matrix.astype('float') / cnf_matrix.sum(axis=1)[:,np.newaxis] fig, ax = plt.subplots() im = ax.imshow(cnf_matrix, interpolation='nearest', cmap=plt.cm.Blues) ax.figure.colorbar(im, ax=ax) ax.grid(False)
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Probability and Random Processes With Applications to Signal Processing and Communications
Authors: Scott Miller, Donald Childers
2nd edition
123869811, 978-0121726515, 121726517, 978-0130200716, 978-0123869814
