Created
June 29, 2020 15:44
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| def get_roc_curve(gt, pred, target_names): | |
| for i in range(len(target_names)): | |
| curve_function = plot_roc_curve | |
| auc_roc = auc_score(gt[:, i], pred[:, i]) | |
| label = str(target_names[i]) + " AUC: %.3f " % auc_roc | |
| xlabel = "False positive rate" | |
| ylabel = "True positive rate" | |
| a, b, _ = curve_function(gt[:, i], pred[:, i]) | |
| plt.figure(1, figsize=(7, 7)) | |
| plt.plot([0, 1], [0, 1], 'k--') | |
| plt.plot(a, b, label=label) | |
| plt.xlabel(xlabel) | |
| plt.ylabel(ylabel) | |
| plt.legend(loc='upper center', bbox_to_anchor=(1.3, 1), | |
| fancybox=True, ncol=1) | |
| plt.savefig('ROC_Curve.png') | |
| plt.show() |
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