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TakshPanchal
/ eval.py
Created
March 22, 2022 09:54
Code for printing classification report and show confusion matrix
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| from sklearn.metrics import classification_report, ConfusionMatrixDisplay, confusion_matrix | |
| import matplotlib.pyplot as plt | |
| def eval(y,y_hat,target_names=None): | |
| print(classification_report(y, y_hat, target_names=target_names)) | |
| matrix = confusion_matrix(y, y_hat) | |
| disp = ConfusionMatrixDisplay(confusion_matrix=matrix, display_labels=target_names) | |
| disp.plot(cmap=plt.cm.Blues) | |
| plt.show() |
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| // start execution with main() | |
| void main(){ | |
| print(sumIt(1,2)); | |
| } | |
| // return type is (int) | |
| // args has also return type of (int) | |
| /// [sumIt] | |
| int sumIt(int numberOne,int numberTwo){ | |
| // semicolon is necessary |