/Python/From sklearn.metrics import confusion_matrix pred = model.predict(X_test) pred = np.argmax(pred,axis = 1) y_true = np.argmax(y_test,axis = 1)
From sklearn.metrics import confusion_matrix pred = model.predict(X_test) pred = np.argmax(pred,axis = 1) y_true = np.argmax(y_test,axis = 1)
From sklearn.metrics import confusion_matrix pred = model.predict(X_test) pred = np.argmax(pred,axis = 1) y_true = np.argmax(y_test,axis = 1)
0
- 0 vote265 views1 answer
- 39 votes253 views2 answers
- 0 vote263 views1 answer
- 3 votes274 views2 answers
- 0 vote263 views1 answer
- 1 vote275 views1 answer
- 1 vote275 views1 answer
- 0 vote243 views1 answer
- 0 vote269 views1 answer
- 11 votes251 views4 answers