/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
- 1 vote373 views3 answers
- 1 vote399 views2 answers
- 7 votes352 views2 answers
- 33 votes292 views4 answers
- 0 vote305 views1 answer
- 1 vote318 views1 answer
- 125 votes355 views6 answers
- -1 vote329 views1 answer
- 7 votes325 views2 answers
- 6 votes351 views3 answers