“dari sklearn.metrics impor kebingungan_matrix pred = model.predict (x_test) pred = np.argmax (pred, axis = 1) y_true = np.argmax (y_test, axis = 1)” Kode Jawaban

dari sklearn.metrics impor kebingungan_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)