grid = GridSearchCV(pipe, param_grid, cv=5)
grille=grid.fit(text_train, Y_train)
y_pred = grille.predict(text_test)
from sklearn import metrics
#matrice de confusion
print("matrice confusion")
print(metrics.confusion_matrix(Y_test,y_pred))
#succès en test
print("score accuracy")
print(metrics.accuracy_score(Y_test,y_pred))

[[   0    0    0    0    0    0    0    0    0    0   27    2]
 [   0    0    0    0    0    0    0    0    0    0   88   23]
 [   0    0    0    0    0    0    0    0    0    0   12    0]
 [   0    0    0    0    0    0    0    0    0    0   22    4]
 [   0    0    0    0    0    0    0    0    0    0  108   90]
 [   0    0    0    0    0    0    0    0    0    0   28   60]
 [   0    0    0    0    0    0    0    0    0    0   16   94]
 [   0    0    0    0    0    0    0    0    0    0   49  424]
 [   0    0    0    0    0    0    0    0    0    0    5   76]
 [   0    0    0    0    0    0    0    0    0    0   78 1487]
 [   0    0    0    0    0    0    0    0    0    0    0    0]
 [   0    0    0    0    0    0    0    0    0    0    0    0]]