I have a function that produces me confusion matrixes to some data. If i run this function without subplot in it it works fine but my matrixes are one under another, i wanted to add subplot but it makes weird thing next to my matrix.
Here is the code:
def crossValidation(cla):
i = 1
skf=StratifiedKFold(n_splits=5, shuffle=True, random_state=2)
acc=[]
net_mat=np.zeros((4, 4))
for train_index, test_index in skf.split(X,Y):
X_train=X[train_index]
X_test=X[test_index]
Y_train=Y[train_index]
Y_test=Y[test_index]
cla.fit(X_train, Y_train)
Y_testPred = cla.predict(X_test)
testAccuracy = metrics.accuracy_score(Y_test, Y_testPred)
print("Test Accuracy", testAccuracy*100)
acc.append(testAccuracy)
matrix1 = confusion_matrix(Y_test, Y_testPred)
#sum of the total confusion matirx
net_mat=net_mat+matrix1
plt.subplot(6, 2, i)
plot_confusion_matrix(matrix1,class_names=['A', 'B','C','D'],show_normed=True, colorbar=True, show_absolute=True,figsize=(4,4))
i = i + 1
plt.show()
return net_mat,acc