I'm not sure what's wrong, I tried to create a confusion matrix using matplotlib but it doesn't look right. The box isn't of the same size & the value is out of the matrix. The background is transparent but I don't mind it.
Here's the code:
# Get confusion matrix
import itertools
def plot_confusion_matrix(cm, classes,
normalize=False,
title='Confusion matrix',
cmap=plt.cm.Blues):
if normalize:
cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]
plt.figure(figsize=(5, 5))
plt.imshow(cm, interpolation='nearest', cmap=cmap)
plt.title(title)
plt.colorbar()
tick_marks = np.arange(len(classes))
plt.xticks(tick_marks, classes, rotation=45)
plt.yticks(tick_marks, classes)
fmt = '.2f' if normalize else 'd'
thresh = cm.max() / 2.
for i, j in itertools.product(range(cm.shape[0]), range(cm.shape[1])):
plt.text(j, i, format(cm[i, j], fmt),
horizontalalignment="center",
color="white" if cm[i, j] > thresh else "black")
plt.tight_layout()
plt.ylabel('True label')
plt.xlabel('Predicted label')
plt.show()
# Predict test data
y_pred=model.predict(X_test)
# Compute confusion matrix
cnf_matrix = confusion_matrix(y_test.argmax(axis=1), y_pred.argmax(axis=1))
np.set_printoptions(precision=2)
# Plot non-normalized confusion matrix
plot_confusion_matrix(cnf_matrix,
classes=['benign', 'malignant', 'normal'],
normalize=False,
title='Confusion matrix, with normalization')
Anyone knows what's wrong and how to fix it?