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#Prediction and performance
from sklearn.metrics import confusion_matrix
pred = model.predict(Xtrain_idx).argmax(axis = 1)
cf_matrix = confusion_matrix(np.array(df['Categories']), pred)
#Plot confusion matrix
plt.figure(figsize = (12,8))
plt.title('Confusion matrix')
sns.heatmap(cf_matrix, annot = True, fmt = '.0f', cmap =
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