--- a
+++ b/matrix.py
@@ -0,0 +1,26 @@
+# -*- coding: utf-8 -*-
+"""matrix.ipynb
+**
+ * This file is part of Hybrid CNN-LSTM for COVID-19 Severity Score Prediction paper.
+ *
+ * Written by Ankan Ghosh Dastider and Farhan Sadik.
+ *
+ * Copyright (c) by the authors under Apache-2.0 License. Some rights reserved, see LICENSE.
+ */
+ 
+"""
+model = load_model('') #Link CNN model weight directory
+final_loss, final_accuracy = model.evaluate(Final_X, Y_train)
+print('Final Loss: {}, Final Accuracy: {}'.format(final_loss, final_accuracy))
+
+Y_pred = model.predict(X_Train)
+
+Y_pred = np.argmax(Y_pred, axis=1)
+Y_true = np.argmax(Y_train, axis=1)
+
+cm = confusion_matrix(Y_true, Y_pred)
+plt.figure(figsize=(12, 12))
+ax = sns.heatmap(cm, cmap=plt.cm.Greens, annot=True, square=True, xticklabels=disease_types, yticklabels=disease_types)
+ax.set_ylabel('Actual', fontsize=40)
+ax.set_xlabel('Predicted', fontsize=40)
+