--- a
+++ b/plot_exp1.py
@@ -0,0 +1,38 @@
+import matplotlib.pyplot as plt
+import re
+import numpy as np
+def extract_acc(filename):
+    accuracy_array = []
+    with open(filename, 'r') as file:
+        for line in file:
+            match = re.search(r'Accuracy: ([\d.]+)', line)
+            if match:
+                accuracy = round(float(match.group(1)), 2)
+                accuracy_array.append(accuracy)
+    return accuracy_array
+
+
+num_subjects = list(range(20, 150, 20))
+accuracies1 = extract_acc('exp1_results/result-III-V3-V5.txt')
+accuracies2 = extract_acc('exp1_results/result-III-V3.txt')
+accuracies3 = extract_acc('exp1_results/result-V5.txt')
+accuracies4 = extract_acc('exp1_results/result-V3.txt')
+accuracies5 = extract_acc('exp1_results/result-III.txt')
+
+plt.figure(figsize=(10, 8), dpi=100)
+plt.plot(num_subjects, accuracies1, '#8C2155',marker='.', label='III+V3+V5')
+plt.plot(num_subjects, accuracies2, '#F99083',marker='.', label='III+V3')
+plt.plot(num_subjects, accuracies3, '#8AA29E',marker='.', label='V5')
+plt.plot(num_subjects, accuracies4, '#98CE00',marker='.', label='V3')
+plt.plot(num_subjects, accuracies5, '#FFC857',marker='.', label='III')
+
+
+plt.xlabel('Number of subjects', fontsize=16)
+plt.ylabel('Accuracy (%)', fontsize=16)
+plt.tick_params(axis='both', which='major', labelsize=12)
+plt.legend()
+plt.xlim((np.min(num_subjects),np.max(num_subjects)))
+plt.grid(True, 'both')
+plt.savefig('exp1_results/fig_exp1.png')
+plt.show()
+plt.close()
\ No newline at end of file