[M] Move non-api scripts to experiment\

experiment/accuracy_calculation.py

@@ -0,0 +1,60 @@
+import json
+
+if __name__ == '__main__':
+    with open('C:\Workspace\EECS 6414\Datasets\CN-Celeb_flac\id_labels.json', 'r', encoding='UTF-8') as f:
+        labels = json.load(f)
+
+    with open('C:\Workspace\EECS 6414\Datasets\CN-Celeb_flac\ina_pf_map.json', 'r', encoding='UTF-8') as f:
+        pf = json.load(f)
+
+    correct_f = []
+    correct_m = []
+    incorrect_f = []
+    incorrect_m = []
+
+    for k in labels:
+        if k not in pf:
+            print(f'Skipped {k}')
+            continue
+
+        if labels[k] == 'f':
+            if pf[k] > 0.5:
+                correct_f += k
+            else:
+                incorrect_f += k
+
+        if labels[k] == 'm':
+            if pf[k] < 0.5:
+                correct_m += k
+            else:
+                incorrect_m += k
+
+    print('Done Reading\n')
+
+    tp = len(correct_f)
+    tn = len(correct_m)
+    fp = len(incorrect_f)
+    fn = len(incorrect_m)
+
+    print('True Positive (F classified as F):', tp)
+    print('True Negative (M classified as M):', tn)
+    print('False Positive (F classified as M):', fp)
+    print('False Negative (M classified as F):', fn)
+
+    acc = (tp + tn) / (tp + tn + fp + fn)
+    precision_f = tp / (tp + fp)
+    recall_f = tp / (tp + fn)
+    precision_m = tn / (tn + fn)
+    recall_m = tn / (tn + fp)
+
+    print('Accuracy:', acc)
+    print('Precision F:', precision_f)
+    print('Recall F:', recall_f)
+    print('Precision M:', precision_m)
+    print('Recall M:', recall_m)
+
+    print('F wrongly classified as M:', fp / (tp + fp))
+    print('M wrongly classified as F:', fn / (tn + fn))
+
+
+