--- a
+++ b/tasks_adapt/validate_result.py
@@ -0,0 +1,36 @@
+'''Training result validator for adaptive classification with KU data.
+'''
+import argparse
+import re
+from os import listdir
+from os.path import join as pjoin
+
+parser = argparse.ArgumentParser(
+    description='Training result validator for adaptive classification with KU data')
+parser.add_argument('resultpath', type=str,
+                    help='Path to folder containing result_adapt*')
+args = parser.parse_args()
+path = args.resultpath
+schemes = ["result_adapt{}".format(i) for i in range(1, 6)]
+p = re.compile(r"epochs_s(\d+)_f(\d+)\.csv")
+valid = True
+for scheme in schemes:
+    for i in range(10):
+        rate = (i + 1) * 10
+        fs = listdir(pjoin(path, scheme, "r{}".format(rate)))
+        mat = [p.match(s) for s in fs]
+        grp = [[int(n) for n in m.groups()] for m in mat if m is not None]
+        if grp:
+            subjs, _ = zip(*grp)
+        else:
+            subjs = []
+        subjs = set(subjs)
+        if len(subjs) != 54:
+            valid = False
+            print("Missing result for {} rate {}".format(scheme, rate))
+            curr = len(subjs)
+            miss_subjs = set(range(1, 55)) - subjs
+            print('Missing subjs: ', miss_subjs)
+
+if valid:
+    print('No missing result detected, Looking good!!')