Fix reading of MCC test file

postprocessing/compute_all_metrics.py

@@ -111,6 +111,9 @@ for k in range_combinations:
                 file_metrics = os.path.join(
                     PATH, f'{MODE}/{layers_concat}_tr_{MODEL}_rankList_allmetrics.txt'
                 )
+                file_MCC_test = os.path.join(
+                    PATH, MODE, f'{layers_concat}_tr_MCC_scores.txt'
+                )
 
             elif MODE == 'rSNFi':
                 file_log = os.path.join(
@@ -119,6 +122,9 @@ for k in range_combinations:
                 file_metrics = os.path.join(
                     PATH, f'{MODE}/{layers_concat}_ts_{MODEL}_KBest_allmetrics.txt'
                 )
+                file_MCC_test = os.path.join(
+                    PATH, MODE, f'{layers_concat}_ts_MCC_scores.txt'
+                )
             else:
                 file_log = os.path.join(
                     PATH, f'{MODE}/{layers_concat}_tr_{MODEL}_KBest.log'
@@ -126,6 +132,9 @@ for k in range_combinations:
                 file_metrics = os.path.join(
                     PATH, f'{MODE}/{layers_concat}_tr_{MODEL}_KBest_allmetrics.txt'
                 )
+                file_MCC_test = os.path.join(
+                    PATH, MODE, f'{layers_concat}_tr_MCC_scores.txt'
+                )
 
             with open(file_log) as f:
                 log_content = f.readlines()
@@ -141,9 +150,12 @@ for k in range_combinations:
             best_feat = int(best_feat_line.split(' = ')[1][:-1])
             best_feat_steps.append(best_feat)
 
-            mcc_test = float(mcc_test_line.split(' = ')[1][:-1])
+            with open(file_MCC_test, 'r') as f:
+                mcc_test = float(f.readlines()[1].split('\t')[1])
+                print(mcc_test)
+
             all_test_mccs.append(mcc_test)
-            # %%
+
             all_metrics = pd.read_csv(file_metrics, sep='\t')
             best_idxs = np.where(all_metrics["nf"] == best_feat)[0]