First best results of datasets list

src/best.py

@@ -1,4 +1,5 @@
 import argparse
+import json
 from Results import Summary
 from Utils import EnvDefault
 
@@ -27,8 +28,15 @@ metrics = all_metrics if score == "all" else [score]
 summary = Summary()
 summary.acquire()
 
+nl = 50
+num = 100
 for metric in metrics:
     title = f"BEST RESULTS of {metric} for datasets"
     best = summary.best_results_datasets(score=metric)
     for key, item in best.items():
-        print(f"{key}: {item}")
+        print(f"{key:30s} {item[2]:{nl}s}")
+        print("-" * num)
+        print(f"{item[0]:30.7f} {json.dumps(item[1]):{nl}s}")
+        print("-" * num)
+        print(f"{item[3]:{nl+num}s}")
+        print("*" * num)