Update app.py

app.py

@@ -24,19 +24,23 @@ def get_data(verified, dataset, ipc, label_type, metric_weights=None):
     # create a new column for the score
     data["score"] = data[METRICS[0].lower()] * 0.0
     for i, metric in enumerate(METRICS):
-        data["score"] += data[metric.lower()] * metric_weights[i]
+        data["score"] += data[metric.lower()] * metric_weights[i] * METRICS_SIGN[i]
     data = data.sort_values(by="score", ascending=False)
     data["ranking"] = range(1, len(data) + 1)
 
+    for metric in METRICS:
+        data[metric.lower()] = data[metric.lower()].apply(lambda x: round(x, 2))
+    data["score"] = data["score"].apply(lambda x: round(x, 2))
+
     # formatting
     data["method"] = "[" + data["method"] + "](" + data["method_reference"] + ")"
     data["verified"] = data["verified"].apply(lambda x: "✅" if x else "")
     data = data.drop(columns=["method_reference", "dataset", "ipc"])
     data = data[['ranking', 'method', 'verified', 'date', 'label_type', 'hlr', 'ior', 'score']]
     if label_type == "Hard Label":
-        data = data.rename(columns={"ranking": "Ranking", "method": "Method", "date": "Date", "label_type": "Label Type", "hlr": "HLR↓", "ior": "IOR↑", "score": "Score", "verified": "Verified"})
+        data = data.rename(columns={"ranking": "Ranking", "method": "Method", "date": "Date", "label_type": "Label Type", "hlr": "HLR↓", "ior": "IOR↑", "score": "Score↓", "verified": "Verified"})
     else:
-        data = data.rename(columns={"ranking": "Ranking", "method": "Method", "date": "Date", "label_type": "Label Type", "hlr": "HLR↓", "ior": "IOR↑", "score": "Score", "verified": "Verified"})
+        data = data.rename(columns={"ranking": "Ranking", "method": "Method", "date": "Date", "label_type": "Label Type", "hlr": "HLR↓", "ior": "IOR↑", "score": "Score↓", "verified": "Verified"})
     return data