Update app.py

app.py

@@ -112,6 +112,10 @@ imp_df = pd.DataFrame({"col": X.columns, "imp": full_plain.feature_importances_}
 imp_df["cum"] = imp_df["imp"].cumsum()
 COLS = imp_df.loc[imp_df["cum"] <= 0.95, "col"].tolist()
 
+print("\n🔎 Modelde kullanılan kolonlar:")
+for i, col in enumerate(COLS, start=1):
+    print(f"{i:>2}. {col}")
+
 scaler_sel = MinMaxScaler().fit(X_tr[COLS])
 Xtr_sel = scaler_sel.transform(X_tr[COLS])
 Xte_sel = scaler_sel.transform(X_te[COLS])