Delete app_revised_with_r_value.py

app_revised_with_r_value.py

@@ -1,26 +0,0 @@
-# Replace this function in your utils or metric section
-def r_value(y_true, y_pred):
-    y_true = np.asarray(y_true)
-    y_pred = np.asarray(y_pred)
-    mask = np.isfinite(y_true) & np.isfinite(y_pred)
-    return float(np.corrcoef(y_true[mask], y_pred[mask])[0, 1])
-
-# Replace your metrics assignment for train/test/validate like this:
-# Old:
-# "R2": r2_score(...)
-# New:
-"R": r_value(...)
-
-# In all metric displays like:
-# c1.metric("R²", f"{m['R2']:.4f}")
-# Change to:
-c1.metric("R", f"{m['R']:.2f}")
-
-# In all metric panels for Train, Test, Validate
-c1.metric("R", f"{m['R']:.2f}")
-c2.metric("RMSE", f"{m['RMSE']:.2f}")
-c3.metric("MAE", f"{m['MAE']:.2f}")
-
-# Also replace in the 'Validation' and 'Prediction' sections accordingly.
-# Ensure all table metrics and summary stats (pred_min, pred_max, etc.) use 2 decimal digits:
-f"{value:.2f}"