fix: coder prompt & model test text (#583)

* test text fix

* Require LLM to use print() instead of logging

rdagent/components/coder/data_science/model/eval_tests/model_test.txt

@@ -8,7 +8,7 @@ from sklearn.model_selection import train_test_split
 
 def log_execution_results(start_time, val_pred, test_pred, hypers, execution_label):
     """Log the results of a single model execution."""
-    feedback_str = f"{execution_label} successful.\n"
+    feedback_str = f"{execution_label} end.\n"
     feedback_str += f"Validation predictions shape: {val_pred.shape if val_pred is not None else 'None'}\n"
     feedback_str += f"Test predictions shape: {test_pred.shape if test_pred is not None else 'None'}\n"
     feedback_str += f"Hyperparameters: {hypers if hypers is not None else 'None'}\n"

rdagent/components/coder/data_science/model/prompts.yaml

@@ -35,6 +35,7 @@ model_coder:
     {{ data_loader_code }}
     --------- Feature Engineering Code ---------
     {{ feature_code }}
+    2. You should avoid using logging module to output information in your generated code, and instead use the print() function.
 
     ## Output Format
     {% if out_spec %}