Upload p53.py

p53.py

@@ -87,12 +87,8 @@ class P53(datasets.GeneratorBasedBuilder):
 			data.loc[:, feature] = data[feature].apply(encoding_function)
 		
 		for feature in data.columns:
-			print(f"on feature {feature}\n\n\n")
 			if feature == "class":
 				break
-
-			print(data[data[feature] == "?"].shape)
-			print(data[data[feature] != "?"].astype(float).mean())
 			data.loc[data[feature] == "?", feature] = data[data[feature] != "?"].astype(float).mean()
 
 		return data[list(features_types_per_config[self.config.name].keys())]