Upload heloc.py

heloc.py

@@ -61,7 +61,7 @@ _BASE_FEATURE_NAMES = [
     "percentage_trades_with_balance"
 ]
 
-DESCRIPTION = "Heloc dataset for cancer prediction."
+DESCRIPTION = "Heloc dataset for trade insolvency risk prediction."
 _HOMEPAGE = "https://community.fico.com/s/explainable-machine-learning-challenge?tabset-158d9=ca01a"
 _URLS = ("https://community.fico.com/s/explainable-machine-learning-challenge?tabset-158d9=ca01a")
 _CITATION = """
@@ -145,7 +145,7 @@ class Heloc(datasets.GeneratorBasedBuilder):
 
             yield row_id, data_row
 
-    def preprocess(self, data: pandas.DataFrame, config: str = "cancer") -> pandas.DataFrame:
+    def preprocess(self, data: pandas.DataFrame, config: str = "risk") -> pandas.DataFrame:
         data = data[list(features_types_per_config["risk"].keys())]
 
         data.loc[:, "is_at_risk"] = data.is_at_risk.apply(lambda x: 1 if x == "Bad" else 0)