Datasets:

mstz
/

student_performance

Tasks:

Tabular Classification

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Tags:

tabular_classification

binary_classification

multiclass_classification

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Dataset card Data Studio Files Files and versions

mstz commited on Mar 24, 2023

Commit

e924549

·

1 Parent(s): 3d409e0

Upload student_performance.py

Files changed (1) hide show

student_performance.py +3 -3

student_performance.py CHANGED Viewed

@@ -148,13 +148,13 @@ class StudentPerformance(datasets.GeneratorBasedBuilder):
             data.loc[:, feature] = data[feature].apply(encoding_function)
         if config == "math":
-            data = data.rename(columns={"math_score", "has_passed_math_exam"})
             return data[list(features_types_per_config["math"].keys())]
         elif config == "reading":
-            data = data.rename(columns={"reading_score", "has_passed_reading_exam"})
             return data[list(features_types_per_config["reading"].keys())]
         elif config == "writing":
-            data = data.rename(columns={"writing_score", "has_passed_writing_exam"})
             return data[list(features_types_per_config["writing"].keys())]
         else:
             raise ValueError(f"Unknown config: {config}")

             data.loc[:, feature] = data[feature].apply(encoding_function)
         if config == "math":
+            data = data.rename(columns={"math_score": "has_passed_math_exam"})
             return data[list(features_types_per_config["math"].keys())]
         elif config == "reading":
+            data = data.rename(columns={"reading_score": "has_passed_reading_exam"})
             return data[list(features_types_per_config["reading"].keys())]
         elif config == "writing":
+            data = data.rename(columns={"writing_score": "has_passed_writing_exam"})
             return data[list(features_types_per_config["writing"].keys())]
         else:
             raise ValueError(f"Unknown config: {config}")