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Datasets:
mstz
/
student_performance

Tasks:
Tabular Classification
Modalities:
Tabular
Text
Languages:
English
Size:
1K - 10K
Tags:
student performance
tabular_classification
binary_classification
Libraries:
Datasets
License:
Dataset card Data Studio Files Community
mstz commited on
Commit
c1d58b6
·
1 Parent(s): e924549

Upload student_performance.py

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Files changed (1) hide show
  1. student_performance.py +3 -3
student_performance.py CHANGED
@@ -63,7 +63,7 @@ features_types_per_config = {
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  "ethnicity": datasets.Value("string"),
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  "parental_level_of_education": datasets.Value("int8"),
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  "has_standard_lunch": datasets.Value("int8"),
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- "test_preparation_course": datasets.Value("string"),
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  "reading_score": datasets.Value("int64"),
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  "writing_score": datasets.Value("int64"),
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  "has_passed_math_exam": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
@@ -73,7 +73,7 @@ features_types_per_config = {
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  "ethnicity": datasets.Value("string"),
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  "parental_level_of_education": datasets.Value("int8"),
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  "has_standard_lunch": datasets.Value("int8"),
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- "test_preparation_course": datasets.Value("string"),
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  "reading_score": datasets.Value("int64"),
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  "math_score": datasets.Value("int64"),
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  "has_passed_writing_exam": datasets.ClassLabel(num_classes=2, names=("no", "yes")),
@@ -83,7 +83,7 @@ features_types_per_config = {
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  "ethnicity": datasets.Value("string"),
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  "parental_level_of_education": datasets.Value("int8"),
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  "has_standard_lunch": datasets.Value("int8"),
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- "test_preparation_course": datasets.Value("string"),
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  "writing_score": datasets.Value("int64"),
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  "math_score": datasets.Value("int64"),
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  "has_passed_reading_exam": datasets.ClassLabel(num_classes=2, names=("no", "yes")),
 
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  "ethnicity": datasets.Value("string"),
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  "parental_level_of_education": datasets.Value("int8"),
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  "has_standard_lunch": datasets.Value("int8"),
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+ "has_completed_preparation_test": datasets.Value("string"),
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  "reading_score": datasets.Value("int64"),
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  "writing_score": datasets.Value("int64"),
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  "has_passed_math_exam": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
 
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  "ethnicity": datasets.Value("string"),
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  "parental_level_of_education": datasets.Value("int8"),
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  "has_standard_lunch": datasets.Value("int8"),
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+ "has_completed_preparation_test": datasets.Value("string"),
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  "reading_score": datasets.Value("int64"),
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  "math_score": datasets.Value("int64"),
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  "has_passed_writing_exam": datasets.ClassLabel(num_classes=2, names=("no", "yes")),
 
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  "ethnicity": datasets.Value("string"),
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  "parental_level_of_education": datasets.Value("int8"),
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  "has_standard_lunch": datasets.Value("int8"),
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+ "has_completed_preparation_test": datasets.Value("string"),
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  "writing_score": datasets.Value("int64"),
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  "math_score": datasets.Value("int64"),
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  "has_passed_reading_exam": datasets.ClassLabel(num_classes=2, names=("no", "yes")),