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ifiguero 2025-01-17 01:40:14 -03:00
parent a733143970
commit a5984647a3
1 changed files with 5 additions and 5 deletions
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10
train.py
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@ -8,14 +8,14 @@ warnings.filterwarnings("ignore")
_, dms2, dms3, _ = load_data()
resultados = analisis_univariado(dms2.dropna(), target="MODY2_label", continuas=['edad diag', 'IMC', 'glu ayu', 'glu 120','A1c'], discretas=['sexo', 'diabetes_familia'])
print(resultados)
with pd.ExcelWriter("Univariado.xlsx", engine='xlsxwriter') as xls:
mody2 = analisis_univariado(dms2.dropna(), target="MODY2_label", continuas=['edad diag', 'IMC', 'glu ayu', 'glu 120','A1c'], discretas=['sexo', 'diabetes_familia'])
mody2.to_excel(xls, sheet_name='MODY2', index=False)
mody3 = analisis_univariado(dsm3.dropna(), target="MODY3_label", continuas=['edad diag', 'IMC', 'glu ayu', 'glu 120','A1c'], discretas=['sexo', 'diabetes_familia'])
mody3.to_excel(xls, sheet_name='MODY3', index=False)
resultados = analisis_univariado(dms3.dropna(), target="MODY3_label", continuas=['edad diag', 'IMC', 'glu ayu', 'glu 120','A1c'], discretas=['sexo', 'diabetes_familia'])
print(resultados)
# mody2 = BinaryTuner(dms2, 'MODY2_label', seeds=[231964], test_size=0.2)
# mody2.fit()
# mody2.explain_model('GaussianNB', 'fulldataset-oversampled-mice', 231964)