Datasets:
Upload nbfi.py
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nbfi.py
CHANGED
@@ -204,6 +204,7 @@ class NBFI(datasets.GeneratorBasedBuilder):
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data.drop("Type_Organization", axis="columns", inplace=True)
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data.drop("Phone_Change", axis="columns", inplace=True)
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data = data[~data.Client_Education.isna()]
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data = data[~data.Child_Count.isna()]
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data = data[~data.Client_Marital_Status.isna()]
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@@ -223,6 +224,13 @@ class NBFI(datasets.GeneratorBasedBuilder):
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data = data[~data.Score_Source_2.isna()]
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data = data[~data.Score_Source_3.isna()]
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data = data[~data.Credit_Bureau.isna()]
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data.columns = _BASE_FEATURE_NAMES
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data.drop("Type_Organization", axis="columns", inplace=True)
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data.drop("Phone_Change", axis="columns", inplace=True)
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data = data[~data.Client_Income.isna()]
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data = data[~data.Client_Education.isna()]
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data = data[~data.Child_Count.isna()]
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data = data[~data.Client_Marital_Status.isna()]
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data = data[~data.Score_Source_2.isna()]
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data = data[~data.Score_Source_3.isna()]
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data = data[~data.Credit_Bureau.isna()]
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data = data[~data.Credit_Amount.isna()]
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data = data[~data.Loan_Annuity.isna()]
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data = data[~data.Accompany_Client.isna()]
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data = data[~data.Population_Region_Relative.isna()]
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data = data[~data.Client_Occupation.isna()]
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data = data[~data.Client_Family_Members.isna()]
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data = data[~data.Social_Circle_Default.isna()]
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data.columns = _BASE_FEATURE_NAMES
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