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what if target column contains NaN and when pass it as a target col in Pycaret, it's showing missing value error ; all available Imputation Methods working for rest of cols not for chosen target col.
s = setup(df, target = 'Life expectancy', numeric_imputation="mean")
ValueError: 10 missing values found in the target column: Life expectancy. To proceed, remove the respective rows from the data.
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what if target column contains NaN and when pass it as a target col in Pycaret, it's showing missing value error ; all available Imputation Methods working for rest of cols not for chosen target col.
s = setup(df, target = 'Life expectancy', numeric_imputation="mean")
ValueError: 10 missing values found in the target column: Life expectancy. To proceed, remove the respective rows from the data.
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