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Questions - imputation

How to apply a mapper to a specific portion of a column of a panda dataframe?

Basically I am trying to impute some values in a column based on some values in another column. So I am going through the records, where customer is missing, and then trying to impute SALES_LOCATION f...
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Ahsanul Haque

python

pandas

numpy

imputation

Votes: 0

Answers: 1

Latest Answer

Let's start with your pandas operations, they are quite inefficient because you are filtering your entire dataset in each loop. Here's a more efficient version: customer_to_sales_location_mapper = dic...
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Jan Jaap Meijerink

How to evaluate the effect of different methods of handling missing values?

I am a total beginner and I am trying to compare different methods of handling missing data. In order to evaluate the effect of each method (drop raws with missing values, drop columns with missigness...
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Maya

python

missing-data

imputation

Votes: 0

Answers: 1

Latest Answer

You replace all your missing values with 0 at that line : dataset = dataset.replace(nan, 0). After this line, you have a full dataset without missing values. So, the .fillna() and the SimpleImputer() ...
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Pierre-Loic

Comparing two models with different majority classes

I calculated the accuracy for a model with listwise deletion (0.75) and for a multiple imputation model (0.67). It seems like the standard model performs better. However, the naive baseline of the sta...
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tessa

missing-data

confusion-matrix

imputation

method-missing

Votes: 0

Answers: 0

Impute values with MissForest using missingpy for categorical/object variables

I have a truncated df with the following data types: # Column Non-Null Count Dtype --- ------ -------------- ----- 0 A ...
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S44

python

pandas

loops

machine-learning

imputation

Votes: 0

Answers: 0

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