Skip to content

Method for Imputing Missing Values for NN #2

@ryangooch

Description

@ryangooch

from user fchollet: https://www.kaggle.com/c/predict-west-nile-virus/forums/t/13725/achieve-lb-0-684-in-seconds-with-a-deep-net-using-keras-python/74709#post74709

"With neural networks, if there are missing input values, I recommend filling them with 0s (after the input is preprocessed). A 0 input will be effectively ignored by a neural network (since the first stage is a linear transformation)."

Adding this to remind myself to try this and to document the reference. Also, for others if needed

Metadata

Metadata

Assignees

Projects

No projects

Milestone

No milestone

Relationships

None yet

Development

No branches or pull requests

Issue actions