How to use Regression Learner App with NaN values?
2 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
I have a table with 3 inputs and an output and I'm using Regression Learner app to train a regression model and so far everything is ok, then I should decrease the measurements of a single input predictive variable and see how the performance changes, so I delete some measurements in a column and therefore they will assume NaN values, but subsequently Regression Learner app don't make predictions for the lines that contain NaN values, how can I solve?
0 comentarios
Respuestas (1)
Fabrice Lambert
el 17 de Abr. de 2020
Hi,
As I understand it, the linear regression, SVM, and some GPR algorithms will ignore rows that contain NaNs. Use the tree algorithms, these will ignore only the NaN values in its column.
0 comentarios
Ver también
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!