How does tree bagger handle NaN values

1 次查看（过去 30 天）
Jason Summers
Jason Summers 2020-2-7
回答： Puru Kathuria 2020-12-27
In building a random forest classifier I have some features with a large amount of NaN values, but it is not clear to me how Tree Bagger handles these NaNs. I've seen quite a bit of documentation of how that is handled in other high level programming languages, but I don't see explicitly how this is done in Matlab. Can anyone point me in the right direction so I can understand the default settings for this or user specified settings?

请先登录，再回答此问题。

回答（1 个）

Puru Kathuria
Puru Kathuria 2020-12-27
General rules that are followed while NaN or missing values are encountered:
  • Rule1: The algorithm simply discards the data points where all the features have NaN values and does not use them while training.
  • Rule 2: If a data point have a few NaN feature values then the algorithm will find the split on the basis of valid values first.

类别

在 Help Center 和 File Exchange 中查找有关 Statistics and Machine Learning Toolbox 的更多信息

标签

产品


版本

R2017b

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by