为什么PCA转换对所有主要成分都返回零? [英] Why PCA transformation return zero for all Principal components?

问题描述

我做了2个实验

第一个实验:在训练实验中仅将PCA用作数值数据，当我创建预测性实验并预测一个记录时，对于主成分，它返回全零

1st experiment: uses PCA for only numerical data in the training experiment, when i created the predicted experiment, and predicted for one record, it returned all zero for the the Principal components

实验1

第二个实验:我在训练实验中同时使用了PCA作为字符串和数字数据，当我创建预测性实验并预测了一条记录时，它返回了主要成分的值

2nd experiment: I used PCA for both string and numerical data in training experiment, when i created the predicted experiment, and predicted for one record, it returned values for the the Principal components

experiment2

experiment2

为什么第一个实验返回的全为零?

why 1st experiment is returning all zero?

推荐答案

我怀疑PCA无法降低实验1中数值变量的维数.

I suspect the PCA is not able to reduce the dimensionality of your numerical variables in your experiment-1.

此致，
Jaya  

Regards,
Jaya 

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