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Principal component analysis, a technique for dimensionality reduction.
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Which variables matter most for prediction of another variable?
However, when I used PCA from sklearn.decomposition and calculate the pca.explained_variance_ I get these values
[ 2.13128046e+01 3.44315766e-01 3.26052258e-01 2.67148345e-01
1.85871921e-01 …