Pca, Principal Components, Dimensionality Reduction, Eigenvectors, Eigenvalue.
model is giving better accuracy. Moreover, you would have heard people saying that my PCA is explaining 80% of the variance. But has someone ever asked you what is the eigenvector and eigenvalue? and how are these related to principal components? Also, do you know if it has some relation with the