The belief that 'features with high variance are important' is a mistake. The real factors that determine machine learning model accuracy

Even if you explain 99% of the variance with PCA, your prediction accuracy might not improve by even 0.1%. This is one of the greatest tricks in statistics. Variance and predictive power are not as ...