A Pareto chart could be used to show which factors have the greatest impact and where attention is likely to yield the greatest benefit. Also common machine learning feature selection methods can simplify model, reduce training times, overfitting etc.

Both techniques are used to pay attention to some bolded features. I want to what the benefits are to use one policy instead of another one?

  • $\begingroup$ well, I think the chart is visualizing (measured) feature importance while feature selection is measuring feature importance. $\endgroup$ – WCMC Mar 5 '17 at 7:11
  • $\begingroup$ @Frank I think both can be measured and visualized. $\endgroup$ – Zahra Aminolroaya Mar 5 '17 at 7:19

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