## Question

###### What does it means to get the same feature selected for all classifier in machine learning?...

What does it means to get the same feature selected for all classifier in machine learning? Give a reaseach base answer of atleast 500 words. Also look at the table 5 below for more understanding of my question.

In the filter methods, the results showed that all tested classifiers left with same top ten features in the same order. (Table 5). This could indicate what? Table 5. List of the ranked features by filter method ML Classifiers Global minimum of the top ten features SMO 5,3,6,4,30,29,33,34,35,38 REPTree 5,3,6,4,30,29,33,34,35,38 NB Tree 5,3,6,4,30,29,33,34,35,38 RBF 5,3,6,4,30,29,33,34,35,38 Logit Boost 5,3,6,4,30,29,33,34,35,38 BayesNet 5,3,6,4,30,29,33,34,35,38 + +

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