Binary classification for http://archive.ics.uci.edu/ml/datasets/Adult data. I used 3 different types of feature sets (full set, rfe (only taken features ranked 1), features have importance > 0.01) in each algorithm to compare execution times and score (auc + accuracy).
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Binary classification for http://archive.ics.uci.edu/ml/datasets/Adult data. I used 3 different types of feature sets (full set, rfe (only taken features ranked 1), features have importance > 0.01) in each algorithm to compare execution times and score (auc + accuracy).
Alperenissimo/EarningClassification
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Binary classification for http://archive.ics.uci.edu/ml/datasets/Adult data. I used 3 different types of feature sets (full set, rfe (only taken features ranked 1), features have importance > 0.01) in each algorithm to compare execution times and score (auc + accuracy).
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