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Boruta and Classification #python #DataScience
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| feat_true, feat_top_rank = boruta_MP(l_mat,l_label,l_title,l_features,nest='auto',top_rank=5) | |
| # TRUE Feat | |
| l_cv = 3,5,6,7 | |
| times = 5 | |
| for i,feat in enumerate(true_feat_T10_R5_tres100): | |
| l_mat_true_T10_R5_tres100, l_label_true_T10_R5_tres100, l_title_true_T10_R5_tres100, _ = get_data_lists(feat) | |
| # print(feat) | |
| ca_results_True_T10_R5_tres100 = classify_MP([l_mat_true_T10_R5_tres100[i]],[l_label_true_T10_R5_tres100[i]],[l_title_true_T10_R5_tres100[i]],l_cv,times,nest=10,max_depth=6) |
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