Comparisons of XGB[0.81] and LGB[2.2.1]
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LightGBM.ipynb: Modified version of marugari's work
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exp013
- model : XGB(hist_depthwise, hist_lossguie, hist_GPU, GPU), LGB
- objective : Binary classification
- metric : Logloss
- dataset : make_classification
- n_train : 0.5M, 1M, 2M
- n_valid : n_train/4
- n_features : 32
- n_clusters_per_class : 8
- n_rounds : 100
- max_depth : 5, 10, 15
- num_leaves : 2 ** max_depth
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exp014
- model : XGB(hist_depthwise, hist_lossguie, hist_GPU, GPU), LGB
- objective : Binary classification
- metric : Logloss
- dataset : make_classification
- n_train : 1,2,4,8,16,32 * 10K
- n_valid : n_train/4
- n_features : 256
- n_clusters_per_class : 8
- n_rounds : 100
- max_depth : 5, 10
- num_leaves : 2 ** max_depth