## MART ## No. of trees = 1000 ## No. of leaves = 10 ## No. of threshold candidates = 256 ## Learning rate = 0.1 ## Stop early = 100 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 2.700000047683716 3.5999999046325684 2.700000047683716 3.5999999046325684 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 2.430000066757202 3.240000009536743 2.430000066757202 3.240000009536743 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 2.187000036239624 2.9159998893737793 2 16.515394 2.187000036239624 1 8.215707 2 18.371618 2.187000036239624 2.187000036239624 2.187000036239624 2.9159998893737793 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 1.9682999849319458 2.6243999004364014 1 8.215707 1.9683001041412354 1.9682999849319458 2.6243999004364014 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 1.7714699506759644 2.361959934234619 1 8.215707 1.7714698314666748 1.7714699506759644 2.361959934234619 2 13.8917055 0.0 1 9.476478 1 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