## Random Forests ## No. of bags = 300 ## Sub-sampling = 1.0 ## Feature-sampling = 1.0 ## No. of trees = 1 ## No. of leaves = 100 ## No. of threshold candidates = 256 ## Learning rate = 0.1 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 1 6.788588 0.0 1 8.215707 1 7.469109 4.0 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 1 6.788588 0.0 1 8.215707 1 7.469109 4.0 3.0 4.0 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 3.0 4.0 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 1 6.788588 0.0 1 8.215707 1 7.469109 4.0 3.0 4.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 1 6.788588 0.0 1 8.215707 1 7.469109 4.0 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 1 0.0 0.0 4.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 1 6.788588 0.0 1 8.215707 1 7.469109 4.0 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 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 3.0 4.0 3.0 4.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 1 0.0 0.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 2 0.0 0.0 3.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 1 6.788588 0.0 1 8.215707 1 7.469109 4.0 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 1 6.788588 0.0 1 8.215707 1 7.469109 4.0 3.0 4.0 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 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 1 0.0 0.0 4.0 1 6.788588 0.0 1 8.215707 1 7.469109 4.0 3.0 4.0 1 0.0 0.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 1 6.788588 0.0 1 8.215707 1 7.469109 4.0 3.0 4.0 1 6.788588 0.0 1 8.215707 1 7.469109 4.0 3.0 4.0 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 3.0 4.0 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 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 3.0 4.0 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 3.0 4.0 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 1 0.0 0.0 4.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 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 3.0 4.0 3.0 4.0 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 3.0 4.0 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 1 6.788588 0.0 1 8.215707 1 7.469109 4.0 3.0 4.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 1 0.0 0.0 4.0 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 3.0 4.0 3.0 4.0 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 3.0 4.0 3.0 4.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 1 6.788588 0.0 1 8.215707 1 7.469109 4.0 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 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 3.0 4.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 1 6.788588 0.0 1 8.215707 3.0 4.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 1 6.788588 0.0 1 8.215707 3.0 4.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 1 6.788588 0.0 1 8.215707 1 7.469109 4.0 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 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 3.0 4.0 2 0.0 0.0 3.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 1 6.788588 0.0 1 8.215707 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 0.0 0.0 3.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 2 0.0 0.0 3.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 1 6.788588 0.0 1 8.215707 3.0 4.0 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 3.0 4.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 1 6.788588 0.0 1 8.215707 1 7.469109 4.0 3.0 4.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 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 3.0 4.0 3.0 4.0 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 3.0 4.0 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 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 3.0 4.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 1 6.788588 0.0 1 8.215707 1 7.469109 4.0 3.0 4.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 1 6.788588 0.0 1 8.215707 1 7.469109 4.0 3.0 4.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 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 3.0 4.0 1 6.788588 0.0 1 8.215707 1 7.469109 4.0 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 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 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 1 6.788588 0.0 1 8.215707 1 7.469109 4.0 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 1 6.788588 0.0 1 8.215707 1 7.469109 4.0 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 1 6.788588 0.0 1 8.215707 1 7.469109 4.0 3.0 4.0 1 0.0 0.0 4.0 1 6.788588 0.0 1 8.215707 1 7.469109 4.0 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 1 6.788588 0.0 1 8.215707 1 7.469109 4.0 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 1 0.0 0.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 1 6.788588 0.0 1 8.215707 3.0 4.0 1 0.0 0.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 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 3.0 4.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 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 3.0 4.0 3.0 4.0 2 0.0 0.0 3.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 1 6.788588 0.0 1 8.215707 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 1 6.788588 0.0 1 8.215707 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 1 0.0 0.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 2 0.0 0.0 3.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 1 6.788588 0.0 1 8.215707 1 7.469109 4.0 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 1 6.788588 0.0 1 8.215707 3.0 4.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 1 6.788588 0.0 1 8.215707 1 7.469109 4.0 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 1 6.788588 0.0 1 8.215707 1 7.469109 4.0 3.0 4.0 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 3.0 4.0 3.0 4.0 1 6.788588 0.0 1 8.215707 3.0 4.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 2 13.8917055 0.0 1 9.476478 3.0 4.0 2 13.8917055 0.0 1 9.476478 1 7.469109 1 6.822593 3.0 4.0 3.0 4.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 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 3.0 4.0 1 6.788588 0.0 1 7.469109 4.0 1 8.215707 3.0 4.0 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 3.0 4.0 3.0 4.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0 2 0.0 0.0 1 6.822593 3.0 1 7.469109 4.0 3.0