> depth=c(1,2,3,4,5) | |
> tuning.gbm(trn,depth,20,0.7) | |
[1] "=== cross validation error estimation ===" | |
[1] "depth= 1 : error= 12.2088907005888 +- 2.63624188615258" | |
[1] "depth= 2 : error= 9.99951434560433 +- 2.30181005481302" | |
[1] "depth= 3 : error= 9.39671136126591 +- 2.19944247921552" | |
[1] "depth= 4 : error= 9.14194019449996 +- 2.16337261929302" | |
[1] "depth= 5 : error= 8.97911772123462 +- 2.18464631653844" | |
[1] 5 | |
> #normalized data | |
> tuning.gbm(ntrn,depth,20,0.7) | |
[1] "=== cross validation error estimation ===" | |
[1] "depth= 1 : error= 13.9370040081716 +- 3.04440240601424" | |
[1] "depth= 2 : error= 11.4634148778012 +- 2.57605950695619" | |
[1] "depth= 3 : error= 10.6968093959549 +- 2.5842720460932" | |
[1] "depth= 4 : error= 10.4965351284161 +- 2.70512669539836" | |
[1] "depth= 5 : error= 10.2043560393421 +- 2.72245106119603" | |
[1] 5 |
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