@MLGP_recorder@
@record_result@
train_sample_num,rmse,r2,time
32,226.6539058080462,-0.04674963225444811,5.7917749881744385
64,225.28697635337585,-0.03102513775263148,9.942455053329468
96,224.63700103219324,-0.026831408898918847,14.320883989334106
128,224.39982283080028,-0.028326758636952935,19.26237916946411


@MLGP_recorder@
@record_result@
train_sample_num,rmse,r2,time
32,233.29189918128532,-0.10041400726416053,5.803645849227905
64,232.5101553410895,-0.09262463094955269,10.023430824279785
96,227.81323721640257,-0.05303324008894169,14.760311841964722
128,224.4149009966581,-0.025106539760267457,22.044578790664673


@MLGP_recorder@
@record_result@
train_sample_num,rmse,r2,time
32,226.95169620915928,-0.05529344162450935,6.325565814971924
64,225.4003422422948,-0.03411750573358157,11.309768915176392
96,223.9119248246241,-0.020650631997791203,16.060502767562866
128,226.52295788294396,-0.043169423767820146,21.865701913833618


@MLGP_recorder@
@record_result@
train_sample_num,rmse,r2,time
32,228.45053845243982,-0.06166776960231,6.584073066711426
64,230.29801383355863,-0.07238955851539297,11.111893892288208
96,235.92849424282852,-0.13365881512736597,16.02305006980896
128,232.84630197993903,-0.10462062657957809,22.94521403312683


@MLGP_recorder@
@record_result@
train_sample_num,rmse,r2,time
32,234.9861168694326,-0.14228873907365341,6.555111885070801
64,223.25111412949101,-0.017145959281393168,11.467366933822632
96,221.98758086245,-0.0050419575050743995,16.09704279899597
128,224.36713149863286,-0.02403078353041426,22.03481888771057


@MLGP_recorder@
@record_result@
train_sample_num,rmse,r2,time
