@MLGP_recorder@
@record_result@
train_sample_num,rmse,r2,time
32,224.59253735806305,-0.06332014229122279,4.088232755661011
64,229.62315380096797,-0.10423720288621255,5.821082830429077
96,231.65178882659632,-0.14021531789439867,7.231541633605957
128,229.0793126994799,-0.12197135571270608,8.746613502502441


@MLGP_recorder@
@record_result@
train_sample_num,rmse,r2,time
32,285.8409652994109,-0.7144646643694451,4.181285381317139
64,238.04402404855284,-0.1784280697495426,5.956607818603516
96,222.86366510663245,-0.055335893922906665,7.3740622997283936
128,219.45673175425162,-0.02009293274619102,9.282611846923828


@MLGP_recorder@
@record_result@
train_sample_num,rmse,r2,time
32,252.69395017517292,-0.39307610180363883,4.152867794036865
64,250.13196949311651,-0.35775655192197664,5.74769926071167
96,234.70084357710485,-0.15496110409391195,7.1755194664001465
128,244.60593184251852,-0.28559487599161887,8.932318925857544


@MLGP_recorder@
@record_result@
train_sample_num,rmse,r2,time
32,243.69696931622636,-0.28894662187078096,4.051859617233276
64,237.0256578949389,-0.18238696756655473,5.611997842788696
96,231.69248804410796,-0.13399386291518336,6.909686803817749
128,225.38764253925575,-0.06987675067189378,8.55456280708313


@MLGP_recorder@
@record_result@
train_sample_num,rmse,r2,time
32,275.9584347575125,-0.6498856734988382,4.055633544921875
64,238.2358025025043,-0.1948048228809847,5.60509467124939
96,224.8275696994651,-0.06503015752741031,6.979952335357666
128,221.3071588879054,-0.03624654707067409,8.729496002197266
