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


@MLGP_recorder@
@record_result@
train_sample_num,rmse,r2,time
32,228.57181304581763,-0.1121461791489156,5.583505153656006
64,219.7927801790522,-0.02296819799752053,9.399638652801514
96,217.47286759025127,-0.005557422820399146,13.633773803710938
128,217.42224556536405,-0.0034893600721066895,18.53991198539734


@MLGP_recorder@
@record_result@
train_sample_num,rmse,r2,time
32,219.58805582847785,-0.02168655601294987,5.611459970474243
64,218.82130127293297,-0.015832898704725096,9.458001136779785
96,218.15042310322875,-0.00969894586666164,13.373172998428345
128,218.04903440730337,-0.008576966644154521,17.95296621322632


@MLGP_recorder@
@record_result@
train_sample_num,rmse,r2,time
32,252.3463474040093,-0.3757089050414374,5.448253154754639
64,226.9614018741769,-0.10431460302698897,9.444293975830078
96,220.6449847630849,-0.03337398925548016,13.319386959075928
128,219.17878397988366,-0.019170398428064117,17.94458508491516


@MLGP_recorder@
@record_result@
train_sample_num,rmse,r2,time
32,229.0946705021185,-0.10033707301932296,5.290152072906494
64,218.89204805806708,-0.015500367298199737,9.450439929962158
96,218.34583187095825,-0.013689827683885101,13.579792976379395
128,217.93603731822873,-0.007686287324043704,18.077866077423096


@MLGP_recorder@
@record_result@
train_sample_num,rmse,r2,time
32,218.1892182144061,-0.011302997014014403,5.507022142410278
64,217.8502463534054,-0.008979848291943992,9.617501974105835
96,219.88639237940183,-0.027791189485182867,13.573427200317383
128,219.06389611516263,-0.02005312165599993,18.024329900741577
