[0.3, 0.1, 0.01, 0.2, 0.1, 0.0050, 0.01, 0.3, 0.1, 0.01, 0.2, 0.1, 0.0050, 0.1, -0.05, 0.01, 0.3, 0.01, -0.3, -0.1, -0.01, -0.2, -0.1, -0.0050, -0.01, -0.3, -0.1, -0.01, -0.2, -0.1, -0.0050, -0.1, 0.05, -0.01, -0.3, -0.01]
After Random Train:
[0.3, 0.21098499193746126, 0.0736208261385436, 0.1559738755142759, 0.09832468611179977, 0.09561320675556126, 0.015359728662418129, 0.3, 0.17333514300462616, 0.019062093861259597, 0.1616016656423007, 0.08151387016253173, 0.01217647619581826, 0.35096385986041256, -0.0884343332345685, 0.13677628385256607, 0.29092150672455996, -0.05633160050592705, -0.3045989683382678, -0.09326589325971238, -0.004214417853133282, -0.19475591535747241, -0.10169570103110995, -0.02068901131408001, 0.005673374453857793, -0.3008700517088565, -0.08595307453777605, 0.013898765900846063, -0.17839149134400278, -0.09503534905481711, -0.0041164268724928725, -0.0747654635107424, -0.02541009378136699, -0.02293328996392633, -0.3186780143779247, -0.029756318856643857]
After depth 3 train:
[0.2999199503697298, 0.2617546478480122, 0.020986323467559215, 0.07486713832139355, 0.08402908278196661, 0.19722043688095373, 0.020274371002095743, 0.2999808358535445, 0.22842688365295577, -0.08461609004886965, 0.162990247008483, 0.0029099831161092985, 0.0487804513207902, 0.505751537499686, 5.502634559829979E-4, 0.12774964890636448, 0.27007060332400556, -0.02999287776909105, -0.30149638983987664, -0.17437249639420677, -0.07321497127742799, -0.10430147036735074, -0.07960296646831101, -0.04087486631205164, -0.015244110194704197, -0.28727349683909675, -0.039917639051771446, 0.0254278044340244, -0.15152385656867218, -0.09012109678033367, -0.050654329136604184, -0.11336660890137432, -0.019922274445086596, -0.05980521164223335, -0.3067181596209897, 0.04726842307697075]
After depth 4 training:
[0.2998119356818568, 0.25448247440116084, -0.025606108039356174, 0.0685941560155895, 0.06442344261277844, 0.11610906482761948, 0.034596885604770804, 0.29989538460043647, 0.2523256997938178, -0.07000221769185648, 0.15146816142017647, 0.009921345994929468, 0.05052534481402264, 0.566071601868591, -0.07583954413413395, 0.12985333969775506, 0.2564920153293465, -0.00612935841113467, -0.30108672283729987, -0.13097127547529291, -0.034729657652847475, -0.10989469595474177, -0.07206759280013648, -0.07818284745285335, 0.028630640089033804, -0.2878976684448721, -0.06430771533563445, 0.0035510922255653074, -0.14398165040369573, -0.0850359047407892, -0.05031661344709164, -0.015642399530259473, -0.009637343081788107, -0.061963249252816474, -0.3240823958287018, -0.011757148305430516]
After depth 5 training:
[0.2997276702793689, 0.21195494958253844, -0.048804950032271255, 0.08011957294621162, 0.07412644619641476, 0.15488881799190507, -0.017455683511742034, 0.2998302867462637, 0.23996770021166342, -0.06135229518187271, 0.13018858214998488, 0.04276063069913699, 0.06472428262083595, 0.49505422296997736, -0.09031910236017411, 0.10029386146846875, 0.18287028436263833, 0.057349953099917056, -0.30535926412176123, -0.11555737294700832, 0.007115822479406741, -0.09445253782388381, -0.06710164949147308, -0.0776541031886797, -0.0071164494164202155, -0.2885037831122956, -0.07154804954314813, 0.02380907817620982, -0.11627692170655456, -0.08405145636177573, -0.04689178829750621, -0.014146547583848347, -0.01977976253744121, -0.0476266071845959, -0.34126197839066413, -0.009057123969510607]
