1) [128, 12, 12, 64, 1600, 266, 2400, 2400, 5760000, 3600.0, 21654.0, 6.015037593984962, 957600.0, 3600.0] => True True 2) [128, 12, 12, 64, 800, 533, 2868, 1607, 8225424, 10281.0, 15432.0, 1.5009380863039399, 5480188.74, 10281.0] => True True 3) [128, 12, 12, 64, 1600, 533, 2174, 2215, 4726276, 2953.0, 8867.0, 3.0018761726078798, 1574440.6925000001, 2953.0] => True True 4) [64, 64, 64, 64, 800, 533, 2582, 1940, 6666724, 8333.0, 12507.0, 1.5009380863039399, 4441704.865, 8333.0] => True True 5) [64, 64, 64, 64, 800, 533, 594, 446, 352836, 441.0, 661.0, 1.5009380863039399, 235076.98500000002, 441.0] => True True 6) [128, 12, 12, 64, 1600, 266, 594, 446, 352836, 220.0, 1326.0, 6.015037593984962, 58658.985, 220.0] => True True 7) [64, 64, 64, 64, 1600, 266, 1064, 629, 1132096, 707.0, 4256.0, 6.015037593984962, 188210.96000000002, 707.0] => True True 8) [16, 16, 16, 64, 1600, 266, 2422, 2066, 5866084, 3666.0, 22052.0, 6.015037593984962, 975236.4650000001, 3666.0] => False False 9) [64, 64, 64, 64, 1600, 266, 3710, 1686, 13764100, 8602.0, 51744.0, 6.015037593984962, 2288281.625, 8602.0] => False False 10) [16, 16, 16, 64, 1600, 533, 2422, 2066, 5866084, 3666.0, 11005.0, 3.0018761726078798, 1954139.2325000002, 3666.0] => False False 11) [128, 12, 12, 64, 1600, 266, 2582, 1940, 6666724, 4166.0, 25062.0, 6.015037593984962, 1108342.865, 4166.0] => True True 12) [64, 64, 64, 64, 800, 266, 2500, 1985, 6250000, 7812.0, 23496.0, 3.007518796992481, 2078125.0, 7812.0] => True True 13) [16, 16, 16, 64, 800, 266, 816, 612, 665856, 832.0, 2503.0, 3.007518796992481, 221397.12000000002, 832.0] => False False 14) [128, 12, 12, 64, 800, 533, 633, 921, 400689, 500.0, 751.0, 1.5009380863039399, 266959.04625, 500.0] => True True 15) [128, 12, 12, 64, 1600, 266, 2500, 1985, 6250000, 3906.0, 23496.0, 6.015037593984962, 1039062.5, 3906.0] => True True 16) [16, 16, 16, 64, 1600, 533, 2400, 2400, 5760000, 3600.0, 10806.0, 3.0018761726078798, 1918800.0, 3600.0] => False False 17) [16, 16, 16, 64, 800, 533, 3600, 1800, 12960000, 16200.0, 24315.0, 1.5009380863039399, 8634600.0, 16200.0] => False False 18) [64, 64, 64, 64, 800, 266, 3710, 1686, 13764100, 17205.0, 51744.0, 3.007518796992481, 4576563.25, 17205.0] => True True 19) [16, 16, 16, 64, 1600, 266, 2126, 2658, 4519876, 2824.0, 16992.0, 6.015037593984962, 751429.385, 2824.0] => False False 20) [16, 16, 16, 64, 1600, 533, 1232, 820, 1517824, 948.0, 2847.0, 3.0018761726078798, 505625.12000000005, 948.0] => False False Model RMSE = 0.0 Prediction rate = 100.000% Mispredictions = 0 out of 20