Task
Supervised Classification on kin8nm

Supervised Classification on kin8nm

Task 3672 Supervised Classification kin8nm 561 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.6888, kappa: 0.3918, kb_relative_information_score: 3173.5178, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7134, predictive_accuracy: 0.6945, prior_entropy: 0.9998, recall: 0.6945, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5024, root_relative_squared_error: 1.0049, scimark_benchmark: 938.9865, usercpu_time_millis: 370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.7424, kappa: 0.485, kb_relative_information_score: 2926.4544, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7428, predictive_accuracy: 0.7424, prior_entropy: 0.9998, recall: 0.7424, relative_absolute_error: 0.6699, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8321, scimark_benchmark: 936.6206, usercpu_time_millis: 3680, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.7445, kappa: 0.4891, kb_relative_information_score: 2926.6979, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7449, predictive_accuracy: 0.7445, prior_entropy: 0.9998, recall: 0.7445, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8301, scimark_benchmark: 924.6116, usercpu_time_millis: 1740, usercpu_time_millis_training: 1740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7449, kappa: 0.4899, kb_relative_information_score: 2918.9849, mean_absolute_error: 0.3355, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7453, predictive_accuracy: 0.7449, prior_entropy: 0.9998, recall: 0.7449, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8305, scimark_benchmark: 924.6116, usercpu_time_millis: 910, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.7408, kappa: 0.4819, kb_relative_information_score: 2867.7936, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7414, predictive_accuracy: 0.7408, prior_entropy: 0.9998, recall: 0.7408, relative_absolute_error: 0.6782, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8322, scimark_benchmark: 947.9494, usercpu_time_millis: 410, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.7323, kappa: 0.4647, kb_relative_information_score: 2649.4735, mean_absolute_error: 0.3528, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7326, predictive_accuracy: 0.7323, prior_entropy: 0.9998, recall: 0.7323, relative_absolute_error: 0.7059, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8468, scimark_benchmark: 931.2336, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3431, kb_relative_information_score: -0.0017, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.2589, predictive_accuracy: 0.5088, prior_entropy: 0.9998, recall: 0.5088, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, scimark_benchmark: 938.9865, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.7075, kappa: 0.4361, kb_relative_information_score: 2460.2161, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7512, predictive_accuracy: 0.7163, prior_entropy: 0.9998, recall: 0.7163, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8618, scimark_benchmark: 929.566, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.7345, kappa: 0.4693, kb_relative_information_score: 2703.9438, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7353, predictive_accuracy: 0.7345, prior_entropy: 0.9998, recall: 0.7345, relative_absolute_error: 0.6977, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.8485, scimark_benchmark: 943.6956, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.8287, kappa: 0.6575, kb_relative_information_score: 4411.0988, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8301, predictive_accuracy: 0.829, prior_entropy: 0.9998, recall: 0.829, relative_absolute_error: 0.4861, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.348, root_relative_squared_error: 0.6962, scimark_benchmark: 929.566, usercpu_time_millis: 1080, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.7172, kappa: 0.4349, kb_relative_information_score: 2454.7762, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.718, predictive_accuracy: 0.7173, prior_entropy: 0.9998, recall: 0.7173, relative_absolute_error: 0.7271, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8742, scimark_benchmark: 932.3943, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.7323, kappa: 0.4647, kb_relative_information_score: 2649.4735, mean_absolute_error: 0.3528, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7326, predictive_accuracy: 0.7323, prior_entropy: 0.9998, recall: 0.7323, relative_absolute_error: 0.7059, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8468, scimark_benchmark: 911.0478, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3431, kb_relative_information_score: 140.4121, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.2589, predictive_accuracy: 0.5088, prior_entropy: 0.9998, recall: 0.5088, relative_absolute_error: 0.9827, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7009, root_relative_squared_error: 1.4019, scimark_benchmark: 947.9494, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.7785, kappa: 0.5569, kb_relative_information_score: 3930.0455, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7786, predictive_accuracy: 0.7784, prior_entropy: 0.9998, recall: 0.7784, relative_absolute_error: 0.54, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8391, scimark_benchmark: 904.3001, usercpu_time_millis: 400, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.7906, kappa: 0.5812, kb_relative_information_score: 1939.779, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7906, predictive_accuracy: 0.7906, prior_entropy: 0.9998, recall: 0.7906, relative_absolute_error: 0.8053, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8418, scimark_benchmark: 943.2817, usercpu_time_millis: 22180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 22160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.6943, kappa: 0.3989, kb_relative_information_score: 1694.3556, mean_absolute_error: 0.4119, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7121, predictive_accuracy: 0.6982, prior_entropy: 0.9998, recall: 0.6982, relative_absolute_error: 0.8241, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9002, scimark_benchmark: 901.0726, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5231, f_measure: 0.3963, kappa: 0.047, kb_relative_information_score: 510.577, mean_absolute_error: 0.4686, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7022, predictive_accuracy: 0.5314, prior_entropy: 0.9998, recall: 0.5314, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6846, root_relative_squared_error: 1.3693, scimark_benchmark: 941.7954, usercpu_time_millis: 141730, usercpu_time_millis_testing: 13470, usercpu_time_millis_training: 128260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.7352, kappa: 0.4704, kb_relative_information_score: 3852.0656, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7353, predictive_accuracy: 0.7352, prior_entropy: 0.9998, recall: 0.7352, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5146, root_relative_squared_error: 1.0293, scimark_benchmark: 942.1229, usercpu_time_millis: 89440, usercpu_time_millis_testing: 7530, usercpu_time_millis_training: 81910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6938, f_measure: 0.682, kappa: 0.3817, kb_relative_information_score: 1616.1991, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7125, predictive_accuracy: 0.6892, prior_entropy: 0.9998, recall: 0.6892, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9154, scimark_benchmark: 942.1229, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8674, kappa: 0.7348, kb_relative_information_score: 6026.7266, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8675, predictive_accuracy: 0.8674, prior_entropy: 0.9998, recall: 0.8674, relative_absolute_error: 0.2642, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7186, scimark_benchmark: 945.3151, usercpu_time_millis: 54860, usercpu_time_millis_testing: 810, usercpu_time_millis_training: 54050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8771, kappa: 0.7541, kb_relative_information_score: 6172.8118, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8771, predictive_accuracy: 0.8771, prior_entropy: 0.9998, recall: 0.8771, relative_absolute_error: 0.2465, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.6971, scimark_benchmark: 770.3451, usercpu_time_millis: 104590, usercpu_time_millis_testing: 2550, usercpu_time_millis_training: 102040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.823, kappa: 0.6459, kb_relative_information_score: 5251.1247, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.823, predictive_accuracy: 0.823, prior_entropy: 0.9998, recall: 0.823, relative_absolute_error: 0.3598, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.7738, scimark_benchmark: 918.4924, usercpu_time_millis: 29880, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 29850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7255, kappa: 0.4546, kb_relative_information_score: 2758.2255, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7327, predictive_accuracy: 0.7267, prior_entropy: 0.9998, recall: 0.7267, relative_absolute_error: 0.6924, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.8654, scimark_benchmark: 930.32, usercpu_time_millis: 1490, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.7703, kappa: 0.5407, kb_relative_information_score: 3666.9623, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7707, predictive_accuracy: 0.7703, prior_entropy: 0.9998, recall: 0.7703, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.7915, scimark_benchmark: 902.4773, usercpu_time_millis: 4940, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 4880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.747, kappa: 0.4945, kb_relative_information_score: 2704.4451, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7482, predictive_accuracy: 0.7471, prior_entropy: 0.9998, recall: 0.7471, relative_absolute_error: 0.7021, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8249, scimark_benchmark: 923.9763, usercpu_time_millis: 90, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.7352, kappa: 0.4704, kb_relative_information_score: 3852.0656, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7353, predictive_accuracy: 0.7352, prior_entropy: 0.9998, recall: 0.7352, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5146, root_relative_squared_error: 1.0293, scimark_benchmark: 934.6252, usercpu_time_millis: 103900, usercpu_time_millis_testing: 10170, usercpu_time_millis_training: 93730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.7327, kappa: 0.4652, kb_relative_information_score: 3810.0469, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7327, predictive_accuracy: 0.7327, prior_entropy: 0.9998, recall: 0.7327, relative_absolute_error: 0.5348, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.517, root_relative_squared_error: 1.0342, scimark_benchmark: 934.5243, usercpu_time_millis: 490, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, build_cpu_time: 4.9577, build_memory: 1064331570.3164, f_measure: 0.7357, kappa: 0.4714, kb_relative_information_score: 2497.5178, mean_absolute_error: 0.3665, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7359, predictive_accuracy: 0.7357, prior_entropy: 0.9998, recall: 0.7357, relative_absolute_error: 0.7333, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8757, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, build_cpu_time: 5.9494, build_memory: 1666621025.126, f_measure: 0.7357, kappa: 0.4714, kb_relative_information_score: 2497.5178, mean_absolute_error: 0.3665, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7359, predictive_accuracy: 0.7357, prior_entropy: 0.9998, recall: 0.7357, relative_absolute_error: 0.7333, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8757, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, build_cpu_time: 5.6191, build_memory: 1632193654.7344, f_measure: 0.7357, kappa: 0.4714, kb_relative_information_score: 2497.5178, mean_absolute_error: 0.3665, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7359, predictive_accuracy: 0.7357, prior_entropy: 0.9998, recall: 0.7357, relative_absolute_error: 0.7333, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8757, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, build_cpu_time: 4.7416, build_memory: 1300011459.916, f_measure: 0.7357, kappa: 0.4714, kb_relative_information_score: 2497.5178, mean_absolute_error: 0.3665, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7359, predictive_accuracy: 0.7357, prior_entropy: 0.9998, recall: 0.7357, relative_absolute_error: 0.7333, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8757, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, build_cpu_time: 1.4956, build_memory: 859887582.3857, f_measure: 0.8195, kappa: 0.6389, kb_relative_information_score: 5048.7595, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8195, predictive_accuracy: 0.8195, prior_entropy: 0.9998, recall: 0.8195, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.7657, scimark_benchmark: 935.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, build_cpu_time: 3.8487, build_memory: 500634646.9297, f_measure: 0.84, kappa: 0.6799, kb_relative_information_score: 5483.145, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8401, predictive_accuracy: 0.84, prior_entropy: 0.9998, recall: 0.84, relative_absolute_error: 0.3331, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.7393, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, build_cpu_time: 6.74, build_memory: 66639979.4434, f_measure: 0.8561, kappa: 0.7121, kb_relative_information_score: 5778.3669, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8561, predictive_accuracy: 0.8561, prior_entropy: 0.9998, recall: 0.8561, relative_absolute_error: 0.2958, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7182, scimark_benchmark: 919.6575,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, build_cpu_time: 31.2393, build_memory: 761606356.2803, f_measure: 0.8727, kappa: 0.7453, kb_relative_information_score: 6109.5857, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8727, predictive_accuracy: 0.8727, prior_entropy: 0.9998, recall: 0.8727, relative_absolute_error: 0.2542, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.6951, scimark_benchmark: 941.7891,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, build_cpu_time: 26.3106, build_memory: 1442775376.0215, f_measure: 0.8397, kappa: 0.6794, kb_relative_information_score: 5268.0553, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8398, predictive_accuracy: 0.8397, prior_entropy: 0.9998, recall: 0.8397, relative_absolute_error: 0.3659, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7038, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, build_cpu_time: 18.5083, build_memory: 747713106.248, f_measure: 0.8312, kappa: 0.6623, kb_relative_information_score: 5080.8495, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8312, predictive_accuracy: 0.8312, prior_entropy: 0.9998, recall: 0.8312, relative_absolute_error: 0.3905, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.715, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, build_cpu_time: 9.6985, build_memory: 533176418.2285, f_measure: 0.8483, kappa: 0.6964, kb_relative_information_score: 5683.5174, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8483, predictive_accuracy: 0.8483, prior_entropy: 0.9998, recall: 0.8483, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.7523, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, build_cpu_time: 20.5706, build_memory: 349008622.6689, f_measure: 0.8593, kappa: 0.7184, kb_relative_information_score: 5884.9168, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8593, predictive_accuracy: 0.8593, prior_entropy: 0.9998, recall: 0.8593, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.7356, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, build_cpu_time: 42.2946, build_memory: 643293232.0957, f_measure: 0.8674, kappa: 0.7348, kb_relative_information_score: 6026.7266, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8675, predictive_accuracy: 0.8674, prior_entropy: 0.9998, recall: 0.8674, relative_absolute_error: 0.2642, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7186, scimark_benchmark: 914.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, build_cpu_time: 95.5408, build_memory: 1052393602.46, f_measure: 0.8771, kappa: 0.7541, kb_relative_information_score: 6172.8118, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8771, predictive_accuracy: 0.8771, prior_entropy: 0.9998, recall: 0.8771, relative_absolute_error: 0.2465, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.6971, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, build_cpu_time: 4.9339, build_memory: 1048035951.5488, f_measure: 0.8088, kappa: 0.6176, kb_relative_information_score: 5057.6101, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8089, predictive_accuracy: 0.8088, prior_entropy: 0.9998, recall: 0.8088, relative_absolute_error: 0.3826, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8745, scimark_benchmark: 942.0692,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, build_cpu_time: 90.64, build_memory: 2311029596.5215, f_measure: 0.8591, kappa: 0.7182, kb_relative_information_score: 5883.98, mean_absolute_error: 0.1409, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8592, predictive_accuracy: 0.8591, prior_entropy: 0.9998, recall: 0.8591, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7292, scimark_benchmark: 938.8854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, build_cpu_time: 47.4646, build_memory: 1416963095.0967, f_measure: 0.8477, kappa: 0.6953, kb_relative_information_score: 5663.2496, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8478, predictive_accuracy: 0.8477, prior_entropy: 0.9998, recall: 0.8477, relative_absolute_error: 0.3092, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7424, scimark_benchmark: 911.7126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, build_cpu_time: 24.6816, build_memory: 1432376908.6572, f_measure: 0.823, kappa: 0.6459, kb_relative_information_score: 5251.1247, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.823, predictive_accuracy: 0.823, prior_entropy: 0.9998, recall: 0.823, relative_absolute_error: 0.3598, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.7738, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, build_cpu_time: 1.6682, build_memory: 893487445.1631, f_measure: 0.7255, kappa: 0.4546, kb_relative_information_score: 2758.2255, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7327, predictive_accuracy: 0.7267, prior_entropy: 0.9998, recall: 0.7267, relative_absolute_error: 0.6924, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.8654, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, build_cpu_time: 3.9559, build_memory: 1235933369.7861, f_measure: 0.7703, kappa: 0.5407, kb_relative_information_score: 3666.9623, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7707, predictive_accuracy: 0.7703, prior_entropy: 0.9998, recall: 0.7703, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.7915, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, build_cpu_time: 0.0569, build_memory: 324924537.292, f_measure: 0.747, kappa: 0.4945, kb_relative_information_score: 2704.4451, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7482, predictive_accuracy: 0.7471, prior_entropy: 0.9998, recall: 0.7471, relative_absolute_error: 0.7021, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8249, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, build_cpu_time: 4.1056, build_memory: 686226056.7031, f_measure: 0.8481, kappa: 0.6962, kb_relative_information_score: 4267.7534, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8481, predictive_accuracy: 0.8481, prior_entropy: 0.9998, recall: 0.8481, relative_absolute_error: 0.5152, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6635, scimark_benchmark: 932.1837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, build_cpu_time: 3.07, build_memory: 625764199.9033, f_measure: 0.785, kappa: 0.5702, kb_relative_information_score: 3525.9945, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7864, predictive_accuracy: 0.7854, prior_entropy: 0.9998, recall: 0.7854, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8158, scimark_benchmark: 844.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, build_cpu_time: 0.0014, build_memory: 813313018.3428, f_measure: 0.8088, kappa: 0.6176, kb_relative_information_score: 5057.6101, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8089, predictive_accuracy: 0.8088, prior_entropy: 0.9998, recall: 0.8088, relative_absolute_error: 0.3826, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8745, scimark_benchmark: 920.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, build_cpu_time: 65.415, build_memory: 444358564.8848, f_measure: 0.7352, kappa: 0.4704, kb_relative_information_score: 3852.0656, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7353, predictive_accuracy: 0.7352, prior_entropy: 0.9998, recall: 0.7352, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5146, root_relative_squared_error: 1.0293, scimark_benchmark: 932.1837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, build_cpu_time: 1.931, build_memory: 819788835.3848, f_measure: 0.7357, kappa: 0.4714, kb_relative_information_score: 3860.0692, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7359, predictive_accuracy: 0.7357, prior_entropy: 0.9998, recall: 0.7357, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5141, root_relative_squared_error: 1.0283, scimark_benchmark: 940.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, build_cpu_time: 0.4538, build_memory: 838005918.6309, f_measure: 0.7327, kappa: 0.4652, kb_relative_information_score: 3810.0469, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7327, predictive_accuracy: 0.7327, prior_entropy: 0.9998, recall: 0.7327, relative_absolute_error: 0.5348, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.517, root_relative_squared_error: 1.0342, scimark_benchmark: 940.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, build_cpu_time: 0.1334, build_memory: 135194971.6543, f_measure: 0.7317, kappa: 0.4631, kb_relative_information_score: 2644.8264, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7317, predictive_accuracy: 0.7317, prior_entropy: 0.9998, recall: 0.7317, relative_absolute_error: 0.7064, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8403, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, build_cpu_time: 0.6181, build_memory: 954491196.709, f_measure: 0.8241, kappa: 0.6481, kb_relative_information_score: 4051.5255, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8241, predictive_accuracy: 0.8241, prior_entropy: 0.9998, recall: 0.8241, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7054, scimark_benchmark: 933.0871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, build_cpu_time: 0.6045, build_memory: 871278783.8252, f_measure: 0.8241, kappa: 0.6481, kb_relative_information_score: 4051.5255, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8241, predictive_accuracy: 0.8241, prior_entropy: 0.9998, recall: 0.8241, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7054, scimark_benchmark: 934.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, build_cpu_time: 0.2734, build_memory: 672333938.9375, f_measure: 0.7785, kappa: 0.5569, kb_relative_information_score: 3930.0455, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7786, predictive_accuracy: 0.7784, prior_entropy: 0.9998, recall: 0.7784, relative_absolute_error: 0.54, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8391, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, build_cpu_time: 0.2911, build_memory: 542748054.5371, f_measure: 0.7785, kappa: 0.5569, kb_relative_information_score: 3930.0455, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7786, predictive_accuracy: 0.7784, prior_entropy: 0.9998, recall: 0.7784, relative_absolute_error: 0.54, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8391, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, build_cpu_time: 0.2783, build_memory: 657085555.9834, f_measure: 0.7785, kappa: 0.5569, kb_relative_information_score: 3930.0455, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7786, predictive_accuracy: 0.7784, prior_entropy: 0.9998, recall: 0.7784, relative_absolute_error: 0.54, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8391, scimark_benchmark: 922.2602,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs