OpenML
Supervised Classification on cmc

Supervised Classification on cmc

Task 253 Supervised Classification cmc 299 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.4906, kappa: 0.2214, kb_relative_information_score: 99.8549, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5308, predictive_accuracy: 0.4794, prior_entropy: 1.5392, recall: 0.4794, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9566, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.4906, kappa: 0.2214, kb_relative_information_score: 99.8549, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5308, predictive_accuracy: 0.4794, prior_entropy: 1.5392, recall: 0.4794, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9566, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, f_measure: 0.4994, kappa: 0.2361, kb_relative_information_score: 105.3674, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.539, predictive_accuracy: 0.4877, prior_entropy: 1.5392, recall: 0.4877, relative_absolute_error: 0.8584, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9839, scimark_benchmark: 1315.933, usercpu_time_millis: 1190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.4906, kappa: 0.2214, kb_relative_information_score: 99.8549, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5308, predictive_accuracy: 0.4794, prior_entropy: 1.5392, recall: 0.4794, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9566, scimark_benchmark: 1350.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.4994, kappa: 0.2361, kb_relative_information_score: 106.3845, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.539, predictive_accuracy: 0.4877, prior_entropy: 1.5392, recall: 0.4877, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9847, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6858, f_measure: 0.5269, kappa: 0.2629, kb_relative_information_score: 105.4937, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5299, predictive_accuracy: 0.5247, prior_entropy: 1.5392, recall: 0.5247, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9755, scimark_benchmark: 1318.6149, usercpu_time_millis: 4090, usercpu_time_millis_testing: 4090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.47, kappa: 0.179, kb_relative_information_score: 93.9252, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4967, predictive_accuracy: 0.465, prior_entropy: 1.5392, recall: 0.465, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9854, scimark_benchmark: 1350.2369, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.47, kappa: 0.179, kb_relative_information_score: 93.9252, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4967, predictive_accuracy: 0.465, prior_entropy: 1.5392, recall: 0.465, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9854, scimark_benchmark: 1327.035, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6521, f_measure: 0.4851, kappa: 0.2074, kb_relative_information_score: 94.7978, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5119, predictive_accuracy: 0.5, prior_entropy: 1.5392, recall: 0.5, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9824, scimark_benchmark: 1342.4239, usercpu_time_millis: 510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, f_measure: 0.5148, kappa: 0.2414, kb_relative_information_score: 107.3319, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5164, predictive_accuracy: 0.5144, prior_entropy: 1.5392, recall: 0.5144, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9969, scimark_benchmark: 926.6704, usercpu_time_millis: 480, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.47, kappa: 0.179, kb_relative_information_score: 93.9252, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4967, predictive_accuracy: 0.465, prior_entropy: 1.5392, recall: 0.465, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9854, scimark_benchmark: 1348.7888, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7297, f_measure: 0.5416, kappa: 0.2837, kb_relative_information_score: 111.9307, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5452, predictive_accuracy: 0.5391, prior_entropy: 1.5392, recall: 0.5391, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.9243, scimark_benchmark: 1327.2954, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.47, kappa: 0.179, kb_relative_information_score: 93.9252, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4967, predictive_accuracy: 0.465, prior_entropy: 1.5392, recall: 0.465, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9854, scimark_benchmark: 1331.2332, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7075, f_measure: 0.5039, kappa: 0.2279, kb_relative_information_score: 67.8776, mean_absolute_error: 0.3943, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5045, predictive_accuracy: 0.5165, prior_entropy: 1.5392, recall: 0.5165, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.9444, scimark_benchmark: 1261.7298, usercpu_time_millis: 200, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.5379, kappa: 0.2816, kb_relative_information_score: 120.5075, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5421, predictive_accuracy: 0.535, prior_entropy: 1.5392, recall: 0.535, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.9289, scimark_benchmark: 961.21, usercpu_time_millis: 460, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.4994, kappa: 0.2361, kb_relative_information_score: 106.3845, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.539, predictive_accuracy: 0.4877, prior_entropy: 1.5392, recall: 0.4877, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9847, scimark_benchmark: 1334.2813, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5042, f_measure: 0.2989, kappa: 0.0098, kb_relative_information_score: 77.3292, mean_absolute_error: 0.3759, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4236, predictive_accuracy: 0.4362, prior_entropy: 1.5392, recall: 0.4362, relative_absolute_error: 0.8757, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.6131, root_relative_squared_error: 1.326, scimark_benchmark: 1268.9931, usercpu_time_millis: 450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, f_measure: 0.2654, kappa: 0.0003, kb_relative_information_score: 4.6573, mean_absolute_error: 0.4439, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.1907, predictive_accuracy: 0.4362, prior_entropy: 1.5392, recall: 0.4362, relative_absolute_error: 1.0342, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4708, root_relative_squared_error: 1.0183, scimark_benchmark: 1340.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6148, f_measure: 0.5055, kappa: 0.2347, kb_relative_information_score: 150.0022, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5249, predictive_accuracy: 0.5309, prior_entropy: 1.5392, recall: 0.5309, relative_absolute_error: 0.7287, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.5592, root_relative_squared_error: 1.2096, scimark_benchmark: 1264.0609, usercpu_time_millis: 1690, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.5275, kappa: 0.2647, kb_relative_information_score: 71.174, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5248, predictive_accuracy: 0.537, prior_entropy: 1.5392, recall: 0.537, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.9392, scimark_benchmark: 1334.4761, usercpu_time_millis: 810, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7151, f_measure: 0.5187, kappa: 0.2512, kb_relative_information_score: 71.1143, mean_absolute_error: 0.3915, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5161, predictive_accuracy: 0.5288, prior_entropy: 1.5392, recall: 0.5288, relative_absolute_error: 0.9121, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.9397, scimark_benchmark: 1275.9462, usercpu_time_millis: 460, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7306, f_measure: 0.5453, kappa: 0.2913, kb_relative_information_score: 118.4966, mean_absolute_error: 0.3528, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5513, predictive_accuracy: 0.5412, prior_entropy: 1.5392, recall: 0.5412, relative_absolute_error: 0.8221, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9262, scimark_benchmark: 1339.8573, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7338, f_measure: 0.5439, kappa: 0.2886, kb_relative_information_score: 118.1928, mean_absolute_error: 0.3533, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5476, predictive_accuracy: 0.5412, prior_entropy: 1.5392, recall: 0.5412, relative_absolute_error: 0.8231, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.9229, scimark_benchmark: 1311.1837, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.543, kappa: 0.2875, kb_relative_information_score: 107.1705, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5429, predictive_accuracy: 0.5432, prior_entropy: 1.5392, recall: 0.5432, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.9383, scimark_benchmark: 1337.6765, usercpu_time_millis: 300, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.5423, kappa: 0.2893, kb_relative_information_score: 106.93, mean_absolute_error: 0.3644, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5425, predictive_accuracy: 0.5432, prior_entropy: 1.5392, recall: 0.5432, relative_absolute_error: 0.849, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.9543, scimark_benchmark: 1307.3764, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6629, f_measure: 0.5627, kappa: 0.3204, kb_relative_information_score: 180.4974, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5651, predictive_accuracy: 0.5741, prior_entropy: 1.5392, recall: 0.5741, relative_absolute_error: 0.6616, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.5329, root_relative_squared_error: 1.1525, scimark_benchmark: 1318.5627, usercpu_time_millis: 760, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.4906, kappa: 0.2214, kb_relative_information_score: 99.8549, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5308, predictive_accuracy: 0.4794, prior_entropy: 1.5392, recall: 0.4794, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9566, scimark_benchmark: 1248.0234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5829, f_measure: 0.4059, kappa: 0.0744, kb_relative_information_score: 69.6944, mean_absolute_error: 0.3924, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.404, predictive_accuracy: 0.4095, prior_entropy: 1.5392, recall: 0.4095, relative_absolute_error: 0.9142, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.5152, root_relative_squared_error: 1.1143, scimark_benchmark: 1384.8417, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5829, f_measure: 0.4059, kappa: 0.0744, kb_relative_information_score: 69.6944, mean_absolute_error: 0.3924, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.404, predictive_accuracy: 0.4095, prior_entropy: 1.5392, recall: 0.4095, relative_absolute_error: 0.9142, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.5152, root_relative_squared_error: 1.1143, scimark_benchmark: 1360.2771, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.47, kappa: 0.179, kb_relative_information_score: 93.9252, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4967, predictive_accuracy: 0.465, prior_entropy: 1.5392, recall: 0.465, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9854, scimark_benchmark: 1319.9329, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, f_measure: 0.5128, kappa: 0.2606, kb_relative_information_score: 102.0942, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5488, predictive_accuracy: 0.5041, prior_entropy: 1.5392, recall: 0.5041, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.9878, scimark_benchmark: 1358.4523, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.5128, kappa: 0.2606, kb_relative_information_score: 101.8926, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5488, predictive_accuracy: 0.5041, prior_entropy: 1.5392, recall: 0.5041, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.9878, scimark_benchmark: 1301.9176, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.5266, kappa: 0.2657, kb_relative_information_score: 71.7798, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5263, predictive_accuracy: 0.5288, prior_entropy: 1.5392, recall: 0.5288, relative_absolute_error: 0.9169, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.9509, scimark_benchmark: 1334.9657, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, f_measure: 0.4775, kappa: 0.1911, kb_relative_information_score: 115.8587, mean_absolute_error: 0.3562, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4829, predictive_accuracy: 0.5, prior_entropy: 1.5392, recall: 0.5, relative_absolute_error: 0.8298, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4899, root_relative_squared_error: 1.0596, scimark_benchmark: 1413.089, usercpu_time_millis: 5400, usercpu_time_millis_training: 5400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6819, f_measure: 0.5134, kappa: 0.2437, kb_relative_information_score: 89.3012, mean_absolute_error: 0.3797, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5124, predictive_accuracy: 0.5165, prior_entropy: 1.5392, recall: 0.5165, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.9557, scimark_benchmark: 1333.5799, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5654, f_measure: 0.4304, kappa: 0.1141, kb_relative_information_score: 92.0259, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4315, predictive_accuracy: 0.43, prior_entropy: 1.5392, recall: 0.43, relative_absolute_error: 0.8799, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.6026, root_relative_squared_error: 1.3034, scimark_benchmark: 1307.3269, usercpu_time_millis: 130, usercpu_time_millis_testing: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5621, f_measure: 0.4373, kappa: 0.1242, kb_relative_information_score: 92.3833, mean_absolute_error: 0.3759, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4385, predictive_accuracy: 0.4362, prior_entropy: 1.5392, recall: 0.4362, relative_absolute_error: 0.8757, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.6131, root_relative_squared_error: 1.326, scimark_benchmark: 1367.8403, usercpu_time_millis: 300, usercpu_time_millis_testing: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.265, kb_relative_information_score: 0.6612, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.1903, predictive_accuracy: 0.4362, prior_entropy: 1.5392, recall: 0.4362, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4625, root_relative_squared_error: 1.0003, scimark_benchmark: 1264.6103, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6326, f_measure: 0.5204, kappa: 0.2574, kb_relative_information_score: 149.7223, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5444, predictive_accuracy: 0.5226, prior_entropy: 1.5392, recall: 0.5226, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.5641, root_relative_squared_error: 1.2201, scimark_benchmark: 977.6382, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.265, kb_relative_information_score: 0.7717, mean_absolute_error: 0.4301, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.1903, predictive_accuracy: 0.4362, prior_entropy: 1.5392, recall: 0.4362, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4625, root_relative_squared_error: 1.0003, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, f_measure: 0.4845, kappa: 0.1928, kb_relative_information_score: 106.7478, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4845, predictive_accuracy: 0.4856, prior_entropy: 1.5392, recall: 0.4856, relative_absolute_error: 0.8462, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4868, root_relative_squared_error: 1.0528, scimark_benchmark: 1066.833, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6056, build_cpu_time: 1.05, build_memory: 103660544, f_measure: 0.4886, kappa: 0.2059, kb_relative_information_score: 5.9053, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4931, predictive_accuracy: 0.4856, prior_entropy: 1.5392, recall: 0.4856, relative_absolute_error: 1.0317, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4697, root_relative_squared_error: 1.0159, scimark_benchmark: 943.0278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6056, build_cpu_time: 0.998, build_memory: 287258856, f_measure: 0.4886, kappa: 0.2059, kb_relative_information_score: 5.9053, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4931, predictive_accuracy: 0.4856, prior_entropy: 1.5392, recall: 0.4856, relative_absolute_error: 1.0317, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4697, root_relative_squared_error: 1.0159, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6056, build_cpu_time: 1.408, build_memory: 619424040, f_measure: 0.4886, kappa: 0.2059, kb_relative_information_score: 5.9053, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4931, predictive_accuracy: 0.4856, prior_entropy: 1.5392, recall: 0.4856, relative_absolute_error: 1.0317, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4697, root_relative_squared_error: 1.0159, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6056, build_cpu_time: 1.134, build_memory: 1334177320, f_measure: 0.4886, kappa: 0.2059, kb_relative_information_score: 5.9053, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4931, predictive_accuracy: 0.4856, prior_entropy: 1.5392, recall: 0.4856, relative_absolute_error: 1.0317, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4697, root_relative_squared_error: 1.0159, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6056, build_cpu_time: 1.304, build_memory: 613978584, f_measure: 0.4886, kappa: 0.2059, kb_relative_information_score: 5.9053, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4931, predictive_accuracy: 0.4856, prior_entropy: 1.5392, recall: 0.4856, relative_absolute_error: 1.0317, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4697, root_relative_squared_error: 1.0159, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, build_cpu_time: 0.062, build_memory: 991456152, f_measure: 0.512, kappa: 0.2365, kb_relative_information_score: 67.0636, mean_absolute_error: 0.3978, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5129, predictive_accuracy: 0.5123, prior_entropy: 1.5392, recall: 0.5123, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.9575, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, build_cpu_time: 0.061, build_memory: 282037096, f_measure: 0.512, kappa: 0.2365, kb_relative_information_score: 67.0636, mean_absolute_error: 0.3978, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5129, predictive_accuracy: 0.5123, prior_entropy: 1.5392, recall: 0.5123, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.9575, scimark_benchmark: 926.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, build_cpu_time: 0.041, build_memory: 1254586440, f_measure: 0.512, kappa: 0.2365, kb_relative_information_score: 67.0636, mean_absolute_error: 0.3978, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5129, predictive_accuracy: 0.5123, prior_entropy: 1.5392, recall: 0.5123, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.9575, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, build_cpu_time: 0.074, build_memory: 1442028272, f_measure: 0.512, kappa: 0.2365, kb_relative_information_score: 67.0636, mean_absolute_error: 0.3978, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5129, predictive_accuracy: 0.5123, prior_entropy: 1.5392, recall: 0.5123, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.9575, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, build_cpu_time: 0.048, build_memory: 597799128, f_measure: 0.512, kappa: 0.2365, kb_relative_information_score: 67.0636, mean_absolute_error: 0.3978, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5129, predictive_accuracy: 0.5123, prior_entropy: 1.5392, recall: 0.5123, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.9575, scimark_benchmark: 895.3841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6504, build_cpu_time: 0.128, build_memory: 401417704, f_measure: 0.4965, kappa: 0.2133, kb_relative_information_score: 132.5489, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4954, predictive_accuracy: 0.4979, prior_entropy: 1.5392, recall: 0.4979, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.5511, root_relative_squared_error: 1.192, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6504, build_cpu_time: 0.212, build_memory: 2126941848, f_measure: 0.4965, kappa: 0.2133, kb_relative_information_score: 132.5489, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4954, predictive_accuracy: 0.4979, prior_entropy: 1.5392, recall: 0.4979, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.5511, root_relative_squared_error: 1.192, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6504, build_cpu_time: 0.134, build_memory: 2238569480, f_measure: 0.4965, kappa: 0.2133, kb_relative_information_score: 132.5489, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4954, predictive_accuracy: 0.4979, prior_entropy: 1.5392, recall: 0.4979, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.5511, root_relative_squared_error: 1.192, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6502, build_cpu_time: 0.133, build_memory: 1944177912, f_measure: 0.4965, kappa: 0.2133, kb_relative_information_score: 132.2193, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4954, predictive_accuracy: 0.4979, prior_entropy: 1.5392, recall: 0.4979, relative_absolute_error: 0.7884, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.551, root_relative_squared_error: 1.1917, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6497, build_cpu_time: 0.069, build_memory: 1207666032, f_measure: 0.4943, kappa: 0.2114, kb_relative_information_score: 131.3267, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4932, predictive_accuracy: 0.4959, prior_entropy: 1.5392, recall: 0.4959, relative_absolute_error: 0.7903, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.5503, root_relative_squared_error: 1.1902, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, build_cpu_time: 2.631, build_memory: 1237993896, f_measure: 0.4965, kappa: 0.2127, kb_relative_information_score: 137.6692, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4942, predictive_accuracy: 0.5, prior_entropy: 1.5392, recall: 0.5, relative_absolute_error: 0.7715, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.5564, root_relative_squared_error: 1.2034, scimark_benchmark: 939.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6555, build_cpu_time: 4.792, build_memory: 1650234968, f_measure: 0.5082, kappa: 0.231, kb_relative_information_score: 138.6768, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5067, predictive_accuracy: 0.5103, prior_entropy: 1.5392, recall: 0.5103, relative_absolute_error: 0.7693, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.5556, root_relative_squared_error: 1.2017, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6552, build_cpu_time: 4.906, build_memory: 2079774000, f_measure: 0.5082, kappa: 0.231, kb_relative_information_score: 138.7354, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5067, predictive_accuracy: 0.5103, prior_entropy: 1.5392, recall: 0.5103, relative_absolute_error: 0.7692, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.5555, root_relative_squared_error: 1.2016, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6552, build_cpu_time: 6.562, build_memory: 262961584, f_measure: 0.5082, kappa: 0.231, kb_relative_information_score: 138.7354, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5067, predictive_accuracy: 0.5103, prior_entropy: 1.5392, recall: 0.5103, relative_absolute_error: 0.7692, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.5555, root_relative_squared_error: 1.2016, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6552, build_cpu_time: 5.496, build_memory: 1604654800, f_measure: 0.5082, kappa: 0.231, kb_relative_information_score: 138.7354, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5067, predictive_accuracy: 0.5103, prior_entropy: 1.5392, recall: 0.5103, relative_absolute_error: 0.7692, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.5555, root_relative_squared_error: 1.2016, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5422, build_cpu_time: 0.006, build_memory: 1540545864, f_measure: 0.4135, kappa: 0.0836, kb_relative_information_score: 76.9084, mean_absolute_error: 0.3882, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4129, predictive_accuracy: 0.4177, prior_entropy: 1.5392, recall: 0.4177, relative_absolute_error: 0.9045, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.6231, root_relative_squared_error: 1.3476, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5422, build_cpu_time: 0.005, build_memory: 300191624, f_measure: 0.4135, kappa: 0.0836, kb_relative_information_score: 76.9084, mean_absolute_error: 0.3882, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4129, predictive_accuracy: 0.4177, prior_entropy: 1.5392, recall: 0.4177, relative_absolute_error: 0.9045, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.6231, root_relative_squared_error: 1.3476, scimark_benchmark: 925.481,

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

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From your own software

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

OpenML APIs