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: 0.6552, 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: 0.6547, 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: 0.6504, 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: 0.5422, 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: 0.003, build_memory: 2019985496, 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: 937.9119,
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: 0.6555, 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: 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: 0.6497, 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: 0.6502, 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: 0.5544, f_measure: 0.265, kb_relative_information_score: 29.2982, mean_absolute_error: 0.4096, 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: 0.9543, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9774, scimark_benchmark: 1372.2145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, f_measure: 0.265, kb_relative_information_score: 29.2982, mean_absolute_error: 0.4096, 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: 0.9543, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9774, scimark_benchmark: 942.9518, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, f_measure: 0.265, kb_relative_information_score: 29.2982, mean_absolute_error: 0.4096, 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: 0.9543, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9774, scimark_benchmark: 932.0242, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, f_measure: 0.265, kb_relative_information_score: 29.2982, mean_absolute_error: 0.4096, 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: 0.9543, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9774, scimark_benchmark: 918.6005, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 0.6667, f_measure: 0.5067, kappa: 0.2327, kb_relative_information_score: 130.533, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5077, predictive_accuracy: 0.5062, prior_entropy: 1.5392, recall: 0.5062, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4893, root_relative_squared_error: 1.0582, scimark_benchmark: 1466.6185, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
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: 825.5282, usercpu_time_millis: 1090, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6251, f_measure: 0.4886, kappa: 0.2059, kb_relative_information_score: 101.1431, mean_absolute_error: 0.3818, 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: 0.8896, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4816, root_relative_squared_error: 1.0417, scimark_benchmark: 939.449, usercpu_time_millis: 660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6662, f_measure: 0.4855, kappa: 0.1982, kb_relative_information_score: 68.3438, mean_absolute_error: 0.3956, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.484, predictive_accuracy: 0.4897, prior_entropy: 1.5392, recall: 0.4897, relative_absolute_error: 0.9216, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.9635, scimark_benchmark: 880.8372, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
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: 1250.8301, usercpu_time_millis: 450, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.5442, kappa: 0.2959, kb_relative_information_score: 96.7236, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5611, predictive_accuracy: 0.537, prior_entropy: 1.5392, recall: 0.537, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.432, root_relative_squared_error: 0.9344, scimark_benchmark: 1361.1055, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.728, f_measure: 0.5371, kappa: 0.2753, kb_relative_information_score: 102.6374, mean_absolute_error: 0.3666, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5413, predictive_accuracy: 0.537, prior_entropy: 1.5392, recall: 0.537, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.9243, scimark_benchmark: 937.1527, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5219, f_measure: 0.265, kb_relative_information_score: 69.1476, mean_absolute_error: 0.3969, 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: 0.9247, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0787, scimark_benchmark: 1318.5526, usercpu_time_millis: 2720, usercpu_time_millis_testing: 780, usercpu_time_millis_training: 1940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6079, f_measure: 0.469, kappa: 0.1703, kb_relative_information_score: 89.8952, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4661, predictive_accuracy: 0.4733, prior_entropy: 1.5392, recall: 0.4733, relative_absolute_error: 0.8877, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0852, scimark_benchmark: 942.9518, usercpu_time_millis: 190, usercpu_time_millis_testing: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.5035, kappa: 0.2246, kb_relative_information_score: 92.7241, mean_absolute_error: 0.3741, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5002, predictive_accuracy: 0.5082, prior_entropy: 1.5392, recall: 0.5082, relative_absolute_error: 0.8717, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9862, scimark_benchmark: 1280.6952, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5851, f_measure: 0.4579, kappa: 0.1557, kb_relative_information_score: 110.2435, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4574, predictive_accuracy: 0.4588, prior_entropy: 1.5392, recall: 0.4588, relative_absolute_error: 0.8393, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.5866, root_relative_squared_error: 1.2687, scimark_benchmark: 1319.9043, 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: 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: 0.5042, 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: 0.668, 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: 0.7075, 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: 0.6643, 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: 0.6643, 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: 0.6858, 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: 0.6893, 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: 0.6975, 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: 1347.917,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, build_cpu_time: 0.004, build_memory: 1837701776, f_measure: 0.4988, kappa: 0.2295, kb_relative_information_score: 95.9237, mean_absolute_error: 0.3733, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5291, predictive_accuracy: 0.4897, prior_entropy: 1.5392, recall: 0.4897, relative_absolute_error: 0.8697, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.953, scimark_benchmark: 918.4301,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6251, build_cpu_time: 0.239, build_memory: 159141128, f_measure: 0.4886, kappa: 0.2059, kb_relative_information_score: 101.1431, mean_absolute_error: 0.3818, 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: 0.8896, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4816, root_relative_squared_error: 1.0417, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, build_cpu_time: 0.045, build_memory: 281477336, f_measure: 0.5248, kappa: 0.2657, kb_relative_information_score: 76.7627, mean_absolute_error: 0.3889, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.551, predictive_accuracy: 0.5473, prior_entropy: 1.5392, recall: 0.5473, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4466, root_relative_squared_error: 0.966, scimark_benchmark: 920.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5654, build_memory: 142628440, 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: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5206, build_cpu_time: 1.032, build_memory: 441598000, f_measure: 0.265, kb_relative_information_score: 68.7676, mean_absolute_error: 0.3973, 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: 0.9258, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0797, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6404, build_cpu_time: 0.032, build_memory: 2060898952, f_measure: 0.5196, kappa: 0.2694, kb_relative_information_score: 10.0508, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5555, predictive_accuracy: 0.5103, prior_entropy: 1.5392, recall: 0.5103, relative_absolute_error: 1.0265, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4676, root_relative_squared_error: 1.0112, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5422, build_cpu_time: 0.002, build_memory: 1062638048, 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: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6404, build_cpu_time: 0.035, build_memory: 704323728, f_measure: 0.5196, kappa: 0.2694, kb_relative_information_score: 10.0508, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5555, predictive_accuracy: 0.5103, prior_entropy: 1.5392, recall: 0.5103, relative_absolute_error: 1.0265, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4676, root_relative_squared_error: 1.0112, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6404, build_cpu_time: 0.051, build_memory: 167159560, f_measure: 0.5196, kappa: 0.2694, kb_relative_information_score: 10.0508, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5555, predictive_accuracy: 0.5103, prior_entropy: 1.5392, recall: 0.5103, relative_absolute_error: 1.0265, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4676, root_relative_squared_error: 1.0112, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6404, build_cpu_time: 0.031, build_memory: 259513624, f_measure: 0.5196, kappa: 0.2694, kb_relative_information_score: 10.0508, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5555, predictive_accuracy: 0.5103, prior_entropy: 1.5392, recall: 0.5103, relative_absolute_error: 1.0265, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4676, root_relative_squared_error: 1.0112, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5422, build_cpu_time: 0.002, build_memory: 490151224, 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: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6798, build_cpu_time: 1.036, build_memory: 30456528, f_measure: 0.4268, kappa: 0.1793, kb_relative_information_score: 41.9249, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4607, predictive_accuracy: 0.4856, prior_entropy: 1.5392, recall: 0.4856, relative_absolute_error: 0.9434, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.9666, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6404, build_cpu_time: 0.052, build_memory: 1342453368, f_measure: 0.5196, kappa: 0.2694, kb_relative_information_score: 10.0508, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5555, predictive_accuracy: 0.5103, prior_entropy: 1.5392, recall: 0.5103, relative_absolute_error: 1.0265, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4676, root_relative_squared_error: 1.0112, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6798, build_cpu_time: 0.991, build_memory: 666304288, f_measure: 0.4268, kappa: 0.1793, kb_relative_information_score: 41.9249, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4607, predictive_accuracy: 0.4856, prior_entropy: 1.5392, recall: 0.4856, relative_absolute_error: 0.9434, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.9666, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6599, build_cpu_time: 34.257, build_memory: 965931896, f_measure: 0.5034, kappa: 0.2288, kb_relative_information_score: 96.6249, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5086, predictive_accuracy: 0.5, prior_entropy: 1.5392, recall: 0.5, relative_absolute_error: 0.8904, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9977, scimark_benchmark: 946.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5412, build_cpu_time: 0.001, build_memory: 1110397192, f_measure: 0.4048, kappa: 0.0787, kb_relative_information_score: 82.6643, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4005, predictive_accuracy: 0.4342, prior_entropy: 1.5392, recall: 0.4342, relative_absolute_error: 0.8789, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.6142, root_relative_squared_error: 1.3284, scimark_benchmark: 893.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6819, build_cpu_time: 0.51, build_memory: 6661912, 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: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5608, build_cpu_time: 4.667, build_memory: 1187097312, f_measure: 0.4304, kappa: 0.1141, kb_relative_information_score: 87.7745, mean_absolute_error: 0.3809, 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: 0.8874, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.6091, root_relative_squared_error: 1.3173, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, build_cpu_time: 18.289, build_memory: 680665544, f_measure: 0.5219, kappa: 0.2518, kb_relative_information_score: 152.3789, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5204, predictive_accuracy: 0.5247, prior_entropy: 1.5392, recall: 0.5247, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0888, scimark_benchmark: 901.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, build_cpu_time: 0.004, build_memory: 492153024, f_measure: 0.265, kb_relative_information_score: 29.2982, mean_absolute_error: 0.4096, 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: 0.9543, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9774, scimark_benchmark: 919.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5608, build_cpu_time: 4.482, build_memory: 234865912, f_measure: 0.4304, kappa: 0.1141, kb_relative_information_score: 87.7745, mean_absolute_error: 0.3809, 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: 0.8874, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.6091, root_relative_squared_error: 1.3173, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7066, build_cpu_time: 15.646, build_memory: 2118892688, f_measure: 0.5175, kappa: 0.2452, kb_relative_information_score: 152.8014, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5155, predictive_accuracy: 0.5206, prior_entropy: 1.5392, recall: 0.5206, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0856, scimark_benchmark: 901.824,

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