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OpenML
Task
Supervised Classification on triazines

Supervised Classification on triazines

Task 3653 Supervised Classification triazines 581 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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581 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.7376, kappa: 0.4622, kb_relative_information_score: 60.7864, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7397, predictive_accuracy: 0.7366, prior_entropy: 0.979, recall: 0.7366, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9221, scimark_benchmark: 1363.454, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.7089, kappa: 0.3954, kb_relative_information_score: 75.3436, mean_absolute_error: 0.2849, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7125, predictive_accuracy: 0.7151, prior_entropy: 0.979, recall: 0.7151, relative_absolute_error: 0.5871, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5338, root_relative_squared_error: 1.0838, scimark_benchmark: 1313.9994, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4331, kb_relative_information_score: 25.2741, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.3063, scimark_benchmark: 887.6719, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, f_measure: 0.7293, kappa: 0.4396, kb_relative_information_score: 81.6023, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.729, predictive_accuracy: 0.7312, prior_entropy: 0.979, recall: 0.7312, relative_absolute_error: 0.5539, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5185, root_relative_squared_error: 1.0526, scimark_benchmark: 1386.5717, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.746, f_measure: 0.7077, kappa: 0.3947, kb_relative_information_score: 50.4232, mean_absolute_error: 0.3614, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7072, predictive_accuracy: 0.7097, prior_entropy: 0.979, recall: 0.7097, relative_absolute_error: 0.7446, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9093, scimark_benchmark: 1335.643, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, f_measure: 0.7293, kappa: 0.4396, kb_relative_information_score: 81.6023, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.729, predictive_accuracy: 0.7312, prior_entropy: 0.979, recall: 0.7312, relative_absolute_error: 0.5539, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5185, root_relative_squared_error: 1.0526, scimark_benchmark: 939.449, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.7394, kappa: 0.4599, kb_relative_information_score: 66.4816, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7398, predictive_accuracy: 0.7419, prior_entropy: 0.979, recall: 0.7419, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8742, scimark_benchmark: 912.5006, usercpu_time_millis: 890, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.3996, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.0573, scimark_benchmark: 1337.7959, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.7437, kappa: 0.4681, kb_relative_information_score: 73.0291, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7455, predictive_accuracy: 0.7473, prior_entropy: 0.979, recall: 0.7473, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8785, scimark_benchmark: 1372.2145, usercpu_time_millis: 2410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.7573, kappa: 0.4985, kb_relative_information_score: 77.4146, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7569, predictive_accuracy: 0.7581, prior_entropy: 0.979, recall: 0.7581, relative_absolute_error: 0.6005, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8122, scimark_benchmark: 1327.8711, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.713, f_measure: 0.7199, kappa: 0.4216, kb_relative_information_score: 78.4513, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7195, predictive_accuracy: 0.7204, prior_entropy: 0.979, recall: 0.7204, relative_absolute_error: 0.5705, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5249, root_relative_squared_error: 1.0657, scimark_benchmark: 1307.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, f_measure: 0.7446, kappa: 0.4701, kb_relative_information_score: 67.3322, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7557, predictive_accuracy: 0.7527, prior_entropy: 0.979, recall: 0.7527, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8894, scimark_benchmark: 1319.9043, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.7336, kappa: 0.4476, kb_relative_information_score: 72.5417, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7342, predictive_accuracy: 0.7366, prior_entropy: 0.979, recall: 0.7366, relative_absolute_error: 0.6215, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.943, scimark_benchmark: 1355.7054, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7583, kappa: 0.5023, kb_relative_information_score: 92.0335, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7586, predictive_accuracy: 0.7581, prior_entropy: 0.979, recall: 0.7581, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9986, scimark_benchmark: 1291.6995, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6718, f_measure: 0.6692, kappa: 0.3333, kb_relative_information_score: 56.5676, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.6815, predictive_accuracy: 0.6667, prior_entropy: 0.979, recall: 0.6667, relative_absolute_error: 0.6868, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.1722, scimark_benchmark: 1355.7054, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.8, kappa: 0.5861, kb_relative_information_score: 102.5585, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.8001, predictive_accuracy: 0.8011, prior_entropy: 0.979, recall: 0.8011, relative_absolute_error: 0.4539, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.8293, scimark_benchmark: 1465.2979, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5683, f_measure: 0.5863, kappa: 0.1411, kb_relative_information_score: 29.4466, mean_absolute_error: 0.4032, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.586, predictive_accuracy: 0.5968, prior_entropy: 0.979, recall: 0.5968, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.635, root_relative_squared_error: 1.2892, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7295, f_measure: 0.7506, kappa: 0.485, kb_relative_information_score: 94.1197, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7784, predictive_accuracy: 0.7634, prior_entropy: 0.979, recall: 0.7634, relative_absolute_error: 0.4874, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9875, scimark_benchmark: 1353.5686, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4821, f_measure: 0.4331, kb_relative_information_score: -0.0699, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4926, root_relative_squared_error: 1.0001, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.784, kappa: 0.5516, kb_relative_information_score: 90.225, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7959, predictive_accuracy: 0.7903, prior_entropy: 0.979, recall: 0.7903, relative_absolute_error: 0.5299, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.832, scimark_benchmark: 1605.6303, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.6905, kappa: 0.374, kb_relative_information_score: 61.0573, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7005, predictive_accuracy: 0.6882, prior_entropy: 0.979, recall: 0.6882, relative_absolute_error: 0.6667, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5159, root_relative_squared_error: 1.0474, scimark_benchmark: 931.2336, usercpu_time_millis: 230, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.6948, kappa: 0.3744, kb_relative_information_score: 67.9349, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.697, predictive_accuracy: 0.6935, prior_entropy: 0.979, recall: 0.6935, relative_absolute_error: 0.6284, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5082, root_relative_squared_error: 1.0318, scimark_benchmark: 945.6434, usercpu_time_millis: 370, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, f_measure: 0.6789, kappa: 0.3427, kb_relative_information_score: 64.7812, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.6818, predictive_accuracy: 0.6774, prior_entropy: 0.979, recall: 0.6774, relative_absolute_error: 0.6439, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0171, scimark_benchmark: 941.7954, usercpu_time_millis: 770, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.6887, kappa: 0.3598, kb_relative_information_score: 61.5603, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.6894, predictive_accuracy: 0.6882, prior_entropy: 0.979, recall: 0.6882, relative_absolute_error: 0.6667, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4906, root_relative_squared_error: 0.9959, scimark_benchmark: 923.7642, usercpu_time_millis: 320, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, f_measure: 0.6943, kappa: 0.372, kb_relative_information_score: 61.6243, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.6955, predictive_accuracy: 0.6935, prior_entropy: 0.979, recall: 0.6935, relative_absolute_error: 0.67, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9601, scimark_benchmark: 894.7455, usercpu_time_millis: 340, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7679, kappa: 0.5181, kb_relative_information_score: 91.0837, mean_absolute_error: 0.2471, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7774, predictive_accuracy: 0.7742, prior_entropy: 0.979, recall: 0.7742, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8736, scimark_benchmark: 936.6206, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.7276, kappa: 0.442, kb_relative_information_score: 80.5301, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.774, predictive_accuracy: 0.7473, prior_entropy: 0.979, recall: 0.7473, relative_absolute_error: 0.5634, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9118, scimark_benchmark: 938.2848, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7035, kappa: 0.3889, kb_relative_information_score: 73.131, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7303, predictive_accuracy: 0.7204, prior_entropy: 0.979, recall: 0.7204, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9384, scimark_benchmark: 942.1229, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.6534, kappa: 0.3062, kb_relative_information_score: 60.6531, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7357, predictive_accuracy: 0.6935, prior_entropy: 0.979, recall: 0.6935, relative_absolute_error: 0.6764, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4852, root_relative_squared_error: 0.9852, scimark_benchmark: 922.9039, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.63, kappa: 0.2651, kb_relative_information_score: 48.2474, mean_absolute_error: 0.3606, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7206, predictive_accuracy: 0.6774, prior_entropy: 0.979, recall: 0.6774, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5237, root_relative_squared_error: 1.0633, scimark_benchmark: 938.4285, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.772, kappa: 0.5274, kb_relative_information_score: 91.0142, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7728, predictive_accuracy: 0.7742, prior_entropy: 0.979, recall: 0.7742, relative_absolute_error: 0.5159, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.8499, scimark_benchmark: 936.6206, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.7835, kappa: 0.5516, kb_relative_information_score: 92.1776, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7837, predictive_accuracy: 0.7849, prior_entropy: 0.979, recall: 0.7849, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8105, scimark_benchmark: 924.6116, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, build_cpu_time: 0.7265, build_memory: 820863100.6452, f_measure: 0.7503, kappa: 0.4824, kb_relative_information_score: 87.7761, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7508, predictive_accuracy: 0.7527, prior_entropy: 0.979, recall: 0.7527, relative_absolute_error: 0.5236, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.954, scimark_benchmark: 943.8094,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, build_cpu_time: 1.4082, build_memory: 763277358.6667, f_measure: 0.7503, kappa: 0.4824, kb_relative_information_score: 87.5795, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7508, predictive_accuracy: 0.7527, prior_entropy: 0.979, recall: 0.7527, relative_absolute_error: 0.5244, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.47, root_relative_squared_error: 0.9542, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, build_cpu_time: 1.3229, build_memory: 1315608384.6452, f_measure: 0.7503, kappa: 0.4824, kb_relative_information_score: 87.5795, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7508, predictive_accuracy: 0.7527, prior_entropy: 0.979, recall: 0.7527, relative_absolute_error: 0.5244, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.47, root_relative_squared_error: 0.9542, scimark_benchmark: 943.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, build_cpu_time: 0.056, build_memory: 223096381.1183, f_measure: 0.8061, kappa: 0.5996, kb_relative_information_score: 93.7614, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.8059, predictive_accuracy: 0.8065, prior_entropy: 0.979, recall: 0.8065, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.762, scimark_benchmark: 927.3354,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, build_cpu_time: 0.0596, build_memory: 323274160.8602, f_measure: 0.8116, kappa: 0.6114, kb_relative_information_score: 93.0197, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.8115, predictive_accuracy: 0.8118, prior_entropy: 0.979, recall: 0.8118, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7526, scimark_benchmark: 916.8903,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, build_cpu_time: 0.0131, build_memory: 224463954.7957, f_measure: 0.7638, kappa: 0.5095, kb_relative_information_score: 77.9301, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7695, predictive_accuracy: 0.7688, prior_entropy: 0.979, recall: 0.7688, relative_absolute_error: 0.6056, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.778, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, build_cpu_time: 0.1196, build_memory: 794239719.4839, f_measure: 0.6999, kappa: 0.3842, kb_relative_information_score: 62.4743, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7016, predictive_accuracy: 0.6989, prior_entropy: 0.979, recall: 0.6989, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9285, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, build_cpu_time: 0.1942, build_memory: 1422008315.6559, f_measure: 0.6995, kappa: 0.3818, kb_relative_information_score: 62.2127, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7002, predictive_accuracy: 0.6989, prior_entropy: 0.979, recall: 0.6989, relative_absolute_error: 0.6675, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.945, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, build_cpu_time: 0.2602, build_memory: 727863734.1935, f_measure: 0.6943, kappa: 0.372, kb_relative_information_score: 61.6243, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.6955, predictive_accuracy: 0.6935, prior_entropy: 0.979, recall: 0.6935, relative_absolute_error: 0.67, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9601, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, build_cpu_time: 0.2749, build_memory: 771954759.5269, f_measure: 0.6943, kappa: 0.372, kb_relative_information_score: 61.6243, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.6955, predictive_accuracy: 0.6935, prior_entropy: 0.979, recall: 0.6935, relative_absolute_error: 0.67, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9601, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, build_cpu_time: 0.2549, build_memory: 2996167648.9893, f_measure: 0.6943, kappa: 0.372, kb_relative_information_score: 61.6243, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.6955, predictive_accuracy: 0.6935, prior_entropy: 0.979, recall: 0.6935, relative_absolute_error: 0.67, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9601, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, build_cpu_time: 4.0612, build_memory: 861422683.4409, f_measure: 0.7218, kappa: 0.4228, kb_relative_information_score: 82.0771, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7232, predictive_accuracy: 0.7258, prior_entropy: 0.979, recall: 0.7258, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.886, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, build_cpu_time: 7.8109, build_memory: 442722374.3656, f_measure: 0.7235, kappa: 0.4272, kb_relative_information_score: 77.5023, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7234, predictive_accuracy: 0.7258, prior_entropy: 0.979, recall: 0.7258, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4799, root_relative_squared_error: 0.9742, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, build_cpu_time: 16.5488, build_memory: 806084752.9032, f_measure: 0.7516, kappa: 0.4864, kb_relative_information_score: 87.2387, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7513, predictive_accuracy: 0.7527, prior_entropy: 0.979, recall: 0.7527, relative_absolute_error: 0.5278, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9611, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, build_cpu_time: 36.4964, build_memory: 856115754.1075, f_measure: 0.7277, kappa: 0.4352, kb_relative_information_score: 81.3388, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7287, predictive_accuracy: 0.7312, prior_entropy: 0.979, recall: 0.7312, relative_absolute_error: 0.5562, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0175, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, build_cpu_time: 75.2937, build_memory: 1036207049.5484, f_measure: 0.7286, kappa: 0.4374, kb_relative_information_score: 81.0152, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7288, predictive_accuracy: 0.7312, prior_entropy: 0.979, recall: 0.7312, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0295, scimark_benchmark: 888.7575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, build_cpu_time: 18.0412, build_memory: 1515300393.5054, f_measure: 0.7452, kappa: 0.4722, kb_relative_information_score: 91.9816, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7453, predictive_accuracy: 0.7473, prior_entropy: 0.979, recall: 0.7473, relative_absolute_error: 0.4965, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9603, scimark_benchmark: 938.6131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, build_cpu_time: 11.685, build_memory: 117511420.4301, f_measure: 0.7452, kappa: 0.4722, kb_relative_information_score: 91.9816, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7453, predictive_accuracy: 0.7473, prior_entropy: 0.979, recall: 0.7473, relative_absolute_error: 0.4965, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9603, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, build_cpu_time: 9.9103, build_memory: 87236791.5699, f_measure: 0.7394, kappa: 0.4599, kb_relative_information_score: 89.8996, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7398, predictive_accuracy: 0.7419, prior_entropy: 0.979, recall: 0.7419, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4786, root_relative_squared_error: 0.9717, scimark_benchmark: 929.7124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, build_cpu_time: 6.5628, build_memory: 1849368034.7957, f_measure: 0.7561, kappa: 0.4946, kb_relative_information_score: 94.662, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7563, predictive_accuracy: 0.7581, prior_entropy: 0.979, recall: 0.7581, relative_absolute_error: 0.4823, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9434, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, build_cpu_time: 3.9587, build_memory: 64042974.4516, f_measure: 0.7624, kappa: 0.5087, kb_relative_information_score: 94.8989, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7621, predictive_accuracy: 0.7634, prior_entropy: 0.979, recall: 0.7634, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9305, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, build_cpu_time: 1.0402, build_memory: 392492897.2043, f_measure: 0.7897, kappa: 0.5654, kb_relative_information_score: 100.8705, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7894, predictive_accuracy: 0.7903, prior_entropy: 0.979, recall: 0.7903, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8448, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, build_cpu_time: 1.4858, build_memory: 240994867.2258, f_measure: 0.8056, kappa: 0.598, kb_relative_information_score: 106.1543, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.8055, predictive_accuracy: 0.8065, prior_entropy: 0.979, recall: 0.8065, relative_absolute_error: 0.4275, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8469, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, build_cpu_time: 3.001, build_memory: 217752873.0753, f_measure: 0.8, kappa: 0.5861, kb_relative_information_score: 105.8993, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.8001, predictive_accuracy: 0.8011, prior_entropy: 0.979, recall: 0.8011, relative_absolute_error: 0.4289, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.8768, scimark_benchmark: 902.712,

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