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OpenML
Task
Supervised Classification on fri_c1_250_50

Supervised Classification on fri_c1_250_50

Task 3635 Supervised Classification fri_c1_250_50 546 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6019, f_measure: 0.5958, kappa: 0.1824, kb_relative_information_score: 29.5914, mean_absolute_error: 0.4402, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.5966, predictive_accuracy: 0.6, prior_entropy: 0.9934, recall: 0.6, relative_absolute_error: 0.8885, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5355, root_relative_squared_error: 1.0759, scimark_benchmark: 1324.8395, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6047, f_measure: 0.5777, kappa: 0.2012, kb_relative_information_score: 41.2519, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6245, predictive_accuracy: 0.588, prior_entropy: 0.9934, recall: 0.588, relative_absolute_error: 0.8316, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6419, root_relative_squared_error: 1.2897, scimark_benchmark: 889.3151, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.388, kb_relative_information_score: 20.9877, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.3003, predictive_accuracy: 0.548, prior_entropy: 0.9934, recall: 0.548, relative_absolute_error: 0.9123, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6723, root_relative_squared_error: 1.3509, scimark_benchmark: 887.6719, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.6385, kappa: 0.2688, kb_relative_information_score: 67.5954, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6383, predictive_accuracy: 0.64, prior_entropy: 0.9934, recall: 0.64, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2056, scimark_benchmark: 1386.5717, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.6418, kappa: 0.2752, kb_relative_information_score: 44.1908, mean_absolute_error: 0.4156, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.642, predictive_accuracy: 0.644, prior_entropy: 0.9934, recall: 0.644, relative_absolute_error: 0.8389, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4752, root_relative_squared_error: 0.9548, scimark_benchmark: 1304.9611, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.6385, kappa: 0.2688, kb_relative_information_score: 67.5954, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6383, predictive_accuracy: 0.64, prior_entropy: 0.9934, recall: 0.64, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2056, scimark_benchmark: 939.449, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7264, f_measure: 0.6794, kappa: 0.352, kb_relative_information_score: 63.8449, mean_absolute_error: 0.3762, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6792, predictive_accuracy: 0.68, prior_entropy: 0.9934, recall: 0.68, relative_absolute_error: 0.7593, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4713, root_relative_squared_error: 0.9469, scimark_benchmark: 938.202, usercpu_time_millis: 310, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.8281, kappa: 0.6531, kb_relative_information_score: 154.0237, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8282, predictive_accuracy: 0.828, prior_entropy: 0.9934, recall: 0.828, relative_absolute_error: 0.3932, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.7287, scimark_benchmark: 1372.2145, usercpu_time_millis: 400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.8477, kappa: 0.6922, kb_relative_information_score: 78.6855, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8479, predictive_accuracy: 0.848, prior_entropy: 0.9934, recall: 0.848, relative_absolute_error: 0.735, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.78, scimark_benchmark: 1361.1055, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6786, f_measure: 0.6804, kappa: 0.356, kb_relative_information_score: 87.8597, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6812, predictive_accuracy: 0.68, prior_entropy: 0.9934, recall: 0.68, relative_absolute_error: 0.6459, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1366, scimark_benchmark: 1313.5726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.832, kappa: 0.6609, kb_relative_information_score: 148.4739, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.832, predictive_accuracy: 0.832, prior_entropy: 0.9934, recall: 0.832, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.377, root_relative_squared_error: 0.7574, scimark_benchmark: 1318.5526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.843, kappa: 0.6824, kb_relative_information_score: 150.0204, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8454, predictive_accuracy: 0.844, prior_entropy: 0.9934, recall: 0.844, relative_absolute_error: 0.4236, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7574, scimark_benchmark: 1355.7054, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, f_measure: 0.4445, kappa: -0.0052, kb_relative_information_score: 14.9084, mean_absolute_error: 0.464, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.4985, predictive_accuracy: 0.536, prior_entropy: 0.9934, recall: 0.536, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6812, root_relative_squared_error: 1.3687, scimark_benchmark: 825.5282, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2814, kb_relative_information_score: -27.6465, mean_absolute_error: 0.548, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.2043, predictive_accuracy: 0.452, prior_entropy: 0.9934, recall: 0.452, relative_absolute_error: 1.1061, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.7403, root_relative_squared_error: 1.4874, scimark_benchmark: 1372.2145, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.8358, kappa: 0.6682, kb_relative_information_score: 165.9333, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8358, predictive_accuracy: 0.836, prior_entropy: 0.9934, recall: 0.836, relative_absolute_error: 0.3364, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.7946, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, f_measure: 0.7803, kappa: 0.5576, kb_relative_information_score: 138.5203, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7813, predictive_accuracy: 0.78, prior_entropy: 0.9934, recall: 0.78, relative_absolute_error: 0.4441, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9424, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.795, kappa: 0.5853, kb_relative_information_score: 146.6259, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7961, predictive_accuracy: 0.796, prior_entropy: 0.9934, recall: 0.796, relative_absolute_error: 0.4118, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9075, scimark_benchmark: 1353.5686, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.483, f_measure: 0.388, kb_relative_information_score: -0.0676, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.3003, predictive_accuracy: 0.548, prior_entropy: 0.9934, recall: 0.548, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0002, scimark_benchmark: 1358.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8799, kappa: 0.7574, kb_relative_information_score: 184.3858, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9934, recall: 0.88, relative_absolute_error: 0.2675, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.6898, scimark_benchmark: 1605.6303, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.6493, kappa: 0.2904, kb_relative_information_score: 73.295, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6501, predictive_accuracy: 0.652, prior_entropy: 0.9934, recall: 0.652, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5623, root_relative_squared_error: 1.1298, scimark_benchmark: 931.2336, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, f_measure: 0.6541, kappa: 0.3002, kb_relative_information_score: 76.1058, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6543, predictive_accuracy: 0.656, prior_entropy: 0.9934, recall: 0.656, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5676, root_relative_squared_error: 1.1406, scimark_benchmark: 945.6434, usercpu_time_millis: 330, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.6441, kappa: 0.2819, kb_relative_information_score: 70.0308, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6443, predictive_accuracy: 0.644, prior_entropy: 0.9934, recall: 0.644, relative_absolute_error: 0.7164, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5823, root_relative_squared_error: 1.17, scimark_benchmark: 941.7954, usercpu_time_millis: 200, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6749, f_measure: 0.6525, kappa: 0.3002, kb_relative_information_score: 69.0275, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6536, predictive_accuracy: 0.652, prior_entropy: 0.9934, recall: 0.652, relative_absolute_error: 0.7227, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5725, root_relative_squared_error: 1.1504, scimark_benchmark: 923.7642, usercpu_time_millis: 190, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.6564, kappa: 0.3077, kb_relative_information_score: 72.4318, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6572, predictive_accuracy: 0.656, prior_entropy: 0.9934, recall: 0.656, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5647, root_relative_squared_error: 1.1347, scimark_benchmark: 894.7455, usercpu_time_millis: 200, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8476, kappa: 0.6917, kb_relative_information_score: 172.6067, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8481, predictive_accuracy: 0.848, prior_entropy: 0.9934, recall: 0.848, relative_absolute_error: 0.3093, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.724, scimark_benchmark: 936.6206, usercpu_time_millis: 770, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.8435, kappa: 0.6834, kb_relative_information_score: 166.5397, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8442, predictive_accuracy: 0.844, prior_entropy: 0.9934, recall: 0.844, relative_absolute_error: 0.3355, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7446, scimark_benchmark: 943.2817, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8237, kappa: 0.6436, kb_relative_information_score: 158.3416, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8238, predictive_accuracy: 0.824, prior_entropy: 0.9934, recall: 0.824, relative_absolute_error: 0.3663, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7578, scimark_benchmark: 911.3823, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.7875, kappa: 0.5704, kb_relative_information_score: 136.557, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7876, predictive_accuracy: 0.788, prior_entropy: 0.9934, recall: 0.788, relative_absolute_error: 0.453, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.8524, scimark_benchmark: 922.9039, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.7639, kappa: 0.5232, kb_relative_information_score: 124.6502, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7638, predictive_accuracy: 0.764, prior_entropy: 0.9934, recall: 0.764, relative_absolute_error: 0.5065, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.8864, scimark_benchmark: 938.4285, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8515, kappa: 0.6996, kb_relative_information_score: 166.0192, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8523, predictive_accuracy: 0.852, prior_entropy: 0.9934, recall: 0.852, relative_absolute_error: 0.3393, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7208, scimark_benchmark: 936.6206, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8593, kappa: 0.7154, kb_relative_information_score: 149.0504, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8609, predictive_accuracy: 0.86, prior_entropy: 0.9934, recall: 0.86, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.6412, scimark_benchmark: 947.9494, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8634, kappa: 0.7238, kb_relative_information_score: 143.392, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8647, predictive_accuracy: 0.864, prior_entropy: 0.9934, recall: 0.864, relative_absolute_error: 0.4551, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6385, scimark_benchmark: 931.2336, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.483, f_measure: 0.388, kb_relative_information_score: -0.0676, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.3003, predictive_accuracy: 0.548, prior_entropy: 0.9934, recall: 0.548, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0002, scimark_benchmark: 943.2817,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.8476, kappa: 0.6917, kb_relative_information_score: 153.2418, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8481, predictive_accuracy: 0.848, prior_entropy: 0.9934, recall: 0.848, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.6419, scimark_benchmark: 947.9494, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, build_cpu_time: 0.1648, build_memory: 749943383.2, f_measure: 0.8113, kappa: 0.6184, kb_relative_information_score: 147.1813, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.812, predictive_accuracy: 0.812, prior_entropy: 0.9934, recall: 0.812, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8605, scimark_benchmark: 916.8903,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, build_cpu_time: 0.0278, build_memory: 307442038.4, f_measure: 0.776, kappa: 0.5478, kb_relative_information_score: 128.3551, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.776, prior_entropy: 0.9934, recall: 0.776, relative_absolute_error: 0.4907, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.8565, scimark_benchmark: 943.5504,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, build_cpu_time: 44.0799, build_memory: 758880480, f_measure: 0.7964, kappa: 0.5904, kb_relative_information_score: 145.5352, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.798, predictive_accuracy: 0.796, prior_entropy: 0.9934, recall: 0.796, relative_absolute_error: 0.4166, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8691, scimark_benchmark: 940.3132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, build_cpu_time: 74.945, build_memory: 831718503.2, f_measure: 0.8122, kappa: 0.6214, kb_relative_information_score: 153.4222, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8126, predictive_accuracy: 0.812, prior_entropy: 0.9934, recall: 0.812, relative_absolute_error: 0.3854, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8592, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, build_cpu_time: 305.5897, build_memory: 725071531.2, f_measure: 0.8444, kappa: 0.6882, kb_relative_information_score: 172.3128, mean_absolute_error: 0.1529, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8493, predictive_accuracy: 0.844, prior_entropy: 0.9934, recall: 0.844, relative_absolute_error: 0.3086, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.779, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, build_cpu_time: 37.1268, build_memory: 51508313.6, f_measure: 0.8161, kappa: 0.6292, kb_relative_information_score: 155.4096, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8164, predictive_accuracy: 0.816, prior_entropy: 0.9934, recall: 0.816, relative_absolute_error: 0.3775, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8577, scimark_benchmark: 942.0692,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, build_cpu_time: 8.9709, build_memory: 1378057693.6, f_measure: 0.8, kappa: 0.5963, kb_relative_information_score: 147.8195, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9934, recall: 0.8, relative_absolute_error: 0.4074, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.8745, scimark_benchmark: 916.8903,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, build_cpu_time: 1.0187, build_memory: 50904803.2, f_measure: 0.8439, kappa: 0.6849, kb_relative_information_score: 165.319, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8439, predictive_accuracy: 0.844, prior_entropy: 0.9934, recall: 0.844, relative_absolute_error: 0.3394, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7582, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, build_cpu_time: 2.0563, build_memory: 217081896.8, f_measure: 0.856, kappa: 0.7093, kb_relative_information_score: 174.4835, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9934, recall: 0.856, relative_absolute_error: 0.3016, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7368, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, build_cpu_time: 4.2271, build_memory: 397289046.4, f_measure: 0.8679, kappa: 0.7333, kb_relative_information_score: 181.9675, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8679, predictive_accuracy: 0.868, prior_entropy: 0.9934, recall: 0.868, relative_absolute_error: 0.2718, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.7261, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, build_cpu_time: 7.2948, build_memory: 167646381.6, f_measure: 0.8758, kappa: 0.7491, kb_relative_information_score: 187.9058, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8759, predictive_accuracy: 0.876, prior_entropy: 0.9934, recall: 0.876, relative_absolute_error: 0.2469, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.6938, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, build_cpu_time: 16.856, build_memory: 1027697066.4, f_measure: 0.8917, kappa: 0.7811, kb_relative_information_score: 194.5322, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8922, predictive_accuracy: 0.892, prior_entropy: 0.9934, recall: 0.892, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.329, root_relative_squared_error: 0.661, scimark_benchmark: 934.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, build_cpu_time: 2.4292, build_memory: 287390010.4, f_measure: 0.8719, kappa: 0.7412, kb_relative_information_score: 184.5709, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8719, predictive_accuracy: 0.872, prior_entropy: 0.9934, recall: 0.872, relative_absolute_error: 0.2619, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.7029, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, build_cpu_time: 1.2128, build_memory: 401298960, f_measure: 0.876, kappa: 0.7499, kb_relative_information_score: 185.556, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8761, predictive_accuracy: 0.876, prior_entropy: 0.9934, recall: 0.876, relative_absolute_error: 0.2586, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.6907, scimark_benchmark: 922.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, build_cpu_time: 0.6132, build_memory: 1107037188.8, f_measure: 0.8678, kappa: 0.7329, kb_relative_information_score: 181.4181, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8679, predictive_accuracy: 0.868, prior_entropy: 0.9934, recall: 0.868, relative_absolute_error: 0.2744, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.6954, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, build_cpu_time: 0.3475, build_memory: 876237881.6, f_measure: 0.8393, kappa: 0.675, kb_relative_information_score: 166.3227, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8404, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.3357, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.7516, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, build_cpu_time: 0.2047, build_memory: 1046561371.2, f_measure: 0.8881, kappa: 0.7743, kb_relative_information_score: 189.1258, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8883, predictive_accuracy: 0.888, prior_entropy: 0.9934, recall: 0.888, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6529, scimark_benchmark: 939.6298,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs

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