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Function: require_once

OpenML
Task
Supervised Classification on tae

Supervised Classification on tae

Task 47 Supervised Classification tae 940 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • basic study_1 study_107 study_123 study_41 study_50 study_7 study_73 under100k under1m
Issue #Downvotes for this reason By


Metric:

940 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.4726, kappa: 0.2152, kb_relative_information_score: 46.8507, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4747, predictive_accuracy: 0.4768, prior_entropy: 1.5845, recall: 0.4768, relative_absolute_error: 0.7469, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9862, scimark_benchmark: 882.7843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, f_measure: 0.1764, kb_relative_information_score: 13.7521, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.1186, predictive_accuracy: 0.3444, prior_entropy: 1.5845, recall: 0.3444, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5416, root_relative_squared_error: 1.1491, scimark_benchmark: 1313.9994, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6695, f_measure: 0.5322, kappa: 0.3059, kb_relative_information_score: 40.9731, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5385, predictive_accuracy: 0.5364, prior_entropy: 1.5845, recall: 0.5364, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.9913, scimark_benchmark: 894.7222, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6531, f_measure: 0.5298, kappa: 0.3061, kb_relative_information_score: 24.3461, mean_absolute_error: 0.4048, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5392, predictive_accuracy: 0.5364, prior_entropy: 1.5845, recall: 0.5364, relative_absolute_error: 0.9112, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9675, scimark_benchmark: 930.5999, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5576, f_measure: 0.4098, kappa: 0.115, kb_relative_information_score: 29.0491, mean_absolute_error: 0.3929, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4097, predictive_accuracy: 0.4106, prior_entropy: 1.5845, recall: 0.4106, relative_absolute_error: 0.8844, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.6268, root_relative_squared_error: 1.3299, scimark_benchmark: 1304.9611, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, f_measure: 0.5295, kappa: 0.2949, kb_relative_information_score: 53.7921, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5311, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.7055, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5599, root_relative_squared_error: 1.1879, scimark_benchmark: 1290.1085, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6147, f_measure: 0.5375, kappa: 0.3058, kb_relative_information_score: 29.921, mean_absolute_error: 0.3933, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5513, predictive_accuracy: 0.5364, prior_entropy: 1.5845, recall: 0.5364, relative_absolute_error: 0.8853, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.981, scimark_benchmark: 1335.4072, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.6749, kappa: 0.513, kb_relative_information_score: 65.1261, mean_absolute_error: 0.2909, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6747, predictive_accuracy: 0.6755, prior_entropy: 1.5845, recall: 0.6755, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8378, scimark_benchmark: 1301.9956, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7579, f_measure: 0.6564, kappa: 0.4831, kb_relative_information_score: 81.2526, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6577, predictive_accuracy: 0.6556, prior_entropy: 1.5845, recall: 0.6556, relative_absolute_error: 0.5051, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4663, root_relative_squared_error: 0.9893, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.548, kappa: 0.326, kb_relative_information_score: 39.9755, mean_absolute_error: 0.3637, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5625, predictive_accuracy: 0.5497, prior_entropy: 1.5845, recall: 0.5497, relative_absolute_error: 0.8185, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9548, scimark_benchmark: 1066.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6735, f_measure: 0.5499, kappa: 0.3245, kb_relative_information_score: 42.7137, mean_absolute_error: 0.3544, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5505, predictive_accuracy: 0.5497, prior_entropy: 1.5845, recall: 0.5497, relative_absolute_error: 0.7976, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0001, scimark_benchmark: 1066.7184, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.6812, kappa: 0.5231, kb_relative_information_score: 85.3035, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6811, predictive_accuracy: 0.6821, prior_entropy: 1.5845, recall: 0.6821, relative_absolute_error: 0.477, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4603, root_relative_squared_error: 0.9767, scimark_benchmark: 1353.6735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5406, f_measure: 0.3368, kappa: 0.0816, kb_relative_information_score: 23.9752, mean_absolute_error: 0.4106, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3869, predictive_accuracy: 0.3841, prior_entropy: 1.5845, recall: 0.3841, relative_absolute_error: 0.9241, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.6408, root_relative_squared_error: 1.3595, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6786, f_measure: 0.5332, kappa: 0.3047, kb_relative_information_score: 45.3874, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5334, predictive_accuracy: 0.5364, prior_entropy: 1.5845, recall: 0.5364, relative_absolute_error: 0.7753, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0585, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, f_measure: 0.5031, kappa: 0.2546, kb_relative_information_score: 48.2563, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5032, predictive_accuracy: 0.5033, prior_entropy: 1.5845, recall: 0.5033, relative_absolute_error: 0.7453, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5754, root_relative_squared_error: 1.2209, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, f_measure: 0.55, kappa: 0.3254, kb_relative_information_score: 54.4829, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.558, predictive_accuracy: 0.5497, prior_entropy: 1.5845, recall: 0.5497, relative_absolute_error: 0.7088, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4777, root_relative_squared_error: 1.0135, scimark_benchmark: 940.3346, usercpu_time_millis: 1630, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5939, f_measure: 0.4547, kappa: 0.1874, kb_relative_information_score: 38.8237, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4663, predictive_accuracy: 0.457, prior_entropy: 1.5845, recall: 0.457, relative_absolute_error: 0.8148, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.6017, root_relative_squared_error: 1.2766, scimark_benchmark: 977.6382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4861, f_measure: 0.1764, kb_relative_information_score: 0.098, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.1186, predictive_accuracy: 0.3444, prior_entropy: 1.5845, recall: 0.3444, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0002, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.5611, kappa: 0.3443, kb_relative_information_score: 55.374, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5626, predictive_accuracy: 0.5629, prior_entropy: 1.5845, recall: 0.5629, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4769, root_relative_squared_error: 1.0118, scimark_benchmark: 977.6382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6538, f_measure: 0.5261, kappa: 0.2965, kb_relative_information_score: 27.1079, mean_absolute_error: 0.3989, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5387, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.8977, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9668, scimark_benchmark: 945.6434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6529, f_measure: 0.5265, kappa: 0.2964, kb_relative_information_score: 23.2719, mean_absolute_error: 0.4071, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5387, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9636, scimark_benchmark: 945.6434, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6529, f_measure: 0.5265, kappa: 0.2964, kb_relative_information_score: 23.2719, mean_absolute_error: 0.4071, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5387, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9636, scimark_benchmark: 945.6434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6529, f_measure: 0.5265, kappa: 0.2964, kb_relative_information_score: 23.2719, mean_absolute_error: 0.4071, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5387, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9636, scimark_benchmark: 911.0478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6529, f_measure: 0.5265, kappa: 0.2964, kb_relative_information_score: 23.2719, mean_absolute_error: 0.4071, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5387, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9636, scimark_benchmark: 939.7623, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5349, f_measure: 0.3671, kappa: 0.0668, kb_relative_information_score: 15.359, mean_absolute_error: 0.4269, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3635, predictive_accuracy: 0.3775, prior_entropy: 1.5845, recall: 0.3775, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9903, scimark_benchmark: 942.1229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5349, f_measure: 0.3671, kappa: 0.0668, kb_relative_information_score: 15.359, mean_absolute_error: 0.4269, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3635, predictive_accuracy: 0.3775, prior_entropy: 1.5845, recall: 0.3775, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9903, scimark_benchmark: 936.6206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5349, f_measure: 0.3671, kappa: 0.0668, kb_relative_information_score: 15.359, mean_absolute_error: 0.4269, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3635, predictive_accuracy: 0.3775, prior_entropy: 1.5845, recall: 0.3775, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9903, scimark_benchmark: 876.8277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5349, f_measure: 0.3671, kappa: 0.0668, kb_relative_information_score: 15.359, mean_absolute_error: 0.4269, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3635, predictive_accuracy: 0.3775, prior_entropy: 1.5845, recall: 0.3775, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9903, scimark_benchmark: 939.7623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5349, f_measure: 0.3671, kappa: 0.0668, kb_relative_information_score: 15.359, mean_absolute_error: 0.4269, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3635, predictive_accuracy: 0.3775, prior_entropy: 1.5845, recall: 0.3775, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9903, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.623, kappa: 0.4338, kb_relative_information_score: 62.1358, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6243, predictive_accuracy: 0.6225, prior_entropy: 1.5845, recall: 0.6225, relative_absolute_error: 0.6598, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.9155, scimark_benchmark: 924.6116, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, f_measure: 0.589, kappa: 0.3836, kb_relative_information_score: 53.2152, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5892, predictive_accuracy: 0.5894, prior_entropy: 1.5845, recall: 0.5894, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.9341, scimark_benchmark: 902.4773, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7239, f_measure: 0.5413, kappa: 0.3135, kb_relative_information_score: 44.8341, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5427, predictive_accuracy: 0.543, prior_entropy: 1.5845, recall: 0.543, relative_absolute_error: 0.7803, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4505, root_relative_squared_error: 0.9559, scimark_benchmark: 932.3943, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.556, kappa: 0.3342, kb_relative_information_score: 41.4868, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5563, predictive_accuracy: 0.5563, prior_entropy: 1.5845, recall: 0.5563, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.9376, scimark_benchmark: 933.8635, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.5359, kappa: 0.3042, kb_relative_information_score: 35.029, mean_absolute_error: 0.3743, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5357, predictive_accuracy: 0.5364, prior_entropy: 1.5845, recall: 0.5364, relative_absolute_error: 0.8425, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.9494, scimark_benchmark: 943.2817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4861, f_measure: 0.1764, kb_relative_information_score: 0.098, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.1186, predictive_accuracy: 0.3444, prior_entropy: 1.5845, recall: 0.3444, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0002, scimark_benchmark: 938.9865,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5968, build_cpu_time: 0.0281, build_memory: 412218001.5364, f_measure: 0.4424, kappa: 0.1644, kb_relative_information_score: 15.0845, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4443, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.46, root_relative_squared_error: 0.976, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5968, build_cpu_time: 0.0168, build_memory: 283027437.351, f_measure: 0.4424, kappa: 0.1644, kb_relative_information_score: 15.0845, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4443, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.46, root_relative_squared_error: 0.976, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5968, build_cpu_time: 0.0209, build_memory: 1163609131.7086, f_measure: 0.4424, kappa: 0.1644, kb_relative_information_score: 15.0845, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4443, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.46, root_relative_squared_error: 0.976, scimark_benchmark: 939.0159,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, build_cpu_time: 0.0132, build_memory: 578312326.1987, f_measure: 0.6703, kappa: 0.5028, kb_relative_information_score: 76.252, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6744, predictive_accuracy: 0.6689, prior_entropy: 1.5845, recall: 0.6689, relative_absolute_error: 0.5577, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8891, scimark_benchmark: 916.1588,
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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