OpenML
Supervised Classification on molecular-biology_promoters

Supervised Classification on molecular-biology_promoters

Task 3819 Supervised Classification molecular-biology_promoters 142 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5854, f_measure: 0.6572, kappa: 0.1883, kb_relative_information_score: 23.6283, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.6536, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 0.7341, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5664, root_relative_squared_error: 1.2133, usercpu_time_millis: 0.831, usercpu_time_millis_testing: 0.802, usercpu_time_millis_training: 0.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5495, kb_relative_information_score: 23.6283, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 0.7341, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5664, root_relative_squared_error: 1.2133, usercpu_time_millis: 1.288, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 0.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5633, f_measure: 0.5885, kappa: 0.115, kb_relative_information_score: -2.8885, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.6179, predictive_accuracy: 0.5755, prior_entropy: 0.9088, recall: 0.5755, relative_absolute_error: 0.9716, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.6516, root_relative_squared_error: 1.3959, usercpu_time_millis: 1.566, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 1.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5462, f_measure: 0.5986, kappa: 0.0902, kb_relative_information_score: 1.9327, mean_absolute_error: 0.4057, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.6037, predictive_accuracy: 0.5943, prior_entropy: 0.9088, recall: 0.5943, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.6369, root_relative_squared_error: 1.3645, usercpu_time_millis: 1.061, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 0.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6659, f_measure: 0.7252, kappa: 0.3537, kb_relative_information_score: 38.092, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.7238, predictive_accuracy: 0.7358, prior_entropy: 0.9088, recall: 0.7358, relative_absolute_error: 0.6046, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.514, root_relative_squared_error: 1.1011, usercpu_time_millis: 0.975, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 0.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6217, f_measure: 0.6897, kappa: 0.2662, kb_relative_information_score: 30.8602, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.6887, predictive_accuracy: 0.7075, prior_entropy: 0.9088, recall: 0.7075, relative_absolute_error: 0.6693, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5408, root_relative_squared_error: 1.1586, usercpu_time_millis: 3.633, usercpu_time_millis_testing: 0.673, usercpu_time_millis_training: 2.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4416, f_measure: 0.5228, kappa: -0.1267, kb_relative_information_score: -10.1204, mean_absolute_error: 0.4528, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.5058, predictive_accuracy: 0.5472, prior_entropy: 0.9088, recall: 0.5472, relative_absolute_error: 1.0364, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.6729, root_relative_squared_error: 1.4416, usercpu_time_millis: 7.354, usercpu_time_millis_testing: 3.611, usercpu_time_millis_training: 3.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5731, f_measure: 0.6352, kappa: 0.1509, kb_relative_information_score: 13.9858, mean_absolute_error: 0.3585, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.6306, predictive_accuracy: 0.6415, prior_entropy: 0.9088, recall: 0.6415, relative_absolute_error: 0.8205, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5987, root_relative_squared_error: 1.2827, usercpu_time_millis: 3.153, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 2.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5633, f_measure: 0.5885, kappa: 0.115, kb_relative_information_score: -2.8885, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.6179, predictive_accuracy: 0.5755, prior_entropy: 0.9088, recall: 0.5755, relative_absolute_error: 0.9716, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.6516, root_relative_squared_error: 1.3959, usercpu_time_millis: 2.217, usercpu_time_millis_testing: 0.588, usercpu_time_millis_training: 1.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5376, f_measure: 0.6005, kappa: 0.0763, kb_relative_information_score: 4.3434, mean_absolute_error: 0.3962, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.5976, predictive_accuracy: 0.6038, prior_entropy: 0.9088, recall: 0.6038, relative_absolute_error: 0.9068, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.6295, root_relative_squared_error: 1.3485, usercpu_time_millis: 9.255, usercpu_time_millis_testing: 4.373, usercpu_time_millis_training: 4.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5449, f_measure: 0.617, kappa: 0.1148, kb_relative_information_score: 28.4496, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.6893, predictive_accuracy: 0.6981, prior_entropy: 0.9088, recall: 0.6981, relative_absolute_error: 0.6909, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5494, root_relative_squared_error: 1.1771, usercpu_time_millis: 2.221, usercpu_time_millis_testing: 0.423, usercpu_time_millis_training: 1.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4861, f_measure: 0.5403, kappa: -0.037, kb_relative_information_score: 18.8071, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4572, predictive_accuracy: 0.6604, prior_entropy: 0.9088, recall: 0.6604, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5828, root_relative_squared_error: 1.2485, usercpu_time_millis: 1.364, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 1.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5155, f_measure: 0.5803, kappa: 0.0405, kb_relative_information_score: 23.6283, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.6265, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 0.7341, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5664, root_relative_squared_error: 1.2133, usercpu_time_millis: 13.916, usercpu_time_millis_testing: 3.777, usercpu_time_millis_training: 10.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5229, f_measure: 0.5891, kappa: 0.0468, kb_relative_information_score: 1.9327, mean_absolute_error: 0.4057, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.5848, predictive_accuracy: 0.5943, prior_entropy: 0.9088, recall: 0.5943, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.6369, root_relative_squared_error: 1.3645, usercpu_time_millis: 0.884, usercpu_time_millis_testing: 0.525, usercpu_time_millis_training: 0.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4739, f_measure: 0.5467, kappa: -0.0643, kb_relative_information_score: 9.1646, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.517, predictive_accuracy: 0.6226, prior_entropy: 0.9088, recall: 0.6226, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.6143, root_relative_squared_error: 1.316, usercpu_time_millis: 29.533, usercpu_time_millis_testing: 1.529, usercpu_time_millis_training: 28.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5495, kb_relative_information_score: 23.6283, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 0.7341, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5664, root_relative_squared_error: 1.2133, usercpu_time_millis: 1.096, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 0.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6001, f_measure: 0.6697, kappa: 0.2188, kb_relative_information_score: 26.0389, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.6666, predictive_accuracy: 0.6887, prior_entropy: 0.9088, recall: 0.6887, relative_absolute_error: 0.7125, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.558, root_relative_squared_error: 1.1953, usercpu_time_millis: 495.843, usercpu_time_millis_testing: 56.471, usercpu_time_millis_training: 439.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6356, f_measure: 0.7054, kappa: 0.3017, kb_relative_information_score: 35.6814, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.71, predictive_accuracy: 0.7264, prior_entropy: 0.9088, recall: 0.7264, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5231, root_relative_squared_error: 1.1206, usercpu_time_millis: 255.542, usercpu_time_millis_testing: 0.915, usercpu_time_millis_training: 254.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5772, f_measure: 0.6005, kappa: 0.0763, kb_relative_information_score: 2.9159, mean_absolute_error: 0.4058, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.5976, predictive_accuracy: 0.6038, prior_entropy: 0.9088, recall: 0.6038, relative_absolute_error: 0.9287, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5767, root_relative_squared_error: 1.2355, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.5495, kb_relative_information_score: 0.1661, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4671, root_relative_squared_error: 1.0008, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5633, f_measure: 0.6576, kappa: 0.2083, kb_relative_information_score: 14.7607, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.6552, predictive_accuracy: 0.6604, prior_entropy: 0.9088, recall: 0.6604, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5619, root_relative_squared_error: 1.2038, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.5495, kb_relative_information_score: 0.1617, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4671, root_relative_squared_error: 1.0008, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.5495, kb_relative_information_score: 0.1661, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4671, root_relative_squared_error: 1.0008, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.5495, kb_relative_information_score: 0.1661, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4671, root_relative_squared_error: 1.0008, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6744, f_measure: 0.5914, kappa: 0.0783, kb_relative_information_score: 2.6248, mean_absolute_error: 0.4235, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.791, predictive_accuracy: 0.6981, prior_entropy: 0.9088, recall: 0.6981, relative_absolute_error: 0.9692, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9671, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.5495, kb_relative_information_score: -0.1783, mean_absolute_error: 0.4369, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4672, root_relative_squared_error: 1.0009, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.5495, kb_relative_information_score: -0.3485, mean_absolute_error: 0.4373, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4671, root_relative_squared_error: 1.0008, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.5495, kb_relative_information_score: -8.9299, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 1.0424, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4702, root_relative_squared_error: 1.0073, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.742, kappa: 0.4015, kb_relative_information_score: 31.1673, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.74, predictive_accuracy: 0.7453, prior_entropy: 0.9088, recall: 0.7453, relative_absolute_error: 0.6884, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4691, root_relative_squared_error: 1.005, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.5495, kb_relative_information_score: -8.9299, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 1.0424, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4702, root_relative_squared_error: 1.0073, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.594, f_measure: 0.6585, kappa: 0.1987, kb_relative_information_score: 21.2177, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.6531, predictive_accuracy: 0.6698, prior_entropy: 0.9088, recall: 0.6698, relative_absolute_error: 0.7557, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5746, root_relative_squared_error: 1.231, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5495, kb_relative_information_score: 23.6283, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 0.7341, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5664, root_relative_squared_error: 1.2133, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5229, f_measure: 0.5766, kappa: -0.0027, kb_relative_information_score: -4.0483, mean_absolute_error: 0.4391, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.563, predictive_accuracy: 0.6038, prior_entropy: 0.9088, recall: 0.6038, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5523, root_relative_squared_error: 1.1832, scimark_benchmark: 1016.889, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5515, f_measure: 0.6159, kappa: 0.1062, kb_relative_information_score: 9.1646, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.6109, predictive_accuracy: 0.6226, prior_entropy: 0.9088, recall: 0.6226, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.6143, root_relative_squared_error: 1.316, scimark_benchmark: 1529.1063, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5495, kb_relative_information_score: 23.6283, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 0.7341, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5664, root_relative_squared_error: 1.2133, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.5495, kb_relative_information_score: 0.1661, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4671, root_relative_squared_error: 1.0008, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.483, f_measure: 0.5495, kb_relative_information_score: 19.5823, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 0.7873, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5328, root_relative_squared_error: 1.1415, scimark_benchmark: 1788.6668, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.5495, kb_relative_information_score: 0.1661, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4671, root_relative_squared_error: 1.0008, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.5495, kb_relative_information_score: 3.7873, mean_absolute_error: 0.4212, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 0.9641, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.469, root_relative_squared_error: 1.0049, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6324, f_measure: 0.662, kappa: 0.2019, kb_relative_information_score: 20.6143, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.6574, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 0.7671, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5313, root_relative_squared_error: 1.1383, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, f_measure: 0.639, kappa: 0.1529, kb_relative_information_score: 14.0344, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.6326, predictive_accuracy: 0.6509, prior_entropy: 0.9088, recall: 0.6509, relative_absolute_error: 0.8236, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5626, root_relative_squared_error: 1.2053, scimark_benchmark: 1834.908, usercpu_time_millis: 421.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 406.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5772, f_measure: 0.6544, kappa: 0.1956, kb_relative_information_score: 15.0101, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.6502, predictive_accuracy: 0.6604, prior_entropy: 0.9088, recall: 0.6604, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5833, root_relative_squared_error: 1.2496, scimark_benchmark: 1834.908, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,

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