Task
Supervised Classification on chscase_census3

Supervised Classification on chscase_census3

Task 3771 Supervised Classification chscase_census3 568 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4252, f_measure: 0.4485, kappa: -0.1049, kb_relative_information_score: -14.1326, mean_absolute_error: 0.5134, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4482, predictive_accuracy: 0.45, prior_entropy: 0.9989, recall: 0.45, relative_absolute_error: 1.0285, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5216, root_relative_squared_error: 1.0439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4771, f_measure: 0.4899, kappa: -0.022, kb_relative_information_score: -5.2764, mean_absolute_error: 0.5045, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4898, predictive_accuracy: 0.49, prior_entropy: 0.9989, recall: 0.49, relative_absolute_error: 1.0106, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5114, root_relative_squared_error: 1.0237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.467, f_measure: 0.4548, kappa: -0.0497, kb_relative_information_score: -8.7842, mean_absolute_error: 0.5089, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4701, predictive_accuracy: 0.485, prior_entropy: 0.9989, recall: 0.485, relative_absolute_error: 1.0193, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5194, root_relative_squared_error: 1.0396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4848, f_measure: 0.4548, kappa: -0.0497, kb_relative_information_score: -3.5069, mean_absolute_error: 0.5027, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4701, predictive_accuracy: 0.485, prior_entropy: 0.9989, recall: 0.485, relative_absolute_error: 1.007, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5082, root_relative_squared_error: 1.0172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, f_measure: 0.4899, kappa: -0.022, kb_relative_information_score: -6.46, mean_absolute_error: 0.5056, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4898, predictive_accuracy: 0.49, prior_entropy: 0.9989, recall: 0.49, relative_absolute_error: 1.0128, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5186, root_relative_squared_error: 1.0381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4917, f_measure: 0.5117, kappa: 0.0234, kb_relative_information_score: 3.8841, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.5127, predictive_accuracy: 0.515, prior_entropy: 0.9989, recall: 0.515, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5468, root_relative_squared_error: 1.0945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.022, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.461, f_measure: 0.4643, kappa: -0.0583, kb_relative_information_score: -5.9766, mean_absolute_error: 0.5048, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4692, predictive_accuracy: 0.4775, prior_entropy: 0.9989, recall: 0.4775, relative_absolute_error: 1.0111, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5123, root_relative_squared_error: 1.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4922, f_measure: 0.5073, kappa: 0.0394, kb_relative_information_score: 0.0995, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.5236, predictive_accuracy: 0.5275, prior_entropy: 0.9989, recall: 0.5275, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5024, root_relative_squared_error: 1.0056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.486, kappa: -0.0274, kb_relative_information_score: -4.3686, mean_absolute_error: 0.5031, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4868, predictive_accuracy: 0.49, prior_entropy: 0.9989, recall: 0.49, relative_absolute_error: 1.0079, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.626, root_relative_squared_error: 1.2529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, f_measure: 0.4814, kappa: 0.0456, kb_relative_information_score: 1.6788, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.5374, predictive_accuracy: 0.535, prior_entropy: 0.9989, recall: 0.535, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4829, f_measure: 0.4942, kappa: -0.0136, kb_relative_information_score: -6.4771, mean_absolute_error: 0.5068, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.494, predictive_accuracy: 0.495, prior_entropy: 0.9989, recall: 0.495, relative_absolute_error: 1.0152, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5405, root_relative_squared_error: 1.0819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0271, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4812, f_measure: 0.4741, kappa: -0.0457, kb_relative_information_score: -7.1482, mean_absolute_error: 0.507, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4769, predictive_accuracy: 0.4825, prior_entropy: 0.9989, recall: 0.4825, relative_absolute_error: 1.0156, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5834, root_relative_squared_error: 1.1678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4438, f_measure: 0.4541, kappa: -0.0939, kb_relative_information_score: -11.643, mean_absolute_error: 0.5107, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4538, predictive_accuracy: 0.455, prior_entropy: 0.9989, recall: 0.455, relative_absolute_error: 1.023, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5233, root_relative_squared_error: 1.0474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.477, f_measure: 0.4773, kappa: -0.0463, kb_relative_information_score: -4.7437, mean_absolute_error: 0.5039, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4774, predictive_accuracy: 0.48, prior_entropy: 0.9989, recall: 0.48, relative_absolute_error: 1.0093, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5112, root_relative_squared_error: 1.0232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0271, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.022, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4504, f_measure: 0.4713, kappa: -0.0595, kb_relative_information_score: -17.8131, mean_absolute_error: 0.5194, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.471, predictive_accuracy: 0.4725, prior_entropy: 0.9989, recall: 0.4725, relative_absolute_error: 1.0404, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5594, root_relative_squared_error: 1.1197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.5117, kappa: 0.0234, kb_relative_information_score: -2.3093, mean_absolute_error: 0.5035, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.5127, predictive_accuracy: 0.515, prior_entropy: 0.9989, recall: 0.515, relative_absolute_error: 1.0086, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5464, root_relative_squared_error: 1.0938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.022, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4652, f_measure: 0.4652, kappa: -0.0579, kb_relative_information_score: -5.3032, mean_absolute_error: 0.5044, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4697, predictive_accuracy: 0.4775, prior_entropy: 0.9989, recall: 0.4775, relative_absolute_error: 1.0105, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4759, f_measure: 0.4972, kappa: 0.0073, kb_relative_information_score: -2.7787, mean_absolute_error: 0.5019, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.5048, predictive_accuracy: 0.51, prior_entropy: 0.9989, recall: 0.51, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5069, root_relative_squared_error: 1.0146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4698, f_measure: 0.4239, kappa: -0.062, kb_relative_information_score: -14.9523, mean_absolute_error: 0.5175, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4515, predictive_accuracy: 0.4825, prior_entropy: 0.9989, recall: 0.4825, relative_absolute_error: 1.0367, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.7194, root_relative_squared_error: 1.4399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.022, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4649, f_measure: 0.4643, kappa: -0.0583, kb_relative_information_score: -5.3091, mean_absolute_error: 0.5044, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4692, predictive_accuracy: 0.4775, prior_entropy: 0.9989, recall: 0.4775, relative_absolute_error: 1.0105, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4814, f_measure: 0.4916, kappa: -0.0189, kb_relative_information_score: -4.3648, mean_absolute_error: 0.5036, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4914, predictive_accuracy: 0.4925, prior_entropy: 0.9989, recall: 0.4925, relative_absolute_error: 1.0089, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.513, root_relative_squared_error: 1.0268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3558, kb_relative_information_score: 15.1164, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4586, f_measure: 0.4823, kappa: -0.0373, kb_relative_information_score: -15.0264, mean_absolute_error: 0.5157, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4822, predictive_accuracy: 0.4825, prior_entropy: 0.9989, recall: 0.4825, relative_absolute_error: 1.033, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5648, root_relative_squared_error: 1.1305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.471, f_measure: 0.4668, kappa: -0.0668, kb_relative_information_score: -6.4676, mean_absolute_error: 0.5053, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4669, predictive_accuracy: 0.47, prior_entropy: 0.9989, recall: 0.47, relative_absolute_error: 1.0122, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5205, root_relative_squared_error: 1.0419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3558, kb_relative_information_score: 15.1164, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4649, f_measure: 0.4643, kappa: -0.0583, kb_relative_information_score: -5.3091, mean_absolute_error: 0.5044, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4692, predictive_accuracy: 0.4775, prior_entropy: 0.9989, recall: 0.4775, relative_absolute_error: 1.0105, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, f_measure: 0.5075, kappa: 0.0276, kb_relative_information_score: -0.599, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.5158, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4601, f_measure: 0.4639, kappa: -0.0623, kb_relative_information_score: -12.0893, mean_absolute_error: 0.5115, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4676, predictive_accuracy: 0.475, prior_entropy: 0.9989, recall: 0.475, relative_absolute_error: 1.0246, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5475, root_relative_squared_error: 1.0959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, f_measure: 0.5026, kappa: 0.006, kb_relative_information_score: 1.0843, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.5038, predictive_accuracy: 0.5025, prior_entropy: 0.9989, recall: 0.5025, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.7053, root_relative_squared_error: 1.4118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5092, f_measure: 0.5047, kappa: 0.0186, kb_relative_information_score: 11.1072, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.5107, predictive_accuracy: 0.515, prior_entropy: 0.9989, recall: 0.515, relative_absolute_error: 0.9715, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6964, root_relative_squared_error: 1.394, scimark_benchmark: 1280.301, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4894, f_measure: 0.3779, kappa: -0.022, kb_relative_information_score: 5.0935, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4443, predictive_accuracy: 0.5075, prior_entropy: 0.9989, recall: 0.5075, relative_absolute_error: 0.9866, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.7018, root_relative_squared_error: 1.4047, scimark_benchmark: 1280.301, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3558, kb_relative_information_score: 15.1164, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3868, scimark_benchmark: 1461.2356, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3558, kb_relative_information_score: 15.1164, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3868, scimark_benchmark: 1461.2356, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4898, f_measure: 0.3886, kappa: -0.0085, kb_relative_information_score: -4.7686, mean_absolute_error: 0.5038, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4892, predictive_accuracy: 0.48, prior_entropy: 0.9989, recall: 0.48, relative_absolute_error: 1.0092, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5217, root_relative_squared_error: 1.0443, scimark_benchmark: 1787.9841, usercpu_time_millis: 1000, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4898, f_measure: 0.3886, kappa: -0.0085, kb_relative_information_score: -4.7686, mean_absolute_error: 0.5038, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4892, predictive_accuracy: 0.48, prior_entropy: 0.9989, recall: 0.48, relative_absolute_error: 1.0092, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5217, root_relative_squared_error: 1.0443, scimark_benchmark: 1559.1368, usercpu_time_millis: 1290, usercpu_time_millis_training: 1290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3558, kb_relative_information_score: 15.1164, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3868, scimark_benchmark: 1642.0123, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4748, f_measure: 0.4294, kappa: -0.0517, kb_relative_information_score: -10.9432, mean_absolute_error: 0.5125, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4596, predictive_accuracy: 0.4875, prior_entropy: 0.9989, recall: 0.4875, relative_absolute_error: 1.0266, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.7159, root_relative_squared_error: 1.4329, scimark_benchmark: 1501.9167, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4922, f_measure: 0.4814, kappa: -0.0307, kb_relative_information_score: -1.4951, mean_absolute_error: 0.5006, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4847, predictive_accuracy: 0.49, prior_entropy: 0.9989, recall: 0.49, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5062, root_relative_squared_error: 1.0131, scimark_benchmark: 1093.7809, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4252, f_measure: 0.4485, kappa: -0.1049, kb_relative_information_score: -14.1326, mean_absolute_error: 0.5134, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4482, predictive_accuracy: 0.45, prior_entropy: 0.9989, recall: 0.45, relative_absolute_error: 1.0285, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5216, root_relative_squared_error: 1.0439, scimark_benchmark: 948.529, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4624, f_measure: 0.4507, kappa: -0.0878, kb_relative_information_score: -8.8761, mean_absolute_error: 0.5079, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4538, predictive_accuracy: 0.4625, prior_entropy: 0.9989, recall: 0.4625, relative_absolute_error: 1.0174, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5276, root_relative_squared_error: 1.0561, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4324, f_measure: 0.426, kappa: -0.0927, kb_relative_information_score: -34.019, mean_absolute_error: 0.5407, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4399, predictive_accuracy: 0.465, prior_entropy: 0.9989, recall: 0.465, relative_absolute_error: 1.0832, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6395, root_relative_squared_error: 1.2801, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.4666, kappa: 0.0061, kb_relative_information_score: 1.0689, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.5054, predictive_accuracy: 0.515, prior_entropy: 0.9989, recall: 0.515, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6067, root_relative_squared_error: 1.2144, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4459, f_measure: 0.4279, kappa: -0.1135, kb_relative_information_score: -14.6442, mean_absolute_error: 0.5145, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4345, predictive_accuracy: 0.4525, prior_entropy: 0.9989, recall: 0.4525, relative_absolute_error: 1.0306, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5365, root_relative_squared_error: 1.0738, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4522, f_measure: 0.4741, kappa: -0.0538, kb_relative_information_score: -17.4975, mean_absolute_error: 0.5191, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4739, predictive_accuracy: 0.475, prior_entropy: 0.9989, recall: 0.475, relative_absolute_error: 1.0398, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5591, root_relative_squared_error: 1.1191, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.5117, kappa: 0.0234, kb_relative_information_score: -2.3093, mean_absolute_error: 0.5035, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.5127, predictive_accuracy: 0.515, prior_entropy: 0.9989, recall: 0.515, relative_absolute_error: 1.0086, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5464, root_relative_squared_error: 1.0938, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4375, f_measure: 0.4382, kappa: -0.1254, kb_relative_information_score: -49.0302, mean_absolute_error: 0.56, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4378, predictive_accuracy: 0.44, prior_entropy: 0.9989, recall: 0.44, relative_absolute_error: 1.1218, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.7483, root_relative_squared_error: 1.4979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4517, f_measure: 0.4208, kappa: -0.0985, kb_relative_information_score: -30.9889, mean_absolute_error: 0.5375, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4347, predictive_accuracy: 0.4625, prior_entropy: 0.9989, recall: 0.4625, relative_absolute_error: 1.0767, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.7331, root_relative_squared_error: 1.4675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.3675, kappa: -0.0037, kb_relative_information_score: 13.1118, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4756, predictive_accuracy: 0.5175, prior_entropy: 0.9989, recall: 0.5175, relative_absolute_error: 0.9665, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6946, root_relative_squared_error: 1.3904, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.4947, kappa: -0.0113, kb_relative_information_score: -2.9248, mean_absolute_error: 0.5025, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4951, predictive_accuracy: 0.4975, prior_entropy: 0.9989, recall: 0.4975, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.7089, root_relative_squared_error: 1.4189, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4803, f_measure: 0.485, kappa: 0.0024, kb_relative_information_score: -1.3824, mean_absolute_error: 0.5005, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.5023, predictive_accuracy: 0.51, prior_entropy: 0.9989, recall: 0.51, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0278, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4637, f_measure: 0.4495, kappa: -0.0599, kb_relative_information_score: -8.4992, mean_absolute_error: 0.508, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4638, predictive_accuracy: 0.48, prior_entropy: 0.9989, recall: 0.48, relative_absolute_error: 1.0175, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.544, root_relative_squared_error: 1.0889, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4589, f_measure: 0.4222, kappa: -0.0066, kb_relative_information_score: -4.8591, mean_absolute_error: 0.5048, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4927, predictive_accuracy: 0.5125, prior_entropy: 0.9989, recall: 0.5125, relative_absolute_error: 1.0111, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5108, root_relative_squared_error: 1.0224, scimark_benchmark: 1870.7932,

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