Task
Supervised Classification on chscase_census2

Supervised Classification on chscase_census2

Task 3772 Supervised Classification chscase_census2 565 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5318, f_measure: 0.5213, kappa: 0.0436, kb_relative_information_score: 5.2539, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.522, predictive_accuracy: 0.5225, prior_entropy: 0.9998, recall: 0.5225, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5031, root_relative_squared_error: 1.0063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4892, f_measure: 0.5004, kappa: 0.0069, kb_relative_information_score: -2.7753, mean_absolute_error: 0.5029, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.5037, predictive_accuracy: 0.5025, prior_entropy: 0.9998, recall: 0.5025, relative_absolute_error: 1.0061, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5117, root_relative_squared_error: 1.0236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4713, f_measure: 0.481, kappa: -0.0333, kb_relative_information_score: -12.1961, mean_absolute_error: 0.5143, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.4832, predictive_accuracy: 0.4825, prior_entropy: 0.9998, recall: 0.4825, relative_absolute_error: 1.0289, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5309, root_relative_squared_error: 1.0619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4669, f_measure: 0.4655, kappa: -0.0514, kb_relative_information_score: -5.0606, mean_absolute_error: 0.5046, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.4728, predictive_accuracy: 0.4725, prior_entropy: 0.9998, recall: 0.4725, relative_absolute_error: 1.0094, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5081, root_relative_squared_error: 1.0162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5464, f_measure: 0.5318, kappa: 0.0763, kb_relative_information_score: 11.655, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.5408, predictive_accuracy: 0.54, prior_entropy: 0.9998, recall: 0.54, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5081, root_relative_squared_error: 1.0163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.541, f_measure: 0.5448, kappa: 0.0894, kb_relative_information_score: 19.0077, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.5448, predictive_accuracy: 0.545, prior_entropy: 0.9998, recall: 0.545, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5276, root_relative_squared_error: 1.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.4706, kappa: -0.0118, kb_relative_information_score: 0.1755, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.4928, predictive_accuracy: 0.4975, prior_entropy: 0.9998, recall: 0.4975, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.489, f_measure: 0.505, kappa: 0.0101, kb_relative_information_score: -2.0295, mean_absolute_error: 0.5019, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.5052, predictive_accuracy: 0.505, prior_entropy: 0.9998, recall: 0.505, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5137, root_relative_squared_error: 1.0275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4678, f_measure: 0.5022, kappa: 0.0043, kb_relative_information_score: -3.8841, mean_absolute_error: 0.5036, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.5022, predictive_accuracy: 0.5025, prior_entropy: 0.9998, recall: 0.5025, relative_absolute_error: 1.0075, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5064, root_relative_squared_error: 1.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5163, f_measure: 0.5, kappa: -0.0004, kb_relative_information_score: 2.0991, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.4999, predictive_accuracy: 0.5, prior_entropy: 0.9998, recall: 0.5, relative_absolute_error: 0.9916, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6201, root_relative_squared_error: 1.2403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, f_measure: 0.5108, kappa: 0.0268, kb_relative_information_score: -3.2658, mean_absolute_error: 0.5039, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.5137, predictive_accuracy: 0.5125, prior_entropy: 0.9998, recall: 0.5125, relative_absolute_error: 1.0081, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5352, f_measure: 0.548, kappa: 0.0982, kb_relative_information_score: 12.7075, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.5499, predictive_accuracy: 0.55, prior_entropy: 0.9998, recall: 0.55, relative_absolute_error: 0.9742, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5287, root_relative_squared_error: 1.0575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.3417, kb_relative_information_score: -0.034, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.2576, predictive_accuracy: 0.5075, prior_entropy: 0.9998, recall: 0.5075, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4917, f_measure: 0.47, kappa: -0.0072, kb_relative_information_score: -2.1631, mean_absolute_error: 0.5018, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.4955, predictive_accuracy: 0.5, prior_entropy: 0.9998, recall: 0.5, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.1815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5417, f_measure: 0.5186, kappa: 0.0424, kb_relative_information_score: 10.9357, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.5219, predictive_accuracy: 0.5225, prior_entropy: 0.9998, recall: 0.5225, relative_absolute_error: 0.9767, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5108, root_relative_squared_error: 1.0218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5274, f_measure: 0.5139, kappa: 0.0286, kb_relative_information_score: 4.2873, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.5145, predictive_accuracy: 0.515, prior_entropy: 0.9998, recall: 0.515, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.0089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.3417, kb_relative_information_score: -0.034, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.2576, predictive_accuracy: 0.5075, prior_entropy: 0.9998, recall: 0.5075, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.3417, kb_relative_information_score: -0.0335, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.2576, predictive_accuracy: 0.5075, prior_entropy: 0.9998, recall: 0.5075, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4318, f_measure: 0.4323, kappa: -0.1343, kb_relative_information_score: -21.7096, mean_absolute_error: 0.5226, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.4328, predictive_accuracy: 0.4325, prior_entropy: 0.9998, recall: 0.4325, relative_absolute_error: 1.0454, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5592, root_relative_squared_error: 1.1184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5394, f_measure: 0.5448, kappa: 0.0894, kb_relative_information_score: 13.2566, mean_absolute_error: 0.4865, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.5448, predictive_accuracy: 0.545, prior_entropy: 0.9998, recall: 0.545, relative_absolute_error: 0.9732, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5339, root_relative_squared_error: 1.0678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4774, f_measure: 0.471, kappa: -0.0473, kb_relative_information_score: -8.2309, mean_absolute_error: 0.5095, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.4756, predictive_accuracy: 0.475, prior_entropy: 0.9998, recall: 0.475, relative_absolute_error: 1.0192, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5243, root_relative_squared_error: 1.0487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4726, f_measure: 0.4616, kappa: -0.055, kb_relative_information_score: -20.1357, mean_absolute_error: 0.525, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.4699, predictive_accuracy: 0.475, prior_entropy: 0.9998, recall: 0.475, relative_absolute_error: 1.0502, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7246, root_relative_squared_error: 1.4493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4847, f_measure: 0.506, kappa: 0.0166, kb_relative_information_score: -4.9735, mean_absolute_error: 0.5057, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.5086, predictive_accuracy: 0.5075, prior_entropy: 0.9998, recall: 0.5075, relative_absolute_error: 1.0117, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5179, root_relative_squared_error: 1.0358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5472, f_measure: 0.5175, kappa: 0.0349, kb_relative_information_score: 13.1839, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.5175, predictive_accuracy: 0.5175, prior_entropy: 0.9998, recall: 0.5175, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5065, root_relative_squared_error: 1.0131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.4903, kappa: 0.0096, kb_relative_information_score: 1.7003, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.5055, predictive_accuracy: 0.5025, prior_entropy: 0.9998, recall: 0.5025, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5024, root_relative_squared_error: 1.0049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.4903, kappa: 0.0096, kb_relative_information_score: 1.7003, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.5055, predictive_accuracy: 0.5025, prior_entropy: 0.9998, recall: 0.5025, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5024, root_relative_squared_error: 1.0049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4771, f_measure: 0.4682, kappa: -0.0522, kb_relative_information_score: -8.2733, mean_absolute_error: 0.5095, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.473, predictive_accuracy: 0.4725, prior_entropy: 0.9998, recall: 0.4725, relative_absolute_error: 1.0193, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5243, root_relative_squared_error: 1.0488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4781, f_measure: 0.4873, kappa: -0.0244, kb_relative_information_score: -1.4796, mean_absolute_error: 0.5006, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.4879, predictive_accuracy: 0.4875, prior_entropy: 0.9998, recall: 0.4875, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5282, root_relative_squared_error: 1.0566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3417, kb_relative_information_score: 5.8727, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.2576, predictive_accuracy: 0.5075, prior_entropy: 0.9998, recall: 0.5075, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7018, root_relative_squared_error: 1.4037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3417, kb_relative_information_score: 5.8727, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.2576, predictive_accuracy: 0.5075, prior_entropy: 0.9998, recall: 0.5075, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7018, root_relative_squared_error: 1.4037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5075, f_measure: 0.5145, kappa: 0.0291, kb_relative_information_score: 2.7345, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.5147, predictive_accuracy: 0.515, prior_entropy: 0.9998, recall: 0.515, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5465, root_relative_squared_error: 1.0932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4774, f_measure: 0.471, kappa: -0.0473, kb_relative_information_score: -8.2309, mean_absolute_error: 0.5095, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.4756, predictive_accuracy: 0.475, prior_entropy: 0.9998, recall: 0.475, relative_absolute_error: 1.0192, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5243, root_relative_squared_error: 1.0487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4599, f_measure: 0.4754, kappa: -0.0112, kb_relative_information_score: -2.8132, mean_absolute_error: 0.5027, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.4935, predictive_accuracy: 0.4975, prior_entropy: 0.9998, recall: 0.4975, relative_absolute_error: 1.0056, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.0078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5598, f_measure: 0.5332, kappa: 0.0717, kb_relative_information_score: 19.6129, mean_absolute_error: 0.478, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.5367, predictive_accuracy: 0.535, prior_entropy: 0.9998, recall: 0.535, relative_absolute_error: 0.9562, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.0367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, f_measure: 0.5025, kappa: 0.005, kb_relative_information_score: 1.8714, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.5026, predictive_accuracy: 0.5025, prior_entropy: 0.9998, recall: 0.5025, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7053, root_relative_squared_error: 1.4108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4808, f_measure: 0.4786, kappa: -0.0384, kb_relative_information_score: -16.1344, mean_absolute_error: 0.52, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.4807, predictive_accuracy: 0.48, prior_entropy: 0.9998, recall: 0.48, relative_absolute_error: 1.0402, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7211, root_relative_squared_error: 1.4424, scimark_benchmark: 1280.301, usercpu_time_millis: 29078.125, usercpu_time_millis_training: 29078.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4872, kappa: -0.0258, kb_relative_information_score: -10.1324, mean_absolute_error: 0.5125, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.4872, predictive_accuracy: 0.4875, prior_entropy: 0.9998, recall: 0.4875, relative_absolute_error: 1.0252, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7159, root_relative_squared_error: 1.4319, scimark_benchmark: 1280.301, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5543, f_measure: 0.536, kappa: 0.1093, kb_relative_information_score: 45.8856, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.5663, predictive_accuracy: 0.5575, prior_entropy: 0.9998, recall: 0.5575, relative_absolute_error: 0.8852, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6652, root_relative_squared_error: 1.3306, scimark_benchmark: 1461.2356, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3417, kb_relative_information_score: 5.8727, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.2576, predictive_accuracy: 0.5075, prior_entropy: 0.9998, recall: 0.5075, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7018, root_relative_squared_error: 1.4037, scimark_benchmark: 1461.2356, 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: 0.5072, f_measure: 0.3417, kb_relative_information_score: 7.3243, mean_absolute_error: 0.4904, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.2576, predictive_accuracy: 0.5075, prior_entropy: 0.9998, recall: 0.5075, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.51, root_relative_squared_error: 1.02, scimark_benchmark: 1787.9841, usercpu_time_millis: 984.375, usercpu_time_millis_training: 984.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5072, f_measure: 0.3417, kb_relative_information_score: 7.3243, mean_absolute_error: 0.4904, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.2576, predictive_accuracy: 0.5075, prior_entropy: 0.9998, recall: 0.5075, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.51, root_relative_squared_error: 1.02, scimark_benchmark: 1349.4525, usercpu_time_millis: 1340, usercpu_time_millis_training: 1340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3417, kb_relative_information_score: 5.8727, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.2576, predictive_accuracy: 0.5075, prior_entropy: 0.9998, recall: 0.5075, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7018, root_relative_squared_error: 1.4037, scimark_benchmark: 1553.5493, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4808, f_measure: 0.4786, kappa: -0.0384, kb_relative_information_score: -16.1344, mean_absolute_error: 0.52, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.4807, predictive_accuracy: 0.48, prior_entropy: 0.9998, recall: 0.48, relative_absolute_error: 1.0402, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7211, root_relative_squared_error: 1.4424, scimark_benchmark: 1392.0671, usercpu_time_millis: 38870, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 38860,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.3814, kappa: 0.0015, kb_relative_information_score: 5.8727, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.504, predictive_accuracy: 0.5075, prior_entropy: 0.9998, recall: 0.5075, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7018, root_relative_squared_error: 1.4037, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4828, f_measure: 0.4735, kappa: -0.0346, kb_relative_information_score: -12.1331, mean_absolute_error: 0.515, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.4813, predictive_accuracy: 0.485, prior_entropy: 0.9998, recall: 0.485, relative_absolute_error: 1.0302, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7176, root_relative_squared_error: 1.4354, scimark_benchmark: 1572.5248, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5318, f_measure: 0.5213, kappa: 0.0436, kb_relative_information_score: 5.2539, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.522, predictive_accuracy: 0.5225, prior_entropy: 0.9998, recall: 0.5225, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5031, root_relative_squared_error: 1.0063, scimark_benchmark: 1000.595, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4269, f_measure: 0.4608, kappa: -0.0449, kb_relative_information_score: -17.9775, mean_absolute_error: 0.5188, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.4748, predictive_accuracy: 0.475, prior_entropy: 0.9998, recall: 0.475, relative_absolute_error: 1.0378, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5374, root_relative_squared_error: 1.0749, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4851, f_measure: 0.4663, kappa: -0.003, kb_relative_information_score: -6.4399, mean_absolute_error: 0.5071, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.4982, predictive_accuracy: 0.495, prior_entropy: 0.9998, recall: 0.495, relative_absolute_error: 1.0144, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6191, root_relative_squared_error: 1.2383, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5237, f_measure: 0.4834, kappa: 0.0266, kb_relative_information_score: 12.8482, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.5171, predictive_accuracy: 0.51, prior_entropy: 0.9998, recall: 0.51, relative_absolute_error: 0.9678, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.601, root_relative_squared_error: 1.2022, 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: 0.5229, f_measure: 0.494, kappa: 0.0089, kb_relative_information_score: 6.4049, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.5049, predictive_accuracy: 0.5025, prior_entropy: 0.9998, recall: 0.5025, relative_absolute_error: 0.9857, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5189, root_relative_squared_error: 1.038, 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: 0.4386, f_measure: 0.4449, kappa: -0.1096, kb_relative_information_score: -20.1382, mean_absolute_error: 0.5216, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.4452, predictive_accuracy: 0.445, prior_entropy: 0.9998, recall: 0.445, relative_absolute_error: 1.0434, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5591, root_relative_squared_error: 1.1183, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5394, f_measure: 0.5448, kappa: 0.0894, kb_relative_information_score: 13.2566, mean_absolute_error: 0.4865, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.5448, predictive_accuracy: 0.545, prior_entropy: 0.9998, recall: 0.545, relative_absolute_error: 0.9732, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5339, root_relative_squared_error: 1.0678, 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: 0.5148, f_measure: 0.515, kappa: 0.0296, kb_relative_information_score: 11.8746, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.5149, predictive_accuracy: 0.515, prior_entropy: 0.9998, recall: 0.515, relative_absolute_error: 0.9702, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6964, root_relative_squared_error: 1.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5227, f_measure: 0.5045, kappa: 0.0451, kb_relative_information_score: 15.8759, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.5262, predictive_accuracy: 0.52, prior_entropy: 0.9998, recall: 0.52, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.4911, kappa: -0.0127, kb_relative_information_score: -4.1305, mean_absolute_error: 0.505, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.4936, predictive_accuracy: 0.495, prior_entropy: 0.9998, recall: 0.495, relative_absolute_error: 1.0102, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7106, root_relative_squared_error: 1.4214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.4256, kappa: -0.006, kb_relative_information_score: 1.8714, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.4938, predictive_accuracy: 0.5025, prior_entropy: 0.9998, recall: 0.5025, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7053, root_relative_squared_error: 1.4108, 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: 0.4849, f_measure: 0.485, kappa: -0.0302, kb_relative_information_score: -12.1331, mean_absolute_error: 0.515, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.485, predictive_accuracy: 0.485, prior_entropy: 0.9998, recall: 0.485, relative_absolute_error: 1.0302, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7176, root_relative_squared_error: 1.4354, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4917, f_measure: 0.4962, kappa: -0.0026, kb_relative_information_score: -2.8048, mean_absolute_error: 0.503, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.4988, predictive_accuracy: 0.5, prior_entropy: 0.9998, recall: 0.5, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5093, root_relative_squared_error: 1.0188, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5162, f_measure: 0.5125, kappa: 0.0247, kb_relative_information_score: 6.1362, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.5125, predictive_accuracy: 0.5125, prior_entropy: 0.9998, recall: 0.5125, relative_absolute_error: 0.9859, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5482, root_relative_squared_error: 1.0966, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.519, f_measure: 0.4964, kappa: 0.0083, kb_relative_information_score: 1.1398, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.5045, predictive_accuracy: 0.5025, prior_entropy: 0.9998, recall: 0.5025, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.517, root_relative_squared_error: 1.0341, 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