OpenML
Supervised Classification on numerai28.6

Supervised Classification on numerai28.6

Task 167120 Supervised Classification numerai28.6 3035 runs submitted
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  • OpenML-CC18 study_218 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5076, f_measure: 0.5072, kappa: 0.0143, kb_relative_information_score: 0.0059, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5072, predictive_accuracy: 0.5073, prior_entropy: 0.9999, recall: 0.5073, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5476, root_relative_squared_error: 1.0952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5291, f_measure: 0.5121, kappa: 0.04, kb_relative_information_score: 0.0032, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5215, predictive_accuracy: 0.5213, prior_entropy: 0.9999, recall: 0.5213, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5226, f_measure: 0.5136, kappa: 0.0321, kb_relative_information_score: 0.0048, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5165, predictive_accuracy: 0.5169, prior_entropy: 0.9999, recall: 0.5169, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, f_measure: 0.5105, kappa: 0.0334, kb_relative_information_score: 0.0039, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5177, predictive_accuracy: 0.5179, prior_entropy: 0.9999, recall: 0.5179, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5269, f_measure: 0.5132, kappa: 0.0355, kb_relative_information_score: 0.0045, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5186, predictive_accuracy: 0.5188, prior_entropy: 0.9999, recall: 0.5188, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5154, f_measure: 0.5111, kappa: 0.0228, kb_relative_information_score: 0.0063, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5115, predictive_accuracy: 0.5118, prior_entropy: 0.9999, recall: 0.5118, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5074, root_relative_squared_error: 1.0148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5195, f_measure: 0.5128, kappa: 0.0281, kb_relative_information_score: 0.005, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5143, predictive_accuracy: 0.5147, prior_entropy: 0.9999, recall: 0.5147, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5278, f_measure: 0.5055, kappa: 0.0346, kb_relative_information_score: 0.0026, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5193, predictive_accuracy: 0.519, prior_entropy: 0.9999, recall: 0.519, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5291, f_measure: 0.5162, kappa: 0.0401, kb_relative_information_score: 0.0049, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5209, predictive_accuracy: 0.5211, prior_entropy: 0.9999, recall: 0.5211, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5289, f_measure: 0.5148, kappa: 0.0387, kb_relative_information_score: 0.0045, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5202, predictive_accuracy: 0.5204, prior_entropy: 0.9999, recall: 0.5204, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5199, f_measure: 0.5127, kappa: 0.0279, kb_relative_information_score: 0.0052, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5142, predictive_accuracy: 0.5145, prior_entropy: 0.9999, recall: 0.5145, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5072, f_measure: 0.5065, kappa: 0.0129, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5065, predictive_accuracy: 0.5066, prior_entropy: 0.9999, recall: 0.5066, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5659, root_relative_squared_error: 1.1319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5219, f_measure: 0.5155, kappa: 0.033, kb_relative_information_score: 0.0053, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5167, predictive_accuracy: 0.5171, prior_entropy: 0.9999, recall: 0.5171, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5197, f_measure: 0.5131, kappa: 0.0297, kb_relative_information_score: 0.0047, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5151, predictive_accuracy: 0.5155, prior_entropy: 0.9999, recall: 0.5155, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, f_measure: 0.5113, kappa: 0.0246, kb_relative_information_score: 0.0047, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5125, predictive_accuracy: 0.5129, prior_entropy: 0.9999, recall: 0.5129, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5242, f_measure: 0.5146, kappa: 0.0331, kb_relative_information_score: 0.0051, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5169, predictive_accuracy: 0.5173, prior_entropy: 0.9999, recall: 0.5173, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, f_measure: 0.5039, kappa: 0.0077, kb_relative_information_score: 0.0045, mean_absolute_error: 0.4979, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5039, predictive_accuracy: 0.504, prior_entropy: 0.9999, recall: 0.504, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5664, root_relative_squared_error: 1.1329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5213, f_measure: 0.5128, kappa: 0.0294, kb_relative_information_score: 0.0048, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.515, predictive_accuracy: 0.5154, prior_entropy: 0.9999, recall: 0.5154, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.521, f_measure: 0.5134, kappa: 0.03, kb_relative_information_score: 0.0051, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5153, predictive_accuracy: 0.5157, prior_entropy: 0.9999, recall: 0.5157, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5156, f_measure: 0.5096, kappa: 0.02, kb_relative_information_score: 0.0056, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5101, predictive_accuracy: 0.5104, prior_entropy: 0.9999, recall: 0.5104, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5038, root_relative_squared_error: 1.0076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5139, f_measure: 0.5112, kappa: 0.0228, kb_relative_information_score: 0.0068, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5115, predictive_accuracy: 0.5117, prior_entropy: 0.9999, recall: 0.5117, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5151, f_measure: 0.5103, kappa: 0.0213, kb_relative_information_score: 0.0053, mean_absolute_error: 0.4979, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5108, predictive_accuracy: 0.5111, prior_entropy: 0.9999, recall: 0.5111, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5046, f_measure: 0.5036, kappa: 0.0071, kb_relative_information_score: 0.0056, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5036, predictive_accuracy: 0.5036, prior_entropy: 0.9999, recall: 0.5036, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5162, f_measure: 0.5104, kappa: 0.0232, kb_relative_information_score: 0.0045, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5118, predictive_accuracy: 0.5122, prior_entropy: 0.9999, recall: 0.5122, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5111, f_measure: 0.5082, kappa: 0.0166, kb_relative_information_score: 0.0067, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5083, predictive_accuracy: 0.5085, prior_entropy: 0.9999, recall: 0.5085, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.0322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5092, f_measure: 0.5086, kappa: 0.0184, kb_relative_information_score: 0.0177, mean_absolute_error: 0.4911, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5093, predictive_accuracy: 0.5089, prior_entropy: 0.9999, recall: 0.5089, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7008, root_relative_squared_error: 1.4016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5124, f_measure: 0.508, kappa: 0.0168, kb_relative_information_score: 0.0046, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5085, predictive_accuracy: 0.5088, prior_entropy: 0.9999, recall: 0.5088, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.506, root_relative_squared_error: 1.0121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.524, f_measure: 0.5148, kappa: 0.0335, kb_relative_information_score: 0.0052, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5171, predictive_accuracy: 0.5175, prior_entropy: 0.9999, recall: 0.5175, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5076, f_measure: 0.5072, kappa: 0.0144, kb_relative_information_score: 0.0048, mean_absolute_error: 0.4979, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5073, predictive_accuracy: 0.5075, prior_entropy: 0.9999, recall: 0.5075, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5268, root_relative_squared_error: 1.0537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5175, f_measure: 0.512, kappa: 0.0258, kb_relative_information_score: 0.005, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5131, predictive_accuracy: 0.5135, prior_entropy: 0.9999, recall: 0.5135, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.516, f_measure: 0.5094, kappa: 0.0195, kb_relative_information_score: 0.0054, mean_absolute_error: 0.4979, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5098, predictive_accuracy: 0.5101, prior_entropy: 0.9999, recall: 0.5101, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5031, root_relative_squared_error: 1.0063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5056, f_measure: 0.5038, kappa: 0.0075, kb_relative_information_score: 0.0066, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5038, predictive_accuracy: 0.5038, prior_entropy: 0.9999, recall: 0.5038, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6011, root_relative_squared_error: 1.2022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5274, f_measure: 0.5152, kappa: 0.0391, kb_relative_information_score: 0.0046, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5204, predictive_accuracy: 0.5206, prior_entropy: 0.9999, recall: 0.5206, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5231, f_measure: 0.5145, kappa: 0.0332, kb_relative_information_score: 0.005, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.517, predictive_accuracy: 0.5174, prior_entropy: 0.9999, recall: 0.5174, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5139, f_measure: 0.5091, kappa: 0.0185, kb_relative_information_score: 0.0059, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5093, predictive_accuracy: 0.5095, prior_entropy: 0.9999, recall: 0.5095, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5063, root_relative_squared_error: 1.0127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5205, f_measure: 0.514, kappa: 0.0295, kb_relative_information_score: 0.0057, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5149, predictive_accuracy: 0.5152, prior_entropy: 0.9999, recall: 0.5152, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5123, f_measure: 0.5085, kappa: 0.018, kb_relative_information_score: 0.0045, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5091, predictive_accuracy: 0.5094, prior_entropy: 0.9999, recall: 0.5094, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5047, root_relative_squared_error: 1.0095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5141, f_measure: 0.5102, kappa: 0.0208, kb_relative_information_score: 0.0056, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5105, predictive_accuracy: 0.5108, prior_entropy: 0.9999, recall: 0.5108, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5061, root_relative_squared_error: 1.0122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5115, f_measure: 0.5086, kappa: 0.0177, kb_relative_information_score: 0.0055, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5089, predictive_accuracy: 0.5092, prior_entropy: 0.9999, recall: 0.5092, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5083, root_relative_squared_error: 1.0167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5149, f_measure: 0.5118, kappa: 0.0239, kb_relative_information_score: 0.0039, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.512, predictive_accuracy: 0.5123, prior_entropy: 0.9999, recall: 0.5123, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5087, f_measure: 0.5049, kappa: 0.01, kb_relative_information_score: 0.0047, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5051, predictive_accuracy: 0.5053, prior_entropy: 0.9999, recall: 0.5053, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5109, root_relative_squared_error: 1.0218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5207, f_measure: 0.5138, kappa: 0.0299, kb_relative_information_score: 0.0056, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5152, predictive_accuracy: 0.5156, prior_entropy: 0.9999, recall: 0.5156, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5285, f_measure: 0.5126, kappa: 0.0399, kb_relative_information_score: 0.003, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5214, predictive_accuracy: 0.5213, prior_entropy: 0.9999, recall: 0.5213, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5167, f_measure: 0.5115, kappa: 0.0237, kb_relative_information_score: 0.0034, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.512, predictive_accuracy: 0.5123, prior_entropy: 0.9999, recall: 0.5123, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.528, f_measure: 0.5116, kappa: 0.0393, kb_relative_information_score: 0.0033, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5212, predictive_accuracy: 0.521, prior_entropy: 0.9999, recall: 0.521, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5063, f_measure: 0.5049, kappa: 0.0096, kb_relative_information_score: 0.0061, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5049, predictive_accuracy: 0.505, prior_entropy: 0.9999, recall: 0.505, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5543, root_relative_squared_error: 1.1086,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5193, f_measure: 0.5112, kappa: 0.0279, kb_relative_information_score: 0.0037, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5144, predictive_accuracy: 0.5148, prior_entropy: 0.9999, recall: 0.5148, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5104, f_measure: 0.5097, kappa: 0.0208, kb_relative_information_score: 0.0217, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5106, predictive_accuracy: 0.5109, prior_entropy: 0.9999, recall: 0.5109, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6993, root_relative_squared_error: 1.3988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5138, f_measure: 0.51, kappa: 0.0208, kb_relative_information_score: 0.0055, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5105, predictive_accuracy: 0.5108, prior_entropy: 0.9999, recall: 0.5108, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5088, root_relative_squared_error: 1.0177,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5221, f_measure: 0.5126, kappa: 0.0306, kb_relative_information_score: 0.0045, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5158, predictive_accuracy: 0.5162, prior_entropy: 0.9999, recall: 0.5162, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5221, f_measure: 0.5126, kappa: 0.0306, kb_relative_information_score: 0.0045, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5158, predictive_accuracy: 0.5162, prior_entropy: 0.9999, recall: 0.5162, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5221, f_measure: 0.5126, kappa: 0.0306, kb_relative_information_score: 0.0045, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5158, predictive_accuracy: 0.5162, prior_entropy: 0.9999, recall: 0.5162, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5221, f_measure: 0.5126, kappa: 0.0306, kb_relative_information_score: 0.0045, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5158, predictive_accuracy: 0.5162, prior_entropy: 0.9999, recall: 0.5162, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, f_measure: 0.5065, kappa: 0.0136, kb_relative_information_score: 0.0131, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5068, predictive_accuracy: 0.5066, prior_entropy: 0.9999, recall: 0.5066, relative_absolute_error: 0.9869, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7024, root_relative_squared_error: 1.4049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5102, f_measure: 0.5103, kappa: 0.0204, kb_relative_information_score: 0.0203, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5103, predictive_accuracy: 0.5102, prior_entropy: 0.9999, recall: 0.5102, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6998, root_relative_squared_error: 1.3997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5085, f_measure: 0.5085, kappa: 0.017, kb_relative_information_score: 0.0172, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5086, predictive_accuracy: 0.5087, prior_entropy: 0.9999, recall: 0.5087, relative_absolute_error: 0.9827, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7009, root_relative_squared_error: 1.4019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5084, f_measure: 0.5069, kappa: 0.0167, kb_relative_information_score: 0.0179, mean_absolute_error: 0.491, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5085, predictive_accuracy: 0.509, prior_entropy: 0.9999, recall: 0.509, relative_absolute_error: 0.982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7007, root_relative_squared_error: 1.4014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5088, f_measure: 0.5088, kappa: 0.0176, kb_relative_information_score: 0.018, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5089, predictive_accuracy: 0.5091, prior_entropy: 0.9999, recall: 0.5091, relative_absolute_error: 0.982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7007, root_relative_squared_error: 1.4014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5089, f_measure: 0.5089, kappa: 0.0178, kb_relative_information_score: 0.0176, mean_absolute_error: 0.4911, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5089, predictive_accuracy: 0.5089, prior_entropy: 0.9999, recall: 0.5089, relative_absolute_error: 0.9823, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7008, root_relative_squared_error: 1.4016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5065, f_measure: 0.501, kappa: 0.0131, kb_relative_information_score: 0.0153, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5069, predictive_accuracy: 0.5077, prior_entropy: 0.9999, recall: 0.5077, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7016, root_relative_squared_error: 1.4033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5077, f_measure: 0.5075, kappa: 0.0155, kb_relative_information_score: 0.0161, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5078, predictive_accuracy: 0.5081, prior_entropy: 0.9999, recall: 0.5081, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7013, root_relative_squared_error: 1.4028,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, f_measure: 0.5027, kappa: 0.0082, kb_relative_information_score: 0.0093, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5042, predictive_accuracy: 0.5047, prior_entropy: 0.9999, recall: 0.5047, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7037, root_relative_squared_error: 1.4076,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5281, f_measure: 0.5098, kappa: 0.0374, kb_relative_information_score: 0.0026, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5204, predictive_accuracy: 0.5202, prior_entropy: 0.9999, recall: 0.5202, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5274, f_measure: 0.5125, kappa: 0.0369, kb_relative_information_score: 0.0025, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5196, predictive_accuracy: 0.5197, prior_entropy: 0.9999, recall: 0.5197, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5275, f_measure: 0.5109, kappa: 0.0369, kb_relative_information_score: 0.0022, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5198, predictive_accuracy: 0.5198, prior_entropy: 0.9999, recall: 0.5198, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.529, f_measure: 0.5097, kappa: 0.0384, kb_relative_information_score: 0.0032, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.521, predictive_accuracy: 0.5207, prior_entropy: 0.9999, recall: 0.5207, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5275, f_measure: 0.5167, kappa: 0.0367, kb_relative_information_score: 0.0048, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5187, predictive_accuracy: 0.519, prior_entropy: 0.9999, recall: 0.519, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5249, f_measure: 0.4293, kappa: 0.0177, kb_relative_information_score: 0.0008, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5209, predictive_accuracy: 0.5127, prior_entropy: 0.9999, recall: 0.5127, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5293, f_measure: 0.515, kappa: 0.0394, kb_relative_information_score: 0.0043, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5206, predictive_accuracy: 0.5208, prior_entropy: 0.9999, recall: 0.5208, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5245, f_measure: 0.4786, kappa: 0.027, kb_relative_information_score: 0.0009, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5188, predictive_accuracy: 0.5162, prior_entropy: 0.9999, recall: 0.5162, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5287, f_measure: 0.5124, kappa: 0.0386, kb_relative_information_score: 0.0032, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5207, predictive_accuracy: 0.5206, prior_entropy: 0.9999, recall: 0.5206, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5245, f_measure: 0.5157, kappa: 0.0326, kb_relative_information_score: 0.0058, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5165, predictive_accuracy: 0.5168, prior_entropy: 0.9999, recall: 0.5168, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5284, f_measure: 0.5168, kappa: 0.0394, kb_relative_information_score: 0.0048, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5203, predictive_accuracy: 0.5206, prior_entropy: 0.9999, recall: 0.5206, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9988,

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

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

OpenML APIs