OpenML
Supervised Classification on JapaneseVowels

Supervised Classification on JapaneseVowels

Task 3510 Supervised Classification JapaneseVowels 11359 runs submitted
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  • OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7654, f_measure: 0.5971, kappa: 0.5352, kb_relative_information_score: 0.5601, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.6463, predictive_accuracy: 0.5948, prior_entropy: 3.1321, recall: 0.5948, relative_absolute_error: 0.459, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5842, kappa: 0.1702, kb_relative_information_score: 0.2265, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.2864, prior_entropy: 3.1321, recall: 0.2864, relative_absolute_error: 0.8083, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3982, root_relative_squared_error: 1.2715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5842, kappa: 0.1702, kb_relative_information_score: 0.2265, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.2864, prior_entropy: 3.1321, recall: 0.2864, relative_absolute_error: 0.8083, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3982, root_relative_squared_error: 1.2715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.7978, kappa: 0.7761, kb_relative_information_score: 0.7849, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.799, predictive_accuracy: 0.8027, prior_entropy: 3.1321, recall: 0.8027, relative_absolute_error: 0.2235, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.6685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5842, kappa: 0.1702, kb_relative_information_score: 0.2265, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.2864, prior_entropy: 3.1321, recall: 0.2864, relative_absolute_error: 0.8083, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3982, root_relative_squared_error: 1.2715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0914, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 0.9492, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4315, root_relative_squared_error: 1.3778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4782, kappa: -0.0429, kb_relative_information_score: 0.04, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.0991, prior_entropy: 3.1321, recall: 0.0991, relative_absolute_error: 1.0205, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4474, root_relative_squared_error: 1.4287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7081, f_measure: 0.5088, kappa: 0.4229, kb_relative_information_score: 0.4594, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.6079, predictive_accuracy: 0.5003, prior_entropy: 3.1321, recall: 0.5003, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3332, root_relative_squared_error: 1.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9208, kappa: 0.9107, kb_relative_information_score: 0.9146, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9207, predictive_accuracy: 0.9212, prior_entropy: 3.1321, recall: 0.9212, relative_absolute_error: 0.0893, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1323, root_relative_squared_error: 0.4225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.4167, kappa: 0.392, kb_relative_information_score: 0.4165, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.553, predictive_accuracy: 0.4704, prior_entropy: 3.1321, recall: 0.4704, relative_absolute_error: 0.5999, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.343, root_relative_squared_error: 1.0953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9167, kappa: 0.9059, kb_relative_information_score: 0.9099, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9166, predictive_accuracy: 0.917, prior_entropy: 3.1321, recall: 0.917, relative_absolute_error: 0.094, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.4337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.989, kappa: 0.9875, kb_relative_information_score: 0.9881, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 3.1321, recall: 0.989, relative_absolute_error: 0.0125, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0495, root_relative_squared_error: 0.1582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.608, kappa: 0.5487, kb_relative_information_score: 0.5724, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.6522, predictive_accuracy: 0.6063, prior_entropy: 3.1321, recall: 0.6063, relative_absolute_error: 0.446, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.9445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.8424, kappa: 0.8242, kb_relative_information_score: 0.8317, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8429, predictive_accuracy: 0.845, prior_entropy: 3.1321, recall: 0.845, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.5926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4782, kappa: -0.0429, kb_relative_information_score: 0.04, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.0991, prior_entropy: 3.1321, recall: 0.0991, relative_absolute_error: 1.0205, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4474, root_relative_squared_error: 1.4287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kappa: -0.0001, kb_relative_information_score: 0.0607, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1111, prior_entropy: 3.1321, recall: 0.1111, relative_absolute_error: 1.0069, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4444, root_relative_squared_error: 1.4191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9167, kappa: 0.9059, kb_relative_information_score: 0.9099, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9166, predictive_accuracy: 0.917, prior_entropy: 3.1321, recall: 0.917, relative_absolute_error: 0.094, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.4337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.7978, kappa: 0.7761, kb_relative_information_score: 0.7849, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.799, predictive_accuracy: 0.8027, prior_entropy: 3.1321, recall: 0.8027, relative_absolute_error: 0.2235, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.6685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6284, f_measure: 0.3787, kappa: 0.2656, kb_relative_information_score: 0.3262, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.5093, predictive_accuracy: 0.3655, prior_entropy: 3.1321, recall: 0.3655, relative_absolute_error: 0.7187, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3755, root_relative_squared_error: 1.1989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.8785, kappa: 0.8637, kb_relative_information_score: 0.8701, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8786, predictive_accuracy: 0.8797, prior_entropy: 3.1321, recall: 0.8797, relative_absolute_error: 0.1362, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9579, kappa: 0.9523, kb_relative_information_score: 0.9546, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.958, predictive_accuracy: 0.9578, prior_entropy: 3.1321, recall: 0.9578, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.3091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4837, kappa: -0.0322, kb_relative_information_score: 0.0352, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.0899, prior_entropy: 3.1321, recall: 0.0899, relative_absolute_error: 1.031, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4497, root_relative_squared_error: 1.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7601, f_measure: 0.546, kappa: 0.521, kb_relative_information_score: 0.5402, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.5878, predictive_accuracy: 0.5815, prior_entropy: 3.1321, recall: 0.5815, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.305, root_relative_squared_error: 0.9738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kappa: -0.0001, kb_relative_information_score: 0.0607, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1111, prior_entropy: 3.1321, recall: 0.1111, relative_absolute_error: 1.0069, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4444, root_relative_squared_error: 1.4191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9208, kappa: 0.9107, kb_relative_information_score: 0.9146, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9207, predictive_accuracy: 0.9212, prior_entropy: 3.1321, recall: 0.9212, relative_absolute_error: 0.0893, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1323, root_relative_squared_error: 0.4225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kappa: -0.0058, kb_relative_information_score: 0.06, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1128, prior_entropy: 3.1321, recall: 0.1128, relative_absolute_error: 1.0049, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.444, root_relative_squared_error: 1.4177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kappa: -0.0015, kb_relative_information_score: 0.0595, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1097, prior_entropy: 3.1321, recall: 0.1097, relative_absolute_error: 1.0085, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4448, root_relative_squared_error: 1.4202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5337, kappa: 0.0665, kb_relative_information_score: 0.1364, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.2058, prior_entropy: 3.1321, recall: 0.2058, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4201, root_relative_squared_error: 1.3414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.4167, kappa: 0.392, kb_relative_information_score: 0.4165, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.553, predictive_accuracy: 0.4704, prior_entropy: 3.1321, recall: 0.4704, relative_absolute_error: 0.5999, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.343, root_relative_squared_error: 1.0953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9579, kappa: 0.9523, kb_relative_information_score: 0.9546, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.958, predictive_accuracy: 0.9578, prior_entropy: 3.1321, recall: 0.9578, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.3091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kappa: 0.0046, kb_relative_information_score: 0.0667, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1176, prior_entropy: 3.1321, recall: 0.1176, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4428, root_relative_squared_error: 1.4139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kappa: -0.0001, kb_relative_information_score: 0.0607, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1111, prior_entropy: 3.1321, recall: 0.1111, relative_absolute_error: 1.0069, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4444, root_relative_squared_error: 1.4191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9579, kappa: 0.9523, kb_relative_information_score: 0.9546, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.958, predictive_accuracy: 0.9578, prior_entropy: 3.1321, recall: 0.9578, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.3091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.8424, kappa: 0.8242, kb_relative_information_score: 0.8317, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8429, predictive_accuracy: 0.845, prior_entropy: 3.1321, recall: 0.845, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.5926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9711, kappa: 0.9673, kb_relative_information_score: 0.9691, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9711, predictive_accuracy: 0.9711, prior_entropy: 3.1321, recall: 0.9711, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0802, root_relative_squared_error: 0.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5339, kappa: 0.0669, kb_relative_information_score: 0.1368, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.2062, prior_entropy: 3.1321, recall: 0.2062, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.42, root_relative_squared_error: 1.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7483, f_measure: 0.5297, kappa: 0.497, kb_relative_information_score: 0.516, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.5889, predictive_accuracy: 0.561, prior_entropy: 3.1321, recall: 0.561, relative_absolute_error: 0.4973, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6116, kappa: 0.2242, kb_relative_information_score: 0.2699, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.3344, prior_entropy: 3.1321, recall: 0.3344, relative_absolute_error: 0.754, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3846, root_relative_squared_error: 1.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9711, kappa: 0.9673, kb_relative_information_score: 0.9691, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9711, predictive_accuracy: 0.9711, prior_entropy: 3.1321, recall: 0.9711, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0802, root_relative_squared_error: 0.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kappa: 0.0018, kb_relative_information_score: 0.0922, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1626, prior_entropy: 3.1321, recall: 0.1626, relative_absolute_error: 0.9485, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4314, root_relative_squared_error: 1.3773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9959, kappa: 0.9953, kb_relative_information_score: 0.9954, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 3.1321, recall: 0.9959, relative_absolute_error: 0.0047, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0302, root_relative_squared_error: 0.0966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5431, f_measure: 0.1616, kappa: 0.0838, kb_relative_information_score: 0.1381, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.3113, predictive_accuracy: 0.1956, prior_entropy: 3.1321, recall: 0.1956, relative_absolute_error: 0.9112, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4228, root_relative_squared_error: 1.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.962, kappa: 0.9569, kb_relative_information_score: 0.9591, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9621, predictive_accuracy: 0.962, prior_entropy: 3.1321, recall: 0.962, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.092, root_relative_squared_error: 0.2936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.962, kappa: 0.9569, kb_relative_information_score: 0.9591, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9621, predictive_accuracy: 0.962, prior_entropy: 3.1321, recall: 0.962, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.092, root_relative_squared_error: 0.2936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0914, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 0.9492, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4315, root_relative_squared_error: 1.3778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4882, kappa: -0.0235, kb_relative_information_score: 0.0547, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1136, prior_entropy: 3.1321, recall: 0.1136, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4438, root_relative_squared_error: 1.4171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.964, kappa: 0.9592, kb_relative_information_score: 0.9614, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9641, predictive_accuracy: 0.964, prior_entropy: 3.1321, recall: 0.964, relative_absolute_error: 0.0408, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.2857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0914, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 0.9492, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4315, root_relative_squared_error: 1.3778,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5638, kappa: 0.1293, kb_relative_information_score: 0.1922, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.2555, prior_entropy: 3.1321, recall: 0.2555, relative_absolute_error: 0.8433, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4067, root_relative_squared_error: 1.2987,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.964, kappa: 0.9592, kb_relative_information_score: 0.9614, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9641, predictive_accuracy: 0.964, prior_entropy: 3.1321, recall: 0.964, relative_absolute_error: 0.0408, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.2857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9871, kappa: 0.9853, kb_relative_information_score: 0.9862, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9871, predictive_accuracy: 0.987, prior_entropy: 3.1321, recall: 0.987, relative_absolute_error: 0.0147, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0536, root_relative_squared_error: 0.1713,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9871, kappa: 0.9853, kb_relative_information_score: 0.9862, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9871, predictive_accuracy: 0.987, prior_entropy: 3.1321, recall: 0.987, relative_absolute_error: 0.0147, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0536, root_relative_squared_error: 0.1713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9871, kappa: 0.9853, kb_relative_information_score: 0.9862, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9871, predictive_accuracy: 0.987, prior_entropy: 3.1321, recall: 0.987, relative_absolute_error: 0.0147, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0536, root_relative_squared_error: 0.1713,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, kappa: 0.024, kb_relative_information_score: 0.0952, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1568, prior_entropy: 3.1321, recall: 0.1568, relative_absolute_error: 0.9551, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4329, root_relative_squared_error: 1.3821,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4882, kappa: -0.0235, kb_relative_information_score: 0.0547, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1136, prior_entropy: 3.1321, recall: 0.1136, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4438, root_relative_squared_error: 1.4171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.5074, kappa: 0.4208, kb_relative_information_score: 0.4575, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.6091, predictive_accuracy: 0.4986, prior_entropy: 3.1321, recall: 0.4986, relative_absolute_error: 0.5679, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3338, root_relative_squared_error: 1.0658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, kappa: 0.0137, kb_relative_information_score: 0.07, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.1177, prior_entropy: 3.1321, recall: 0.1177, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4428, root_relative_squared_error: 1.4138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9871, kappa: 0.9853, kb_relative_information_score: 0.9862, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9871, predictive_accuracy: 0.987, prior_entropy: 3.1321, recall: 0.987, relative_absolute_error: 0.0147, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0536, root_relative_squared_error: 0.1713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9488, kappa: 0.9421, kb_relative_information_score: 0.9448, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9489, predictive_accuracy: 0.9489, prior_entropy: 3.1321, recall: 0.9489, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.3402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5755, f_measure: 0.2748, kappa: 0.1573, kb_relative_information_score: 0.2264, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.4444, predictive_accuracy: 0.2701, prior_entropy: 3.1321, recall: 0.2701, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4028, root_relative_squared_error: 1.286,

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