Task
Supervised Classification on sensory

Supervised Classification on sensory

Task 3691 Supervised Classification sensory 531 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6322, f_measure: 0.6175, kappa: 0.2068, kb_relative_information_score: 57.1067, mean_absolute_error: 0.4421, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6197, predictive_accuracy: 0.6285, prior_entropy: 0.9792, recall: 0.6285, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4815, root_relative_squared_error: 0.9772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, f_measure: 0.6714, kappa: 0.3183, kb_relative_information_score: 100.9689, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6724, predictive_accuracy: 0.6771, prior_entropy: 0.9792, recall: 0.6771, relative_absolute_error: 0.8468, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.9537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5732, f_measure: 0.6232, kappa: 0.2184, kb_relative_information_score: 50.0985, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6255, predictive_accuracy: 0.6337, prior_entropy: 0.9792, recall: 0.6337, relative_absolute_error: 0.9274, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4863, root_relative_squared_error: 0.9869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.6973, kappa: 0.3724, kb_relative_information_score: 122.1371, mean_absolute_error: 0.3944, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.7051, predictive_accuracy: 0.7066, prior_entropy: 0.9792, recall: 0.7066, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.6232, kappa: 0.2184, kb_relative_information_score: 61.6977, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6255, predictive_accuracy: 0.6337, prior_entropy: 0.9792, recall: 0.6337, relative_absolute_error: 0.9051, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6609, f_measure: 0.6723, kappa: 0.3211, kb_relative_information_score: 110.9287, mean_absolute_error: 0.4034, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6811, predictive_accuracy: 0.684, prior_entropy: 0.9792, recall: 0.684, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6817, f_measure: 0.6368, kappa: 0.2489, kb_relative_information_score: 146.7539, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6357, predictive_accuracy: 0.6389, prior_entropy: 0.9792, recall: 0.6389, relative_absolute_error: 0.7361, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5542, root_relative_squared_error: 1.1248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6174, f_measure: 0.6232, kappa: 0.2184, kb_relative_information_score: 62.8395, mean_absolute_error: 0.4391, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6255, predictive_accuracy: 0.6337, prior_entropy: 0.9792, recall: 0.6337, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.488, root_relative_squared_error: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5655, f_measure: 0.6434, kappa: 0.2601, kb_relative_information_score: 36.4076, mean_absolute_error: 0.4616, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6447, predictive_accuracy: 0.651, prior_entropy: 0.9792, recall: 0.651, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4781, root_relative_squared_error: 0.9704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.721, f_measure: 0.6472, kappa: 0.2728, kb_relative_information_score: 142.3639, mean_absolute_error: 0.3653, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6469, predictive_accuracy: 0.6476, prior_entropy: 0.9792, recall: 0.6476, relative_absolute_error: 0.7523, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5137, root_relative_squared_error: 1.0427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5654, f_measure: 0.6434, kappa: 0.2601, kb_relative_information_score: 46.3862, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6447, predictive_accuracy: 0.651, prior_entropy: 0.9792, recall: 0.651, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4777, root_relative_squared_error: 0.9695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.669, kappa: 0.3134, kb_relative_information_score: 86.2376, mean_absolute_error: 0.421, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6705, predictive_accuracy: 0.6753, prior_entropy: 0.9792, recall: 0.6753, relative_absolute_error: 0.867, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.4319, kb_relative_information_score: -0.0407, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.3423, predictive_accuracy: 0.5851, prior_entropy: 0.9792, recall: 0.5851, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4927, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.6195, kappa: 0.2112, kb_relative_information_score: 124.8019, mean_absolute_error: 0.3773, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6232, predictive_accuracy: 0.6319, prior_entropy: 0.9792, recall: 0.6319, relative_absolute_error: 0.7769, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5463, root_relative_squared_error: 1.1089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, f_measure: 0.6973, kappa: 0.3734, kb_relative_information_score: 138.0106, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6968, predictive_accuracy: 0.6997, prior_entropy: 0.9792, recall: 0.6997, relative_absolute_error: 0.7784, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7316, f_measure: 0.6989, kappa: 0.3757, kb_relative_information_score: 79.7286, mean_absolute_error: 0.4302, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.7071, predictive_accuracy: 0.7083, prior_entropy: 0.9792, recall: 0.7083, relative_absolute_error: 0.886, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.4319, kb_relative_information_score: -0.0407, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.3423, predictive_accuracy: 0.5851, prior_entropy: 0.9792, recall: 0.5851, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4927, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7226, f_measure: 0.6778, kappa: 0.332, kb_relative_information_score: 100.2352, mean_absolute_error: 0.4101, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6841, predictive_accuracy: 0.6875, prior_entropy: 0.9792, recall: 0.6875, relative_absolute_error: 0.8446, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4558, root_relative_squared_error: 0.9251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.4319, kb_relative_information_score: 0.0533, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.3423, predictive_accuracy: 0.5851, prior_entropy: 0.9792, recall: 0.5851, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4927, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5653, f_measure: 0.6434, kappa: 0.2601, kb_relative_information_score: 46.952, mean_absolute_error: 0.4538, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6447, predictive_accuracy: 0.651, prior_entropy: 0.9792, recall: 0.651, relative_absolute_error: 0.9347, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4777, root_relative_squared_error: 0.9696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.7145, kappa: 0.4089, kb_relative_information_score: 159.5042, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.7144, predictive_accuracy: 0.717, prior_entropy: 0.9792, recall: 0.717, relative_absolute_error: 0.7453, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.6232, kappa: 0.2184, kb_relative_information_score: 61.6977, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6255, predictive_accuracy: 0.6337, prior_entropy: 0.9792, recall: 0.6337, relative_absolute_error: 0.9051, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, f_measure: 0.6196, kappa: 0.2108, kb_relative_information_score: 70.442, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6204, predictive_accuracy: 0.6285, prior_entropy: 0.9792, recall: 0.6285, relative_absolute_error: 0.8884, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4786, root_relative_squared_error: 0.9713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6471, f_measure: 0.6267, kappa: 0.2258, kb_relative_information_score: 62.6644, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6292, predictive_accuracy: 0.6372, prior_entropy: 0.9792, recall: 0.6372, relative_absolute_error: 0.9038, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4765, root_relative_squared_error: 0.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6332, f_measure: 0.6181, kappa: 0.2078, kb_relative_information_score: 57.82, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6199, predictive_accuracy: 0.6285, prior_entropy: 0.9792, recall: 0.6285, relative_absolute_error: 0.9092, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4814, root_relative_squared_error: 0.9769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.7145, kappa: 0.4089, kb_relative_information_score: 159.5042, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.7144, predictive_accuracy: 0.717, prior_entropy: 0.9792, recall: 0.717, relative_absolute_error: 0.7453, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.6232, kappa: 0.2184, kb_relative_information_score: 61.6977, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6255, predictive_accuracy: 0.6337, prior_entropy: 0.9792, recall: 0.6337, relative_absolute_error: 0.9051, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6263, f_measure: 0.6434, kappa: 0.2601, kb_relative_information_score: 156.7213, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6447, predictive_accuracy: 0.651, prior_entropy: 0.9792, recall: 0.651, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.1989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4319, kb_relative_information_score: 77.4708, mean_absolute_error: 0.4149, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.3423, predictive_accuracy: 0.5851, prior_entropy: 0.9792, recall: 0.5851, relative_absolute_error: 0.8545, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.6442, root_relative_squared_error: 1.3074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.732, f_measure: 0.6732, kappa: 0.3226, kb_relative_information_score: 113.4955, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.673, predictive_accuracy: 0.6771, prior_entropy: 0.9792, recall: 0.6771, relative_absolute_error: 0.8211, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, f_measure: 0.6333, kappa: 0.2393, kb_relative_information_score: 146.2936, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6351, predictive_accuracy: 0.6424, prior_entropy: 0.9792, recall: 0.6424, relative_absolute_error: 0.7365, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.598, root_relative_squared_error: 1.2138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.6232, kappa: 0.2184, kb_relative_information_score: 61.6977, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6255, predictive_accuracy: 0.6337, prior_entropy: 0.9792, recall: 0.6337, relative_absolute_error: 0.9051, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6615, f_measure: 0.6057, kappa: 0.1884, kb_relative_information_score: 50.0879, mean_absolute_error: 0.4492, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6193, predictive_accuracy: 0.6285, prior_entropy: 0.9792, recall: 0.6285, relative_absolute_error: 0.9251, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.721, f_measure: 0.686, kappa: 0.3485, kb_relative_information_score: 123.5939, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6889, predictive_accuracy: 0.6927, prior_entropy: 0.9792, recall: 0.6927, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6261, f_measure: 0.6348, kappa: 0.2505, kb_relative_information_score: 135.8659, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6363, predictive_accuracy: 0.6337, prior_entropy: 0.9792, recall: 0.6337, relative_absolute_error: 0.7544, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.6052, root_relative_squared_error: 1.2284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6699, f_measure: 0.685, kappa: 0.3468, kb_relative_information_score: 202.6031, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6853, predictive_accuracy: 0.6892, prior_entropy: 0.9792, recall: 0.6892, relative_absolute_error: 0.64, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5575, root_relative_squared_error: 1.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7099, f_measure: 0.724, kappa: 0.4278, kb_relative_information_score: 248.485, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.7249, predictive_accuracy: 0.7274, prior_entropy: 0.9792, recall: 0.7274, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5221, root_relative_squared_error: 1.0596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.7302, kappa: 0.4412, kb_relative_information_score: 254.7416, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.7303, predictive_accuracy: 0.7326, prior_entropy: 0.9792, recall: 0.7326, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5171, root_relative_squared_error: 1.0494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6147, f_measure: 0.6323, kappa: 0.2374, kb_relative_information_score: 146.2936, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6349, predictive_accuracy: 0.6424, prior_entropy: 0.9792, recall: 0.6424, relative_absolute_error: 0.7365, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.598, root_relative_squared_error: 1.2138, scimark_benchmark: 1959.6455, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6099, f_measure: 0.6277, kappa: 0.2281, kb_relative_information_score: 142.1225, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.631, predictive_accuracy: 0.6389, prior_entropy: 0.9792, recall: 0.6389, relative_absolute_error: 0.7437, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.6009, root_relative_squared_error: 1.2196, scimark_benchmark: 1959.6455, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4319, kb_relative_information_score: 77.4708, mean_absolute_error: 0.4149, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.3423, predictive_accuracy: 0.5851, prior_entropy: 0.9792, recall: 0.5851, relative_absolute_error: 0.8545, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.6442, root_relative_squared_error: 1.3074, scimark_benchmark: 1631.1992, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6099, f_measure: 0.6277, kappa: 0.2281, kb_relative_information_score: 142.1225, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.631, predictive_accuracy: 0.6389, prior_entropy: 0.9792, recall: 0.6389, relative_absolute_error: 0.7437, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.6009, root_relative_squared_error: 1.2196, scimark_benchmark: 1366.6217, usercpu_time_millis: 190, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6147, f_measure: 0.6323, kappa: 0.2374, kb_relative_information_score: 146.2936, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6349, predictive_accuracy: 0.6424, prior_entropy: 0.9792, recall: 0.6424, relative_absolute_error: 0.7365, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.598, root_relative_squared_error: 1.2138, scimark_benchmark: 1360.7349, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4319, kb_relative_information_score: 77.4708, mean_absolute_error: 0.4149, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.3423, predictive_accuracy: 0.5851, prior_entropy: 0.9792, recall: 0.5851, relative_absolute_error: 0.8545, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.6442, root_relative_squared_error: 1.3074, scimark_benchmark: 1566.0203, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6279, f_measure: 0.6374, kappa: 0.2508, kb_relative_information_score: 83.6651, mean_absolute_error: 0.4211, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6365, predictive_accuracy: 0.6389, prior_entropy: 0.9792, recall: 0.6389, relative_absolute_error: 0.8671, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.493, root_relative_squared_error: 1.0005, scimark_benchmark: 1908.2191, usercpu_time_millis: 3359.375, usercpu_time_millis_training: 3359.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6254, f_measure: 0.6232, kappa: 0.2182, kb_relative_information_score: 135.4719, mean_absolute_error: 0.3665, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6241, predictive_accuracy: 0.6319, prior_entropy: 0.9792, recall: 0.6319, relative_absolute_error: 0.7547, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.6011, root_relative_squared_error: 1.2199, scimark_benchmark: 1908.2191, usercpu_time_millis: 3656.25, usercpu_time_millis_training: 3656.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, f_measure: 0.6333, kappa: 0.2393, kb_relative_information_score: 146.2936, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6351, predictive_accuracy: 0.6424, prior_entropy: 0.9792, recall: 0.6424, relative_absolute_error: 0.7365, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.598, root_relative_squared_error: 1.2138, scimark_benchmark: 1827.4462, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, f_measure: 0.6442, kappa: 0.2674, kb_relative_information_score: 146.8021, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6443, predictive_accuracy: 0.6441, prior_entropy: 0.9792, recall: 0.6441, relative_absolute_error: 0.737, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.556, root_relative_squared_error: 1.1285, scimark_benchmark: 1338.8483, usercpu_time_millis: 3570, usercpu_time_millis_training: 3570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6265, f_measure: 0.6257, kappa: 0.2236, kb_relative_information_score: 141.5016, mean_absolute_error: 0.361, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6275, predictive_accuracy: 0.6354, prior_entropy: 0.9792, recall: 0.6354, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5919, root_relative_squared_error: 1.2013, scimark_benchmark: 1760.5198, usercpu_time_millis: 406.25, usercpu_time_millis_training: 406.25,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.6232, kappa: 0.2184, kb_relative_information_score: 61.6977, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6255, predictive_accuracy: 0.6337, prior_entropy: 0.9792, recall: 0.6337, relative_absolute_error: 0.9051, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9689, scimark_benchmark: 1301.0481, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6354, f_measure: 0.6403, kappa: 0.2562, kb_relative_information_score: 86.0901, mean_absolute_error: 0.4193, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6393, predictive_accuracy: 0.6424, prior_entropy: 0.9792, recall: 0.6424, relative_absolute_error: 0.8635, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.994, scimark_benchmark: 1289.7665, usercpu_time_millis: 550, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, f_measure: 0.6333, kappa: 0.2393, kb_relative_information_score: 146.2936, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6351, predictive_accuracy: 0.6424, prior_entropy: 0.9792, recall: 0.6424, relative_absolute_error: 0.7365, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.598, root_relative_squared_error: 1.2138, scimark_benchmark: 1618.1738, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6111, f_measure: 0.6288, kappa: 0.23, kb_relative_information_score: 142.1225, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6312, predictive_accuracy: 0.6389, prior_entropy: 0.9792, recall: 0.6389, relative_absolute_error: 0.7437, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.6009, root_relative_squared_error: 1.2196, scimark_benchmark: 1618.1738, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6545, f_measure: 0.6354, kappa: 0.2435, kb_relative_information_score: 67.4553, mean_absolute_error: 0.4348, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.637, predictive_accuracy: 0.6441, prior_entropy: 0.9792, recall: 0.6441, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4765, root_relative_squared_error: 0.9672, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, f_measure: 0.6454, kappa: 0.2688, kb_relative_information_score: 152.7061, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.645, predictive_accuracy: 0.6458, prior_entropy: 0.9792, recall: 0.6458, relative_absolute_error: 0.7263, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.586, root_relative_squared_error: 1.1893, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, f_measure: 0.6405, kappa: 0.2541, kb_relative_information_score: 67.014, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6426, predictive_accuracy: 0.6493, prior_entropy: 0.9792, recall: 0.6493, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9675, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.655, f_measure: 0.6792, kappa: 0.3346, kb_relative_information_score: 104.5727, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6798, predictive_accuracy: 0.684, prior_entropy: 0.9792, recall: 0.684, relative_absolute_error: 0.8412, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.9453, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7013, f_measure: 0.6716, kappa: 0.3193, kb_relative_information_score: 119.2648, mean_absolute_error: 0.3925, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6713, predictive_accuracy: 0.6753, prior_entropy: 0.9792, recall: 0.6753, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9611, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.6821, kappa: 0.3412, kb_relative_information_score: 116.458, mean_absolute_error: 0.3965, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.682, predictive_accuracy: 0.6858, prior_entropy: 0.9792, recall: 0.6858, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.449, root_relative_squared_error: 0.9112, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.6232, kappa: 0.2184, kb_relative_information_score: 61.6977, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6255, predictive_accuracy: 0.6337, prior_entropy: 0.9792, recall: 0.6337, relative_absolute_error: 0.9051, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9689, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7276, f_measure: 0.7148, kappa: 0.4096, kb_relative_information_score: 161.3126, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.7145, predictive_accuracy: 0.717, prior_entropy: 0.9792, recall: 0.717, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9323, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.6232, kappa: 0.2184, kb_relative_information_score: 61.6977, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6255, predictive_accuracy: 0.6337, prior_entropy: 0.9792, recall: 0.6337, relative_absolute_error: 0.9051, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9689, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, f_measure: 0.6333, kappa: 0.2393, kb_relative_information_score: 146.2936, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6351, predictive_accuracy: 0.6424, prior_entropy: 0.9792, recall: 0.6424, relative_absolute_error: 0.7365, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.598, root_relative_squared_error: 1.2138, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6111, f_measure: 0.6288, kappa: 0.23, kb_relative_information_score: 142.1225, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6312, predictive_accuracy: 0.6389, prior_entropy: 0.9792, recall: 0.6389, relative_absolute_error: 0.7437, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.6009, root_relative_squared_error: 1.2196, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6356, f_measure: 0.6403, kappa: 0.2562, kb_relative_information_score: 85.8267, mean_absolute_error: 0.4195, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6393, predictive_accuracy: 0.6424, prior_entropy: 0.9792, recall: 0.6424, relative_absolute_error: 0.864, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4897, root_relative_squared_error: 0.994, scimark_benchmark: 1744.8652, usercpu_time_millis: 296.875, usercpu_time_millis_training: 296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6545, f_measure: 0.6354, kappa: 0.2435, kb_relative_information_score: 67.4553, mean_absolute_error: 0.4348, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.637, predictive_accuracy: 0.6441, prior_entropy: 0.9792, recall: 0.6441, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4765, root_relative_squared_error: 0.9672, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, f_measure: 0.6454, kappa: 0.2688, kb_relative_information_score: 152.7061, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.645, predictive_accuracy: 0.6458, prior_entropy: 0.9792, recall: 0.6458, relative_absolute_error: 0.7263, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.586, root_relative_squared_error: 1.1893, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, f_measure: 0.6405, kappa: 0.2541, kb_relative_information_score: 67.014, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6426, predictive_accuracy: 0.6493, prior_entropy: 0.9792, recall: 0.6493, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9675, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.655, f_measure: 0.6809, kappa: 0.3404, kb_relative_information_score: 99.0965, mean_absolute_error: 0.4129, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6801, predictive_accuracy: 0.6823, prior_entropy: 0.9792, recall: 0.6823, relative_absolute_error: 0.8502, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4641, root_relative_squared_error: 0.942, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7013, f_measure: 0.6716, kappa: 0.3193, kb_relative_information_score: 119.2648, mean_absolute_error: 0.3925, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6713, predictive_accuracy: 0.6753, prior_entropy: 0.9792, recall: 0.6753, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9611, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7425, f_measure: 0.6671, kappa: 0.3105, kb_relative_information_score: 118.4119, mean_absolute_error: 0.3948, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6664, predictive_accuracy: 0.6701, prior_entropy: 0.9792, recall: 0.6701, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9093, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.6232, kappa: 0.2184, kb_relative_information_score: 61.6977, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6255, predictive_accuracy: 0.6337, prior_entropy: 0.9792, recall: 0.6337, relative_absolute_error: 0.9051, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9689, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7276, f_measure: 0.7148, kappa: 0.4096, kb_relative_information_score: 161.3126, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.7145, predictive_accuracy: 0.717, prior_entropy: 0.9792, recall: 0.717, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9323, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6545, f_measure: 0.6354, kappa: 0.2435, kb_relative_information_score: 67.4553, mean_absolute_error: 0.4348, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.637, predictive_accuracy: 0.6441, prior_entropy: 0.9792, recall: 0.6441, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4765, root_relative_squared_error: 0.9672, scimark_benchmark: 1327.5254, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, f_measure: 0.6405, kappa: 0.2541, kb_relative_information_score: 67.014, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6426, predictive_accuracy: 0.6493, prior_entropy: 0.9792, recall: 0.6493, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9675, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6374, f_measure: 0.6422, kappa: 0.2602, kb_relative_information_score: 88.0578, mean_absolute_error: 0.4179, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6412, predictive_accuracy: 0.6441, prior_entropy: 0.9792, recall: 0.6441, relative_absolute_error: 0.8606, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4884, root_relative_squared_error: 0.9912, scimark_benchmark: 1788.6668, usercpu_time_millis: 281.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.6323, kappa: 0.2378, kb_relative_information_score: 72.7513, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6366, predictive_accuracy: 0.6441, prior_entropy: 0.9792, recall: 0.6441, relative_absolute_error: 0.888, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9535, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6662, f_measure: 0.6902, kappa: 0.3604, kb_relative_information_score: 104.0622, mean_absolute_error: 0.4094, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6896, predictive_accuracy: 0.691, prior_entropy: 0.9792, recall: 0.691, relative_absolute_error: 0.8432, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.459, root_relative_squared_error: 0.9315, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6407, f_measure: 0.6597, kappa: 0.2992, kb_relative_information_score: 92.3454, mean_absolute_error: 0.4149, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6597, predictive_accuracy: 0.6597, prior_entropy: 0.9792, recall: 0.6597, relative_absolute_error: 0.8545, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4815, root_relative_squared_error: 0.9772, scimark_benchmark: 1788.6668, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.6349, kappa: 0.2429, kb_relative_information_score: 74.7481, mean_absolute_error: 0.4297, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6386, predictive_accuracy: 0.6458, prior_entropy: 0.9792, recall: 0.6458, relative_absolute_error: 0.8848, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9528, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6263, f_measure: 0.6434, kappa: 0.2601, kb_relative_information_score: 156.7213, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6447, predictive_accuracy: 0.651, prior_entropy: 0.9792, recall: 0.651, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.1989, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, f_measure: 0.6333, kappa: 0.2393, kb_relative_information_score: 146.2936, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6351, predictive_accuracy: 0.6424, prior_entropy: 0.9792, recall: 0.6424, relative_absolute_error: 0.7365, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.598, root_relative_squared_error: 1.2138, scimark_benchmark: 1483.1011, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, f_measure: 0.6714, kappa: 0.3183, kb_relative_information_score: 100.9689, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6724, predictive_accuracy: 0.6771, prior_entropy: 0.9792, recall: 0.6771, relative_absolute_error: 0.8468, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.9537, scimark_benchmark: 1026.1359, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.691, kappa: 0.3663, kb_relative_information_score: 90.7975, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.7256, predictive_accuracy: 0.7118, prior_entropy: 0.9792, recall: 0.7118, relative_absolute_error: 0.8686, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9077, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7021, kappa: 0.382, kb_relative_information_score: 153.6811, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.7054, predictive_accuracy: 0.7083, prior_entropy: 0.9792, recall: 0.7083, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.9002, 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: 0.6791, f_measure: 0.6278, kappa: 0.2352, kb_relative_information_score: 105.4328, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6476, predictive_accuracy: 0.651, prior_entropy: 0.9792, recall: 0.651, relative_absolute_error: 0.8196, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0026, scimark_benchmark: 1840.6094, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7091, f_measure: 0.6685, kappa: 0.315, kb_relative_information_score: 80.362, mean_absolute_error: 0.427, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6835, predictive_accuracy: 0.684, prior_entropy: 0.9792, recall: 0.684, relative_absolute_error: 0.8793, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4603, root_relative_squared_error: 0.9343, 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: 0.7619, f_measure: 0.6982, kappa: 0.3738, kb_relative_information_score: 150.0576, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.7018, predictive_accuracy: 0.7049, prior_entropy: 0.9792, recall: 0.7049, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9016, 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: 0.7153, f_measure: 0.6723, kappa: 0.3211, kb_relative_information_score: 91.1647, mean_absolute_error: 0.4181, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6811, predictive_accuracy: 0.684, prior_entropy: 0.9792, recall: 0.684, relative_absolute_error: 0.8611, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.459, root_relative_squared_error: 0.9316, scimark_benchmark: 1873.1108, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6205, f_measure: 0.6356, kappa: 0.2608, kb_relative_information_score: 177.5767, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6798, predictive_accuracy: 0.6684, prior_entropy: 0.9792, recall: 0.6684, relative_absolute_error: 0.6829, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5758, root_relative_squared_error: 1.1687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6263, f_measure: 0.6434, kappa: 0.2601, kb_relative_information_score: 156.7213, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6447, predictive_accuracy: 0.651, prior_entropy: 0.9792, recall: 0.651, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.1989, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6111, f_measure: 0.6288, kappa: 0.23, kb_relative_information_score: 142.1225, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6312, predictive_accuracy: 0.6389, prior_entropy: 0.9792, recall: 0.6389, relative_absolute_error: 0.7437, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.6009, root_relative_squared_error: 1.2196, scimark_benchmark: 1779.392, usercpu_time_millis: 46.8003, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.6728, kappa: 0.3217, kb_relative_information_score: 123.3534, mean_absolute_error: 0.3894, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6728, predictive_accuracy: 0.6771, prior_entropy: 0.9792, recall: 0.6771, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9584, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.67, kappa: 0.3161, kb_relative_information_score: 118.2621, mean_absolute_error: 0.3934, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6696, predictive_accuracy: 0.6736, prior_entropy: 0.9792, recall: 0.6736, relative_absolute_error: 0.8101, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4749, root_relative_squared_error: 0.9638, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.7086, kappa: 0.3961, kb_relative_information_score: 229.7151, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.7088, predictive_accuracy: 0.7118, prior_entropy: 0.9792, recall: 0.7118, relative_absolute_error: 0.5935, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5368, root_relative_squared_error: 1.0896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6791, f_measure: 0.6285, kappa: 0.2306, kb_relative_information_score: 68.1316, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6347, predictive_accuracy: 0.6424, prior_entropy: 0.9792, recall: 0.6424, relative_absolute_error: 0.8971, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9514, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.6232, kappa: 0.2184, kb_relative_information_score: 61.6977, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6255, predictive_accuracy: 0.6337, prior_entropy: 0.9792, recall: 0.6337, relative_absolute_error: 0.9051, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9689, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6456, f_measure: 0.664, kappa: 0.3044, kb_relative_information_score: 188.0043, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6738, predictive_accuracy: 0.6771, prior_entropy: 0.9792, recall: 0.6771, relative_absolute_error: 0.665, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5683, root_relative_squared_error: 1.1533,

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