OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 9910 Supervised Classification Bioresponse 17585 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.7667, kappa: 0.5309, kb_relative_information_score: 0.5281, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7674, predictive_accuracy: 0.7665, prior_entropy: 0.9948, recall: 0.7665, relative_absolute_error: 0.4704, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4833, root_relative_squared_error: 0.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5027, f_measure: 0.3876, kappa: 0.0059, kb_relative_information_score: 0.0799, mean_absolute_error: 0.4553, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6821, predictive_accuracy: 0.5447, prior_entropy: 0.9948, recall: 0.5447, relative_absolute_error: 0.9172, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6748, root_relative_squared_error: 1.3544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.6667, kappa: 0.346, kb_relative_information_score: 0.3665, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7124, predictive_accuracy: 0.6865, prior_entropy: 0.9948, recall: 0.6865, relative_absolute_error: 0.6315, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5599, root_relative_squared_error: 1.1239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.3873, kappa: 0.0063, kb_relative_information_score: 0.0804, mean_absolute_error: 0.4551, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7526, predictive_accuracy: 0.5449, prior_entropy: 0.9948, recall: 0.5449, relative_absolute_error: 0.9167, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6746, root_relative_squared_error: 1.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, f_measure: 0.3877, kappa: 0.0064, kb_relative_information_score: 0.0804, mean_absolute_error: 0.4551, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7144, predictive_accuracy: 0.5449, prior_entropy: 0.9948, recall: 0.5449, relative_absolute_error: 0.9167, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6746, root_relative_squared_error: 1.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.6756, kappa: 0.3607, kb_relative_information_score: 0.3794, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7158, predictive_accuracy: 0.6929, prior_entropy: 0.9948, recall: 0.6929, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5542, root_relative_squared_error: 1.1123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7115, f_measure: 0.7161, kappa: 0.4338, kb_relative_information_score: 0.4462, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7407, predictive_accuracy: 0.7259, prior_entropy: 0.9948, recall: 0.7259, relative_absolute_error: 0.5521, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5235, root_relative_squared_error: 1.0508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6398, f_measure: 0.6312, kappa: 0.2922, kb_relative_information_score: 0.3207, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7068, predictive_accuracy: 0.6638, prior_entropy: 0.9948, recall: 0.6638, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5798, root_relative_squared_error: 1.1638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5814, f_measure: 0.5368, kappa: 0.1734, kb_relative_information_score: 0.2221, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7231, predictive_accuracy: 0.615, prior_entropy: 0.9948, recall: 0.615, relative_absolute_error: 0.7755, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6205, root_relative_squared_error: 1.2454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5207, f_measure: 0.5243, kappa: 0.0414, kb_relative_information_score: 0.0389, mean_absolute_error: 0.4756, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5241, predictive_accuracy: 0.5244, prior_entropy: 0.9948, recall: 0.5244, relative_absolute_error: 0.9581, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6896, root_relative_squared_error: 1.3842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6348, f_measure: 0.6315, kappa: 0.2796, kb_relative_information_score: 0.3034, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6763, predictive_accuracy: 0.6553, prior_entropy: 0.9948, recall: 0.6553, relative_absolute_error: 0.6944, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5871, root_relative_squared_error: 1.1785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.673, f_measure: 0.6739, kappa: 0.3577, kb_relative_information_score: 0.3767, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7148, predictive_accuracy: 0.6915, prior_entropy: 0.9948, recall: 0.6915, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5554, root_relative_squared_error: 1.1148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5795, f_measure: 0.5391, kappa: 0.169, kb_relative_information_score: 0.2162, mean_absolute_error: 0.3879, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.696, predictive_accuracy: 0.6121, prior_entropy: 0.9948, recall: 0.6121, relative_absolute_error: 0.7814, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6228, root_relative_squared_error: 1.2501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5882, f_measure: 0.5533, kappa: 0.1873, kb_relative_information_score: 0.2318, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6995, predictive_accuracy: 0.6198, prior_entropy: 0.9948, recall: 0.6198, relative_absolute_error: 0.7658, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6166, root_relative_squared_error: 1.2376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, f_measure: 0.6268, kappa: 0.2854, kb_relative_information_score: 0.3147, mean_absolute_error: 0.3391, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7051, predictive_accuracy: 0.6609, prior_entropy: 0.9948, recall: 0.6609, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5823, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.7234, kappa: 0.4426, kb_relative_information_score: 0.4413, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7233, predictive_accuracy: 0.7235, prior_entropy: 0.9948, recall: 0.7235, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5258, root_relative_squared_error: 1.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.7593, kappa: 0.5145, kb_relative_information_score: 0.5151, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7597, predictive_accuracy: 0.7601, prior_entropy: 0.9948, recall: 0.7601, relative_absolute_error: 0.4833, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, f_measure: 0.7358, kappa: 0.4674, kb_relative_information_score: 0.4667, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5137, root_relative_squared_error: 1.0312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7508, f_measure: 0.752, kappa: 0.5008, kb_relative_information_score: 0.4984, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7522, predictive_accuracy: 0.7518, prior_entropy: 0.9948, recall: 0.7518, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3825, kappa: 0.0013, kb_relative_information_score: 0.0761, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.5428, prior_entropy: 0.9948, recall: 0.5428, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7178, f_measure: 0.7204, kappa: 0.4363, kb_relative_information_score: 0.4354, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7202, predictive_accuracy: 0.7206, prior_entropy: 0.9948, recall: 0.7206, relative_absolute_error: 0.5628, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5286, root_relative_squared_error: 1.0609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.7582, kappa: 0.5122, kb_relative_information_score: 0.513, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7587, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4909, root_relative_squared_error: 0.9854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5923, f_measure: 0.5603, kappa: 0.1957, kb_relative_information_score: 0.2388, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6988, predictive_accuracy: 0.6233, prior_entropy: 0.9948, recall: 0.6233, relative_absolute_error: 0.7588, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6138, root_relative_squared_error: 1.2319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.6994, kappa: 0.3938, kb_relative_information_score: 0.3934, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6992, predictive_accuracy: 0.6998, prior_entropy: 0.9948, recall: 0.6998, relative_absolute_error: 0.6047, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5479, root_relative_squared_error: 1.0997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.3831, kappa: 0.0019, kb_relative_information_score: 0.0766, mean_absolute_error: 0.4569, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.752, predictive_accuracy: 0.5431, prior_entropy: 0.9948, recall: 0.5431, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.676, root_relative_squared_error: 1.3568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3825, kappa: 0.0013, kb_relative_information_score: 0.0761, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.5428, prior_entropy: 0.9948, recall: 0.5428, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6462, f_measure: 0.6387, kappa: 0.3055, kb_relative_information_score: 0.3331, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7137, predictive_accuracy: 0.67, prior_entropy: 0.9948, recall: 0.67, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5562, f_measure: 0.4933, kappa: 0.1205, kb_relative_information_score: 0.1768, mean_absolute_error: 0.4074, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7186, predictive_accuracy: 0.5926, prior_entropy: 0.9948, recall: 0.5926, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6382, root_relative_squared_error: 1.2811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, f_measure: 0.7556, kappa: 0.5069, kb_relative_information_score: 0.5076, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.756, predictive_accuracy: 0.7563, prior_entropy: 0.9948, recall: 0.7563, relative_absolute_error: 0.4908, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4936, root_relative_squared_error: 0.9908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6239, f_measure: 0.6085, kappa: 0.2603, kb_relative_information_score: 0.2937, mean_absolute_error: 0.3495, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.705, predictive_accuracy: 0.6505, prior_entropy: 0.9948, recall: 0.6505, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5912, root_relative_squared_error: 1.1866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5055, f_measure: 0.3943, kappa: 0.0118, kb_relative_information_score: 0.0847, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6715, predictive_accuracy: 0.5471, prior_entropy: 0.9948, recall: 0.5471, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.673, root_relative_squared_error: 1.3509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.3849, kappa: 0.0038, kb_relative_information_score: 0.0782, mean_absolute_error: 0.4561, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7523, predictive_accuracy: 0.5439, prior_entropy: 0.9948, recall: 0.5439, relative_absolute_error: 0.9188, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6754, root_relative_squared_error: 1.3556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, f_measure: 0.7526, kappa: 0.5007, kb_relative_information_score: 0.5017, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.753, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.4967, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, f_measure: 0.7386, kappa: 0.4728, kb_relative_information_score: 0.4726, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7385, predictive_accuracy: 0.739, prior_entropy: 0.9948, recall: 0.739, relative_absolute_error: 0.5257, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5109, root_relative_squared_error: 1.0254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.728, f_measure: 0.7307, kappa: 0.457, kb_relative_information_score: 0.4564, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7306, predictive_accuracy: 0.731, prior_entropy: 0.9948, recall: 0.731, relative_absolute_error: 0.5419, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5186, root_relative_squared_error: 1.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.714, f_measure: 0.7165, kappa: 0.4285, kb_relative_information_score: 0.4273, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7163, predictive_accuracy: 0.7166, prior_entropy: 0.9948, recall: 0.7166, relative_absolute_error: 0.5709, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5323, root_relative_squared_error: 1.0685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5156, f_measure: 0.4155, kappa: 0.0336, kb_relative_information_score: 0.103, mean_absolute_error: 0.4439, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6972, predictive_accuracy: 0.5561, prior_entropy: 0.9948, recall: 0.5561, relative_absolute_error: 0.8941, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6662, root_relative_squared_error: 1.3373,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.7678, kappa: 0.5329, kb_relative_information_score: 0.5302, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7684, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.4683, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9678,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.141, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1855.4813, usercpu_time_millis: 5.72, usercpu_time_millis_testing: 0.902, usercpu_time_millis_training: 4.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.7216, kappa: 0.4385, kb_relative_information_score: 701.5828, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7216, predictive_accuracy: 0.7222, prior_entropy: 0.9948, recall: 0.7222, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.884, scimark_benchmark: 1845.779, usercpu_time_millis: 5.329, usercpu_time_millis_testing: 0.692, usercpu_time_millis_training: 4.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.092, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1844.7928, usercpu_time_millis: 10.213, usercpu_time_millis_testing: 1.439, usercpu_time_millis_training: 8.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.0541, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1823.3835, usercpu_time_millis: 8.572, usercpu_time_millis_testing: 1.272, usercpu_time_millis_training: 7.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.7568, kappa: 0.5092, kb_relative_information_score: 967.9552, mean_absolute_error: 0.3874, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7579, predictive_accuracy: 0.7579, prior_entropy: 0.9948, recall: 0.7579, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.8441, scimark_benchmark: 1842.6679, usercpu_time_millis: 87.282, usercpu_time_millis_testing: 1.425, usercpu_time_millis_training: 85.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.7389, kappa: 0.474, kb_relative_information_score: 607.4681, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7389, predictive_accuracy: 0.739, prior_entropy: 0.9948, recall: 0.739, relative_absolute_error: 0.8703, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.448, root_relative_squared_error: 0.8992, scimark_benchmark: 1845.7061, usercpu_time_millis: 7.46, usercpu_time_millis_testing: 0.665, usercpu_time_millis_training: 6.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.124, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1842.2855, usercpu_time_millis: 7.776, usercpu_time_millis_testing: 1.24, usercpu_time_millis_training: 6.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7377, kappa: 0.4714, kb_relative_information_score: 631.5686, mean_absolute_error: 0.4293, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7376, predictive_accuracy: 0.7379, prior_entropy: 0.9948, recall: 0.7379, relative_absolute_error: 0.8648, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.8965, scimark_benchmark: 1732.0396, usercpu_time_millis: 5.744, usercpu_time_millis_testing: 0.73, usercpu_time_millis_training: 5.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: 0.1528, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1730.2204, usercpu_time_millis: 8.337, usercpu_time_millis_testing: 1.215, usercpu_time_millis_training: 7.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: 0.0578, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1725.723, usercpu_time_millis: 11.257, usercpu_time_millis_testing: 1.64, usercpu_time_millis_training: 9.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: -0.3914, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 789.421, usercpu_time_millis: 9.684, usercpu_time_millis_testing: 1.444, usercpu_time_millis_training: 8.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7612, kappa: 0.518, kb_relative_information_score: 1091.5312, mean_absolute_error: 0.3713, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7627, predictive_accuracy: 0.7625, prior_entropy: 0.9948, recall: 0.7625, relative_absolute_error: 0.748, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8295, scimark_benchmark: 1847.8629, usercpu_time_millis: 28.354, usercpu_time_millis_testing: 0.727, usercpu_time_millis_training: 27.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.7527, kappa: 0.5012, kb_relative_information_score: 1252.7632, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7565, predictive_accuracy: 0.755, prior_entropy: 0.9948, recall: 0.755, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8301, scimark_benchmark: 1720.7608, usercpu_time_millis: 32.073, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 31.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.7483, kappa: 0.4925, kb_relative_information_score: 1234.6041, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7538, predictive_accuracy: 0.7513, prior_entropy: 0.9948, recall: 0.7513, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8338, scimark_benchmark: 1729.8197, usercpu_time_millis: 168.621, usercpu_time_millis_testing: 0.891, usercpu_time_millis_training: 167.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7472, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 976.5882, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7786, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8813, scimark_benchmark: 1735.1328, usercpu_time_millis: 372.171, usercpu_time_millis_testing: 1.695, usercpu_time_millis_training: 370.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 897.0221, mean_absolute_error: 0.3971, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7999, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8724, scimark_benchmark: 1849.3014, usercpu_time_millis: 247.114, usercpu_time_millis_testing: 1.668, usercpu_time_millis_training: 245.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.7582, kappa: 0.5122, kb_relative_information_score: 1002.5067, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7583, predictive_accuracy: 0.7587, prior_entropy: 0.9948, recall: 0.7587, relative_absolute_error: 0.7699, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8396, scimark_benchmark: 1835.8704, usercpu_time_millis: 21.649, usercpu_time_millis_testing: 0.829, usercpu_time_millis_training: 20.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.7512, kappa: 0.4981, kb_relative_information_score: 894.4509, mean_absolute_error: 0.3967, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7517, predictive_accuracy: 0.7521, prior_entropy: 0.9948, recall: 0.7521, relative_absolute_error: 0.7991, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8535, scimark_benchmark: 1767.9739, usercpu_time_millis: 26.288, usercpu_time_millis_testing: 0.839, usercpu_time_millis_training: 25.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: 0.0447, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1829.876, usercpu_time_millis: 7.105, usercpu_time_millis_testing: 1.242, usercpu_time_millis_training: 5.863,

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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From your own software

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

OpenML APIs