Task
Supervised Classification on mbagrade

Supervised Classification on mbagrade

Task 3750 Supervised Classification mbagrade 520 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6476, f_measure: 0.6351, kappa: 0.295, kb_relative_information_score: 13.4456, mean_absolute_error: 0.391, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.683, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.7839, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4825, root_relative_squared_error: 0.9661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 6.2675, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5857, f_measure: 0.5793, kappa: 0.1929, kb_relative_information_score: 2.416, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6249, predictive_accuracy: 0.6066, prior_entropy: 0.9984, recall: 0.6066, relative_absolute_error: 0.9722, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6509, f_measure: 0.652, kappa: 0.3042, kb_relative_information_score: 18.8557, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6572, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.6901, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5867, root_relative_squared_error: 1.1749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.6305, kappa: 0.2675, kb_relative_information_score: 8.7898, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6448, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6589, f_measure: 0.5882, kappa: 0.1743, kb_relative_information_score: 12.7151, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.589, predictive_accuracy: 0.5902, prior_entropy: 0.9984, recall: 0.5902, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.518, root_relative_squared_error: 1.0372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7074, f_measure: 0.6366, kappa: 0.2722, kb_relative_information_score: 10.2291, mean_absolute_error: 0.4244, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6394, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.8508, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5938, f_measure: 0.6305, kappa: 0.2675, kb_relative_information_score: 7.2018, mean_absolute_error: 0.451, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6448, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.904, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.6541, kappa: 0.3064, kb_relative_information_score: 11.4246, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6556, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8316, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6293, f_measure: 0.6541, kappa: 0.3064, kb_relative_information_score: 8.2483, mean_absolute_error: 0.4439, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6556, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8898, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4769, root_relative_squared_error: 0.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.6696, kappa: 0.3384, kb_relative_information_score: 9.7089, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.673, predictive_accuracy: 0.6721, prior_entropy: 0.9984, recall: 0.6721, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.478, root_relative_squared_error: 0.9572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, f_measure: 0.6232, kappa: 0.2453, kb_relative_information_score: 10.273, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6237, predictive_accuracy: 0.623, prior_entropy: 0.9984, recall: 0.623, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.593, kappa: 0.2253, kb_relative_information_score: 11.5043, mean_absolute_error: 0.4104, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6521, predictive_accuracy: 0.623, prior_entropy: 0.9984, recall: 0.623, relative_absolute_error: 0.8227, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.68, f_measure: 0.6554, kappa: 0.3087, kb_relative_information_score: 9.4663, mean_absolute_error: 0.4338, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6553, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8696, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 4.784, mean_absolute_error: 0.4686, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4829, root_relative_squared_error: 0.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6676, f_measure: 0.5969, kappa: 0.2009, kb_relative_information_score: 8.2858, mean_absolute_error: 0.4387, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6091, predictive_accuracy: 0.6066, prior_entropy: 0.9984, recall: 0.6066, relative_absolute_error: 0.8794, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 5.6746, mean_absolute_error: 0.4619, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4833, root_relative_squared_error: 0.9677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.5857, kappa: 0.1716, kb_relative_information_score: 11.6264, mean_absolute_error: 0.4093, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.5892, predictive_accuracy: 0.5902, prior_entropy: 0.9984, recall: 0.5902, relative_absolute_error: 0.8205, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4591, f_measure: 0.361, kb_relative_information_score: -0.1078, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.2752, predictive_accuracy: 0.5246, prior_entropy: 0.9984, recall: 0.5246, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6789, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 15.5773, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.7493, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5519, root_relative_squared_error: 1.1051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6589, f_measure: 0.6491, kappa: 0.3019, kb_relative_information_score: 9.4051, mean_absolute_error: 0.4313, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6604, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8645, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4842, root_relative_squared_error: 0.9696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6525, f_measure: 0.5863, kappa: 0.1956, kb_relative_information_score: 4.8649, mean_absolute_error: 0.4669, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6176, predictive_accuracy: 0.6066, prior_entropy: 0.9984, recall: 0.6066, relative_absolute_error: 0.936, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4591, f_measure: 0.361, kb_relative_information_score: -0.1078, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.2752, predictive_accuracy: 0.5246, prior_entropy: 0.9984, recall: 0.5246, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4591, f_measure: 0.361, kb_relative_information_score: -0.104, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.2752, predictive_accuracy: 0.5246, prior_entropy: 0.9984, recall: 0.5246, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 6.2552, mean_absolute_error: 0.4573, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9167, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6789, f_measure: 0.5705, kappa: 0.1399, kb_relative_information_score: 11.0728, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.5722, predictive_accuracy: 0.5738, prior_entropy: 0.9984, recall: 0.5738, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6255, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 16.8492, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.723, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6005, root_relative_squared_error: 1.2025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.6068, kappa: 0.2137, kb_relative_information_score: 12.5537, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6083, predictive_accuracy: 0.6066, prior_entropy: 0.9984, recall: 0.6066, relative_absolute_error: 0.7957, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.0171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5313, f_measure: 0.5793, kappa: 0.1929, kb_relative_information_score: 5.6222, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6249, predictive_accuracy: 0.6066, prior_entropy: 0.9984, recall: 0.6066, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5093, root_relative_squared_error: 1.0198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5313, f_measure: 0.5793, kappa: 0.1929, kb_relative_information_score: 5.6222, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6249, predictive_accuracy: 0.6066, prior_entropy: 0.9984, recall: 0.6066, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5093, root_relative_squared_error: 1.0198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.6554, kappa: 0.3087, kb_relative_information_score: 11.4824, mean_absolute_error: 0.4144, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6553, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8307, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.6225, kappa: 0.2428, kb_relative_information_score: 10.6139, mean_absolute_error: 0.419, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6225, predictive_accuracy: 0.623, prior_entropy: 0.9984, recall: 0.623, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6255, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 16.8492, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.723, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6005, root_relative_squared_error: 1.2025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.6541, kappa: 0.3064, kb_relative_information_score: 10.2332, mean_absolute_error: 0.4241, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6556, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8502, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.722, f_measure: 0.6554, kappa: 0.3087, kb_relative_information_score: 11.4929, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6553, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.361, kb_relative_information_score: 2.8032, mean_absolute_error: 0.4754, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.2752, predictive_accuracy: 0.5246, prior_entropy: 0.9984, recall: 0.5246, relative_absolute_error: 0.9531, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6895, root_relative_squared_error: 1.3807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6633, f_measure: 0.6453, kappa: 0.2996, kb_relative_information_score: 10.3288, mean_absolute_error: 0.4239, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6655, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8498, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.47, root_relative_squared_error: 0.9412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.722, f_measure: 0.6554, kappa: 0.3087, kb_relative_information_score: 11.4929, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6553, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4564, f_measure: 0.4484, kappa: -0.0725, kb_relative_information_score: -2.0456, mean_absolute_error: 0.5122, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.4581, predictive_accuracy: 0.4754, prior_entropy: 0.9984, recall: 0.4754, relative_absolute_error: 1.0269, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5201, root_relative_squared_error: 1.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6266, f_measure: 0.5248, kappa: 0.0484, kb_relative_information_score: 8.8679, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.5254, predictive_accuracy: 0.5246, prior_entropy: 0.9984, recall: 0.5246, relative_absolute_error: 0.8528, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5422, root_relative_squared_error: 1.0857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6212, f_measure: 0.5058, kappa: 0.0235, kb_relative_information_score: 10.9311, mean_absolute_error: 0.4055, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.5134, predictive_accuracy: 0.5082, prior_entropy: 0.9984, recall: 0.5082, relative_absolute_error: 0.8128, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5789, root_relative_squared_error: 1.1591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6417, f_measure: 0.639, kappa: 0.2816, kb_relative_information_score: 16.8492, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6441, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.723, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6005, root_relative_squared_error: 1.2025, scimark_benchmark: 1461.2356, usercpu_time_millis: 106125, usercpu_time_millis_training: 106125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6641, kappa: 0.3341, kb_relative_information_score: 20.8623, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6806, predictive_accuracy: 0.6721, prior_entropy: 0.9984, recall: 0.6721, relative_absolute_error: 0.6573, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5726, root_relative_squared_error: 1.1466, scimark_benchmark: 1461.2356, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4348, f_measure: 0.429, kappa: -0.1321, kb_relative_information_score: -7.2295, mean_absolute_error: 0.5574, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.4303, predictive_accuracy: 0.4426, prior_entropy: 0.9984, recall: 0.4426, relative_absolute_error: 1.1174, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.7466, root_relative_squared_error: 1.495, scimark_benchmark: 1959.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.361, kb_relative_information_score: 2.8032, mean_absolute_error: 0.4754, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.2752, predictive_accuracy: 0.5246, prior_entropy: 0.9984, recall: 0.5246, relative_absolute_error: 0.9531, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6895, root_relative_squared_error: 1.3807, scimark_benchmark: 1959.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6514, f_measure: 0.6407, kappa: 0.2973, kb_relative_information_score: 12.3349, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6727, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8175, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9375, scimark_benchmark: 1582.1623, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.361, kb_relative_information_score: 2.8032, mean_absolute_error: 0.4754, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.2752, predictive_accuracy: 0.5246, prior_entropy: 0.9984, recall: 0.5246, relative_absolute_error: 0.9531, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6895, root_relative_squared_error: 1.3807, scimark_benchmark: 1364.9933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4348, f_measure: 0.429, kappa: -0.1321, kb_relative_information_score: -7.2295, mean_absolute_error: 0.5574, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.4303, predictive_accuracy: 0.4426, prior_entropy: 0.9984, recall: 0.4426, relative_absolute_error: 1.1174, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.7466, root_relative_squared_error: 1.495, scimark_benchmark: 1389.7855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6417, f_measure: 0.639, kappa: 0.2816, kb_relative_information_score: 16.8492, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6441, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.723, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6005, root_relative_squared_error: 1.2025, scimark_benchmark: 1667.7382, usercpu_time_millis: 2020, usercpu_time_millis_training: 2020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6641, kappa: 0.3341, kb_relative_information_score: 20.8623, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6806, predictive_accuracy: 0.6721, prior_entropy: 0.9984, recall: 0.6721, relative_absolute_error: 0.6573, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5726, root_relative_squared_error: 1.1466, scimark_benchmark: 1489.6133, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.6491, kappa: 0.3019, kb_relative_information_score: 12.7373, mean_absolute_error: 0.4028, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6604, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.925, scimark_benchmark: 1908.2191, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6773, f_measure: 0.6351, kappa: 0.295, kb_relative_information_score: 12.7244, mean_absolute_error: 0.4024, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.683, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8068, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9398, scimark_benchmark: 1608.0938, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.6491, kappa: 0.3019, kb_relative_information_score: 12.7373, mean_absolute_error: 0.4028, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6604, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.925, scimark_benchmark: 1060.9535,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.722, f_measure: 0.6554, kappa: 0.3087, kb_relative_information_score: 11.4929, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6553, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9155, scimark_benchmark: 1276.6244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6686, f_measure: 0.6407, kappa: 0.2973, kb_relative_information_score: 12.6476, mean_absolute_error: 0.4058, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6727, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8136, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9264, scimark_benchmark: 1326.8739, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, f_measure: 0.6554, kappa: 0.3087, kb_relative_information_score: 12.7632, mean_absolute_error: 0.4021, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6553, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9245, scimark_benchmark: 1225.3388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.5058, kappa: 0.0235, kb_relative_information_score: 11.7674, mean_absolute_error: 0.3995, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.5134, predictive_accuracy: 0.5082, prior_entropy: 0.9984, recall: 0.5082, relative_absolute_error: 0.801, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5549, root_relative_squared_error: 1.1112, scimark_benchmark: 1370.2731, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.6541, kappa: 0.3064, kb_relative_information_score: 14.4119, mean_absolute_error: 0.3859, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6556, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.7736, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9466, scimark_benchmark: 1314.7724, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5867, f_measure: 0.6305, kappa: 0.2675, kb_relative_information_score: 7.2691, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6448, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9029, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9997, scimark_benchmark: 644.545, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6255, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 16.8492, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.723, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6005, root_relative_squared_error: 1.2025, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6304, f_measure: 0.6261, kappa: 0.2651, kb_relative_information_score: 16.8492, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.65, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.723, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6005, root_relative_squared_error: 1.2025, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, f_measure: 0.571, kappa: 0.1903, kb_relative_information_score: 8.0022, mean_absolute_error: 0.4378, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6351, predictive_accuracy: 0.6066, prior_entropy: 0.9984, recall: 0.6066, relative_absolute_error: 0.8776, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4933, root_relative_squared_error: 0.9879, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.6068, kappa: 0.2137, kb_relative_information_score: 12.5537, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6083, predictive_accuracy: 0.6066, prior_entropy: 0.9984, recall: 0.6066, relative_absolute_error: 0.7957, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.0171, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.6541, kappa: 0.3064, kb_relative_information_score: 11.4246, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6556, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8316, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9154, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5313, f_measure: 0.5793, kappa: 0.1929, kb_relative_information_score: 5.6222, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6249, predictive_accuracy: 0.6066, prior_entropy: 0.9984, recall: 0.6066, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5093, root_relative_squared_error: 1.0198, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.722, f_measure: 0.6554, kappa: 0.3087, kb_relative_information_score: 11.4929, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6553, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9155, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6255, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 16.8492, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.723, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6005, root_relative_squared_error: 1.2025, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6304, f_measure: 0.6261, kappa: 0.2651, kb_relative_information_score: 16.8492, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.65, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.723, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6005, root_relative_squared_error: 1.2025, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6686, f_measure: 0.6407, kappa: 0.2973, kb_relative_information_score: 12.6476, mean_absolute_error: 0.4058, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6727, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8136, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9264, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, f_measure: 0.6554, kappa: 0.3087, kb_relative_information_score: 12.7632, mean_absolute_error: 0.4021, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6553, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9245, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.5058, kappa: 0.0235, kb_relative_information_score: 11.7674, mean_absolute_error: 0.3995, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.5134, predictive_accuracy: 0.5082, prior_entropy: 0.9984, recall: 0.5082, relative_absolute_error: 0.801, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5549, root_relative_squared_error: 1.1112, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.6541, kappa: 0.3064, kb_relative_information_score: 14.4119, mean_absolute_error: 0.3859, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6556, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.7736, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9466, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5867, f_measure: 0.6305, kappa: 0.2675, kb_relative_information_score: 7.2691, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6448, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9029, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9997, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, f_measure: 0.571, kappa: 0.1903, kb_relative_information_score: 8.0022, mean_absolute_error: 0.4378, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6351, predictive_accuracy: 0.6066, prior_entropy: 0.9984, recall: 0.6066, relative_absolute_error: 0.8776, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4933, root_relative_squared_error: 0.9879, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.6068, kappa: 0.2137, kb_relative_information_score: 12.5537, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6083, predictive_accuracy: 0.6066, prior_entropy: 0.9984, recall: 0.6066, relative_absolute_error: 0.7957, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.0171, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.6541, kappa: 0.3064, kb_relative_information_score: 11.4246, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6556, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8316, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9154, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5313, f_measure: 0.5793, kappa: 0.1929, kb_relative_information_score: 5.6222, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6249, predictive_accuracy: 0.6066, prior_entropy: 0.9984, recall: 0.6066, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5093, root_relative_squared_error: 1.0198, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, f_measure: 0.6554, kappa: 0.3087, kb_relative_information_score: 12.7632, mean_absolute_error: 0.4021, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6553, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9245, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5938, f_measure: 0.6305, kappa: 0.2675, kb_relative_information_score: 7.2018, mean_absolute_error: 0.451, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6448, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.904, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9991, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6676, f_measure: 0.6407, kappa: 0.2973, kb_relative_information_score: 12.6846, mean_absolute_error: 0.4055, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6727, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.813, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9248, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.6541, kappa: 0.3064, kb_relative_information_score: 14.4119, mean_absolute_error: 0.3859, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6556, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.7736, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9466, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.6541, kappa: 0.3064, kb_relative_information_score: 14.4119, mean_absolute_error: 0.3859, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6556, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.7736, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9466, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5814, f_measure: 0.6065, kappa: 0.2304, kb_relative_information_score: 6.3276, mean_absolute_error: 0.4558, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6341, predictive_accuracy: 0.623, prior_entropy: 0.9984, recall: 0.623, relative_absolute_error: 0.9137, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0049, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5431, f_measure: 0.6065, kappa: 0.2304, kb_relative_information_score: 5.1373, mean_absolute_error: 0.4653, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6341, predictive_accuracy: 0.623, prior_entropy: 0.9984, recall: 0.623, relative_absolute_error: 0.9328, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.008, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5571, f_measure: 0.6003, kappa: 0.2278, kb_relative_information_score: 6.2754, mean_absolute_error: 0.4562, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6416, predictive_accuracy: 0.623, prior_entropy: 0.9984, recall: 0.623, relative_absolute_error: 0.9145, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9967, 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: 0.5528, f_measure: 0.6065, kappa: 0.2304, kb_relative_information_score: 5.9616, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6341, predictive_accuracy: 0.623, prior_entropy: 0.9984, recall: 0.623, relative_absolute_error: 0.9169, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9943, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6255, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 16.8492, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.723, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6005, root_relative_squared_error: 1.2025, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6255, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 16.8492, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.723, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6005, root_relative_squared_error: 1.2025, scimark_benchmark: 1183.6843, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5938, f_measure: 0.6305, kappa: 0.2675, kb_relative_information_score: 7.2018, mean_absolute_error: 0.451, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6448, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.904, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9991, scimark_benchmark: 906.5337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5959, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 6.8239, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9069, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4747, root_relative_squared_error: 0.9506, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, f_measure: 0.5922, kappa: 0.1982, kb_relative_information_score: 5.5394, mean_absolute_error: 0.462, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6125, predictive_accuracy: 0.6066, prior_entropy: 0.9984, recall: 0.6066, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5188, root_relative_squared_error: 1.0388, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6272, f_measure: 0.4844, kappa: -0.0042, kb_relative_information_score: 10.0503, mean_absolute_error: 0.4119, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.4989, predictive_accuracy: 0.4918, prior_entropy: 0.9984, recall: 0.4918, relative_absolute_error: 0.8257, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5184, root_relative_squared_error: 1.038, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6848, f_measure: 0.6491, kappa: 0.3019, kb_relative_information_score: 9.5164, mean_absolute_error: 0.4324, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6604, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8669, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4677, root_relative_squared_error: 0.9366, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5533, f_measure: 0.6065, kappa: 0.2304, kb_relative_information_score: 6.3263, mean_absolute_error: 0.4541, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6341, predictive_accuracy: 0.623, prior_entropy: 0.9984, recall: 0.623, relative_absolute_error: 0.9103, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4943, root_relative_squared_error: 0.9898, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, f_measure: 0.6225, kappa: 0.2428, kb_relative_information_score: 11.8757, mean_absolute_error: 0.4048, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6225, predictive_accuracy: 0.623, prior_entropy: 0.9984, recall: 0.623, relative_absolute_error: 0.8115, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.467, root_relative_squared_error: 0.9351, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6115, f_measure: 0.6003, kappa: 0.2278, kb_relative_information_score: 14.8426, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6416, predictive_accuracy: 0.623, prior_entropy: 0.9984, recall: 0.623, relative_absolute_error: 0.7559, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.614, root_relative_squared_error: 1.2296, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6304, f_measure: 0.6261, kappa: 0.2651, kb_relative_information_score: 16.8492, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.65, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.723, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6005, root_relative_squared_error: 1.2025, scimark_benchmark: 1870.7932,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs