Task
Supervised Classification on fri_c3_100_50

Supervised Classification on fri_c3_100_50

Task 3582 Supervised Classification fri_c3_100_50 544 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.7723, kappa: 0.524, kb_relative_information_score: 40.9172, mean_absolute_error: 0.2843, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.7784, predictive_accuracy: 0.77, prior_entropy: 0.9597, recall: 0.77, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5904, f_measure: 0.6154, kappa: 0.1768, kb_relative_information_score: 13.1659, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.6127, predictive_accuracy: 0.62, prior_entropy: 0.9597, recall: 0.62, relative_absolute_error: 0.8564, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.5521, root_relative_squared_error: 1.1374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7867, kappa: 0.5427, kb_relative_information_score: 37.6032, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.7876, predictive_accuracy: 0.79, prior_entropy: 0.9597, recall: 0.79, relative_absolute_error: 0.648, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6048, f_measure: 0.597, kappa: 0.1326, kb_relative_information_score: 10.4301, mean_absolute_error: 0.419, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.5939, predictive_accuracy: 0.61, prior_entropy: 0.9597, recall: 0.61, relative_absolute_error: 0.8882, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.5102, root_relative_squared_error: 1.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4728, f_measure: 0.5307, kappa: 0.0215, kb_relative_information_score: -1.122, mean_absolute_error: 0.4734, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.5458, predictive_accuracy: 0.6, prior_entropy: 0.9597, recall: 0.6, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.554, root_relative_squared_error: 1.1413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.521, f_measure: 0.5429, kappa: 0.02, kb_relative_information_score: -1.0345, mean_absolute_error: 0.4697, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.5384, predictive_accuracy: 0.55, prior_entropy: 0.9597, recall: 0.55, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.5399, root_relative_squared_error: 1.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.7368, kappa: 0.4367, kb_relative_information_score: 42.4347, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.7362, predictive_accuracy: 0.74, prior_entropy: 0.9597, recall: 0.74, relative_absolute_error: 0.5622, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5441, f_measure: 0.5662, kappa: 0.0733, kb_relative_information_score: 8.2967, mean_absolute_error: 0.4209, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.5635, predictive_accuracy: 0.57, prior_entropy: 0.9597, recall: 0.57, relative_absolute_error: 0.8921, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.6194, root_relative_squared_error: 1.2761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.8793, kappa: 0.7427, kb_relative_information_score: 61.0768, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.8794, predictive_accuracy: 0.88, prior_entropy: 0.9597, recall: 0.88, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.316, root_relative_squared_error: 0.6511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7699, f_measure: 0.744, kappa: 0.4498, kb_relative_information_score: 24.9185, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.7459, predictive_accuracy: 0.75, prior_entropy: 0.9597, recall: 0.75, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7882, kappa: 0.5474, kb_relative_information_score: 50.1788, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.7878, predictive_accuracy: 0.79, prior_entropy: 0.9597, recall: 0.79, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.9166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.7166, kappa: 0.3934, kb_relative_information_score: 28.7194, mean_absolute_error: 0.3421, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.7156, predictive_accuracy: 0.72, prior_entropy: 0.9597, recall: 0.72, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.9212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.528, f_measure: 0.5557, kappa: 0.0436, kb_relative_information_score: 0.0495, mean_absolute_error: 0.4626, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.5502, predictive_accuracy: 0.57, prior_entropy: 0.9597, recall: 0.57, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.5092, root_relative_squared_error: 1.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5554, f_measure: 0.5662, kappa: 0.0733, kb_relative_information_score: 3.5572, mean_absolute_error: 0.446, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.5635, predictive_accuracy: 0.57, prior_entropy: 0.9597, recall: 0.57, relative_absolute_error: 0.9454, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.5535, root_relative_squared_error: 1.1404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.82, kappa: 0.618, kb_relative_information_score: 38.2446, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9597, recall: 0.82, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.7026, kappa: 0.3601, kb_relative_information_score: 20.7642, mean_absolute_error: 0.3875, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.7179, predictive_accuracy: 0.72, prior_entropy: 0.9597, recall: 0.72, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.8639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.466, f_measure: 0.4746, kb_relative_information_score: -0.2037, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.3844, predictive_accuracy: 0.62, prior_entropy: 0.9597, recall: 0.62, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4858, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7496, f_measure: 0.6764, kappa: 0.3031, kb_relative_information_score: 27.6597, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.6809, predictive_accuracy: 0.69, prior_entropy: 0.9597, recall: 0.69, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.8273, kappa: 0.6298, kb_relative_information_score: 50.7375, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.8291, predictive_accuracy: 0.83, prior_entropy: 0.9597, recall: 0.83, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.7288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.86, kappa: 0.7029, kb_relative_information_score: 57.3069, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9597, recall: 0.86, relative_absolute_error: 0.4436, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.6769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, f_measure: 0.6671, kappa: 0.2888, kb_relative_information_score: 29.9649, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.6655, predictive_accuracy: 0.67, prior_entropy: 0.9597, recall: 0.67, relative_absolute_error: 0.6783, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.5433, root_relative_squared_error: 1.1194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5821, f_measure: 0.5886, kappa: 0.115, kb_relative_information_score: 10.9577, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.5848, predictive_accuracy: 0.6, prior_entropy: 0.9597, recall: 0.6, relative_absolute_error: 0.8789, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.1039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4741, f_measure: 0.5173, kappa: -0.0292, kb_relative_information_score: -4.5155, mean_absolute_error: 0.481, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.515, predictive_accuracy: 0.52, prior_entropy: 0.9597, recall: 0.52, relative_absolute_error: 1.0197, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.6809, root_relative_squared_error: 1.4028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5976, f_measure: 0.6297, kappa: 0.2035, kb_relative_information_score: 21.7236, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.6278, predictive_accuracy: 0.64, prior_entropy: 0.9597, recall: 0.64, relative_absolute_error: 0.7631, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.7293, kappa: 0.4241, kb_relative_information_score: 28.5631, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.7287, predictive_accuracy: 0.73, prior_entropy: 0.9597, recall: 0.73, relative_absolute_error: 0.7212, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.721, kappa: 0.3995, kb_relative_information_score: 41.2503, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.7249, predictive_accuracy: 0.73, prior_entropy: 0.9597, recall: 0.73, relative_absolute_error: 0.5723, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.5889, kappa: 0.1254, kb_relative_information_score: 9.7744, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.5879, predictive_accuracy: 0.59, prior_entropy: 0.9597, recall: 0.59, relative_absolute_error: 0.8776, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, f_measure: 0.6671, kappa: 0.2888, kb_relative_information_score: 29.9649, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.6655, predictive_accuracy: 0.67, prior_entropy: 0.9597, recall: 0.67, relative_absolute_error: 0.6783, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.5433, root_relative_squared_error: 1.1194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6125, f_measure: 0.6006, kappa: 0.1417, kb_relative_information_score: 11.3946, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.5972, predictive_accuracy: 0.61, prior_entropy: 0.9597, recall: 0.61, relative_absolute_error: 0.8778, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.5082, root_relative_squared_error: 1.0469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.7114, kappa: 0.3796, kb_relative_information_score: 17.8264, mean_absolute_error: 0.401, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.7318, predictive_accuracy: 0.73, prior_entropy: 0.9597, recall: 0.73, relative_absolute_error: 0.85, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.431, root_relative_squared_error: 0.8879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, f_measure: 0.7182, kappa: 0.393, kb_relative_information_score: 41.2503, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.726, predictive_accuracy: 0.73, prior_entropy: 0.9597, recall: 0.73, relative_absolute_error: 0.5723, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5821, f_measure: 0.5886, kappa: 0.115, kb_relative_information_score: 10.9577, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.5848, predictive_accuracy: 0.6, prior_entropy: 0.9597, recall: 0.6, relative_absolute_error: 0.8789, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.1039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5059, f_measure: 0.4601, kappa: -0.0589, kb_relative_information_score: -0.036, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.3771, predictive_accuracy: 0.59, prior_entropy: 0.9597, recall: 0.59, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.6019, kappa: 0.1597, kb_relative_information_score: 4.5881, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.6042, predictive_accuracy: 0.6, prior_entropy: 0.9597, recall: 0.6, relative_absolute_error: 0.9496, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7445, f_measure: 0.7434, kappa: 0.4698, kb_relative_information_score: 43.4199, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.7562, predictive_accuracy: 0.74, prior_entropy: 0.9597, recall: 0.74, relative_absolute_error: 0.5511, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4746, kb_relative_information_score: 17.3843, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.3844, predictive_accuracy: 0.62, prior_entropy: 0.9597, recall: 0.62, relative_absolute_error: 0.8055, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.27, scimark_benchmark: 1697.6783, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5238, f_measure: 0.5592, kappa: 0.0506, kb_relative_information_score: 8.7058, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.5546, predictive_accuracy: 0.58, prior_entropy: 0.9597, recall: 0.58, relative_absolute_error: 0.8903, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3352, scimark_benchmark: 1697.6783, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5153, f_measure: 0.5208, kappa: 0.0365, kb_relative_information_score: 17.3843, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.5791, predictive_accuracy: 0.62, prior_entropy: 0.9597, recall: 0.62, relative_absolute_error: 0.8055, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.27, scimark_benchmark: 1862.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5238, f_measure: 0.5592, kappa: 0.0506, kb_relative_information_score: 8.7058, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.5546, predictive_accuracy: 0.58, prior_entropy: 0.9597, recall: 0.58, relative_absolute_error: 0.8903, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3352, scimark_benchmark: 1354.6357, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5153, f_measure: 0.5208, kappa: 0.0365, kb_relative_information_score: 17.3843, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.5791, predictive_accuracy: 0.62, prior_entropy: 0.9597, recall: 0.62, relative_absolute_error: 0.8055, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.27, scimark_benchmark: 1607.5022, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4746, kb_relative_information_score: 17.3843, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.3844, predictive_accuracy: 0.62, prior_entropy: 0.9597, recall: 0.62, relative_absolute_error: 0.8055, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.27, scimark_benchmark: 1386.659, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4376, f_measure: 0.4765, kappa: -0.0861, kb_relative_information_score: -11.5255, mean_absolute_error: 0.509, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.4874, predictive_accuracy: 0.47, prior_entropy: 0.9597, recall: 0.47, relative_absolute_error: 1.079, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.6687, root_relative_squared_error: 1.3776, scimark_benchmark: 1918.4916, usercpu_time_millis: 750, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4794, f_measure: 0.5374, kappa: 0.0137, kb_relative_information_score: -1.9706, mean_absolute_error: 0.4697, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.5353, predictive_accuracy: 0.54, prior_entropy: 0.9597, recall: 0.54, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.6658, root_relative_squared_error: 1.3716, scimark_benchmark: 1918.4916, usercpu_time_millis: 984.375, usercpu_time_millis_training: 984.375,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4631, f_measure: 0.5222, kappa: -0.0084, kb_relative_information_score: -4.7997, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.5248, predictive_accuracy: 0.52, prior_entropy: 0.9597, recall: 0.52, relative_absolute_error: 1.0231, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.6725, root_relative_squared_error: 1.3854, scimark_benchmark: 1346.8814, usercpu_time_millis: 1630, usercpu_time_millis_training: 1630,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5323, f_measure: 0.5597, kappa: 0.0537, kb_relative_information_score: 1.4196, mean_absolute_error: 0.4601, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.5547, predictive_accuracy: 0.57, prior_entropy: 0.9597, recall: 0.57, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4951, root_relative_squared_error: 1.02, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8504, kappa: 0.6833, kb_relative_information_score: 55.0474, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.8509, predictive_accuracy: 0.85, prior_entropy: 0.9597, recall: 0.85, relative_absolute_error: 0.4647, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6857, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.5429, kappa: 0.02, kb_relative_information_score: 1.1118, mean_absolute_error: 0.4582, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.5384, predictive_accuracy: 0.55, prior_entropy: 0.9597, recall: 0.55, relative_absolute_error: 0.9712, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.5216, root_relative_squared_error: 1.0745, 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: 0.5, f_measure: 0.4746, kb_relative_information_score: 17.3843, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.3844, predictive_accuracy: 0.62, prior_entropy: 0.9597, recall: 0.62, relative_absolute_error: 0.8055, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7037, f_measure: 0.7326, kappa: 0.4248, kb_relative_information_score: 43.4199, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.7354, predictive_accuracy: 0.74, prior_entropy: 0.9597, recall: 0.74, relative_absolute_error: 0.5511, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0505, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4593, f_measure: 0.4939, kappa: -0.0832, kb_relative_information_score: -8.6513, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.4893, predictive_accuracy: 0.5, prior_entropy: 0.9597, recall: 0.5, relative_absolute_error: 1.0599, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4568, 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: 0.8103, f_measure: 0.8022, kappa: 0.5881, kb_relative_information_score: 46.51, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.8102, predictive_accuracy: 0.8, prior_entropy: 0.9597, recall: 0.8, relative_absolute_error: 0.5484, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8309, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.7829, kappa: 0.5514, kb_relative_information_score: 42.1774, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.7957, predictive_accuracy: 0.78, prior_entropy: 0.9597, recall: 0.78, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.838, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7326, kappa: 0.4248, kb_relative_information_score: 25.8892, mean_absolute_error: 0.3555, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.7354, predictive_accuracy: 0.74, prior_entropy: 0.9597, recall: 0.74, relative_absolute_error: 0.7535, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.8906, 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: 0.4728, f_measure: 0.5307, kappa: 0.0215, kb_relative_information_score: -1.122, mean_absolute_error: 0.4734, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.5458, predictive_accuracy: 0.6, prior_entropy: 0.9597, recall: 0.6, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.554, root_relative_squared_error: 1.1413, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.8413, kappa: 0.6672, kb_relative_information_score: 60.6767, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.8454, predictive_accuracy: 0.84, prior_entropy: 0.9597, recall: 0.84, relative_absolute_error: 0.3969, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7789, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, f_measure: 0.6671, kappa: 0.2888, kb_relative_information_score: 29.9649, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.6655, predictive_accuracy: 0.67, prior_entropy: 0.9597, recall: 0.67, relative_absolute_error: 0.6783, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.5433, root_relative_squared_error: 1.1194, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8903, kappa: 0.7677, kb_relative_information_score: 61.2256, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.8907, predictive_accuracy: 0.89, prior_entropy: 0.9597, recall: 0.89, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.6561, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.7114, kappa: 0.3796, kb_relative_information_score: 17.8264, mean_absolute_error: 0.401, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.7318, predictive_accuracy: 0.73, prior_entropy: 0.9597, recall: 0.73, relative_absolute_error: 0.85, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.431, root_relative_squared_error: 0.8879, scimark_benchmark: 1838.8826, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.86, kappa: 0.7029, kb_relative_information_score: 68.2725, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.4718, number_of_instances: 100, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9597, recall: 0.86, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.7628, scimark_benchmark: 1838.8826,

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