Task
Supervised Classification on fri_c4_250_50

Supervised Classification on fri_c4_250_50

Task 3781 Supervised Classification fri_c4_250_50 600 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: 0.6634, f_measure: 0.6211, kappa: 0.239, kb_relative_information_score: 29.2807, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6271, predictive_accuracy: 0.628, prior_entropy: 0.9955, recall: 0.628, relative_absolute_error: 0.9003, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.7791, kappa: 0.5546, kb_relative_information_score: 110.6911, mean_absolute_error: 0.2922, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7802, predictive_accuracy: 0.78, prior_entropy: 0.9955, recall: 0.78, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.6086, kappa: 0.215, kb_relative_information_score: 35.8668, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6105, predictive_accuracy: 0.608, prior_entropy: 0.9955, recall: 0.608, relative_absolute_error: 0.8684, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5084, root_relative_squared_error: 1.0202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6192, f_measure: 0.6086, kappa: 0.215, kb_relative_information_score: 30.6707, mean_absolute_error: 0.4436, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6105, predictive_accuracy: 0.608, prior_entropy: 0.9955, recall: 0.608, relative_absolute_error: 0.8929, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5059, root_relative_squared_error: 1.0151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.8101, kappa: 0.6174, kb_relative_information_score: 104.5696, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8159, predictive_accuracy: 0.812, prior_entropy: 0.9955, recall: 0.812, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.7666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5539, f_measure: 0.5632, kappa: 0.1202, kb_relative_information_score: 15.1676, mean_absolute_error: 0.4706, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5642, predictive_accuracy: 0.568, prior_entropy: 0.9955, recall: 0.568, relative_absolute_error: 0.9473, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5302, root_relative_squared_error: 1.0638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.7757, kappa: 0.548, kb_relative_information_score: 136.3614, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7757, predictive_accuracy: 0.776, prior_entropy: 0.9955, recall: 0.776, relative_absolute_error: 0.4534, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6227, f_measure: 0.6162, kappa: 0.228, kb_relative_information_score: 42.8617, mean_absolute_error: 0.4153, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6165, predictive_accuracy: 0.616, prior_entropy: 0.9955, recall: 0.616, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5569, root_relative_squared_error: 1.1175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, f_measure: 0.7841, kappa: 0.5658, kb_relative_information_score: 128.4757, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7844, predictive_accuracy: 0.784, prior_entropy: 0.9955, recall: 0.784, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, f_measure: 0.7282, kappa: 0.4532, kb_relative_information_score: 109.9097, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7284, predictive_accuracy: 0.728, prior_entropy: 0.9955, recall: 0.728, relative_absolute_error: 0.5629, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7072, f_measure: 0.736, kappa: 0.4686, kb_relative_information_score: 44.7226, mean_absolute_error: 0.4235, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.736, predictive_accuracy: 0.736, prior_entropy: 0.9955, recall: 0.736, relative_absolute_error: 0.8525, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5855, f_measure: 0.5894, kappa: 0.1746, kb_relative_information_score: 17.9115, mean_absolute_error: 0.4649, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5931, predictive_accuracy: 0.596, prior_entropy: 0.9955, recall: 0.596, relative_absolute_error: 0.9358, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5109, root_relative_squared_error: 1.0252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.712, kappa: 0.4203, kb_relative_information_score: 41.6693, mean_absolute_error: 0.4295, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.712, predictive_accuracy: 0.712, prior_entropy: 0.9955, recall: 0.712, relative_absolute_error: 0.8644, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.548, f_measure: 0.5517, kappa: 0.0971, kb_relative_information_score: 14.9504, mean_absolute_error: 0.4692, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5514, predictive_accuracy: 0.552, prior_entropy: 0.9955, recall: 0.552, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5759, root_relative_squared_error: 1.1555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.8034, kappa: 0.6037, kb_relative_information_score: 123.6857, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8041, predictive_accuracy: 0.804, prior_entropy: 0.9955, recall: 0.804, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.7277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.7823, kappa: 0.5613, kb_relative_information_score: 77.9997, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7857, predictive_accuracy: 0.784, prior_entropy: 0.9955, recall: 0.784, relative_absolute_error: 0.7341, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4799, f_measure: 0.3787, kb_relative_information_score: -0.0764, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9955, recall: 0.54, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8478, kappa: 0.6933, kb_relative_information_score: 156.9448, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9955, recall: 0.848, relative_absolute_error: 0.3827, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.7763, kappa: 0.5514, kb_relative_information_score: 90.7669, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7783, predictive_accuracy: 0.776, prior_entropy: 0.9955, recall: 0.776, relative_absolute_error: 0.6608, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.8523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.8159, kappa: 0.6292, kb_relative_information_score: 116.4737, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8158, predictive_accuracy: 0.816, prior_entropy: 0.9955, recall: 0.816, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.7672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.7754, kappa: 0.5474, kb_relative_information_score: 136.3338, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7758, predictive_accuracy: 0.776, prior_entropy: 0.9955, recall: 0.776, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.6404, kappa: 0.2772, kb_relative_information_score: 44.7054, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6411, predictive_accuracy: 0.64, prior_entropy: 0.9955, recall: 0.64, relative_absolute_error: 0.8375, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.566, f_measure: 0.5607, kappa: 0.1189, kb_relative_information_score: 19.0197, mean_absolute_error: 0.461, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5625, predictive_accuracy: 0.56, prior_entropy: 0.9955, recall: 0.56, relative_absolute_error: 0.9278, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5599, root_relative_squared_error: 1.1234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.7754, kappa: 0.5474, kb_relative_information_score: 136.3338, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7758, predictive_accuracy: 0.776, prior_entropy: 0.9955, recall: 0.776, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.6894, kappa: 0.374, kb_relative_information_score: 94.5729, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6918, predictive_accuracy: 0.692, prior_entropy: 0.9955, recall: 0.692, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.555, root_relative_squared_error: 1.1135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, f_measure: 0.7029, kappa: 0.4011, kb_relative_information_score: 101.7464, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7033, predictive_accuracy: 0.704, prior_entropy: 0.9955, recall: 0.704, relative_absolute_error: 0.5964, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6692, f_measure: 0.6718, kappa: 0.3389, kb_relative_information_score: 84.4814, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6716, predictive_accuracy: 0.672, prior_entropy: 0.9955, recall: 0.672, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5727, root_relative_squared_error: 1.1491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6486, f_measure: 0.6353, kappa: 0.2649, kb_relative_information_score: 36.8221, mean_absolute_error: 0.4322, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.635, predictive_accuracy: 0.636, prior_entropy: 0.9955, recall: 0.636, relative_absolute_error: 0.8698, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.6875, kappa: 0.3704, kb_relative_information_score: 49.8893, mean_absolute_error: 0.4104, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6874, predictive_accuracy: 0.688, prior_entropy: 0.9955, recall: 0.688, relative_absolute_error: 0.8261, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4751, root_relative_squared_error: 0.9532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, f_measure: 0.7102, kappa: 0.4158, kb_relative_information_score: 104.6644, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7117, predictive_accuracy: 0.712, prior_entropy: 0.9955, recall: 0.712, relative_absolute_error: 0.5797, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.0768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8116, kappa: 0.6204, kb_relative_information_score: 68.145, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8119, predictive_accuracy: 0.812, prior_entropy: 0.9955, recall: 0.812, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.6404, kappa: 0.2772, kb_relative_information_score: 44.7054, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6411, predictive_accuracy: 0.64, prior_entropy: 0.9955, recall: 0.64, relative_absolute_error: 0.8375, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6289, f_measure: 0.5736, kappa: 0.1461, kb_relative_information_score: 10.1067, mean_absolute_error: 0.4813, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5805, predictive_accuracy: 0.584, prior_entropy: 0.9955, recall: 0.584, relative_absolute_error: 0.9687, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4897, root_relative_squared_error: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7653, f_measure: 0.6878, kappa: 0.3808, kb_relative_information_score: 56.7976, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6983, predictive_accuracy: 0.688, prior_entropy: 0.9955, recall: 0.688, relative_absolute_error: 0.7979, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.8875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.7563, kappa: 0.5104, kb_relative_information_score: 126.8656, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7572, predictive_accuracy: 0.756, prior_entropy: 0.9955, recall: 0.756, relative_absolute_error: 0.4911, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5332, f_measure: 0.4845, kappa: 0.0703, kb_relative_information_score: 29.9874, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5809, predictive_accuracy: 0.564, prior_entropy: 0.9955, recall: 0.564, relative_absolute_error: 0.8776, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6603, root_relative_squared_error: 1.3249, scimark_benchmark: 1280.301, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5739, f_measure: 0.5762, kappa: 0.1476, kb_relative_information_score: 36.0423, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5766, predictive_accuracy: 0.576, prior_entropy: 0.9955, recall: 0.576, relative_absolute_error: 0.8534, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6512, root_relative_squared_error: 1.3065, scimark_benchmark: 1280.301, usercpu_time_millis: 140.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6029, f_measure: 0.6066, kappa: 0.2069, kb_relative_information_score: 52.1887, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6064, predictive_accuracy: 0.608, prior_entropy: 0.9955, recall: 0.608, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2562, scimark_benchmark: 1461.2356, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.587, f_measure: 0.5885, kappa: 0.1734, kb_relative_information_score: 42.0972, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5895, predictive_accuracy: 0.588, prior_entropy: 0.9955, recall: 0.588, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6419, root_relative_squared_error: 1.2879, scimark_benchmark: 1461.2356, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5622, f_measure: 0.5684, kappa: 0.1327, kb_relative_information_score: 25.3065, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5692, predictive_accuracy: 0.568, prior_entropy: 0.9955, recall: 0.568, relative_absolute_error: 0.9033, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5721, root_relative_squared_error: 1.1479, scimark_benchmark: 1787.9841, usercpu_time_millis: 1953.125, usercpu_time_millis_training: 1953.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5622, f_measure: 0.5684, kappa: 0.1327, kb_relative_information_score: 25.3065, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5692, predictive_accuracy: 0.568, prior_entropy: 0.9955, recall: 0.568, relative_absolute_error: 0.9033, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5721, root_relative_squared_error: 1.1479, scimark_benchmark: 1550.8278, usercpu_time_millis: 1880, usercpu_time_millis_training: 1880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.587, f_measure: 0.5885, kappa: 0.1734, kb_relative_information_score: 42.0972, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5895, predictive_accuracy: 0.588, prior_entropy: 0.9955, recall: 0.588, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6419, root_relative_squared_error: 1.2879, scimark_benchmark: 1380.3184, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6029, f_measure: 0.6066, kappa: 0.2069, kb_relative_information_score: 52.1887, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6064, predictive_accuracy: 0.608, prior_entropy: 0.9955, recall: 0.608, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2562, scimark_benchmark: 1389.4834, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5332, f_measure: 0.4845, kappa: 0.0703, kb_relative_information_score: 29.9874, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5809, predictive_accuracy: 0.564, prior_entropy: 0.9955, recall: 0.564, relative_absolute_error: 0.8776, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6603, root_relative_squared_error: 1.3249, scimark_benchmark: 1383.1445, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5507, f_measure: 0.5418, kappa: 0.0995, kb_relative_information_score: 19.896, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5556, predictive_accuracy: 0.544, prior_entropy: 0.9955, recall: 0.544, relative_absolute_error: 0.9178, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6753, root_relative_squared_error: 1.3549, scimark_benchmark: 1618.1738, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.7997, kappa: 0.5964, kb_relative_information_score: 68.6562, mean_absolute_error: 0.3821, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7998, predictive_accuracy: 0.8, prior_entropy: 0.9955, recall: 0.8, relative_absolute_error: 0.7691, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8167, scimark_benchmark: 1925.3565, usercpu_time_millis: 140.625, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 93.75,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.7754, kappa: 0.5474, kb_relative_information_score: 136.3338, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7758, predictive_accuracy: 0.776, prior_entropy: 0.9955, recall: 0.776, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9262, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.6404, kappa: 0.2772, kb_relative_information_score: 44.7054, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6411, predictive_accuracy: 0.64, prior_entropy: 0.9955, recall: 0.64, relative_absolute_error: 0.8375, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0112, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.7654, kappa: 0.5275, kb_relative_information_score: 107.3598, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.771, predictive_accuracy: 0.768, prior_entropy: 0.9955, recall: 0.768, relative_absolute_error: 0.5991, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8762, 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: 0.7179, f_measure: 0.7523, kappa: 0.5021, kb_relative_information_score: 75.268, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7529, predictive_accuracy: 0.752, prior_entropy: 0.9955, recall: 0.752, relative_absolute_error: 0.739, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.8686, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, f_measure: 0.642, kappa: 0.2783, kb_relative_information_score: 15.456, mean_absolute_error: 0.4733, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6426, predictive_accuracy: 0.644, prior_entropy: 0.9955, recall: 0.644, relative_absolute_error: 0.9526, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4932, root_relative_squared_error: 0.9896, 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: 0.6699, f_measure: 0.672, kappa: 0.3398, kb_relative_information_score: 84.4814, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.672, predictive_accuracy: 0.672, prior_entropy: 0.9955, recall: 0.672, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5727, root_relative_squared_error: 1.1491, 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: 0.5752, f_measure: 0.5766, kappa: 0.1498, kb_relative_information_score: 36.0423, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5778, predictive_accuracy: 0.576, prior_entropy: 0.9955, recall: 0.576, relative_absolute_error: 0.8534, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6512, root_relative_squared_error: 1.3065, scimark_benchmark: 1465.1698, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.597, f_measure: 0.6005, kappa: 0.1979, kb_relative_information_score: 27.9352, mean_absolute_error: 0.446, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6018, predictive_accuracy: 0.6, prior_entropy: 0.9955, recall: 0.6, relative_absolute_error: 0.8977, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5378, root_relative_squared_error: 1.0791, scimark_benchmark: 1030.0159, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.7763, kappa: 0.5526, kb_relative_information_score: 94.9602, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7803, predictive_accuracy: 0.776, prior_entropy: 0.9955, recall: 0.776, relative_absolute_error: 0.6476, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.81, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.7277, kappa: 0.4751, kb_relative_information_score: 117.3877, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7694, predictive_accuracy: 0.732, prior_entropy: 0.9955, recall: 0.732, relative_absolute_error: 0.5295, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.8665, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5242, f_measure: 0.5022, kappa: 0.0579, kb_relative_information_score: 7.7449, mean_absolute_error: 0.4801, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5379, predictive_accuracy: 0.516, prior_entropy: 0.9955, recall: 0.516, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6024, root_relative_squared_error: 1.2087, scimark_benchmark: 1840.6094, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6037, f_measure: 0.6032, kappa: 0.2003, kb_relative_information_score: 19.1432, mean_absolute_error: 0.4648, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6029, predictive_accuracy: 0.604, prior_entropy: 0.9955, recall: 0.604, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0012, scimark_benchmark: 1873.1108, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.8161, kappa: 0.6301, kb_relative_information_score: 112.8194, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8163, predictive_accuracy: 0.816, prior_entropy: 0.9955, recall: 0.816, relative_absolute_error: 0.5724, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.7809, 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: 0.5797, f_measure: 0.5632, kappa: 0.1202, kb_relative_information_score: 17.3662, mean_absolute_error: 0.4657, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5642, predictive_accuracy: 0.568, prior_entropy: 0.9955, recall: 0.568, relative_absolute_error: 0.9373, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.04, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.7713, kappa: 0.539, kb_relative_information_score: 134.9388, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7718, predictive_accuracy: 0.772, prior_entropy: 0.9955, recall: 0.772, relative_absolute_error: 0.4589, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3787, kb_relative_information_score: 17.8777, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9955, recall: 0.54, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6625, f_measure: 0.6642, kappa: 0.3245, kb_relative_information_score: 80.4448, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6645, predictive_accuracy: 0.664, prior_entropy: 0.9955, recall: 0.664, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.163, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5507, f_measure: 0.5418, kappa: 0.0995, kb_relative_information_score: 19.896, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5556, predictive_accuracy: 0.544, prior_entropy: 0.9955, recall: 0.544, relative_absolute_error: 0.9178, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6753, root_relative_squared_error: 1.3549, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.7484, kappa: 0.4957, kb_relative_information_score: 92.771, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7507, predictive_accuracy: 0.748, prior_entropy: 0.9955, recall: 0.748, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.8733, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.728, f_measure: 0.7309, kappa: 0.4574, kb_relative_information_score: 77.0379, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7317, predictive_accuracy: 0.732, prior_entropy: 0.9955, recall: 0.732, relative_absolute_error: 0.7232, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9154, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6679, f_measure: 0.6837, kappa: 0.3732, kb_relative_information_score: 38.9814, mean_absolute_error: 0.4316, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.695, predictive_accuracy: 0.684, prior_entropy: 0.9955, recall: 0.684, relative_absolute_error: 0.8688, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9907, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.6086, kappa: 0.215, kb_relative_information_score: 35.8668, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6105, predictive_accuracy: 0.608, prior_entropy: 0.9955, recall: 0.608, relative_absolute_error: 0.8684, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5084, root_relative_squared_error: 1.0202, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,

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