OpenML
Supervised Classification on fri_c4_1000_50

Supervised Classification on fri_c4_1000_50

Task 3662 Supervised Classification fri_c4_1000_50 408 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: 0.7229, f_measure: 0.7009, kappa: 0.3909, kb_relative_information_score: 212.4555, mean_absolute_error: 0.3995, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.7014, predictive_accuracy: 0.703, prior_entropy: 0.9896, recall: 0.703, relative_absolute_error: 0.8107, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.8459, kappa: 0.687, kb_relative_information_score: 607.0808, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8458, predictive_accuracy: 0.846, prior_entropy: 0.9896, recall: 0.846, relative_absolute_error: 0.4162, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.688, kappa: 0.3648, kb_relative_information_score: 182.1545, mean_absolute_error: 0.4172, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6882, predictive_accuracy: 0.69, prior_entropy: 0.9896, recall: 0.69, relative_absolute_error: 0.8465, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8796, kappa: 0.7552, kb_relative_information_score: 644.4917, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8801, predictive_accuracy: 0.88, prior_entropy: 0.9896, recall: 0.88, relative_absolute_error: 0.3822, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7037, f_measure: 0.688, kappa: 0.3648, kb_relative_information_score: 198.7923, mean_absolute_error: 0.4053, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6882, predictive_accuracy: 0.69, prior_entropy: 0.9896, recall: 0.69, relative_absolute_error: 0.8225, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5735, f_measure: 0.588, kappa: 0.1625, kb_relative_information_score: 94.0319, mean_absolute_error: 0.4511, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.5874, predictive_accuracy: 0.589, prior_entropy: 0.9896, recall: 0.589, relative_absolute_error: 0.9154, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5291, root_relative_squared_error: 1.0658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.866, kappa: 0.7282, kb_relative_information_score: 723.5816, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8661, predictive_accuracy: 0.866, prior_entropy: 0.9896, recall: 0.866, relative_absolute_error: 0.275, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.7118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.6652, kappa: 0.3182, kb_relative_information_score: 216.2831, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6665, predictive_accuracy: 0.669, prior_entropy: 0.9896, recall: 0.669, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9039, kappa: 0.8049, kb_relative_information_score: 669.0991, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.9039, predictive_accuracy: 0.904, prior_entropy: 0.9896, recall: 0.904, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.5497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, f_measure: 0.7597, kappa: 0.5118, kb_relative_information_score: 492.6987, mean_absolute_error: 0.2512, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.7595, predictive_accuracy: 0.76, prior_entropy: 0.9896, recall: 0.76, relative_absolute_error: 0.5097, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7034, f_measure: 0.6646, kappa: 0.3171, kb_relative_information_score: 171.9452, mean_absolute_error: 0.4177, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6647, predictive_accuracy: 0.667, prior_entropy: 0.9896, recall: 0.667, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6279, f_measure: 0.7236, kappa: 0.4374, kb_relative_information_score: 108.9111, mean_absolute_error: 0.4526, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.7238, predictive_accuracy: 0.725, prior_entropy: 0.9896, recall: 0.725, relative_absolute_error: 0.9184, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4883, root_relative_squared_error: 0.9837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.5913, kappa: 0.168, kb_relative_information_score: 91.6612, mean_absolute_error: 0.4511, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.5906, predictive_accuracy: 0.594, prior_entropy: 0.9896, recall: 0.594, relative_absolute_error: 0.9153, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6829, f_measure: 0.6429, kappa: 0.275, kb_relative_information_score: 243.3093, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6427, predictive_accuracy: 0.643, prior_entropy: 0.9896, recall: 0.643, relative_absolute_error: 0.7571, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5202, root_relative_squared_error: 1.0481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.8889, kappa: 0.7744, kb_relative_information_score: 648.8133, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8889, predictive_accuracy: 0.889, prior_entropy: 0.9896, recall: 0.889, relative_absolute_error: 0.3741, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8585, kappa: 0.7121, kb_relative_information_score: 385.1645, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8591, predictive_accuracy: 0.859, prior_entropy: 0.9896, recall: 0.859, relative_absolute_error: 0.6698, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: -0.0053, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9896, recall: 0.56, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4964, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.777, kappa: 0.5474, kb_relative_information_score: 413.1063, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.7769, predictive_accuracy: 0.777, prior_entropy: 0.9896, recall: 0.777, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.8078, kappa: 0.6096, kb_relative_information_score: 571.2584, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8077, predictive_accuracy: 0.808, prior_entropy: 0.9896, recall: 0.808, relative_absolute_error: 0.4345, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.7229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.8879, kappa: 0.7725, kb_relative_information_score: 718.5659, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8879, predictive_accuracy: 0.888, prior_entropy: 0.9896, recall: 0.888, relative_absolute_error: 0.2901, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.5635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.6481, kappa: 0.2844, kb_relative_information_score: 283.2092, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6476, predictive_accuracy: 0.649, prior_entropy: 0.9896, recall: 0.649, relative_absolute_error: 0.7122, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5925, root_relative_squared_error: 1.1935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.8327, kappa: 0.6599, kb_relative_information_score: 649.2233, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8327, predictive_accuracy: 0.833, prior_entropy: 0.9896, recall: 0.833, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.8327, kappa: 0.6599, kb_relative_information_score: 649.2233, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8327, predictive_accuracy: 0.833, prior_entropy: 0.9896, recall: 0.833, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7038, f_measure: 0.688, kappa: 0.3648, kb_relative_information_score: 198.8723, mean_absolute_error: 0.4053, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6882, predictive_accuracy: 0.69, prior_entropy: 0.9896, recall: 0.69, relative_absolute_error: 0.8224, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.6351, kappa: 0.2574, kb_relative_information_score: 180.2915, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6346, predictive_accuracy: 0.637, prior_entropy: 0.9896, recall: 0.637, relative_absolute_error: 0.8343, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4883, root_relative_squared_error: 0.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7088, f_measure: 0.6787, kappa: 0.3458, kb_relative_information_score: 194.3238, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.679, predictive_accuracy: 0.681, prior_entropy: 0.9896, recall: 0.681, relative_absolute_error: 0.8276, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8522, kappa: 0.6993, kb_relative_information_score: 398.6281, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8534, predictive_accuracy: 0.853, prior_entropy: 0.9896, recall: 0.853, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.7188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.7001, kappa: 0.3901, kb_relative_information_score: 389.3942, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6998, predictive_accuracy: 0.701, prior_entropy: 0.9896, recall: 0.701, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5468, root_relative_squared_error: 1.1016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.7689, kappa: 0.5296, kb_relative_information_score: 492.1321, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.7693, predictive_accuracy: 0.77, prior_entropy: 0.9896, recall: 0.77, relative_absolute_error: 0.5155, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.6861, kappa: 0.3607, kb_relative_information_score: 200.3588, mean_absolute_error: 0.4051, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6871, predictive_accuracy: 0.689, prior_entropy: 0.9896, recall: 0.689, relative_absolute_error: 0.822, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6334, f_measure: 0.6416, kappa: 0.2702, kb_relative_information_score: 275.0411, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.642, predictive_accuracy: 0.645, prior_entropy: 0.9896, recall: 0.645, relative_absolute_error: 0.7204, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5958, root_relative_squared_error: 1.2003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7038, f_measure: 0.688, kappa: 0.3648, kb_relative_information_score: 198.8723, mean_absolute_error: 0.4053, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6882, predictive_accuracy: 0.69, prior_entropy: 0.9896, recall: 0.69, relative_absolute_error: 0.8224, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, f_measure: 0.6559, kappa: 0.2991, kb_relative_information_score: 142.4755, mean_absolute_error: 0.4325, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6572, predictive_accuracy: 0.66, prior_entropy: 0.9896, recall: 0.66, relative_absolute_error: 0.8776, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.465, root_relative_squared_error: 0.9367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8015, kappa: 0.5986, kb_relative_information_score: 379.683, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.803, predictive_accuracy: 0.801, prior_entropy: 0.9896, recall: 0.801, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.8291, kappa: 0.6533, kb_relative_information_score: 650.7727, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8291, predictive_accuracy: 0.829, prior_entropy: 0.9896, recall: 0.829, relative_absolute_error: 0.347, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6239, f_measure: 0.6321, kappa: 0.2571, kb_relative_information_score: 279.1252, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6473, predictive_accuracy: 0.647, prior_entropy: 0.9896, recall: 0.647, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5941, root_relative_squared_error: 1.1969, scimark_benchmark: 1631.1992, usercpu_time_millis: 1453.125, usercpu_time_millis_testing: 562.5, usercpu_time_millis_training: 890.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6167, f_measure: 0.6249, kappa: 0.2362, kb_relative_information_score: 240.3268, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6247, predictive_accuracy: 0.628, prior_entropy: 0.9896, recall: 0.628, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.2287, scimark_benchmark: 1697.6783, usercpu_time_millis: 1453.125, usercpu_time_millis_testing: 625, usercpu_time_millis_training: 828.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.6544, kappa: 0.2961, kb_relative_information_score: 301.5874, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6552, predictive_accuracy: 0.658, prior_entropy: 0.9896, recall: 0.658, relative_absolute_error: 0.694, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5848, root_relative_squared_error: 1.1781, scimark_benchmark: 1862.8608, usercpu_time_millis: 1015.625, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 515.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6167, f_measure: 0.6249, kappa: 0.2362, kb_relative_information_score: 240.3268, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6247, predictive_accuracy: 0.628, prior_entropy: 0.9896, recall: 0.628, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.2287, scimark_benchmark: 1308.0192, usercpu_time_millis: 700, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.6544, kappa: 0.2961, kb_relative_information_score: 301.5874, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6552, predictive_accuracy: 0.658, prior_entropy: 0.9896, recall: 0.658, relative_absolute_error: 0.694, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5848, root_relative_squared_error: 1.1781, scimark_benchmark: 1322.2046, usercpu_time_millis: 720, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6239, f_measure: 0.6321, kappa: 0.2571, kb_relative_information_score: 279.1252, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6473, predictive_accuracy: 0.647, prior_entropy: 0.9896, recall: 0.647, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5941, root_relative_squared_error: 1.1969, scimark_benchmark: 1662.8049, usercpu_time_millis: 630, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6182, f_measure: 0.6123, kappa: 0.2244, kb_relative_information_score: 131.1641, mean_absolute_error: 0.4339, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6202, predictive_accuracy: 0.611, prior_entropy: 0.9896, recall: 0.611, relative_absolute_error: 0.8804, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5112, root_relative_squared_error: 1.0298, scimark_benchmark: 1908.2191, usercpu_time_millis: 8093.75, usercpu_time_millis_training: 8093.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.6327, kappa: 0.2565, kb_relative_information_score: 208.823, mean_absolute_error: 0.3927, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6338, predictive_accuracy: 0.632, prior_entropy: 0.9896, recall: 0.632, relative_absolute_error: 0.7968, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.01, scimark_benchmark: 1908.2191, usercpu_time_millis: 9781.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 9765.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6287, f_measure: 0.6352, kappa: 0.2585, kb_relative_information_score: 256.663, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6347, predictive_accuracy: 0.636, prior_entropy: 0.9896, recall: 0.636, relative_absolute_error: 0.7386, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6033, root_relative_squared_error: 1.2154, scimark_benchmark: 1827.4462, usercpu_time_millis: 984.375, usercpu_time_millis_testing: 156.25, usercpu_time_millis_training: 828.125,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.6361, kappa: 0.2659, kb_relative_information_score: 254.621, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.639, predictive_accuracy: 0.635, prior_entropy: 0.9896, recall: 0.635, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6042, root_relative_squared_error: 1.2171, scimark_benchmark: 1618.1738, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, f_measure: 0.6442, kappa: 0.2766, kb_relative_information_score: 188.0147, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6437, predictive_accuracy: 0.645, prior_entropy: 0.9896, recall: 0.645, relative_absolute_error: 0.8259, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.939, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.5303, kappa: 0.0477, kb_relative_information_score: 40.1119, mean_absolute_error: 0.4701, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.5307, predictive_accuracy: 0.53, prior_entropy: 0.9896, recall: 0.53, relative_absolute_error: 0.9538, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6848, root_relative_squared_error: 1.3796, scimark_benchmark: 1744.8652, usercpu_time_millis: 281.25, usercpu_time_millis_testing: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.8948, kappa: 0.7864, kb_relative_information_score: 696.941, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8949, predictive_accuracy: 0.895, prior_entropy: 0.9896, recall: 0.895, relative_absolute_error: 0.3229, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.5706, scimark_benchmark: 1744.8652, usercpu_time_millis: 1171.875, usercpu_time_millis_training: 1171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.8461, kappa: 0.6881, kb_relative_information_score: 601.9899, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8464, predictive_accuracy: 0.846, prior_entropy: 0.9896, recall: 0.846, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7338, scimark_benchmark: 1744.8652, usercpu_time_millis: 187.5, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.8443, kappa: 0.6851, kb_relative_information_score: 609.4245, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8455, predictive_accuracy: 0.844, prior_entropy: 0.9896, recall: 0.844, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7134, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8604, kappa: 0.7161, kb_relative_information_score: 389.6035, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8612, predictive_accuracy: 0.861, prior_entropy: 0.9896, recall: 0.861, relative_absolute_error: 0.6621, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7265, scimark_benchmark: 1744.8652, usercpu_time_millis: 406.25, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7037, f_measure: 0.688, kappa: 0.3648, kb_relative_information_score: 198.7923, mean_absolute_error: 0.4053, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6882, predictive_accuracy: 0.69, prior_entropy: 0.9896, recall: 0.69, relative_absolute_error: 0.8225, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9475, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.8398, kappa: 0.6745, kb_relative_information_score: 664.0967, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8397, predictive_accuracy: 0.84, prior_entropy: 0.9896, recall: 0.84, relative_absolute_error: 0.3379, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7821, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 46.875,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.6361, kappa: 0.2659, kb_relative_information_score: 254.621, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.639, predictive_accuracy: 0.635, prior_entropy: 0.9896, recall: 0.635, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6042, root_relative_squared_error: 1.2171, scimark_benchmark: 1744.8652, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6183, f_measure: 0.6054, kappa: 0.2107, kb_relative_information_score: 127.3124, mean_absolute_error: 0.4355, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6133, predictive_accuracy: 0.604, prior_entropy: 0.9896, recall: 0.604, relative_absolute_error: 0.8837, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5108, root_relative_squared_error: 1.029, scimark_benchmark: 1744.8652, usercpu_time_millis: 703.125, usercpu_time_millis_training: 703.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, f_measure: 0.6442, kappa: 0.2766, kb_relative_information_score: 188.0147, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6437, predictive_accuracy: 0.645, prior_entropy: 0.9896, recall: 0.645, relative_absolute_error: 0.8259, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.939, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.5303, kappa: 0.0477, kb_relative_information_score: 40.1119, mean_absolute_error: 0.4701, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.5307, predictive_accuracy: 0.53, prior_entropy: 0.9896, recall: 0.53, relative_absolute_error: 0.9538, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6848, root_relative_squared_error: 1.3796, scimark_benchmark: 1744.8652, usercpu_time_millis: 265.625, usercpu_time_millis_testing: 265.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.8443, kappa: 0.6851, kb_relative_information_score: 609.4245, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8455, predictive_accuracy: 0.844, prior_entropy: 0.9896, recall: 0.844, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7134, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, f_measure: 0.6442, kappa: 0.2766, kb_relative_information_score: 188.0147, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6437, predictive_accuracy: 0.645, prior_entropy: 0.9896, recall: 0.645, relative_absolute_error: 0.8259, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.939, scimark_benchmark: 1327.5254, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.8948, kappa: 0.7864, kb_relative_information_score: 696.941, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8949, predictive_accuracy: 0.895, prior_entropy: 0.9896, recall: 0.895, relative_absolute_error: 0.3229, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.5706, scimark_benchmark: 1788.6668, usercpu_time_millis: 1234.375, usercpu_time_millis_training: 1234.375,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6334, f_measure: 0.6416, kappa: 0.2702, kb_relative_information_score: 275.0411, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.642, predictive_accuracy: 0.645, prior_entropy: 0.9896, recall: 0.645, relative_absolute_error: 0.7204, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5958, root_relative_squared_error: 1.2003, 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: 0.6216, f_measure: 0.6291, kappa: 0.2452, kb_relative_information_score: 246.4529, mean_absolute_error: 0.369, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6286, predictive_accuracy: 0.631, prior_entropy: 0.9896, recall: 0.631, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6075, root_relative_squared_error: 1.2238, scimark_benchmark: 957.5304, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.8459, kappa: 0.687, kb_relative_information_score: 607.0808, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8458, predictive_accuracy: 0.846, prior_entropy: 0.9896, recall: 0.846, relative_absolute_error: 0.4162, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7313, scimark_benchmark: 899.7994, usercpu_time_millis: 520, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9012, kappa: 0.8, kb_relative_information_score: 701.2067, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.902, predictive_accuracy: 0.901, prior_entropy: 0.9896, recall: 0.901, relative_absolute_error: 0.3167, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.5512, scimark_benchmark: 1447.2612, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8705, kappa: 0.7407, kb_relative_information_score: 733.8966, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8799, predictive_accuracy: 0.87, prior_entropy: 0.9896, recall: 0.87, relative_absolute_error: 0.2646, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.304, root_relative_squared_error: 0.6125, scimark_benchmark: 1840.6094, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5446, f_measure: 0.499, kappa: 0.0661, kb_relative_information_score: 50.9087, mean_absolute_error: 0.4645, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.5484, predictive_accuracy: 0.513, prior_entropy: 0.9896, recall: 0.513, relative_absolute_error: 0.9426, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.1952, scimark_benchmark: 1840.6094, usercpu_time_millis: 437.5, usercpu_time_millis_testing: 437.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, f_measure: 0.6203, kappa: 0.2364, kb_relative_information_score: 102.9095, mean_absolute_error: 0.4476, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6249, predictive_accuracy: 0.619, prior_entropy: 0.9896, recall: 0.619, relative_absolute_error: 0.9083, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9745, scimark_benchmark: 1873.1108, usercpu_time_millis: 656.25, usercpu_time_millis_testing: 640.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.8879, kappa: 0.7725, kb_relative_information_score: 718.5659, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8879, predictive_accuracy: 0.888, prior_entropy: 0.9896, recall: 0.888, relative_absolute_error: 0.2901, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.5635, scimark_benchmark: 1873.1108, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6008, f_measure: 0.588, kappa: 0.1625, kb_relative_information_score: 87.0606, mean_absolute_error: 0.4526, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.5874, predictive_accuracy: 0.589, prior_entropy: 0.9896, recall: 0.589, relative_absolute_error: 0.9184, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5113, root_relative_squared_error: 1.0301, scimark_benchmark: 1873.1108, usercpu_time_millis: 562.5, usercpu_time_millis_testing: 562.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8959, kappa: 0.7887, kb_relative_information_score: 787.588, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8959, predictive_accuracy: 0.896, prior_entropy: 0.9896, recall: 0.896, relative_absolute_error: 0.211, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6386, f_measure: 0.6456, kappa: 0.2789, kb_relative_information_score: 279.1252, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6451, predictive_accuracy: 0.647, prior_entropy: 0.9896, recall: 0.647, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5941, root_relative_squared_error: 1.1969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7013, f_measure: 0.7072, kappa: 0.4046, kb_relative_information_score: 403.6884, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.7069, predictive_accuracy: 0.708, prior_entropy: 0.9896, recall: 0.708, relative_absolute_error: 0.5925, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5404, root_relative_squared_error: 1.0886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6427, f_measure: 0.6491, kappa: 0.2866, kb_relative_information_score: 285.2512, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6487, predictive_accuracy: 0.65, prior_entropy: 0.9896, recall: 0.65, relative_absolute_error: 0.7102, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1918, scimark_benchmark: 1779.392, usercpu_time_millis: 46.8003, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.6361, kappa: 0.2659, kb_relative_information_score: 254.621, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.639, predictive_accuracy: 0.635, prior_entropy: 0.9896, recall: 0.635, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6042, root_relative_squared_error: 1.2171, scimark_benchmark: 1779.392, usercpu_time_millis: 93.6006, usercpu_time_millis_training: 93.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.8573, kappa: 0.7113, kb_relative_information_score: 641.6213, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8584, predictive_accuracy: 0.857, prior_entropy: 0.9896, recall: 0.857, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.6959, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.8928, kappa: 0.7821, kb_relative_information_score: 781.4619, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.893, predictive_accuracy: 0.893, prior_entropy: 0.9896, recall: 0.893, relative_absolute_error: 0.2171, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.8434, kappa: 0.6833, kb_relative_information_score: 608.3558, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8448, predictive_accuracy: 0.843, prior_entropy: 0.9896, recall: 0.843, relative_absolute_error: 0.4118, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7163, 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: 0.7094, f_measure: 0.6871, kappa: 0.3638, kb_relative_information_score: 207.0019, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6868, predictive_accuracy: 0.688, prior_entropy: 0.9896, recall: 0.688, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9465, 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: 0.7037, f_measure: 0.688, kappa: 0.3648, kb_relative_information_score: 198.7923, mean_absolute_error: 0.4053, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6882, predictive_accuracy: 0.69, prior_entropy: 0.9896, recall: 0.69, relative_absolute_error: 0.8225, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9475, scimark_benchmark: 1732.2066, usercpu_time_millis: 46.8003, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8634, kappa: 0.7239, kb_relative_information_score: 671.6156, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8652, predictive_accuracy: 0.863, prior_entropy: 0.9896, recall: 0.863, relative_absolute_error: 0.3405, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.6928, 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: 0.8296, f_measure: 0.8327, kappa: 0.6599, kb_relative_information_score: 649.2233, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8327, predictive_accuracy: 0.833, prior_entropy: 0.9896, recall: 0.833, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8023, scimark_benchmark: 1838.8826, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,

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