OpenML
Supervised Classification on car

Supervised Classification on car

Task 3854 Supervised Classification car 561 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: 0.9999, f_measure: 0.993, kappa: 0.9834, kb_relative_information_score: 1160.5831, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.8813, recall: 0.9931, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4649, scimark_benchmark: 1873.1108, usercpu_time_millis: 125, usercpu_time_millis_testing: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.993, kappa: 0.9834, kb_relative_information_score: 1160.5831, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.8813, recall: 0.9931, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4649, scimark_benchmark: 1873.1108, usercpu_time_millis: 187.5, usercpu_time_millis_testing: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9533, kappa: 0.8894, kb_relative_information_score: 1520.5048, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9538, predictive_accuracy: 0.9531, prior_entropy: 0.8813, recall: 0.9531, relative_absolute_error: 0.1116, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.4726, scimark_benchmark: 1870.7932, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9533, kappa: 0.8894, kb_relative_information_score: 1520.5048, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9538, predictive_accuracy: 0.9531, prior_entropy: 0.8813, recall: 0.9531, relative_absolute_error: 0.1116, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.4726, scimark_benchmark: 1870.7932, usercpu_time_millis: 46.8003, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9358, kappa: 0.8472, kb_relative_information_score: 1412.3422, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9359, predictive_accuracy: 0.9358, prior_entropy: 0.8813, recall: 0.9358, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.455, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9358, kappa: 0.8472, kb_relative_information_score: 1412.3422, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9359, predictive_accuracy: 0.9358, prior_entropy: 0.8813, recall: 0.9358, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.455, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9402, kappa: 0.8573, kb_relative_information_score: 1113.4729, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9402, predictive_accuracy: 0.9404, prior_entropy: 0.8813, recall: 0.9404, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.542, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9402, kappa: 0.8573, kb_relative_information_score: 1113.4729, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9402, predictive_accuracy: 0.9404, prior_entropy: 0.8813, recall: 0.9404, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.542, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9942, kappa: 0.9863, kb_relative_information_score: 1701.897, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9943, predictive_accuracy: 0.9942, prior_entropy: 0.8813, recall: 0.9942, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.0761, root_relative_squared_error: 0.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9402, kappa: 0.8573, kb_relative_information_score: 1113.4729, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9402, predictive_accuracy: 0.9404, prior_entropy: 0.8813, recall: 0.9404, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.542, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9402, kappa: 0.8573, kb_relative_information_score: 1113.4729, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9402, predictive_accuracy: 0.9404, prior_entropy: 0.8813, recall: 0.9404, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.542, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9942, kappa: 0.9862, kb_relative_information_score: 1701.897, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.8813, recall: 0.9942, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.0761, root_relative_squared_error: 0.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.9336, kappa: 0.838, kb_relative_information_score: 1443.8603, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9398, predictive_accuracy: 0.9358, prior_entropy: 0.8813, recall: 0.9358, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.5532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.9336, kappa: 0.838, kb_relative_information_score: 1443.8603, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9398, predictive_accuracy: 0.9358, prior_entropy: 0.8813, recall: 0.9358, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.5532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.9311, kappa: 0.8373, kb_relative_information_score: 1420.8669, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9323, predictive_accuracy: 0.9306, prior_entropy: 0.8813, recall: 0.9306, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.5752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9402, kappa: 0.8573, kb_relative_information_score: 1113.4729, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9402, predictive_accuracy: 0.9404, prior_entropy: 0.8813, recall: 0.9404, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.542, scimark_benchmark: 1887.4343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9471, kappa: 0.8751, kb_relative_information_score: 1460.6033, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9481, predictive_accuracy: 0.9468, prior_entropy: 0.8813, recall: 0.9468, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4534, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9471, kappa: 0.8751, kb_relative_information_score: 1460.6033, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9481, predictive_accuracy: 0.9468, prior_entropy: 0.8813, recall: 0.9468, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4534, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9776, kappa: 0.9469, kb_relative_information_score: 1380.7215, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9781, predictive_accuracy: 0.9774, prior_entropy: 0.8813, recall: 0.9774, relative_absolute_error: 0.2344, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3586, scimark_benchmark: 1806.5905, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9776, kappa: 0.9469, kb_relative_information_score: 1380.7215, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9781, predictive_accuracy: 0.9774, prior_entropy: 0.8813, recall: 0.9774, relative_absolute_error: 0.2344, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3586, scimark_benchmark: 1806.5905, usercpu_time_millis: 93.6006, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.993, kappa: 0.9834, kb_relative_information_score: 1160.5831, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.8813, recall: 0.9931, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4649, scimark_benchmark: 1806.5905, usercpu_time_millis: 78.0005, usercpu_time_millis_testing: 78.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.993, kappa: 0.9834, kb_relative_information_score: 1160.5831, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.8813, recall: 0.9931, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4649, scimark_benchmark: 1806.5905, usercpu_time_millis: 93.6006, usercpu_time_millis_testing: 93.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9402, kappa: 0.8573, kb_relative_information_score: 1113.4729, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9402, predictive_accuracy: 0.9404, prior_entropy: 0.8813, recall: 0.9404, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.542, scimark_benchmark: 1877.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9402, kappa: 0.8573, kb_relative_information_score: 1113.4729, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9402, predictive_accuracy: 0.9404, prior_entropy: 0.8813, recall: 0.9404, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.542, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.5768, kb_relative_information_score: -0.2113, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 0.8813, recall: 0.7002, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.4582, root_relative_squared_error: 1, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.9515, kappa: 0.8864, kb_relative_information_score: 1510.2856, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9545, predictive_accuracy: 0.9508, prior_entropy: 0.8813, recall: 0.9508, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.4841, usercpu_time_millis: 88.215, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 87.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.9434, kappa: 0.8668, kb_relative_information_score: 1474.5181, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9454, predictive_accuracy: 0.9427, prior_entropy: 0.8813, recall: 0.9427, relative_absolute_error: 0.1364, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.5224, usercpu_time_millis: 3.504, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 3.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9669, kappa: 0.9223, kb_relative_information_score: 1579.2657, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9693, predictive_accuracy: 0.9664, prior_entropy: 0.8813, recall: 0.9664, relative_absolute_error: 0.0799, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.3999, usercpu_time_millis: 0.291, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9954, kappa: 0.989, kb_relative_information_score: 1707.0066, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 0.8813, recall: 0.9954, relative_absolute_error: 0.011, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.068, root_relative_squared_error: 0.1485, usercpu_time_millis: 55.829, usercpu_time_millis_testing: 10.902, usercpu_time_millis_training: 44.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9787, kappa: 0.9495, kb_relative_information_score: 1632.9169, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.979, predictive_accuracy: 0.9786, prior_entropy: 0.8813, recall: 0.9786, relative_absolute_error: 0.051, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3194, usercpu_time_millis: 6.069, usercpu_time_millis_testing: 0.425, usercpu_time_millis_training: 5.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.989, kappa: 0.974, kb_relative_information_score: 1678.9036, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9892, predictive_accuracy: 0.989, prior_entropy: 0.8813, recall: 0.989, relative_absolute_error: 0.0262, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.2289, usercpu_time_millis: 5.03, usercpu_time_millis_testing: 0.503, usercpu_time_millis_training: 4.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.9516, kappa: 0.8851, kb_relative_information_score: 1512.8404, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9519, predictive_accuracy: 0.9514, prior_entropy: 0.8813, recall: 0.9514, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.4812, usercpu_time_millis: 9.601, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 9.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9902, kappa: 0.9768, kb_relative_information_score: 1684.0133, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9904, predictive_accuracy: 0.9902, prior_entropy: 0.8813, recall: 0.9902, relative_absolute_error: 0.0234, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.2165, usercpu_time_millis: 8.195, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 7.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.9527, kappa: 0.8878, kb_relative_information_score: 1517.95, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.953, predictive_accuracy: 0.9525, prior_entropy: 0.8813, recall: 0.9525, relative_absolute_error: 0.113, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4755, usercpu_time_millis: 1.612, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 1.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9787, kappa: 0.9494, kb_relative_information_score: 1632.9169, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9789, predictive_accuracy: 0.9786, prior_entropy: 0.8813, recall: 0.9786, relative_absolute_error: 0.051, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3194, usercpu_time_millis: 2.391, usercpu_time_millis_testing: 0.806, usercpu_time_millis_training: 1.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6741, f_measure: 0.717, kappa: 0.3375, kb_relative_information_score: 460.2549, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.7227, predictive_accuracy: 0.713, prior_entropy: 0.8813, recall: 0.713, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.1694, usercpu_time_millis: 1.741, usercpu_time_millis_testing: 0.627, usercpu_time_millis_training: 1.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9792, kappa: 0.9506, kb_relative_information_score: 1635.4717, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9793, predictive_accuracy: 0.9792, prior_entropy: 0.8813, recall: 0.9792, relative_absolute_error: 0.0496, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.315, usercpu_time_millis: 1.936, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 1.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.9402, kappa: 0.8573, kb_relative_information_score: 1464.2988, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9402, predictive_accuracy: 0.9404, prior_entropy: 0.8813, recall: 0.9404, relative_absolute_error: 0.142, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.5329, usercpu_time_millis: 1.023, usercpu_time_millis_testing: 0.893, usercpu_time_millis_training: 0.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.9516, kappa: 0.8851, kb_relative_information_score: 1512.8404, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9519, predictive_accuracy: 0.9514, prior_entropy: 0.8813, recall: 0.9514, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.4812, usercpu_time_millis: 0.865, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.934, kappa: 0.8445, kb_relative_information_score: 1433.641, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9355, predictive_accuracy: 0.9334, prior_entropy: 0.8813, recall: 0.9334, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.258, root_relative_squared_error: 0.5631, usercpu_time_millis: 7.08, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 7.002,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9771, kappa: 0.9461, kb_relative_information_score: 1625.2524, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9785, predictive_accuracy: 0.9769, prior_entropy: 0.8813, recall: 0.9769, relative_absolute_error: 0.0551, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.3321, usercpu_time_millis: 1.983, usercpu_time_millis_testing: 0.342, usercpu_time_millis_training: 1.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.9367, kappa: 0.8504, kb_relative_information_score: 1446.4151, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9376, predictive_accuracy: 0.9363, prior_entropy: 0.8813, recall: 0.9363, relative_absolute_error: 0.1516, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.5507, usercpu_time_millis: 0.866, usercpu_time_millis_testing: 0.842, usercpu_time_millis_training: 0.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.9543, kappa: 0.8927, kb_relative_information_score: 1523.0597, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9566, predictive_accuracy: 0.9537, prior_entropy: 0.8813, recall: 0.9537, relative_absolute_error: 0.1103, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.4696, usercpu_time_millis: 3.404, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 3.17,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.9471, kappa: 0.8751, kb_relative_information_score: 1492.4018, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9481, predictive_accuracy: 0.9468, prior_entropy: 0.8813, recall: 0.9468, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.5036, usercpu_time_millis: 2.603, usercpu_time_millis_testing: 0.991, usercpu_time_millis_training: 1.612,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9731, kappa: 0.9366, kb_relative_information_score: 1607.3687, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9745, predictive_accuracy: 0.9728, prior_entropy: 0.8813, recall: 0.9728, relative_absolute_error: 0.0648, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.36, usercpu_time_millis: 138.801, usercpu_time_millis_testing: 18.301, usercpu_time_millis_training: 120.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.88, kappa: 0.7125, kb_relative_information_score: 1201.1525, mean_absolute_error: 0.1192, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.8796, predictive_accuracy: 0.8808, prior_entropy: 0.8813, recall: 0.8808, relative_absolute_error: 0.2839, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.7536, usercpu_time_millis: 2.924, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 2.822,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9665, kappa: 0.9206, kb_relative_information_score: 1579.2657, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9668, predictive_accuracy: 0.9664, prior_entropy: 0.8813, recall: 0.9664, relative_absolute_error: 0.0799, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.3999, usercpu_time_millis: 2.075, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 1.827,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9838, kappa: 0.9617, kb_relative_information_score: 1655.9102, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.984, predictive_accuracy: 0.9838, prior_entropy: 0.8813, recall: 0.9838, relative_absolute_error: 0.0386, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1273, root_relative_squared_error: 0.2778, usercpu_time_millis: 9.274, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 8.858,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9579, kappa: 0.9002, kb_relative_information_score: 1220.5719, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9583, predictive_accuracy: 0.9578, prior_entropy: 0.8813, recall: 0.9578, relative_absolute_error: 0.3237, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.46, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9634, kappa: 0.9141, kb_relative_information_score: 1296.6098, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9657, predictive_accuracy: 0.963, prior_entropy: 0.8813, recall: 0.963, relative_absolute_error: 0.282, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.426, scimark_benchmark: 851.2074, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9776, kappa: 0.9469, kb_relative_information_score: 1380.7215, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9781, predictive_accuracy: 0.9774, prior_entropy: 0.8813, recall: 0.9774, relative_absolute_error: 0.2344, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3586, scimark_benchmark: 947.1781, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9634, kappa: 0.9141, kb_relative_information_score: 1296.6098, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9657, predictive_accuracy: 0.963, prior_entropy: 0.8813, recall: 0.963, relative_absolute_error: 0.282, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.426, scimark_benchmark: 819.5729, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9691, kappa: 0.9275, kb_relative_information_score: 1589.485, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9712, predictive_accuracy: 0.9688, prior_entropy: 0.8813, recall: 0.9688, relative_absolute_error: 0.0744, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3858, scimark_benchmark: 926.5462, usercpu_time_millis: 330, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9691, kappa: 0.9275, kb_relative_information_score: 1589.485, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9712, predictive_accuracy: 0.9688, prior_entropy: 0.8813, recall: 0.9688, relative_absolute_error: 0.0744, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3858, scimark_benchmark: 934.5964, usercpu_time_millis: 390, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9816, kappa: 0.9562, kb_relative_information_score: 1214.8071, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9818, predictive_accuracy: 0.9815, prior_entropy: 0.8813, recall: 0.9815, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.219, root_relative_squared_error: 0.478, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9609, kappa: 0.9076, kb_relative_information_score: 1441.5184, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9617, predictive_accuracy: 0.9606, prior_entropy: 0.8813, recall: 0.9606, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3762, scimark_benchmark: 903.2737, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9925, kappa: 0.9821, kb_relative_information_score: 1573.8307, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 0.8813, recall: 0.9925, relative_absolute_error: 0.1069, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.2344, scimark_benchmark: 931.7096, usercpu_time_millis: 41110, usercpu_time_millis_testing: 720, usercpu_time_millis_training: 40390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9816, kappa: 0.9562, kb_relative_information_score: 1214.8071, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9818, predictive_accuracy: 0.9815, prior_entropy: 0.8813, recall: 0.9815, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.219, root_relative_squared_error: 0.478, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9648, kappa: 0.9166, kb_relative_information_score: 1340.4543, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9652, predictive_accuracy: 0.9647, prior_entropy: 0.8813, recall: 0.9647, relative_absolute_error: 0.2543, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.4168, scimark_benchmark: 941.3057, usercpu_time_millis: 490, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9776, kappa: 0.9469, kb_relative_information_score: 1380.7215, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9781, predictive_accuracy: 0.9774, prior_entropy: 0.8813, recall: 0.9774, relative_absolute_error: 0.2344, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3586, scimark_benchmark: 1051.249, usercpu_time_millis: 230, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.996, kappa: 0.9904, kb_relative_information_score: 1621.5324, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.996, predictive_accuracy: 0.9959, prior_entropy: 0.8813, recall: 0.9959, relative_absolute_error: 0.0761, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.1727, scimark_benchmark: 901.6243, usercpu_time_millis: 10230, usercpu_time_millis_testing: 3450, usercpu_time_millis_training: 6780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9965, kappa: 0.9918, kb_relative_information_score: 1620.4096, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9966, predictive_accuracy: 0.9965, prior_entropy: 0.8813, recall: 0.9965, relative_absolute_error: 0.0761, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.0797, root_relative_squared_error: 0.1739, scimark_benchmark: 938.988, usercpu_time_millis: 4020, usercpu_time_millis_testing: 700, usercpu_time_millis_training: 3320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9965, kappa: 0.9917, kb_relative_information_score: 1621.0005, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 0.8813, recall: 0.9965, relative_absolute_error: 0.076, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.0797, root_relative_squared_error: 0.1739, scimark_benchmark: 930.2337, usercpu_time_millis: 1990, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 1600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9948, kappa: 0.9876, kb_relative_information_score: 1621.1448, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9949, predictive_accuracy: 0.9948, prior_entropy: 0.8813, recall: 0.9948, relative_absolute_error: 0.0742, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.1815, scimark_benchmark: 920.3788, usercpu_time_millis: 1100, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9936, kappa: 0.9849, kb_relative_information_score: 1605.1846, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9937, predictive_accuracy: 0.9936, prior_entropy: 0.8813, recall: 0.9936, relative_absolute_error: 0.0841, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.2062, scimark_benchmark: 899.1108, usercpu_time_millis: 540, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.948, kappa: 0.8781, kb_relative_information_score: 1367.6058, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9507, predictive_accuracy: 0.9473, prior_entropy: 0.8813, recall: 0.9473, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.434, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.948, kappa: 0.8781, kb_relative_information_score: 1367.6058, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9507, predictive_accuracy: 0.9473, prior_entropy: 0.8813, recall: 0.9473, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.434, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.948, kappa: 0.8781, kb_relative_information_score: 1367.6058, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9507, predictive_accuracy: 0.9473, prior_entropy: 0.8813, recall: 0.9473, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.434, scimark_benchmark: 936.7184, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9509, kappa: 0.8851, kb_relative_information_score: 1364.2147, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.954, predictive_accuracy: 0.9502, prior_entropy: 0.8813, recall: 0.9502, relative_absolute_error: 0.2206, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4325, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9327, kappa: 0.8426, kb_relative_information_score: 1295.3046, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9362, predictive_accuracy: 0.9317, prior_entropy: 0.8813, recall: 0.9317, relative_absolute_error: 0.261, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4679, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.6589, kappa: 0.1582, kb_relative_information_score: 126.2692, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.6514, predictive_accuracy: 0.68, prior_entropy: 0.8813, recall: 0.68, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.9017, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9427, kappa: 0.8635, kb_relative_information_score: 1450.4348, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9427, predictive_accuracy: 0.9427, prior_entropy: 0.8813, recall: 0.9427, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.4303, scimark_benchmark: 926.5859, usercpu_time_millis: 260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9146, kappa: 0.8028, kb_relative_information_score: 1307.1008, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9232, predictive_accuracy: 0.9126, prior_entropy: 0.8813, recall: 0.9126, relative_absolute_error: 0.2332, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.5425, scimark_benchmark: 935.6052, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8661, kappa: 0.7018, kb_relative_information_score: 979.0052, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.8938, predictive_accuracy: 0.8611, prior_entropy: 0.8813, recall: 0.8611, relative_absolute_error: 0.4293, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.6682, scimark_benchmark: 938.3115, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8611, kappa: 0.6972, kb_relative_information_score: 840.7806, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9024, predictive_accuracy: 0.8553, prior_entropy: 0.8813, recall: 0.8553, relative_absolute_error: 0.5041, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.7012, scimark_benchmark: 926.5859, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.8611, kappa: 0.6972, kb_relative_information_score: 987.1907, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9024, predictive_accuracy: 0.8553, prior_entropy: 0.8813, recall: 0.8553, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.345, root_relative_squared_error: 0.7529, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: 404.0489, mean_absolute_error: 0.2998, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 0.8813, recall: 0.7002, relative_absolute_error: 0.7139, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.5475, root_relative_squared_error: 1.195, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9471, kappa: 0.8751, kb_relative_information_score: 1460.6033, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9481, predictive_accuracy: 0.9468, prior_entropy: 0.8813, recall: 0.9468, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4534, scimark_benchmark: 942.6192, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs