OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 54817 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.7165, kappa: 0.4369, kb_relative_information_score: 542.0589, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7247, predictive_accuracy: 0.7185, prior_entropy: 1, recall: 0.7185, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8776, scimark_benchmark: 1024.4308, usercpu_time_millis: 54.671, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 54.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.8075, kappa: 0.6154, kb_relative_information_score: 780.4965, mean_absolute_error: 0.3724, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8092, predictive_accuracy: 0.8077, prior_entropy: 1, recall: 0.8077, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8007, scimark_benchmark: 2117.2537, usercpu_time_millis: 190.687, usercpu_time_millis_testing: 1.445, usercpu_time_millis_training: 189.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8584, kappa: 0.7169, kb_relative_information_score: 1123.2576, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8586, predictive_accuracy: 0.8585, prior_entropy: 1, recall: 0.8585, relative_absolute_error: 0.6184, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7071, scimark_benchmark: 1728.8693, usercpu_time_millis: 219.885, usercpu_time_millis_testing: 0.795, usercpu_time_millis_training: 219.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.8152, kappa: 0.6308, kb_relative_information_score: 843.9953, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8165, predictive_accuracy: 0.8154, prior_entropy: 1, recall: 0.8154, relative_absolute_error: 0.72, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.7902, scimark_benchmark: 2093.4237, usercpu_time_millis: 625.342, usercpu_time_millis_testing: 1.444, usercpu_time_millis_training: 623.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.8106, kappa: 0.6215, kb_relative_information_score: 817.8504, mean_absolute_error: 0.3648, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8121, predictive_accuracy: 0.8108, prior_entropy: 1, recall: 0.8108, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.7967, scimark_benchmark: 1738.3274, usercpu_time_millis: 624.789, usercpu_time_millis_testing: 1.721, usercpu_time_millis_training: 623.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.828, kappa: 0.6562, kb_relative_information_score: 912.7587, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8285, predictive_accuracy: 0.8281, prior_entropy: 1, recall: 0.8281, relative_absolute_error: 0.6966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.767, scimark_benchmark: 1730.1903, usercpu_time_millis: 701.302, usercpu_time_millis_testing: 1.908, usercpu_time_millis_training: 699.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8222, kappa: 0.6446, kb_relative_information_score: 877.2684, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.823, predictive_accuracy: 0.8223, prior_entropy: 1, recall: 0.8223, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.7771, scimark_benchmark: 1730.7008, usercpu_time_millis: 712.126, usercpu_time_millis_testing: 1.763, usercpu_time_millis_training: 710.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.8327, kappa: 0.6654, kb_relative_information_score: 1014.2277, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.833, predictive_accuracy: 0.8327, prior_entropy: 1, recall: 0.8327, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.7452, scimark_benchmark: 1972.2288, usercpu_time_millis: 387.008, usercpu_time_millis_testing: 1.066, usercpu_time_millis_training: 385.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8214, kappa: 0.6431, kb_relative_information_score: 887.556, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8223, predictive_accuracy: 0.8215, prior_entropy: 1, recall: 0.8215, relative_absolute_error: 0.7053, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3875, root_relative_squared_error: 0.775, scimark_benchmark: 1728.4686, usercpu_time_millis: 412.179, usercpu_time_millis_testing: 1.093, usercpu_time_millis_training: 411.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.8292, kappa: 0.6585, kb_relative_information_score: 899.8112, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8297, predictive_accuracy: 0.8292, prior_entropy: 1, recall: 0.8292, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3838, root_relative_squared_error: 0.7676, scimark_benchmark: 1719.3061, usercpu_time_millis: 1210.963, usercpu_time_millis_testing: 3.278, usercpu_time_millis_training: 1207.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6744, f_measure: 0.6226, kappa: 0.2454, kb_relative_information_score: 459.2309, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6228, predictive_accuracy: 0.6227, prior_entropy: 1, recall: 0.6227, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9802, scimark_benchmark: 1892.4053, usercpu_time_millis: 1.918, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 1.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1735.1968, usercpu_time_millis: 2.804, usercpu_time_millis_testing: 0.458, usercpu_time_millis_training: 2.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1708.1054, usercpu_time_millis: 2.317, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 1.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1734.798, usercpu_time_millis: 3.167, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 2.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4505, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1736.1564, usercpu_time_millis: 4.301, usercpu_time_millis_testing: 0.893, usercpu_time_millis_training: 3.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.788, f_measure: 0.7128, kappa: 0.4269, kb_relative_information_score: 346.6521, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7156, predictive_accuracy: 0.7135, prior_entropy: 1, recall: 0.7135, relative_absolute_error: 0.8943, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9129, scimark_benchmark: 1734.3333, usercpu_time_millis: 4.012, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 3.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8669, kappa: 0.7338, kb_relative_information_score: 1342.8557, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.867, predictive_accuracy: 0.8669, prior_entropy: 1, recall: 0.8669, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.33, root_relative_squared_error: 0.66, scimark_benchmark: 1732.8983, usercpu_time_millis: 618.828, usercpu_time_millis_testing: 1.45, usercpu_time_millis_training: 617.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.6884, kappa: 0.3792, kb_relative_information_score: 413.6889, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6926, predictive_accuracy: 0.6896, prior_entropy: 1, recall: 0.6896, relative_absolute_error: 0.8679, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9075, scimark_benchmark: 1732.6159, usercpu_time_millis: 8.519, usercpu_time_millis_testing: 0.503, usercpu_time_millis_training: 8.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.7186, kappa: 0.4392, kb_relative_information_score: 345.5601, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7229, predictive_accuracy: 0.7196, prior_entropy: 1, recall: 0.7196, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9118, scimark_benchmark: 1727.6743, usercpu_time_millis: 18.916, usercpu_time_millis_testing: 0.573, usercpu_time_millis_training: 18.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.6942, kappa: 0.3923, kb_relative_information_score: 376.792, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7014, predictive_accuracy: 0.6962, prior_entropy: 1, recall: 0.6962, relative_absolute_error: 0.8824, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9121, scimark_benchmark: 1732.3054, usercpu_time_millis: 38.644, usercpu_time_millis_testing: 0.885, usercpu_time_millis_training: 37.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7754, f_measure: 0.7092, kappa: 0.4223, kb_relative_information_score: 516.6603, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.717, predictive_accuracy: 0.7112, prior_entropy: 1, recall: 0.7112, relative_absolute_error: 0.8279, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4439, root_relative_squared_error: 0.8878, scimark_benchmark: 1723.5031, usercpu_time_millis: 36.422, usercpu_time_millis_testing: 0.476, usercpu_time_millis_training: 35.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.8492, kappa: 0.6985, kb_relative_information_score: 1280.9621, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8493, predictive_accuracy: 0.8492, prior_entropy: 1, recall: 0.8492, relative_absolute_error: 0.5504, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.685, scimark_benchmark: 1741.1378, usercpu_time_millis: 663.124, usercpu_time_millis_testing: 1.269, usercpu_time_millis_training: 661.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.6834, kappa: 0.37, kb_relative_information_score: 353.4029, mean_absolute_error: 0.445, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6888, predictive_accuracy: 0.685, prior_entropy: 1, recall: 0.685, relative_absolute_error: 0.8899, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9202, scimark_benchmark: 1732.9618, usercpu_time_millis: 61.3, usercpu_time_millis_testing: 0.979, usercpu_time_millis_training: 60.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.8176, kappa: 0.6354, kb_relative_information_score: 1210.7656, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.818, predictive_accuracy: 0.8177, prior_entropy: 1, recall: 0.8177, relative_absolute_error: 0.5691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7272, scimark_benchmark: 1736.9559, usercpu_time_millis: 678.816, usercpu_time_millis_testing: 1.181, usercpu_time_millis_training: 677.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.7194, kappa: 0.4423, kb_relative_information_score: 529.8653, mean_absolute_error: 0.4131, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7268, predictive_accuracy: 0.7212, prior_entropy: 1, recall: 0.7212, relative_absolute_error: 0.8262, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4396, root_relative_squared_error: 0.8792, scimark_benchmark: 1734.3333, usercpu_time_millis: 79.437, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 78.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.6765, kappa: 0.3569, kb_relative_information_score: 338.5916, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.683, predictive_accuracy: 0.6785, prior_entropy: 1, recall: 0.6785, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9204, scimark_benchmark: 1737.1272, usercpu_time_millis: 134.644, usercpu_time_millis_testing: 1.036, usercpu_time_millis_training: 133.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8638, kappa: 0.7277, kb_relative_information_score: 1241.3253, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8639, predictive_accuracy: 0.8638, prior_entropy: 1, recall: 0.8638, relative_absolute_error: 0.5703, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.6818, scimark_benchmark: 1739.2591, usercpu_time_millis: 765.347, usercpu_time_millis_testing: 1.732, usercpu_time_millis_training: 763.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.733, kappa: 0.4692, kb_relative_information_score: 571.0907, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7403, predictive_accuracy: 0.7346, prior_entropy: 1, recall: 0.7346, relative_absolute_error: 0.813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.8684, scimark_benchmark: 1734.6706, usercpu_time_millis: 311.822, usercpu_time_millis_testing: 0.841, usercpu_time_millis_training: 310.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.6536, kappa: 0.3085, kb_relative_information_score: 210.9964, mean_absolute_error: 0.4689, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6554, predictive_accuracy: 0.6542, prior_entropy: 1, recall: 0.6542, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9471, scimark_benchmark: 1705.5542, usercpu_time_millis: 67.402, usercpu_time_millis_testing: 2.718, usercpu_time_millis_training: 64.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.6489, kappa: 0.3, kb_relative_information_score: 227.5879, mean_absolute_error: 0.4662, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6519, predictive_accuracy: 0.65, prior_entropy: 1, recall: 0.65, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4721, root_relative_squared_error: 0.9441, scimark_benchmark: 1713.9419, usercpu_time_millis: 92.614, usercpu_time_millis_testing: 2.208, usercpu_time_millis_training: 90.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, f_measure: 0.6729, kappa: 0.3523, kb_relative_information_score: 366.5713, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6835, predictive_accuracy: 0.6762, prior_entropy: 1, recall: 0.6762, relative_absolute_error: 0.8845, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4591, root_relative_squared_error: 0.9181, scimark_benchmark: 1714.3392, usercpu_time_millis: 105.63, usercpu_time_millis_testing: 0.452, usercpu_time_millis_training: 105.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8315, kappa: 0.6631, kb_relative_information_score: 1056.1346, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8321, predictive_accuracy: 0.8315, prior_entropy: 1, recall: 0.8315, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7406, scimark_benchmark: 1965.185, usercpu_time_millis: 126.166, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 125.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.8076, kappa: 0.6154, kb_relative_information_score: 835.083, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8081, predictive_accuracy: 0.8077, prior_entropy: 1, recall: 0.8077, relative_absolute_error: 0.7215, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7926, scimark_benchmark: 1733.7613, usercpu_time_millis: 220.614, usercpu_time_millis_testing: 1.062, usercpu_time_millis_training: 219.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.7086, kappa: 0.4208, kb_relative_information_score: 425.7225, mean_absolute_error: 0.433, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7158, predictive_accuracy: 0.7104, prior_entropy: 1, recall: 0.7104, relative_absolute_error: 0.866, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4495, root_relative_squared_error: 0.899, scimark_benchmark: 1700.9398, usercpu_time_millis: 198.524, usercpu_time_millis_testing: 1.252, usercpu_time_millis_training: 197.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.7609, kappa: 0.5238, kb_relative_information_score: 521.4297, mean_absolute_error: 0.4186, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7665, predictive_accuracy: 0.7619, prior_entropy: 1, recall: 0.7619, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.8651, scimark_benchmark: 1725.7822, usercpu_time_millis: 95.451, usercpu_time_millis_testing: 1.255, usercpu_time_millis_training: 94.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.7321, kappa: 0.4669, kb_relative_information_score: 386.8155, mean_absolute_error: 0.441, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7382, predictive_accuracy: 0.7335, prior_entropy: 1, recall: 0.7335, relative_absolute_error: 0.882, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9007, scimark_benchmark: 1721.4643, usercpu_time_millis: 97.33, usercpu_time_millis_testing: 1.903, usercpu_time_millis_training: 95.427,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.738, kappa: 0.4762, kb_relative_information_score: 773.0847, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7382, predictive_accuracy: 0.7381, prior_entropy: 1, recall: 0.7381, relative_absolute_error: 0.7325, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8367, scimark_benchmark: 1733.2043, usercpu_time_millis: 193.064, usercpu_time_millis_testing: 0.532, usercpu_time_millis_training: 192.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.8176, kappa: 0.6354, kb_relative_information_score: 924.8783, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8184, predictive_accuracy: 0.8177, prior_entropy: 1, recall: 0.8177, relative_absolute_error: 0.6895, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7717, scimark_benchmark: 1732.9626, usercpu_time_millis: 231.883, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 231.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.7481, kappa: 0.4992, kb_relative_information_score: 606.68, mean_absolute_error: 0.4017, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7559, predictive_accuracy: 0.7496, prior_entropy: 1, recall: 0.7496, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8532, scimark_benchmark: 1735.6941, usercpu_time_millis: 389.872, usercpu_time_millis_testing: 1.322, usercpu_time_millis_training: 388.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.7884, kappa: 0.5777, kb_relative_information_score: 727.3059, mean_absolute_error: 0.3813, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7914, predictive_accuracy: 0.7888, prior_entropy: 1, recall: 0.7888, relative_absolute_error: 0.7625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8183, scimark_benchmark: 1728.2039, usercpu_time_millis: 116.923, usercpu_time_millis_testing: 0.74, usercpu_time_millis_training: 116.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.7318, kappa: 0.4662, kb_relative_information_score: 563.5455, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7375, predictive_accuracy: 0.7331, prior_entropy: 1, recall: 0.7331, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8661, scimark_benchmark: 1734.7321, usercpu_time_millis: 42.503, usercpu_time_millis_testing: 0.502, usercpu_time_millis_training: 42.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7301, f_measure: 0.6592, kappa: 0.3208, kb_relative_information_score: 320.9554, mean_absolute_error: 0.4502, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6627, predictive_accuracy: 0.6604, prior_entropy: 1, recall: 0.6604, relative_absolute_error: 0.9004, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9276, scimark_benchmark: 1734.6706, usercpu_time_millis: 16.496, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 16.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.8392, kappa: 0.6785, kb_relative_information_score: 1048.3903, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8395, predictive_accuracy: 0.8392, prior_entropy: 1, recall: 0.8392, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7342, scimark_benchmark: 1760.6876, usercpu_time_millis: 115.305, usercpu_time_millis_testing: 0.456, usercpu_time_millis_training: 114.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.8319, kappa: 0.6638, kb_relative_information_score: 1046.3742, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8323, predictive_accuracy: 0.8319, prior_entropy: 1, recall: 0.8319, relative_absolute_error: 0.6449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.7377, scimark_benchmark: 1735.1935, usercpu_time_millis: 859.657, usercpu_time_millis_testing: 1.31, usercpu_time_millis_training: 858.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.8446, kappa: 0.6892, kb_relative_information_score: 997.3034, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8448, predictive_accuracy: 0.8446, prior_entropy: 1, recall: 0.8446, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7413, scimark_benchmark: 1736.9559, usercpu_time_millis: 476.139, usercpu_time_millis_testing: 1.333, usercpu_time_millis_training: 474.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8427, kappa: 0.6854, kb_relative_information_score: 1273.2822, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8428, predictive_accuracy: 0.8427, prior_entropy: 1, recall: 0.8427, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.6906, scimark_benchmark: 1737.4645, usercpu_time_millis: 928.929, usercpu_time_millis_testing: 1.331, usercpu_time_millis_training: 927.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.8249, kappa: 0.65, kb_relative_information_score: 917.6476, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8256, predictive_accuracy: 0.825, prior_entropy: 1, recall: 0.825, relative_absolute_error: 0.6934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.7696, scimark_benchmark: 1737.4205, usercpu_time_millis: 601.173, usercpu_time_millis_testing: 1.576, usercpu_time_millis_training: 599.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.8315, kappa: 0.6631, kb_relative_information_score: 1061.2865, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8318, predictive_accuracy: 0.8315, prior_entropy: 1, recall: 0.8315, relative_absolute_error: 0.639, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.7346, scimark_benchmark: 1736.621, usercpu_time_millis: 1153.03, usercpu_time_millis_testing: 1.473, usercpu_time_millis_training: 1151.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8411, kappa: 0.6823, kb_relative_information_score: 898.7132, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8417, predictive_accuracy: 0.8412, prior_entropy: 1, recall: 0.8412, relative_absolute_error: 0.7053, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7611, scimark_benchmark: 1842.8117, usercpu_time_millis: 320.731, usercpu_time_millis_testing: 2.607, usercpu_time_millis_training: 318.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.664, f_measure: 0.6027, kappa: 0.2054, kb_relative_information_score: 41.9179, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6027, predictive_accuracy: 0.6027, prior_entropy: 1, recall: 0.6027, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4946, root_relative_squared_error: 0.9892, scimark_benchmark: 1734.3586, usercpu_time_millis: 10.617, usercpu_time_millis_testing: 1.225, usercpu_time_millis_training: 9.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6646, f_measure: 0.6064, kappa: 0.2131, kb_relative_information_score: 66.5402, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6067, predictive_accuracy: 0.6065, prior_entropy: 1, recall: 0.6065, relative_absolute_error: 0.9814, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4917, root_relative_squared_error: 0.9833, scimark_benchmark: 1729.3292, usercpu_time_millis: 11.423, usercpu_time_millis_testing: 1.159, usercpu_time_millis_training: 10.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.67, f_measure: 0.6156, kappa: 0.2315, kb_relative_information_score: 182.0265, mean_absolute_error: 0.4728, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.616, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.9457, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.9649, scimark_benchmark: 1739.2675, usercpu_time_millis: 23.412, usercpu_time_millis_testing: 0.595, usercpu_time_millis_training: 22.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.6146, kappa: 0.2292, kb_relative_information_score: 237.9999, mean_absolute_error: 0.4636, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6146, predictive_accuracy: 0.6146, prior_entropy: 1, recall: 0.6146, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.476, root_relative_squared_error: 0.952, scimark_benchmark: 1845.9795, usercpu_time_millis: 14.284, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 13.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6686, f_measure: 0.6234, kappa: 0.2469, kb_relative_information_score: 78.2042, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6235, predictive_accuracy: 0.6235, prior_entropy: 1, recall: 0.6235, relative_absolute_error: 0.978, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.9805, scimark_benchmark: 1851.9456, usercpu_time_millis: 13.938, usercpu_time_millis_testing: 0.938, usercpu_time_millis_training: 13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.6486, kappa: 0.2977, kb_relative_information_score: 122.2232, mean_absolute_error: 0.4826, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6493, predictive_accuracy: 0.6488, prior_entropy: 1, recall: 0.6488, relative_absolute_error: 0.9652, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4844, root_relative_squared_error: 0.9689, scimark_benchmark: 1958.0394, usercpu_time_millis: 28.783, usercpu_time_millis_testing: 1.307, usercpu_time_millis_training: 27.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7053, f_measure: 0.6351, kappa: 0.2708, kb_relative_information_score: 133.8449, mean_absolute_error: 0.4808, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6358, predictive_accuracy: 0.6354, prior_entropy: 1, recall: 0.6354, relative_absolute_error: 0.9616, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9665, scimark_benchmark: 1857.5664, usercpu_time_millis: 35.468, usercpu_time_millis_testing: 1.659, usercpu_time_millis_training: 33.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7003, f_measure: 0.628, kappa: 0.2569, kb_relative_information_score: 155.143, mean_absolute_error: 0.4774, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6291, predictive_accuracy: 0.6285, prior_entropy: 1, recall: 0.6285, relative_absolute_error: 0.9549, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.481, root_relative_squared_error: 0.962, scimark_benchmark: 1818.6012, usercpu_time_millis: 2.927, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 2.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.6085, kappa: 0.2169, kb_relative_information_score: 76.7393, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6085, predictive_accuracy: 0.6085, prior_entropy: 1, recall: 0.6085, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9805, scimark_benchmark: 1853.454, usercpu_time_millis: 12.336, usercpu_time_millis_testing: 0.974, usercpu_time_millis_training: 11.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, f_measure: 0.6329, kappa: 0.2662, kb_relative_information_score: 119.8954, mean_absolute_error: 0.4829, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6334, predictive_accuracy: 0.6331, prior_entropy: 1, recall: 0.6331, relative_absolute_error: 0.9658, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4848, root_relative_squared_error: 0.9697, scimark_benchmark: 1855.0232, usercpu_time_millis: 23.636, usercpu_time_millis_testing: 1.207, usercpu_time_millis_training: 22.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.6204, kappa: 0.2408, kb_relative_information_score: 135.9984, mean_absolute_error: 0.4804, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6204, predictive_accuracy: 0.6204, prior_entropy: 1, recall: 0.6204, relative_absolute_error: 0.9607, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9663, scimark_benchmark: 1855.0231, usercpu_time_millis: 3.655, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 3.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5708, f_measure: 0.5538, kappa: 0.1077, kb_relative_information_score: 43.9125, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5539, predictive_accuracy: 0.5538, prior_entropy: 1, recall: 0.5538, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9926, scimark_benchmark: 1729.797, usercpu_time_millis: 5.394, usercpu_time_millis_testing: 0.643, usercpu_time_millis_training: 4.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, f_measure: 0.6077, kappa: 0.2154, kb_relative_information_score: 86.7045, mean_absolute_error: 0.4877, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6077, predictive_accuracy: 0.6077, prior_entropy: 1, recall: 0.6077, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4895, root_relative_squared_error: 0.9791, scimark_benchmark: 1925.1346, usercpu_time_millis: 11.364, usercpu_time_millis_testing: 0.785, usercpu_time_millis_training: 10.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, f_measure: 0.6287, kappa: 0.2577, kb_relative_information_score: 148.5191, mean_absolute_error: 0.4785, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6291, predictive_accuracy: 0.6288, prior_entropy: 1, recall: 0.6288, relative_absolute_error: 0.9571, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4814, root_relative_squared_error: 0.9628, scimark_benchmark: 1955.0962, usercpu_time_millis: 20.346, usercpu_time_millis_testing: 1.064, usercpu_time_millis_training: 19.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6763, f_measure: 0.6173, kappa: 0.2346, kb_relative_information_score: 57.3649, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6174, predictive_accuracy: 0.6173, prior_entropy: 1, recall: 0.6173, relative_absolute_error: 0.9841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4926, root_relative_squared_error: 0.9853, scimark_benchmark: 1857.1082, usercpu_time_millis: 27.618, usercpu_time_millis_testing: 2.044, usercpu_time_millis_training: 25.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1857.1082, usercpu_time_millis: 2.518, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 2.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7332, f_measure: 0.6554, kappa: 0.3115, kb_relative_information_score: 169.1527, mean_absolute_error: 0.4755, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6564, predictive_accuracy: 0.6558, prior_entropy: 1, recall: 0.6558, relative_absolute_error: 0.951, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4785, root_relative_squared_error: 0.957, scimark_benchmark: 1855.5999, usercpu_time_millis: 11.426, usercpu_time_millis_testing: 0.7, usercpu_time_millis_training: 10.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6676, f_measure: 0.6087, kappa: 0.2177, kb_relative_information_score: 45.9115, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.609, predictive_accuracy: 0.6088, prior_entropy: 1, recall: 0.6088, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9882, scimark_benchmark: 1734.7312, usercpu_time_millis: 15.689, usercpu_time_millis_testing: 1.354, usercpu_time_millis_training: 14.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6309, kappa: 0.2623, kb_relative_information_score: 116.2445, mean_absolute_error: 0.4834, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6315, predictive_accuracy: 0.6312, prior_entropy: 1, recall: 0.6312, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4855, root_relative_squared_error: 0.9709, scimark_benchmark: 1849.3014, usercpu_time_millis: 23.691, usercpu_time_millis_testing: 1.298, usercpu_time_millis_training: 22.393,

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