Task
Supervised Classification on madelon

Supervised Classification on madelon

Task 145853 Supervised Classification madelon 38804 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.86, kappa: 0.72, kb_relative_information_score: 1239.5063, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.5708, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.6829, scimark_benchmark: 1364.3322, usercpu_time_millis: 150.406, usercpu_time_millis_testing: 0.683, usercpu_time_millis_training: 149.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.7232, kappa: 0.4469, kb_relative_information_score: 695.686, mean_absolute_error: 0.3809, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7243, predictive_accuracy: 0.7235, prior_entropy: 1, recall: 0.7235, relative_absolute_error: 0.7618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.8526, scimark_benchmark: 1364.0414, usercpu_time_millis: 184.493, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 183.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.8249, kappa: 0.65, kb_relative_information_score: 853.2217, mean_absolute_error: 0.3592, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8259, predictive_accuracy: 0.825, prior_entropy: 1, recall: 0.825, relative_absolute_error: 0.7185, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.7821, scimark_benchmark: 1365.2655, usercpu_time_millis: 489.305, usercpu_time_millis_testing: 2.122, usercpu_time_millis_training: 487.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.8253, kappa: 0.6508, kb_relative_information_score: 902.5719, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8259, predictive_accuracy: 0.8254, prior_entropy: 1, recall: 0.8254, relative_absolute_error: 0.6994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.7711, scimark_benchmark: 1372.243, usercpu_time_millis: 743.163, usercpu_time_millis_testing: 2.055, usercpu_time_millis_training: 741.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.8272, kappa: 0.6546, kb_relative_information_score: 982.454, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8278, predictive_accuracy: 0.8273, prior_entropy: 1, recall: 0.8273, relative_absolute_error: 0.6685, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7542, scimark_benchmark: 1371.0101, usercpu_time_millis: 630.18, usercpu_time_millis_testing: 1.027, usercpu_time_millis_training: 629.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.7551, kappa: 0.5123, kb_relative_information_score: 450.7107, mean_absolute_error: 0.4306, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7608, predictive_accuracy: 0.7562, prior_entropy: 1, recall: 0.7562, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8831, scimark_benchmark: 1371.5196, usercpu_time_millis: 184.94, usercpu_time_millis_testing: 3.087, usercpu_time_millis_training: 181.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7748, f_measure: 0.702, kappa: 0.4077, kb_relative_information_score: 345.1188, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.709, predictive_accuracy: 0.7038, prior_entropy: 1, recall: 0.7038, relative_absolute_error: 0.8945, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9148, scimark_benchmark: 1372.5072, usercpu_time_millis: 116.245, usercpu_time_millis_testing: 1.581, usercpu_time_millis_training: 114.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7404, kappa: 0.4838, kb_relative_information_score: 490.3624, mean_absolute_error: 0.423, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7478, predictive_accuracy: 0.7419, prior_entropy: 1, recall: 0.7419, relative_absolute_error: 0.8459, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.877, scimark_benchmark: 1367.2913, usercpu_time_millis: 81.799, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 80.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.79, kappa: 0.58, kb_relative_information_score: 1232.9717, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7901, predictive_accuracy: 0.79, prior_entropy: 1, recall: 0.79, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.7756, scimark_benchmark: 1368.4105, usercpu_time_millis: 3.417, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 3.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, 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: 1365.6032, usercpu_time_millis: 4.787, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 3.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.7766, kappa: 0.5538, kb_relative_information_score: 722.7244, mean_absolute_error: 0.3806, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7786, predictive_accuracy: 0.7769, prior_entropy: 1, recall: 0.7769, relative_absolute_error: 0.7612, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8235, scimark_benchmark: 1365.1478, usercpu_time_millis: 266.474, usercpu_time_millis_testing: 1.09, usercpu_time_millis_training: 265.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.7527, kappa: 0.5077, kb_relative_information_score: 612.5952, mean_absolute_error: 0.4011, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7587, predictive_accuracy: 0.7538, prior_entropy: 1, recall: 0.7538, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8495, scimark_benchmark: 1366.2508, usercpu_time_millis: 266.284, usercpu_time_millis_testing: 1.24, usercpu_time_millis_training: 265.044,
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: 1370.7169, usercpu_time_millis: 6.276, usercpu_time_millis_testing: 0.978, usercpu_time_millis_training: 5.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8168, kappa: 0.6338, kb_relative_information_score: 810.0578, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.818, predictive_accuracy: 0.8169, prior_entropy: 1, recall: 0.8169, relative_absolute_error: 0.7351, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.791, scimark_benchmark: 1370.9539, usercpu_time_millis: 277.189, usercpu_time_millis_testing: 1.267, usercpu_time_millis_training: 275.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.7181, kappa: 0.4377, kb_relative_information_score: 604.2011, mean_absolute_error: 0.3983, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7212, predictive_accuracy: 0.7188, prior_entropy: 1, recall: 0.7188, relative_absolute_error: 0.7966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8661, scimark_benchmark: 1374.3494, usercpu_time_millis: 331.696, usercpu_time_millis_testing: 1.167, usercpu_time_millis_training: 330.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.7236, kappa: 0.45, kb_relative_information_score: 581.0146, mean_absolute_error: 0.4032, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7297, predictive_accuracy: 0.725, prior_entropy: 1, recall: 0.725, relative_absolute_error: 0.8063, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8693, scimark_benchmark: 1372.5295, usercpu_time_millis: 285.56, usercpu_time_millis_testing: 1.21, usercpu_time_millis_training: 284.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7488, f_measure: 0.6822, kappa: 0.3677, kb_relative_information_score: 399.0464, mean_absolute_error: 0.4366, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6877, predictive_accuracy: 0.6838, prior_entropy: 1, recall: 0.6838, relative_absolute_error: 0.8732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9105, scimark_benchmark: 1365.464, usercpu_time_millis: 6.936, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 6.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.8261, kappa: 0.6523, kb_relative_information_score: 924.9823, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8267, predictive_accuracy: 0.8262, prior_entropy: 1, recall: 0.8262, relative_absolute_error: 0.6922, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7623, scimark_benchmark: 1372.9991, usercpu_time_millis: 106.282, usercpu_time_millis_testing: 0.618, usercpu_time_millis_training: 105.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.6196, kappa: 0.2392, kb_relative_information_score: 244.6228, mean_absolute_error: 0.4627, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6197, predictive_accuracy: 0.6196, prior_entropy: 1, recall: 0.6196, relative_absolute_error: 0.9253, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9483, scimark_benchmark: 1377.1172, usercpu_time_millis: 37.667, usercpu_time_millis_testing: 0.661, usercpu_time_millis_training: 37.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.6835, kappa: 0.3692, kb_relative_information_score: 321.2584, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6873, predictive_accuracy: 0.6846, prior_entropy: 1, recall: 0.6846, relative_absolute_error: 0.9017, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.923, scimark_benchmark: 1368.9864, usercpu_time_millis: 26.689, usercpu_time_millis_testing: 0.504, usercpu_time_millis_training: 26.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7668, kappa: 0.5346, kb_relative_information_score: 604.5332, mean_absolute_error: 0.4039, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7698, predictive_accuracy: 0.7673, prior_entropy: 1, recall: 0.7673, relative_absolute_error: 0.8077, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.422, root_relative_squared_error: 0.844, scimark_benchmark: 1371.4093, usercpu_time_millis: 10.594, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 10.24,
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: 1372.3568, usercpu_time_millis: 5.317, usercpu_time_millis_testing: 0.795, usercpu_time_millis_training: 4.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.8261, kappa: 0.6523, kb_relative_information_score: 883.4725, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8267, predictive_accuracy: 0.8262, prior_entropy: 1, recall: 0.8262, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.387, root_relative_squared_error: 0.774, scimark_benchmark: 1375.8186, usercpu_time_millis: 634.294, usercpu_time_millis_testing: 2.522, usercpu_time_millis_training: 631.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8558, kappa: 0.7115, kb_relative_information_score: 1289.7102, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8558, predictive_accuracy: 0.8558, prior_entropy: 1, recall: 0.8558, relative_absolute_error: 0.5483, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.338, root_relative_squared_error: 0.676, scimark_benchmark: 1371.9989, usercpu_time_millis: 1027.67, usercpu_time_millis_testing: 1.911, usercpu_time_millis_training: 1025.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8384, kappa: 0.6769, kb_relative_information_score: 1062.4432, mean_absolute_error: 0.3198, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8386, predictive_accuracy: 0.8385, prior_entropy: 1, recall: 0.8385, relative_absolute_error: 0.6397, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7298, scimark_benchmark: 1377.4444, usercpu_time_millis: 1336.807, usercpu_time_millis_testing: 2.533, usercpu_time_millis_training: 1334.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.8357, kappa: 0.6715, kb_relative_information_score: 1049.6801, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8361, predictive_accuracy: 0.8358, prior_entropy: 1, recall: 0.8358, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7338, scimark_benchmark: 1374.9074, usercpu_time_millis: 2800.575, usercpu_time_millis_testing: 3.554, usercpu_time_millis_training: 2797.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.8307, kappa: 0.6615, kb_relative_information_score: 927.5704, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8313, predictive_accuracy: 0.8308, prior_entropy: 1, recall: 0.8308, relative_absolute_error: 0.6913, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7626, scimark_benchmark: 1364.3813, usercpu_time_millis: 335.776, usercpu_time_millis_testing: 0.942, usercpu_time_millis_training: 334.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8369, kappa: 0.6738, kb_relative_information_score: 1131.8733, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8374, predictive_accuracy: 0.8369, prior_entropy: 1, recall: 0.8369, relative_absolute_error: 0.6086, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7234, scimark_benchmark: 1367.8241, usercpu_time_millis: 2005.295, usercpu_time_millis_testing: 2.558, usercpu_time_millis_training: 2002.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, 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: 1387.1481, usercpu_time_millis: 5.259, usercpu_time_millis_testing: 0.928, usercpu_time_millis_training: 4.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8245, kappa: 0.6492, kb_relative_information_score: 997.1537, mean_absolute_error: 0.3314, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8251, predictive_accuracy: 0.8246, prior_entropy: 1, recall: 0.8246, relative_absolute_error: 0.6628, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7517, scimark_benchmark: 1366.8402, usercpu_time_millis: 2542.021, usercpu_time_millis_testing: 2.39, usercpu_time_millis_training: 2539.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.7611, kappa: 0.5246, kb_relative_information_score: 517.722, mean_absolute_error: 0.4193, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7676, predictive_accuracy: 0.7623, prior_entropy: 1, recall: 0.7623, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4328, root_relative_squared_error: 0.8657, scimark_benchmark: 1365.9172, usercpu_time_millis: 265.882, usercpu_time_millis_testing: 2.445, usercpu_time_millis_training: 263.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6625, f_measure: 0.6041, kappa: 0.2085, kb_relative_information_score: 85.9279, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6044, predictive_accuracy: 0.6042, prior_entropy: 1, recall: 0.6042, relative_absolute_error: 0.9757, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9791, scimark_benchmark: 1366.2696, usercpu_time_millis: 15.445, usercpu_time_millis_testing: 1.238, usercpu_time_millis_training: 14.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8257, kappa: 0.6515, kb_relative_information_score: 937.5854, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8263, predictive_accuracy: 0.8258, prior_entropy: 1, recall: 0.8258, relative_absolute_error: 0.6865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7624, scimark_benchmark: 1366.6991, usercpu_time_millis: 224.72, usercpu_time_millis_testing: 0.637, usercpu_time_millis_training: 224.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.715, kappa: 0.43, kb_relative_information_score: 1152.4102, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7151, predictive_accuracy: 0.715, prior_entropy: 1, recall: 0.715, relative_absolute_error: 0.5541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5088, root_relative_squared_error: 1.0177, scimark_benchmark: 1370.3866, usercpu_time_millis: 3.865, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 3.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.6177, kappa: 0.2369, kb_relative_information_score: 236.0599, mean_absolute_error: 0.4641, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6194, predictive_accuracy: 0.6185, prior_entropy: 1, recall: 0.6185, relative_absolute_error: 0.9283, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9481, scimark_benchmark: 1367.6346, usercpu_time_millis: 93.341, usercpu_time_millis_testing: 1.02, usercpu_time_millis_training: 92.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7264, f_measure: 0.6449, kappa: 0.2938, kb_relative_information_score: 289.4264, mean_absolute_error: 0.4557, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6503, predictive_accuracy: 0.6469, prior_entropy: 1, recall: 0.6469, relative_absolute_error: 0.9113, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.933, scimark_benchmark: 1358.6011, usercpu_time_millis: 453.191, usercpu_time_millis_testing: 1.727, usercpu_time_millis_training: 451.464,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.8688, kappa: 0.7377, kb_relative_information_score: 1152.4471, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8691, predictive_accuracy: 0.8688, prior_entropy: 1, recall: 0.8688, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.6949, scimark_benchmark: 1370.8027, usercpu_time_millis: 1217.349, usercpu_time_millis_testing: 4.398, usercpu_time_millis_training: 1212.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7309, f_measure: 0.6524, kappa: 0.3092, kb_relative_information_score: 302.541, mean_absolute_error: 0.4535, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6587, predictive_accuracy: 0.6546, prior_entropy: 1, recall: 0.6546, relative_absolute_error: 0.907, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9302, scimark_benchmark: 1368.7921, usercpu_time_millis: 250.565, usercpu_time_millis_testing: 1.303, usercpu_time_millis_training: 249.262,
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: 1366.4985, usercpu_time_millis: 5.223, usercpu_time_millis_testing: 0.916, usercpu_time_millis_training: 4.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.734, kappa: 0.4715, kb_relative_information_score: 480.8962, mean_absolute_error: 0.4242, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7424, predictive_accuracy: 0.7358, prior_entropy: 1, recall: 0.7358, relative_absolute_error: 0.8483, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.8824, scimark_benchmark: 1365.4364, usercpu_time_millis: 412.908, usercpu_time_millis_testing: 2.672, usercpu_time_millis_training: 410.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.797, kappa: 0.5946, kb_relative_information_score: 805.6234, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7989, predictive_accuracy: 0.7973, prior_entropy: 1, recall: 0.7973, relative_absolute_error: 0.7328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8022, scimark_benchmark: 1365.6707, usercpu_time_millis: 519.918, usercpu_time_millis_testing: 0.939, usercpu_time_millis_training: 518.979,
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: 1369.5322, usercpu_time_millis: 2.216, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 1.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.7965, kappa: 0.5931, kb_relative_information_score: 847.4992, mean_absolute_error: 0.3577, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.797, predictive_accuracy: 0.7965, prior_entropy: 1, recall: 0.7965, relative_absolute_error: 0.7155, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.397, root_relative_squared_error: 0.7939, scimark_benchmark: 1372.4926, usercpu_time_millis: 800.785, usercpu_time_millis_testing: 2.134, usercpu_time_millis_training: 798.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, 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: 1366.0855, usercpu_time_millis: 3.977, usercpu_time_millis_testing: 0.997, usercpu_time_millis_training: 2.98,
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: 1364.3901, usercpu_time_millis: 4.328, usercpu_time_millis_testing: 0.853, usercpu_time_millis_training: 3.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, f_measure: 0.6156, kappa: 0.2315, kb_relative_information_score: 210.4049, mean_absolute_error: 0.4682, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6159, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.9364, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.9609, scimark_benchmark: 1366.0635, usercpu_time_millis: 133.975, usercpu_time_millis_testing: 1.326, usercpu_time_millis_training: 132.649,
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: 1367.5961, usercpu_time_millis: 3.026, usercpu_time_millis_testing: 0.497, usercpu_time_millis_training: 2.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.7967, kappa: 0.5938, kb_relative_information_score: 777.501, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7984, predictive_accuracy: 0.7969, prior_entropy: 1, recall: 0.7969, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8088, scimark_benchmark: 1370.9813, usercpu_time_millis: 1225.586, usercpu_time_millis_testing: 2.084, usercpu_time_millis_training: 1223.502,
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: 1366.9208, usercpu_time_millis: 5.552, usercpu_time_millis_testing: 0.937, usercpu_time_millis_training: 4.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.734, kappa: 0.4685, kb_relative_information_score: 710.7351, mean_absolute_error: 0.3799, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7349, predictive_accuracy: 0.7342, prior_entropy: 1, recall: 0.7342, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8398, scimark_benchmark: 1364.2862, usercpu_time_millis: 22.08, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 21.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.7873, kappa: 0.5746, kb_relative_information_score: 816.1627, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7876, predictive_accuracy: 0.7873, prior_entropy: 1, recall: 0.7873, relative_absolute_error: 0.7262, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.8042, scimark_benchmark: 1368.6614, usercpu_time_millis: 421.107, usercpu_time_millis_testing: 0.856, usercpu_time_millis_training: 420.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.6469, kappa: 0.2946, kb_relative_information_score: 187.2973, mean_absolute_error: 0.4726, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6479, predictive_accuracy: 0.6473, prior_entropy: 1, recall: 0.6473, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4765, root_relative_squared_error: 0.9529, scimark_benchmark: 1368.9804, usercpu_time_millis: 54.584, usercpu_time_millis_testing: 2.215, usercpu_time_millis_training: 52.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.761, kappa: 0.5238, kb_relative_information_score: 687.6458, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7662, predictive_accuracy: 0.7619, prior_entropy: 1, recall: 0.7619, relative_absolute_error: 0.7745, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8337, scimark_benchmark: 1347.1255, usercpu_time_millis: 202.73, usercpu_time_millis_testing: 0.714, usercpu_time_millis_training: 202.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8311, kappa: 0.6623, kb_relative_information_score: 867.2253, mean_absolute_error: 0.3574, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8316, predictive_accuracy: 0.8312, prior_entropy: 1, recall: 0.8312, relative_absolute_error: 0.7147, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7758, scimark_benchmark: 1369.7905, usercpu_time_millis: 184.048, usercpu_time_millis_testing: 0.833, usercpu_time_millis_training: 183.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8234, kappa: 0.6469, kb_relative_information_score: 912.7938, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8241, predictive_accuracy: 0.8235, prior_entropy: 1, recall: 0.8235, relative_absolute_error: 0.6948, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.7714, scimark_benchmark: 1362.0632, usercpu_time_millis: 582.736, usercpu_time_millis_testing: 1.215, usercpu_time_millis_training: 581.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.6134, kappa: 0.2269, kb_relative_information_score: 186.9011, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6135, predictive_accuracy: 0.6135, prior_entropy: 1, recall: 0.6135, relative_absolute_error: 0.9443, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9575, scimark_benchmark: 1371.3011, usercpu_time_millis: 17.048, usercpu_time_millis_testing: 0.625, usercpu_time_millis_training: 16.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.7762, kappa: 0.5538, kb_relative_information_score: 676.9525, mean_absolute_error: 0.3904, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7807, predictive_accuracy: 0.7769, prior_entropy: 1, recall: 0.7769, relative_absolute_error: 0.7809, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8289, scimark_benchmark: 1368.6222, usercpu_time_millis: 300.288, usercpu_time_millis_testing: 1.488, usercpu_time_millis_training: 298.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.835, kappa: 0.67, kb_relative_information_score: 1061.5448, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8352, predictive_accuracy: 0.835, prior_entropy: 1, recall: 0.835, relative_absolute_error: 0.64, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.7305, scimark_benchmark: 1373.3195, usercpu_time_millis: 2309.168, usercpu_time_millis_testing: 2.324, usercpu_time_millis_training: 2306.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.8284, kappa: 0.6569, kb_relative_information_score: 847.9116, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.829, predictive_accuracy: 0.8285, prior_entropy: 1, recall: 0.8285, relative_absolute_error: 0.721, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7824, scimark_benchmark: 1366.9146, usercpu_time_millis: 723.639, usercpu_time_millis_testing: 2.063, usercpu_time_millis_training: 721.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.7767, kappa: 0.5538, kb_relative_information_score: 709.8695, mean_absolute_error: 0.3837, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.778, predictive_accuracy: 0.7769, prior_entropy: 1, recall: 0.7769, relative_absolute_error: 0.7674, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.825, scimark_benchmark: 1369.2964, usercpu_time_millis: 10.649, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 10.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.6808, kappa: 0.3662, kb_relative_information_score: 324.0926, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6884, predictive_accuracy: 0.6831, prior_entropy: 1, recall: 0.6831, relative_absolute_error: 0.9005, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9229, scimark_benchmark: 1364.2624, usercpu_time_millis: 158.624, usercpu_time_millis_testing: 1.669, usercpu_time_millis_training: 156.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.8017, kappa: 0.6038, kb_relative_information_score: 750.8525, mean_absolute_error: 0.3776, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8032, predictive_accuracy: 0.8019, prior_entropy: 1, recall: 0.8019, relative_absolute_error: 0.7552, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8087, scimark_benchmark: 1368.5265, usercpu_time_millis: 93.411, usercpu_time_millis_testing: 0.723, usercpu_time_millis_training: 92.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, f_measure: 0.6423, kappa: 0.2869, kb_relative_information_score: 272.7064, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6454, predictive_accuracy: 0.6435, prior_entropy: 1, recall: 0.6435, relative_absolute_error: 0.916, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9405, scimark_benchmark: 1363.4136, usercpu_time_millis: 41.359, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 40.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.7999, kappa: 0.6, kb_relative_information_score: 840.1579, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8006, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.7198, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.7959, scimark_benchmark: 1370.4844, usercpu_time_millis: 72.742, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 72.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, 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: 1367.7083, usercpu_time_millis: 5.976, usercpu_time_millis_testing: 1.091, usercpu_time_millis_training: 4.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.8087, kappa: 0.6177, kb_relative_information_score: 857.2203, mean_absolute_error: 0.3571, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8099, predictive_accuracy: 0.8088, prior_entropy: 1, recall: 0.8088, relative_absolute_error: 0.7142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7895, scimark_benchmark: 1364.9317, usercpu_time_millis: 773.777, usercpu_time_millis_testing: 0.992, usercpu_time_millis_training: 772.785,

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