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: 0.5, 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: 1365.1675, usercpu_time_millis: 5.654, usercpu_time_millis_testing: 0.973, usercpu_time_millis_training: 4.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7423, f_measure: 0.6791, kappa: 0.3654, kb_relative_information_score: 417.5144, mean_absolute_error: 0.433, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6913, predictive_accuracy: 0.6827, prior_entropy: 1, recall: 0.6827, relative_absolute_error: 0.8659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9126, scimark_benchmark: 1367.9693, usercpu_time_millis: 21.58, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 21.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8569, kappa: 0.7138, kb_relative_information_score: 1077.8507, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8573, predictive_accuracy: 0.8569, prior_entropy: 1, recall: 0.8569, relative_absolute_error: 0.6368, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7167, scimark_benchmark: 1365.9579, usercpu_time_millis: 720.837, usercpu_time_millis_testing: 2.689, usercpu_time_millis_training: 718.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7515, kappa: 0.5031, kb_relative_information_score: 740.7688, mean_absolute_error: 0.3751, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7517, predictive_accuracy: 0.7515, prior_entropy: 1, recall: 0.7515, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8298, scimark_benchmark: 1367.7341, usercpu_time_millis: 1075.053, usercpu_time_millis_testing: 1.479, usercpu_time_millis_training: 1073.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8299, kappa: 0.66, kb_relative_information_score: 1025.2718, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8304, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.651, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7448, scimark_benchmark: 1363.8157, usercpu_time_millis: 1133.25, usercpu_time_millis_testing: 2.47, usercpu_time_millis_training: 1130.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7218, kappa: 0.4469, kb_relative_information_score: 569.9298, mean_absolute_error: 0.405, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7289, predictive_accuracy: 0.7235, prior_entropy: 1, recall: 0.7235, relative_absolute_error: 0.81, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8723, scimark_benchmark: 1377.7908, usercpu_time_millis: 320.222, usercpu_time_millis_testing: 1.207, usercpu_time_millis_training: 319.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.8319, kappa: 0.6638, kb_relative_information_score: 964.5947, mean_absolute_error: 0.3385, 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: 0.677, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7543, scimark_benchmark: 1365.4669, usercpu_time_millis: 1109.063, usercpu_time_millis_testing: 1.968, usercpu_time_millis_training: 1107.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.8465, kappa: 0.6931, kb_relative_information_score: 1228.5729, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8466, predictive_accuracy: 0.8465, prior_entropy: 1, recall: 0.8465, relative_absolute_error: 0.5716, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.699, scimark_benchmark: 1364.3667, usercpu_time_millis: 1871.933, usercpu_time_millis_testing: 2.093, usercpu_time_millis_training: 1869.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8284, kappa: 0.6569, kb_relative_information_score: 1045.1288, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8287, predictive_accuracy: 0.8285, prior_entropy: 1, recall: 0.8285, relative_absolute_error: 0.644, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7416, scimark_benchmark: 1366.3332, usercpu_time_millis: 1038.197, usercpu_time_millis_testing: 1.9, usercpu_time_millis_training: 1036.297,
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: 1372.7371, usercpu_time_millis: 3.988, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 3.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7316, f_measure: 0.6682, kappa: 0.3446, kb_relative_information_score: 414.6077, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6813, predictive_accuracy: 0.6723, prior_entropy: 1, recall: 0.6723, relative_absolute_error: 0.8667, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9184, scimark_benchmark: 1365.4242, usercpu_time_millis: 119.105, usercpu_time_millis_testing: 0.661, usercpu_time_millis_training: 118.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8021, kappa: 0.6046, kb_relative_information_score: 842.0519, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8036, predictive_accuracy: 0.8023, prior_entropy: 1, recall: 0.8023, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.7937, scimark_benchmark: 1368.0473, usercpu_time_millis: 291.012, usercpu_time_millis_testing: 0.775, usercpu_time_millis_training: 290.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.7822, kappa: 0.5654, kb_relative_information_score: 719.8541, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7852, predictive_accuracy: 0.7827, prior_entropy: 1, recall: 0.7827, relative_absolute_error: 0.7644, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8226, scimark_benchmark: 1369.8556, usercpu_time_millis: 611.79, usercpu_time_millis_testing: 1.33, usercpu_time_millis_training: 610.46,
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: 1371.0449, usercpu_time_millis: 3.121, usercpu_time_millis_testing: 0.438, usercpu_time_millis_training: 2.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.772, kappa: 0.5454, kb_relative_information_score: 679.3072, mean_absolute_error: 0.3897, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.776, predictive_accuracy: 0.7727, prior_entropy: 1, recall: 0.7727, relative_absolute_error: 0.7794, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8304, scimark_benchmark: 1367.4102, usercpu_time_millis: 283.252, usercpu_time_millis_testing: 1.266, usercpu_time_millis_training: 281.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.7196, kappa: 0.44, kb_relative_information_score: 658.7201, mean_absolute_error: 0.3887, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7213, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8559, scimark_benchmark: 1350.7812, usercpu_time_millis: 13.911, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 13.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8249, kappa: 0.65, kb_relative_information_score: 888.1031, mean_absolute_error: 0.3525, 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: 0.7051, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.7748, scimark_benchmark: 1366.1701, usercpu_time_millis: 341.948, usercpu_time_millis_testing: 1.291, usercpu_time_millis_training: 340.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.75, kappa: 0.5015, kb_relative_information_score: 683.0464, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7537, predictive_accuracy: 0.7508, prior_entropy: 1, recall: 0.7508, relative_absolute_error: 0.7733, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.419, root_relative_squared_error: 0.838, scimark_benchmark: 1369.3691, usercpu_time_millis: 233.02, usercpu_time_millis_testing: 1.062, usercpu_time_millis_training: 231.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.6988, kappa: 0.4015, kb_relative_information_score: 382.381, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7063, predictive_accuracy: 0.7008, prior_entropy: 1, recall: 0.7008, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.454, root_relative_squared_error: 0.908, scimark_benchmark: 1372.8989, usercpu_time_millis: 31.668, usercpu_time_millis_testing: 0.522, usercpu_time_millis_training: 31.146,
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: 1365.299, usercpu_time_millis: 3.441, usercpu_time_millis_testing: 0.58, usercpu_time_millis_training: 2.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.7565, kappa: 0.5154, kb_relative_information_score: 524.9461, mean_absolute_error: 0.4178, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7628, predictive_accuracy: 0.7577, prior_entropy: 1, recall: 0.7577, relative_absolute_error: 0.8356, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8648, scimark_benchmark: 1373.9205, usercpu_time_millis: 207.077, usercpu_time_millis_testing: 1.785, usercpu_time_millis_training: 205.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.823, kappa: 0.6462, kb_relative_information_score: 990.4724, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8237, predictive_accuracy: 0.8231, prior_entropy: 1, recall: 0.8231, relative_absolute_error: 0.6645, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.7565, scimark_benchmark: 1372.2311, usercpu_time_millis: 216.896, usercpu_time_millis_testing: 0.629, usercpu_time_millis_training: 216.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7476, kappa: 0.4977, kb_relative_information_score: 450.9876, mean_absolute_error: 0.4305, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7539, predictive_accuracy: 0.7488, prior_entropy: 1, recall: 0.7488, relative_absolute_error: 0.861, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8832, scimark_benchmark: 1372.0346, usercpu_time_millis: 317.32, usercpu_time_millis_testing: 3.233, usercpu_time_millis_training: 314.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7122, kappa: 0.4262, kb_relative_information_score: 601.5765, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7158, predictive_accuracy: 0.7131, prior_entropy: 1, recall: 0.7131, relative_absolute_error: 0.7969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8682, scimark_benchmark: 1373.2348, usercpu_time_millis: 406.467, usercpu_time_millis_testing: 1.207, usercpu_time_millis_training: 405.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.6507, kappa: 0.3046, kb_relative_information_score: 274.8077, mean_absolute_error: 0.4583, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6551, predictive_accuracy: 0.6523, prior_entropy: 1, recall: 0.6523, relative_absolute_error: 0.9166, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9352, scimark_benchmark: 1365.8472, usercpu_time_millis: 237.214, usercpu_time_millis_testing: 1.91, usercpu_time_millis_training: 235.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.7315, kappa: 0.4677, kb_relative_information_score: 521.8147, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7422, predictive_accuracy: 0.7338, prior_entropy: 1, recall: 0.7338, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8776, scimark_benchmark: 1372.9154, usercpu_time_millis: 509.217, usercpu_time_millis_testing: 1.006, usercpu_time_millis_training: 508.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6531, f_measure: 0.614, kappa: 0.2285, kb_relative_information_score: 177.1398, mean_absolute_error: 0.4737, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6145, predictive_accuracy: 0.6142, prior_entropy: 1, recall: 0.6142, relative_absolute_error: 0.9474, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9679, scimark_benchmark: 1366.6042, usercpu_time_millis: 75.555, usercpu_time_millis_testing: 1.152, usercpu_time_millis_training: 74.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.7368, kappa: 0.4769, kb_relative_information_score: 483.4032, mean_absolute_error: 0.4239, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7447, predictive_accuracy: 0.7385, prior_entropy: 1, recall: 0.7385, relative_absolute_error: 0.8478, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8803, scimark_benchmark: 1364.554, usercpu_time_millis: 305.384, usercpu_time_millis_testing: 2.785, usercpu_time_millis_training: 302.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.6078, kappa: 0.2162, kb_relative_information_score: 152.1757, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6083, predictive_accuracy: 0.6081, prior_entropy: 1, recall: 0.6081, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9679, scimark_benchmark: 1368.7431, usercpu_time_millis: 24.394, usercpu_time_millis_testing: 1.116, usercpu_time_millis_training: 23.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.7224, kappa: 0.4454, kb_relative_information_score: 656.2153, mean_absolute_error: 0.3894, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7238, predictive_accuracy: 0.7227, prior_entropy: 1, recall: 0.7227, relative_absolute_error: 0.7788, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8544, scimark_benchmark: 1373.7644, usercpu_time_millis: 598.933, usercpu_time_millis_testing: 0.962, usercpu_time_millis_training: 597.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8001, kappa: 0.6008, kb_relative_information_score: 810.5896, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8021, predictive_accuracy: 0.8004, prior_entropy: 1, recall: 0.8004, relative_absolute_error: 0.7309, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8018, scimark_benchmark: 1371.5763, usercpu_time_millis: 609.526, usercpu_time_millis_testing: 0.832, usercpu_time_millis_training: 608.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7317, f_measure: 0.6485, kappa: 0.2992, kb_relative_information_score: 246.6941, mean_absolute_error: 0.463, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6516, predictive_accuracy: 0.6496, prior_entropy: 1, recall: 0.6496, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9401, scimark_benchmark: 1372.8529, usercpu_time_millis: 89.542, usercpu_time_millis_testing: 1.8, usercpu_time_millis_training: 87.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.6971, kappa: 0.3992, kb_relative_information_score: 391.6489, mean_absolute_error: 0.4387, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7065, predictive_accuracy: 0.6996, prior_entropy: 1, recall: 0.6996, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9084, scimark_benchmark: 1365.6532, usercpu_time_millis: 91.723, usercpu_time_millis_testing: 1.064, usercpu_time_millis_training: 90.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7285, kappa: 0.4608, kb_relative_information_score: 521.7294, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7371, predictive_accuracy: 0.7304, prior_entropy: 1, recall: 0.7304, relative_absolute_error: 0.8318, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.8771, scimark_benchmark: 1372.1323, usercpu_time_millis: 273.792, usercpu_time_millis_testing: 1.281, usercpu_time_millis_training: 272.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8523, kappa: 0.7046, kb_relative_information_score: 1287.9131, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8524, predictive_accuracy: 0.8523, prior_entropy: 1, recall: 0.8523, relative_absolute_error: 0.5485, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6804, scimark_benchmark: 1841.3429, usercpu_time_millis: 1152.712, usercpu_time_millis_testing: 1.342, usercpu_time_millis_training: 1151.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.838, kappa: 0.6762, kb_relative_information_score: 1203.4242, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8384, predictive_accuracy: 0.8381, prior_entropy: 1, recall: 0.8381, relative_absolute_error: 0.5804, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7044, scimark_benchmark: 1852.0126, usercpu_time_millis: 1265.001, usercpu_time_millis_testing: 2.001, usercpu_time_millis_training: 1263,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.8284, kappa: 0.6569, kb_relative_information_score: 912.2988, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8289, predictive_accuracy: 0.8285, prior_entropy: 1, recall: 0.8285, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7657, scimark_benchmark: 1760.1208, usercpu_time_millis: 773.282, usercpu_time_millis_testing: 2.725, usercpu_time_millis_training: 770.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6432, f_measure: 0.6169, kappa: 0.2346, kb_relative_information_score: 184.8043, mean_absolute_error: 0.4725, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6178, predictive_accuracy: 0.6173, prior_entropy: 1, recall: 0.6173, relative_absolute_error: 0.9451, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9707, scimark_benchmark: 1741.1845, usercpu_time_millis: 59.526, usercpu_time_millis_testing: 0.821, usercpu_time_millis_training: 58.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.7939, kappa: 0.5885, kb_relative_information_score: 739.4249, mean_absolute_error: 0.3789, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7962, predictive_accuracy: 0.7942, prior_entropy: 1, recall: 0.7942, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8154, scimark_benchmark: 1733.299, usercpu_time_millis: 133.393, usercpu_time_millis_testing: 0.748, usercpu_time_millis_training: 132.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.6846, kappa: 0.3754, kb_relative_information_score: 467.0664, mean_absolute_error: 0.4238, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6953, predictive_accuracy: 0.6877, prior_entropy: 1, recall: 0.6877, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.8991, scimark_benchmark: 1739.0884, usercpu_time_millis: 165.479, usercpu_time_millis_testing: 1.119, usercpu_time_millis_training: 164.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8109, kappa: 0.6223, kb_relative_information_score: 732.2455, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8129, predictive_accuracy: 0.8112, prior_entropy: 1, recall: 0.8112, relative_absolute_error: 0.7648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8069, scimark_benchmark: 1747.5081, usercpu_time_millis: 174.967, usercpu_time_millis_testing: 1.619, usercpu_time_millis_training: 173.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.7869, kappa: 0.5738, kb_relative_information_score: 839.097, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7871, predictive_accuracy: 0.7869, prior_entropy: 1, recall: 0.7869, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8007, scimark_benchmark: 1758.8885, usercpu_time_millis: 233.563, usercpu_time_millis_testing: 0.741, usercpu_time_millis_training: 232.822,
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: 1738.3274, usercpu_time_millis: 4.369, usercpu_time_millis_testing: 0.647, usercpu_time_millis_training: 3.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7693, f_measure: 0.7052, kappa: 0.4146, kb_relative_information_score: 450.816, mean_absolute_error: 0.4277, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7134, predictive_accuracy: 0.7073, prior_entropy: 1, recall: 0.7073, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.8976, scimark_benchmark: 1729.2681, usercpu_time_millis: 42.898, usercpu_time_millis_testing: 0.49, usercpu_time_millis_training: 42.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, f_measure: 0.7093, kappa: 0.4238, kb_relative_information_score: 451.4478, mean_absolute_error: 0.4276, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7197, predictive_accuracy: 0.7119, prior_entropy: 1, recall: 0.7119, relative_absolute_error: 0.8551, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4489, root_relative_squared_error: 0.8978, scimark_benchmark: 1744.7906, usercpu_time_millis: 148.378, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 147.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7641, kappa: 0.5308, kb_relative_information_score: 557.887, mean_absolute_error: 0.4122, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7714, predictive_accuracy: 0.7654, prior_entropy: 1, recall: 0.7654, relative_absolute_error: 0.8245, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8559, scimark_benchmark: 1736.0337, usercpu_time_millis: 221.451, usercpu_time_millis_testing: 2.311, usercpu_time_millis_training: 219.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.8438, kappa: 0.6877, kb_relative_information_score: 989.1419, mean_absolute_error: 0.3346, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8441, predictive_accuracy: 0.8438, prior_entropy: 1, recall: 0.8438, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7437, scimark_benchmark: 1742.9281, usercpu_time_millis: 551.567, usercpu_time_millis_testing: 2.27, usercpu_time_millis_training: 549.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.8242, kappa: 0.6485, kb_relative_information_score: 963.4426, mean_absolute_error: 0.3378, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8247, predictive_accuracy: 0.8242, prior_entropy: 1, recall: 0.8242, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7589, scimark_benchmark: 1734.8335, usercpu_time_millis: 904.115, usercpu_time_millis_testing: 1.48, usercpu_time_millis_training: 902.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8446, kappa: 0.6892, kb_relative_information_score: 1397.0199, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8447, predictive_accuracy: 0.8446, prior_entropy: 1, recall: 0.8446, relative_absolute_error: 0.4963, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.681, scimark_benchmark: 1731.6389, usercpu_time_millis: 2047.562, usercpu_time_millis_testing: 2.511, usercpu_time_millis_training: 2045.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8408, kappa: 0.6815, kb_relative_information_score: 1388.5358, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8408, predictive_accuracy: 0.8408, prior_entropy: 1, recall: 0.8408, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.6823, scimark_benchmark: 1754.8214, usercpu_time_millis: 666.315, usercpu_time_millis_testing: 0.928, usercpu_time_millis_training: 665.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.8207, kappa: 0.6415, kb_relative_information_score: 859.5388, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8215, predictive_accuracy: 0.8208, prior_entropy: 1, recall: 0.8208, relative_absolute_error: 0.7158, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7824, scimark_benchmark: 1753.0784, usercpu_time_millis: 706.334, usercpu_time_millis_testing: 1.855, usercpu_time_millis_training: 704.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.8438, kappa: 0.6877, kb_relative_information_score: 1340.1222, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8439, predictive_accuracy: 0.8438, prior_entropy: 1, recall: 0.8438, relative_absolute_error: 0.5235, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6822, scimark_benchmark: 1740.239, usercpu_time_millis: 1828.178, usercpu_time_millis_testing: 2.274, usercpu_time_millis_training: 1825.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8458, kappa: 0.6915, kb_relative_information_score: 1292.164, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8459, predictive_accuracy: 0.8458, prior_entropy: 1, recall: 0.8458, relative_absolute_error: 0.5449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6877, scimark_benchmark: 1732.8983, usercpu_time_millis: 2284.086, usercpu_time_millis_testing: 2.357, usercpu_time_millis_training: 2281.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.8114, kappa: 0.6231, kb_relative_information_score: 854.5531, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8126, predictive_accuracy: 0.8115, prior_entropy: 1, recall: 0.8115, relative_absolute_error: 0.7158, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.7882, scimark_benchmark: 1748.3684, usercpu_time_millis: 285.12, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 284.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.7642, kappa: 0.5285, kb_relative_information_score: 829.6873, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7643, predictive_accuracy: 0.7642, prior_entropy: 1, recall: 0.7642, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8147, scimark_benchmark: 1794.4075, usercpu_time_millis: 510.569, usercpu_time_millis_testing: 1.17, usercpu_time_millis_training: 509.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.818, kappa: 0.6362, kb_relative_information_score: 919.0513, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8185, predictive_accuracy: 0.8181, prior_entropy: 1, recall: 0.8181, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.7725, scimark_benchmark: 1732.8983, usercpu_time_millis: 682.224, usercpu_time_millis_testing: 1.065, usercpu_time_millis_training: 681.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.8253, kappa: 0.6508, kb_relative_information_score: 932.3614, mean_absolute_error: 0.3438, 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: 0.6876, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7653, scimark_benchmark: 1736.0337, usercpu_time_millis: 698.274, usercpu_time_millis_testing: 1.465, usercpu_time_millis_training: 696.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7511, kappa: 0.5046, kb_relative_information_score: 610.5036, mean_absolute_error: 0.4012, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7575, predictive_accuracy: 0.7523, prior_entropy: 1, recall: 0.7523, relative_absolute_error: 0.8025, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.851, scimark_benchmark: 1717.7792, usercpu_time_millis: 195.852, usercpu_time_millis_testing: 0.912, usercpu_time_millis_training: 194.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.8284, kappa: 0.6569, kb_relative_information_score: 1001.7786, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8289, predictive_accuracy: 0.8285, prior_entropy: 1, recall: 0.8285, relative_absolute_error: 0.6619, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7487, scimark_benchmark: 1757.4159, usercpu_time_millis: 1080.641, usercpu_time_millis_testing: 1.396, usercpu_time_millis_training: 1079.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8712, kappa: 0.7423, kb_relative_information_score: 1279.2132, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8712, predictive_accuracy: 0.8712, prior_entropy: 1, recall: 0.8712, relative_absolute_error: 0.5556, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.6693, scimark_benchmark: 1758.3977, usercpu_time_millis: 1434.812, usercpu_time_millis_testing: 3.451, usercpu_time_millis_training: 1431.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.7952, kappa: 0.5908, kb_relative_information_score: 766.9513, mean_absolute_error: 0.3735, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7966, predictive_accuracy: 0.7954, prior_entropy: 1, recall: 0.7954, relative_absolute_error: 0.747, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8092, scimark_benchmark: 1749.3482, usercpu_time_millis: 168.408, usercpu_time_millis_testing: 0.834, usercpu_time_millis_training: 167.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.682, f_measure: 0.609, kappa: 0.2185, kb_relative_information_score: 179.5288, mean_absolute_error: 0.4733, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6095, predictive_accuracy: 0.6092, prior_entropy: 1, recall: 0.6092, relative_absolute_error: 0.9465, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4804, root_relative_squared_error: 0.9608, scimark_benchmark: 1733.3606, usercpu_time_millis: 7.513, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 7.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, f_measure: 0.6951, kappa: 0.3946, kb_relative_information_score: 378.6598, mean_absolute_error: 0.441, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7033, predictive_accuracy: 0.6973, prior_entropy: 1, recall: 0.6973, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9108, scimark_benchmark: 1733.3606, usercpu_time_millis: 102.047, usercpu_time_millis_testing: 0.787, usercpu_time_millis_training: 101.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.7974, kappa: 0.5954, kb_relative_information_score: 748.7097, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7993, predictive_accuracy: 0.7977, prior_entropy: 1, recall: 0.7977, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8103, scimark_benchmark: 1731.5618, usercpu_time_millis: 126.67, usercpu_time_millis_testing: 0.806, usercpu_time_millis_training: 125.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7814, kappa: 0.5638, kb_relative_information_score: 684.7072, mean_absolute_error: 0.3895, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7849, predictive_accuracy: 0.7819, prior_entropy: 1, recall: 0.7819, relative_absolute_error: 0.779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.8253, scimark_benchmark: 1857.6243, usercpu_time_millis: 143.827, usercpu_time_millis_testing: 1.014, usercpu_time_millis_training: 142.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.7308, kappa: 0.4646, kb_relative_information_score: 561.0414, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7377, predictive_accuracy: 0.7323, prior_entropy: 1, recall: 0.7323, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8708, scimark_benchmark: 1737.9267, usercpu_time_millis: 151.726, usercpu_time_millis_testing: 0.601, usercpu_time_millis_training: 151.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.7845, kappa: 0.5692, kb_relative_information_score: 748.6773, mean_absolute_error: 0.3756, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7851, predictive_accuracy: 0.7846, prior_entropy: 1, recall: 0.7846, relative_absolute_error: 0.7512, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8188, scimark_benchmark: 1852.5406, usercpu_time_millis: 160.624, usercpu_time_millis_testing: 0.504, usercpu_time_millis_training: 160.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.7252, kappa: 0.4515, kb_relative_information_score: 631.0052, mean_absolute_error: 0.3943, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7278, predictive_accuracy: 0.7258, prior_entropy: 1, recall: 0.7258, relative_absolute_error: 0.7887, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.8576, scimark_benchmark: 1715.6891, usercpu_time_millis: 290.901, usercpu_time_millis_testing: 0.922, usercpu_time_millis_training: 289.979,

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