OpenML
Supervised Classification on eeg-eye-state

Supervised Classification on eeg-eye-state

Task 9983 Supervised Classification eeg-eye-state 97291 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.867, kappa: 0.7306, kb_relative_information_score: 7204.5318, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8686, predictive_accuracy: 0.8677, prior_entropy: 0.9924, recall: 0.8677, relative_absolute_error: 0.5659, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.6678, scimark_benchmark: 1235.3076, usercpu_time_millis: 687.56, usercpu_time_millis_testing: 37.035, usercpu_time_millis_training: 650.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9277, kappa: 0.8536, kb_relative_information_score: 8981.9028, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9285, predictive_accuracy: 0.9279, prior_entropy: 0.9924, recall: 0.9279, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.5524, scimark_benchmark: 1244.4104, usercpu_time_millis: 303.555, usercpu_time_millis_testing: 22.124, usercpu_time_millis_training: 281.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9142, kappa: 0.8264, kb_relative_information_score: 9155.6222, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9149, predictive_accuracy: 0.9145, prior_entropy: 0.9924, recall: 0.9145, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.5612, scimark_benchmark: 1269.2112, usercpu_time_millis: 250.287, usercpu_time_millis_testing: 9.321, usercpu_time_millis_training: 240.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.8811, kappa: 0.759, kb_relative_information_score: 7660.0441, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8824, predictive_accuracy: 0.8816, prior_entropy: 0.9924, recall: 0.8816, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.6423, scimark_benchmark: 1234.9823, usercpu_time_millis: 748.295, usercpu_time_millis_testing: 41.058, usercpu_time_millis_training: 707.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.8608, kappa: 0.7178, kb_relative_information_score: 6195.6864, mean_absolute_error: 0.3158, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.864, predictive_accuracy: 0.8618, prior_entropy: 0.9924, recall: 0.8618, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.7074, scimark_benchmark: 1245.5231, usercpu_time_millis: 507.733, usercpu_time_millis_testing: 48.695, usercpu_time_millis_training: 459.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.8823, kappa: 0.7615, kb_relative_information_score: 7377.3741, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8838, predictive_accuracy: 0.8828, prior_entropy: 0.9924, recall: 0.8828, relative_absolute_error: 0.558, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6492, scimark_benchmark: 1274.1192, usercpu_time_millis: 524.52, usercpu_time_millis_testing: 41.407, usercpu_time_millis_training: 483.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9261, kappa: 0.8503, kb_relative_information_score: 9236.413, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9266, predictive_accuracy: 0.9262, prior_entropy: 0.9924, recall: 0.9262, relative_absolute_error: 0.431, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.5445, scimark_benchmark: 1264.9404, usercpu_time_millis: 284.958, usercpu_time_millis_testing: 14.595, usercpu_time_millis_training: 270.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9127, kappa: 0.8233, kb_relative_information_score: 8646.8516, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9136, predictive_accuracy: 0.913, prior_entropy: 0.9924, recall: 0.913, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.5787, scimark_benchmark: 1238.772, usercpu_time_millis: 222.675, usercpu_time_millis_testing: 13.874, usercpu_time_millis_training: 208.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.8895, kappa: 0.7761, kb_relative_information_score: 7820.2144, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8907, predictive_accuracy: 0.8899, prior_entropy: 0.9924, recall: 0.8899, relative_absolute_error: 0.5266, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.629, scimark_benchmark: 1247.3633, usercpu_time_millis: 572.527, usercpu_time_millis_testing: 39.106, usercpu_time_millis_training: 533.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9157, kappa: 0.8294, kb_relative_information_score: 9147.7875, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9163, predictive_accuracy: 0.916, prior_entropy: 0.9924, recall: 0.916, relative_absolute_error: 0.4337, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.5593, scimark_benchmark: 1267.9626, usercpu_time_millis: 535.155, usercpu_time_millis_testing: 19.742, usercpu_time_millis_training: 515.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9144, kappa: 0.8267, kb_relative_information_score: 9306.8467, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9149, predictive_accuracy: 0.9146, prior_entropy: 0.9924, recall: 0.9146, relative_absolute_error: 0.4207, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.5555, scimark_benchmark: 1284.4936, usercpu_time_millis: 937.745, usercpu_time_millis_testing: 29.823, usercpu_time_millis_training: 907.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9269, kappa: 0.8521, kb_relative_information_score: 9709.7128, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9274, predictive_accuracy: 0.9271, prior_entropy: 0.9924, recall: 0.9271, relative_absolute_error: 0.3939, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.5278, scimark_benchmark: 1250.0086, usercpu_time_millis: 122.413, usercpu_time_millis_testing: 5.075, usercpu_time_millis_training: 117.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9051, kappa: 0.8078, kb_relative_information_score: 8741.6788, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9057, predictive_accuracy: 0.9053, prior_entropy: 0.9924, recall: 0.9053, relative_absolute_error: 0.4613, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.584, scimark_benchmark: 1258.3793, usercpu_time_millis: 729.948, usercpu_time_millis_testing: 27.197, usercpu_time_millis_training: 702.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9024, kappa: 0.8024, kb_relative_information_score: 8940.4424, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.903, predictive_accuracy: 0.9027, prior_entropy: 0.9924, recall: 0.9027, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.5815, scimark_benchmark: 1283.8355, usercpu_time_millis: 19.506, usercpu_time_millis_testing: 0.836, usercpu_time_millis_training: 18.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9204, kappa: 0.839, kb_relative_information_score: 9722.1717, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9209, predictive_accuracy: 0.9206, prior_entropy: 0.9924, recall: 0.9206, relative_absolute_error: 0.391, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.533, scimark_benchmark: 1285.9128, usercpu_time_millis: 792.782, usercpu_time_millis_testing: 24.099, usercpu_time_millis_training: 768.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8675, kappa: 0.7315, kb_relative_information_score: 7253.1965, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.869, predictive_accuracy: 0.8681, prior_entropy: 0.9924, recall: 0.8681, relative_absolute_error: 0.5625, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.6653, scimark_benchmark: 1262.7061, usercpu_time_millis: 53.379, usercpu_time_millis_testing: 3.416, usercpu_time_millis_training: 49.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9289, kappa: 0.8561, kb_relative_information_score: 9322.4235, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9295, predictive_accuracy: 0.9291, prior_entropy: 0.9924, recall: 0.9291, relative_absolute_error: 0.4249, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.5399, scimark_benchmark: 1280.7295, usercpu_time_millis: 201.779, usercpu_time_millis_testing: 9.52, usercpu_time_millis_training: 192.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9291, kappa: 0.8564, kb_relative_information_score: 9677.629, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9296, predictive_accuracy: 0.9292, prior_entropy: 0.9924, recall: 0.9292, relative_absolute_error: 0.3971, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.5267, scimark_benchmark: 1289.0183, usercpu_time_millis: 384.025, usercpu_time_millis_testing: 11.44, usercpu_time_millis_training: 372.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.8964, kappa: 0.7901, kb_relative_information_score: 7812.6231, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8976, predictive_accuracy: 0.8968, prior_entropy: 0.9924, recall: 0.8968, relative_absolute_error: 0.5296, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6232, scimark_benchmark: 1287.2801, usercpu_time_millis: 492.385, usercpu_time_millis_testing: 38.471, usercpu_time_millis_training: 453.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9099, kappa: 0.8176, kb_relative_information_score: 9119.1579, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9105, predictive_accuracy: 0.9101, prior_entropy: 0.9924, recall: 0.9101, relative_absolute_error: 0.4334, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.5673, scimark_benchmark: 1289.6068, usercpu_time_millis: 266.712, usercpu_time_millis_testing: 8.275, usercpu_time_millis_training: 258.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.8779, kappa: 0.7526, kb_relative_information_score: 7876.7338, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.879, predictive_accuracy: 0.8784, prior_entropy: 0.9924, recall: 0.8784, relative_absolute_error: 0.5173, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.6399, scimark_benchmark: 1287.5357, usercpu_time_millis: 23.742, usercpu_time_millis_testing: 1.223, usercpu_time_millis_training: 22.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9174, kappa: 0.8328, kb_relative_information_score: 9655.0525, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9178, predictive_accuracy: 0.9176, prior_entropy: 0.9924, recall: 0.9176, relative_absolute_error: 0.3948, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.5397, scimark_benchmark: 1260.9945, usercpu_time_millis: 781.956, usercpu_time_millis_testing: 20.748, usercpu_time_millis_training: 761.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.8845, kappa: 0.766, kb_relative_information_score: 7770.1502, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8857, predictive_accuracy: 0.885, prior_entropy: 0.9924, recall: 0.885, relative_absolute_error: 0.5286, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.6354, scimark_benchmark: 1293.4453, usercpu_time_millis: 710.085, usercpu_time_millis_testing: 41.45, usercpu_time_millis_training: 668.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9183, kappa: 0.8345, kb_relative_information_score: 9140.713, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9189, predictive_accuracy: 0.9185, prior_entropy: 0.9924, recall: 0.9185, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.556, scimark_benchmark: 1268.2184, usercpu_time_millis: 558.78, usercpu_time_millis_testing: 23.822, usercpu_time_millis_training: 534.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9299, kappa: 0.858, kb_relative_information_score: 9196.0306, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9305, predictive_accuracy: 0.93, prior_entropy: 0.9924, recall: 0.93, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.27, root_relative_squared_error: 0.5428, scimark_benchmark: 1266.062, usercpu_time_millis: 556.07, usercpu_time_millis_testing: 28.26, usercpu_time_millis_training: 527.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.8956, kappa: 0.7885, kb_relative_information_score: 8144.1995, mean_absolute_error: 0.2494, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8965, predictive_accuracy: 0.8959, prior_entropy: 0.9924, recall: 0.8959, relative_absolute_error: 0.5042, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3045, root_relative_squared_error: 0.6122, scimark_benchmark: 1259.9417, usercpu_time_millis: 622.133, usercpu_time_millis_testing: 37.051, usercpu_time_millis_training: 585.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9272, kappa: 0.8526, kb_relative_information_score: 9682.5144, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9275, predictive_accuracy: 0.9273, prior_entropy: 0.9924, recall: 0.9273, relative_absolute_error: 0.3966, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.5274, scimark_benchmark: 1287.8262, usercpu_time_millis: 165.512, usercpu_time_millis_testing: 5.427, usercpu_time_millis_training: 160.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.894, kappa: 0.7852, kb_relative_information_score: 8173.4486, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8949, predictive_accuracy: 0.8943, prior_entropy: 0.9924, recall: 0.8943, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.6127, scimark_benchmark: 1289.795, usercpu_time_millis: 775.467, usercpu_time_millis_testing: 41.39, usercpu_time_millis_training: 734.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9016, kappa: 0.8008, kb_relative_information_score: 8449.3188, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9024, predictive_accuracy: 0.9019, prior_entropy: 0.9924, recall: 0.9019, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.5976, scimark_benchmark: 1293.1745, usercpu_time_millis: 60.394, usercpu_time_millis_testing: 3.073, usercpu_time_millis_training: 57.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9299, kappa: 0.8581, kb_relative_information_score: 9982.8828, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9303, predictive_accuracy: 0.93, prior_entropy: 0.9924, recall: 0.93, relative_absolute_error: 0.3741, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.5126, scimark_benchmark: 1290.5493, usercpu_time_millis: 658.359, usercpu_time_millis_testing: 22.602, usercpu_time_millis_training: 635.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9019, kappa: 0.8014, kb_relative_information_score: 8542.906, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9026, predictive_accuracy: 0.9022, prior_entropy: 0.9924, recall: 0.9022, relative_absolute_error: 0.4755, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.5939, scimark_benchmark: 1288.1051, usercpu_time_millis: 676.382, usercpu_time_millis_testing: 28.195, usercpu_time_millis_training: 648.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9109, kappa: 0.8196, kb_relative_information_score: 9872.3784, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9113, predictive_accuracy: 0.9111, prior_entropy: 0.9924, recall: 0.9111, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.5453, scimark_benchmark: 1289.5561, usercpu_time_millis: 28.379, usercpu_time_millis_testing: 0.876, usercpu_time_millis_training: 27.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9156, kappa: 0.8291, kb_relative_information_score: 9069.752, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9162, predictive_accuracy: 0.9158, prior_entropy: 0.9924, recall: 0.9158, relative_absolute_error: 0.4401, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.5608, scimark_benchmark: 1249.8957, usercpu_time_millis: 193.166, usercpu_time_millis_testing: 8.624, usercpu_time_millis_training: 184.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8745, kappa: 0.7456, kb_relative_information_score: 6915.6218, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8765, predictive_accuracy: 0.8752, prior_entropy: 0.9924, recall: 0.8752, relative_absolute_error: 0.5896, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.6722, scimark_benchmark: 1260.907, usercpu_time_millis: 568.634, usercpu_time_millis_testing: 47.893, usercpu_time_millis_training: 520.741,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9057, kappa: 0.8089, kb_relative_information_score: 8459.4429, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9064, predictive_accuracy: 0.9059, prior_entropy: 0.9924, recall: 0.9059, relative_absolute_error: 0.4831, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.5934, scimark_benchmark: 1273.183, usercpu_time_millis: 683.293, usercpu_time_millis_testing: 40.029, usercpu_time_millis_training: 643.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9189, kappa: 0.8358, kb_relative_information_score: 9633.3245, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9192, predictive_accuracy: 0.919, prior_entropy: 0.9924, recall: 0.919, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.5385, scimark_benchmark: 1247.643, usercpu_time_millis: 120.247, usercpu_time_millis_testing: 2.936, usercpu_time_millis_training: 117.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.8986, kappa: 0.7946, kb_relative_information_score: 7639.1155, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9001, predictive_accuracy: 0.8991, prior_entropy: 0.9924, recall: 0.8991, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.6286, scimark_benchmark: 1246.0905, usercpu_time_millis: 168.315, usercpu_time_millis_testing: 15.067, usercpu_time_millis_training: 153.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9192, kappa: 0.8364, kb_relative_information_score: 9592.3914, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9196, predictive_accuracy: 0.9194, prior_entropy: 0.9924, recall: 0.9194, relative_absolute_error: 0.4003, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.54, scimark_benchmark: 1256.4098, usercpu_time_millis: 396.717, usercpu_time_millis_testing: 12.462, usercpu_time_millis_training: 384.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9301, kappa: 0.8586, kb_relative_information_score: 9395.3324, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9307, predictive_accuracy: 0.9303, prior_entropy: 0.9924, recall: 0.9303, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.535, scimark_benchmark: 1284.1877, usercpu_time_millis: 262.019, usercpu_time_millis_testing: 11.923, usercpu_time_millis_training: 250.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.8691, kappa: 0.7348, kb_relative_information_score: 7375.8067, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8705, predictive_accuracy: 0.8697, prior_entropy: 0.9924, recall: 0.8697, relative_absolute_error: 0.5537, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.6605, scimark_benchmark: 1284.2092, usercpu_time_millis: 18.433, usercpu_time_millis_testing: 1.123, usercpu_time_millis_training: 17.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9261, kappa: 0.8503, kb_relative_information_score: 9719.1143, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9266, predictive_accuracy: 0.9262, prior_entropy: 0.9924, recall: 0.9262, relative_absolute_error: 0.3931, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2626, root_relative_squared_error: 0.5279, scimark_benchmark: 1283.643, usercpu_time_millis: 484.222, usercpu_time_millis_testing: 12.26, usercpu_time_millis_training: 471.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9105, kappa: 0.8187, kb_relative_information_score: 9229.2484, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.911, predictive_accuracy: 0.9107, prior_entropy: 0.9924, recall: 0.9107, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.279, root_relative_squared_error: 0.5609, scimark_benchmark: 1237.9534, usercpu_time_millis: 185.01, usercpu_time_millis_testing: 5.832, usercpu_time_millis_training: 179.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.8832, kappa: 0.7634, kb_relative_information_score: 7055.3448, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8851, predictive_accuracy: 0.8838, prior_entropy: 0.9924, recall: 0.8838, relative_absolute_error: 0.5819, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.6613, scimark_benchmark: 1246.6588, usercpu_time_millis: 196.296, usercpu_time_millis_testing: 19.763, usercpu_time_millis_training: 176.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8751, kappa: 0.747, kb_relative_information_score: 6726.621, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8779, predictive_accuracy: 0.876, prior_entropy: 0.9924, recall: 0.876, relative_absolute_error: 0.6036, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.679, scimark_benchmark: 1244.0339, usercpu_time_millis: 103.223, usercpu_time_millis_testing: 8.944, usercpu_time_millis_training: 94.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.8975, kappa: 0.7924, kb_relative_information_score: 8296.0913, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8984, predictive_accuracy: 0.8979, prior_entropy: 0.9924, recall: 0.8979, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6063, scimark_benchmark: 1255.1142, usercpu_time_millis: 52.881, usercpu_time_millis_testing: 3.123, usercpu_time_millis_training: 49.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9114, kappa: 0.8205, kb_relative_information_score: 8733.8124, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9121, predictive_accuracy: 0.9116, prior_entropy: 0.9924, recall: 0.9116, relative_absolute_error: 0.4644, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.5773, scimark_benchmark: 1250.1934, usercpu_time_millis: 345.95, usercpu_time_millis_testing: 20.323, usercpu_time_millis_training: 325.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9171, kappa: 0.8322, kb_relative_information_score: 9171.1941, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9177, predictive_accuracy: 0.9174, prior_entropy: 0.9924, recall: 0.9174, relative_absolute_error: 0.4326, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.5561, scimark_benchmark: 1249.684, usercpu_time_millis: 570.803, usercpu_time_millis_testing: 27.108, usercpu_time_millis_training: 543.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9143, kappa: 0.8264, kb_relative_information_score: 9028.9817, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9149, predictive_accuracy: 0.9145, prior_entropy: 0.9924, recall: 0.9145, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.281, root_relative_squared_error: 0.5651, scimark_benchmark: 1239.7748, usercpu_time_millis: 422.992, usercpu_time_millis_testing: 18.467, usercpu_time_millis_training: 404.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9018, kappa: 0.801, kb_relative_information_score: 8530.5019, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9026, predictive_accuracy: 0.9021, prior_entropy: 0.9924, recall: 0.9021, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.5936, scimark_benchmark: 1285.3779, usercpu_time_millis: 209.576, usercpu_time_millis_testing: 11.177, usercpu_time_millis_training: 198.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9303, kappa: 0.8589, kb_relative_information_score: 10089.5352, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9307, predictive_accuracy: 0.9304, prior_entropy: 0.9924, recall: 0.9304, relative_absolute_error: 0.366, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.5077, scimark_benchmark: 1278.7911, usercpu_time_millis: 98.086, usercpu_time_millis_testing: 4.315, usercpu_time_millis_training: 93.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9131, kappa: 0.824, kb_relative_information_score: 9311.2197, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9136, predictive_accuracy: 0.9133, prior_entropy: 0.9924, recall: 0.9133, relative_absolute_error: 0.4199, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.5567, scimark_benchmark: 1247.3553, usercpu_time_millis: 666.072, usercpu_time_millis_testing: 19.317, usercpu_time_millis_training: 646.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.8878, kappa: 0.7728, kb_relative_information_score: 7886.8228, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8889, predictive_accuracy: 0.8883, prior_entropy: 0.9924, recall: 0.8883, relative_absolute_error: 0.5209, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.6286, scimark_benchmark: 1234.0982, usercpu_time_millis: 496.702, usercpu_time_millis_testing: 28.492, usercpu_time_millis_training: 468.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.8731, kappa: 0.7429, kb_relative_information_score: 7097.3891, mean_absolute_error: 0.2849, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8749, predictive_accuracy: 0.8738, prior_entropy: 0.9924, recall: 0.8738, relative_absolute_error: 0.5759, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.6665, scimark_benchmark: 1250.0397, usercpu_time_millis: 353.826, usercpu_time_millis_testing: 31.868, usercpu_time_millis_training: 321.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.8902, kappa: 0.7776, kb_relative_information_score: 7524.4706, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8918, predictive_accuracy: 0.8907, prior_entropy: 0.9924, recall: 0.8907, relative_absolute_error: 0.549, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.639, scimark_benchmark: 1282.7724, usercpu_time_millis: 146.283, usercpu_time_millis_testing: 11.723, usercpu_time_millis_training: 134.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9113, kappa: 0.8203, kb_relative_information_score: 8721.2056, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9121, predictive_accuracy: 0.9115, prior_entropy: 0.9924, recall: 0.9115, relative_absolute_error: 0.4651, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.5783, scimark_benchmark: 1249.5341, usercpu_time_millis: 185.861, usercpu_time_millis_testing: 11.237, usercpu_time_millis_training: 174.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.8804, kappa: 0.7578, kb_relative_information_score: 7658.6975, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8818, predictive_accuracy: 0.881, prior_entropy: 0.9924, recall: 0.881, relative_absolute_error: 0.5354, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.32, root_relative_squared_error: 0.6434, scimark_benchmark: 1256.7561, usercpu_time_millis: 682.89, usercpu_time_millis_testing: 35.773, usercpu_time_millis_training: 647.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9129, kappa: 0.8235, kb_relative_information_score: 8184.9434, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9141, predictive_accuracy: 0.9132, prior_entropy: 0.9924, recall: 0.9132, relative_absolute_error: 0.5067, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.297, root_relative_squared_error: 0.5972, scimark_benchmark: 1247.6505, usercpu_time_millis: 501.871, usercpu_time_millis_testing: 37.477, usercpu_time_millis_training: 464.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8498, kappa: 0.6982, kb_relative_information_score: 7882.5527, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8826, predictive_accuracy: 0.855, prior_entropy: 0.9924, recall: 0.855, relative_absolute_error: 0.5004, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.6542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -0.2097, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.7355, kappa: 0.4645, kb_relative_information_score: 3781.156, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7423, predictive_accuracy: 0.7397, prior_entropy: 0.9924, recall: 0.7397, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8507, scimark_benchmark: 1836.7016, usercpu_time_millis: 3.713, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 3.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8307, kappa: 0.6568, kb_relative_information_score: 5967.1741, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8337, predictive_accuracy: 0.832, prior_entropy: 0.9924, recall: 0.832, relative_absolute_error: 0.6458, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.7348, scimark_benchmark: 787.8104, usercpu_time_millis: 45.372, usercpu_time_millis_testing: 2.547, usercpu_time_millis_training: 42.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.7973, kappa: 0.5894, kb_relative_information_score: 5056.7694, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8024, predictive_accuracy: 0.7997, prior_entropy: 0.9924, recall: 0.7997, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.7816, scimark_benchmark: 1860.189, usercpu_time_millis: 51.614, usercpu_time_millis_testing: 4.243, usercpu_time_millis_training: 47.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.6905, kappa: 0.3743, kb_relative_information_score: 2975.0578, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6982, predictive_accuracy: 0.6967, prior_entropy: 0.9924, recall: 0.6967, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.8975, scimark_benchmark: 1846.6923, usercpu_time_millis: 64.054, usercpu_time_millis_testing: 3.736, usercpu_time_millis_training: 60.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.8665, kappa: 0.7294, kb_relative_information_score: 6799.5034, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8685, predictive_accuracy: 0.8672, prior_entropy: 0.9924, recall: 0.8672, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6807, scimark_benchmark: 1836.2249, usercpu_time_millis: 80.215, usercpu_time_millis_testing: 6.153, usercpu_time_millis_training: 74.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8392, kappa: 0.6742, kb_relative_information_score: 6250.094, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8416, predictive_accuracy: 0.8403, prior_entropy: 0.9924, recall: 0.8403, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7205, scimark_benchmark: 1942.0127, usercpu_time_millis: 77.054, usercpu_time_millis_testing: 6.344, usercpu_time_millis_training: 70.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.8044, kappa: 0.6045, kb_relative_information_score: 9009.8436, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8044, predictive_accuracy: 0.8045, prior_entropy: 0.9924, recall: 0.8045, relative_absolute_error: 0.3969, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8724, scimark_benchmark: 1835.0844, usercpu_time_millis: 0.646, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.7598, kappa: 0.5139, kb_relative_information_score: 4318.7006, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7674, predictive_accuracy: 0.7637, prior_entropy: 0.9924, recall: 0.7637, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.822, scimark_benchmark: 1837.7149, usercpu_time_millis: 7.556, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 7.181,

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