Task
Supervised Classification on eye_movements

Supervised Classification on eye_movements

Task 4602 Supervised Classification eye_movements 153 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.5864, kappa: 0.3698, kb_relative_information_score: 39828.0081, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.5871, predictive_accuracy: 0.5859, prior_entropy: 1.5663, recall: 0.5859, relative_absolute_error: 0.7158, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.9498, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7223, f_measure: 0.534, kappa: 0.2921, kb_relative_information_score: 24860.7196, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.5477, predictive_accuracy: 0.5386, prior_entropy: 1.5663, recall: 0.5386, relative_absolute_error: 0.8502, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.9185, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2186, kb_relative_information_score: 13969.2349, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.1519, predictive_accuracy: 0.3897, prior_entropy: 1.5663, recall: 0.3897, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.6379, root_relative_squared_error: 1.3617, scimark_benchmark: 904.6764, usercpu_time_millis: 150740, usercpu_time_millis_testing: 33100, usercpu_time_millis_training: 117640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2186, kb_relative_information_score: 13969.2349, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.1519, predictive_accuracy: 0.3897, prior_entropy: 1.5663, recall: 0.3897, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.6379, root_relative_squared_error: 1.3617, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.5505, kappa: 0.3154, kb_relative_information_score: 32208.7521, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.5511, predictive_accuracy: 0.5502, prior_entropy: 1.5663, recall: 0.5502, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.9109, scimark_benchmark: 938.191, usercpu_time_millis: 290, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, f_measure: 0.6338, kappa: 0.4412, kb_relative_information_score: 37583.0821, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.6353, predictive_accuracy: 0.6334, prior_entropy: 1.5663, recall: 0.6334, relative_absolute_error: 0.7436, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8495, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.6455, kappa: 0.4613, kb_relative_information_score: 48024.3685, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.6455, predictive_accuracy: 0.6455, prior_entropy: 1.5663, recall: 0.6455, relative_absolute_error: 0.6341, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.8384, scimark_benchmark: 944.1067, usercpu_time_millis: 25370, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 25240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2186, kb_relative_information_score: 13969.2349, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.1519, predictive_accuracy: 0.3897, prior_entropy: 1.5663, recall: 0.3897, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.6379, root_relative_squared_error: 1.3617, scimark_benchmark: 941.3847, usercpu_time_millis: 122290, usercpu_time_millis_testing: 24940, usercpu_time_millis_training: 97350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2186, kb_relative_information_score: 13969.2349, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.1519, predictive_accuracy: 0.3897, prior_entropy: 1.5663, recall: 0.3897, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.6379, root_relative_squared_error: 1.3617, scimark_benchmark: 937.5117, usercpu_time_millis: 138460, usercpu_time_millis_testing: 27320, usercpu_time_millis_training: 111140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.7082, kappa: 0.5528, kb_relative_information_score: 38359.8496, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.7115, predictive_accuracy: 0.7072, prior_entropy: 1.5663, recall: 0.7072, relative_absolute_error: 0.7431, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.8135, scimark_benchmark: 937.5117, usercpu_time_millis: 9680, usercpu_time_millis_testing: 1000, usercpu_time_millis_training: 8680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.5864, kappa: 0.3698, kb_relative_information_score: 39828.0081, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.5871, predictive_accuracy: 0.5859, prior_entropy: 1.5663, recall: 0.5859, relative_absolute_error: 0.7158, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.9498, scimark_benchmark: 942.2392, usercpu_time_millis: 370, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7223, f_measure: 0.534, kappa: 0.2921, kb_relative_information_score: 24860.7196, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.5477, predictive_accuracy: 0.5386, prior_entropy: 1.5663, recall: 0.5386, relative_absolute_error: 0.8502, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.9185, scimark_benchmark: 938.1282, usercpu_time_millis: 6320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.6522, kappa: 0.4713, kb_relative_information_score: 56340.8265, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.6523, predictive_accuracy: 0.6521, prior_entropy: 1.5663, recall: 0.6521, relative_absolute_error: 0.5373, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9794, scimark_benchmark: 944.0133, usercpu_time_millis: 58550, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 58510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.5505, kappa: 0.3154, kb_relative_information_score: 32208.7521, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.5511, predictive_accuracy: 0.5502, prior_entropy: 1.5663, recall: 0.5502, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.9109, scimark_benchmark: 930.404, usercpu_time_millis: 310, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.5505, kappa: 0.3154, kb_relative_information_score: 32208.7521, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.5511, predictive_accuracy: 0.5502, prior_entropy: 1.5663, recall: 0.5502, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.9109, scimark_benchmark: 930.404, usercpu_time_millis: 310, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.5505, kappa: 0.3154, kb_relative_information_score: 32208.7521, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.5511, predictive_accuracy: 0.5502, prior_entropy: 1.5663, recall: 0.5502, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.9109, scimark_benchmark: 903.2737, usercpu_time_millis: 320, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.5505, kappa: 0.3154, kb_relative_information_score: 32208.7521, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.5511, predictive_accuracy: 0.5502, prior_entropy: 1.5663, recall: 0.5502, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.9109, scimark_benchmark: 938.1282, usercpu_time_millis: 310, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, f_measure: 0.6338, kappa: 0.4412, kb_relative_information_score: 37583.0821, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.6353, predictive_accuracy: 0.6334, prior_entropy: 1.5663, recall: 0.6334, relative_absolute_error: 0.7436, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8495, scimark_benchmark: 903.2737, usercpu_time_millis: 4220, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 4150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.5505, kappa: 0.3154, kb_relative_information_score: 32208.7521, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.5511, predictive_accuracy: 0.5502, prior_entropy: 1.5663, recall: 0.5502, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.9109, scimark_benchmark: 944.0133, usercpu_time_millis: 320, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.6455, kappa: 0.4613, kb_relative_information_score: 48024.3685, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.6455, predictive_accuracy: 0.6455, prior_entropy: 1.5663, recall: 0.6455, relative_absolute_error: 0.6341, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.8384, scimark_benchmark: 936.2574, usercpu_time_millis: 24160, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 24030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.7082, kappa: 0.5528, kb_relative_information_score: 38359.8496, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.7115, predictive_accuracy: 0.7072, prior_entropy: 1.5663, recall: 0.7072, relative_absolute_error: 0.7431, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.8135, scimark_benchmark: 730.6551, usercpu_time_millis: 17140, usercpu_time_millis_testing: 2870, usercpu_time_millis_training: 14270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.7357, kappa: 0.5958, kb_relative_information_score: 41683.6571, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.7374, predictive_accuracy: 0.7349, prior_entropy: 1.5663, recall: 0.7349, relative_absolute_error: 0.7155, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.7884, scimark_benchmark: 943.6618, usercpu_time_millis: 470400, usercpu_time_millis_testing: 67950, usercpu_time_millis_training: 402450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.7297, kappa: 0.5868, kb_relative_information_score: 41670.3984, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.7315, predictive_accuracy: 0.729, prior_entropy: 1.5663, recall: 0.729, relative_absolute_error: 0.7151, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7907, scimark_benchmark: 1158.055, usercpu_time_millis: 520620, usercpu_time_millis_testing: 40810, usercpu_time_millis_training: 479810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7179, kappa: 0.5687, kb_relative_information_score: 41593.1874, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.7196, predictive_accuracy: 0.7171, prior_entropy: 1.5663, recall: 0.7171, relative_absolute_error: 0.7149, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.795, scimark_benchmark: 940.1221, usercpu_time_millis: 95060, usercpu_time_millis_testing: 7950, usercpu_time_millis_training: 87110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.702, kappa: 0.5448, kb_relative_information_score: 41667.3998, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.7035, predictive_accuracy: 0.7013, prior_entropy: 1.5663, recall: 0.7013, relative_absolute_error: 0.7128, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.8022, scimark_benchmark: 920.5394, usercpu_time_millis: 48440, usercpu_time_millis_testing: 3560, usercpu_time_millis_training: 44880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.669, kappa: 0.4947, kb_relative_information_score: 41053.06, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.6701, predictive_accuracy: 0.6683, prior_entropy: 1.5663, recall: 0.6683, relative_absolute_error: 0.7156, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3858, root_relative_squared_error: 0.8235, scimark_benchmark: 939.7883, usercpu_time_millis: 37150, usercpu_time_millis_testing: 1910, usercpu_time_millis_training: 35240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6972, f_measure: 0.5171, kappa: 0.2597, kb_relative_information_score: 23811.5597, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.5212, predictive_accuracy: 0.5163, prior_entropy: 1.5663, recall: 0.5163, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.438, root_relative_squared_error: 0.9351, scimark_benchmark: 929.0296, usercpu_time_millis: 490, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5945, f_measure: 0.368, kappa: 0.1611, kb_relative_information_score: 12206.8685, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.4216, predictive_accuracy: 0.4246, prior_entropy: 1.5663, recall: 0.4246, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9773, scimark_benchmark: 929.0296, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5945, f_measure: 0.368, kappa: 0.1611, kb_relative_information_score: 12206.8685, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.4216, predictive_accuracy: 0.4246, prior_entropy: 1.5663, recall: 0.4246, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9773, scimark_benchmark: 929.0296, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5945, f_measure: 0.368, kappa: 0.1611, kb_relative_information_score: 12206.8685, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.4216, predictive_accuracy: 0.4246, prior_entropy: 1.5663, recall: 0.4246, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9773, scimark_benchmark: 941.9549, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5945, f_measure: 0.368, kappa: 0.1611, kb_relative_information_score: 12206.8685, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.4216, predictive_accuracy: 0.4246, prior_entropy: 1.5663, recall: 0.4246, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9773, scimark_benchmark: 940.0055, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5945, f_measure: 0.368, kappa: 0.1611, kb_relative_information_score: 12206.8685, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.4216, predictive_accuracy: 0.4246, prior_entropy: 1.5663, recall: 0.4246, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9773, scimark_benchmark: 938.3115, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2186, kb_relative_information_score: 13969.2349, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.1519, predictive_accuracy: 0.3897, prior_entropy: 1.5663, recall: 0.3897, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.6379, root_relative_squared_error: 1.3617, scimark_benchmark: 922.8232, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.6945, kappa: 0.5346, kb_relative_information_score: 56765.4118, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.6949, predictive_accuracy: 0.6942, prior_entropy: 1.5663, recall: 0.6942, relative_absolute_error: 0.5517, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7981, scimark_benchmark: 922.8232, usercpu_time_millis: 6560, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 6240,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.6455, kappa: 0.4613, kb_relative_information_score: 48024.3685, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.6455, predictive_accuracy: 0.6455, prior_entropy: 1.5663, recall: 0.6455, relative_absolute_error: 0.6341, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.8384, scimark_benchmark: 1347.993, usercpu_time_millis: 30860, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 30520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.7082, kappa: 0.5528, kb_relative_information_score: 38359.8496, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.7115, predictive_accuracy: 0.7072, prior_entropy: 1.5663, recall: 0.7072, relative_absolute_error: 0.7431, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.8135, scimark_benchmark: 942.9708, usercpu_time_millis: 10970, usercpu_time_millis_testing: 1690, usercpu_time_millis_training: 9280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.5505, kappa: 0.3154, kb_relative_information_score: 32208.7521, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.5511, predictive_accuracy: 0.5502, prior_entropy: 1.5663, recall: 0.5502, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.9109, scimark_benchmark: 1341.5795, usercpu_time_millis: 210, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.5864, kappa: 0.3698, kb_relative_information_score: 39828.0081, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.5871, predictive_accuracy: 0.5859, prior_entropy: 1.5663, recall: 0.5859, relative_absolute_error: 0.7158, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.9498, scimark_benchmark: 1341.5795, usercpu_time_millis: 310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7644, f_measure: 0.6613, kappa: 0.486, kb_relative_information_score: 56526.8594, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.6612, predictive_accuracy: 0.6615, prior_entropy: 1.5663, recall: 0.6615, relative_absolute_error: 0.5395, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9597, scimark_benchmark: 1350.2369, usercpu_time_millis: 2520, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7212, f_measure: 0.5331, kappa: 0.2932, kb_relative_information_score: 31349.8485, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.533, predictive_accuracy: 0.5337, prior_entropy: 1.5663, recall: 0.5337, relative_absolute_error: 0.7941, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.9382, scimark_benchmark: 935.5075, usercpu_time_millis: 210, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.5505, kappa: 0.3154, kb_relative_information_score: 32208.7521, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.5511, predictive_accuracy: 0.5502, prior_entropy: 1.5663, recall: 0.5502, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.9109, scimark_benchmark: 1288.1375, usercpu_time_millis: 210, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.722, kappa: 0.5729, kb_relative_information_score: 31593.7924, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.7282, predictive_accuracy: 0.7211, prior_entropy: 1.5663, recall: 0.7211, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.8407, scimark_benchmark: 1330.9699, usercpu_time_millis: 40730, usercpu_time_millis_testing: 1810, usercpu_time_millis_training: 38920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.5505, kappa: 0.3154, kb_relative_information_score: 32208.7521, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.5511, predictive_accuracy: 0.5502, prior_entropy: 1.5663, recall: 0.5502, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.9109, scimark_benchmark: 933.1165, usercpu_time_millis: 370, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.5505, kappa: 0.3154, kb_relative_information_score: 32208.7521, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.5511, predictive_accuracy: 0.5502, prior_entropy: 1.5663, recall: 0.5502, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.9109, scimark_benchmark: 1354.3488, usercpu_time_millis: 200, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.5505, kappa: 0.3154, kb_relative_information_score: 32208.7521, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.5511, predictive_accuracy: 0.5502, prior_entropy: 1.5663, recall: 0.5502, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.9109, scimark_benchmark: 1342.6911, usercpu_time_millis: 200, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.578, kappa: 0.354, kb_relative_information_score: 31428.7408, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.5804, predictive_accuracy: 0.5767, prior_entropy: 1.5663, recall: 0.5767, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8883, scimark_benchmark: 1339.8573, usercpu_time_millis: 12080, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 12070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5231, f_measure: 0.3716, kappa: 0.0478, kb_relative_information_score: 13749.3486, mean_absolute_error: 0.4193, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.3726, predictive_accuracy: 0.3711, prior_entropy: 1.5663, recall: 0.3711, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.6475, root_relative_squared_error: 1.3823, scimark_benchmark: 1151.6869, usercpu_time_millis: 7690, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 7660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7777, f_measure: 0.6037, kappa: 0.39, kb_relative_information_score: 48683.6915, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.6101, predictive_accuracy: 0.602, prior_entropy: 1.5663, recall: 0.602, relative_absolute_error: 0.6097, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4777, root_relative_squared_error: 1.0198, scimark_benchmark: 1352.2099, usercpu_time_millis: 2667790, usercpu_time_millis_testing: 2667790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.71, f_measure: 0.6245, kappa: 0.4278, kb_relative_information_score: 52541.8828, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.6251, predictive_accuracy: 0.6241, prior_entropy: 1.5663, recall: 0.6241, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0685, scimark_benchmark: 1341.1616, usercpu_time_millis: 15560, usercpu_time_millis_testing: 15560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, f_measure: 0.5883, kappa: 0.3702, kb_relative_information_score: 33458.9088, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.5905, predictive_accuracy: 0.5872, prior_entropy: 1.5663, recall: 0.5872, relative_absolute_error: 0.776, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8804, scimark_benchmark: 889.3151, usercpu_time_millis: 28670, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 28660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.7035, kappa: 0.5446, kb_relative_information_score: 31513.7952, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.7091, predictive_accuracy: 0.7025, prior_entropy: 1.5663, recall: 0.7025, relative_absolute_error: 0.8013, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.844, scimark_benchmark: 1342.1678, usercpu_time_millis: 7680, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 7260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7223, f_measure: 0.534, kappa: 0.2921, kb_relative_information_score: 24860.7196, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.5477, predictive_accuracy: 0.5386, prior_entropy: 1.5663, recall: 0.5386, relative_absolute_error: 0.8502, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.9185, scimark_benchmark: 854.5188, usercpu_time_millis: 6360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.5138, kappa: 0.2813, kb_relative_information_score: 36198.857, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.5227, predictive_accuracy: 0.5184, prior_entropy: 1.5663, recall: 0.5184, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4951, root_relative_squared_error: 1.0569, scimark_benchmark: 1350.4702, usercpu_time_millis: 27820, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 27710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.5661, kappa: 0.3376, kb_relative_information_score: 33146.0189, mean_absolute_error: 0.3418, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.5674, predictive_accuracy: 0.5654, prior_entropy: 1.5663, recall: 0.5654, relative_absolute_error: 0.7789, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.899, scimark_benchmark: 1318.5627, usercpu_time_millis: 2140, usercpu_time_millis_testing: 1820, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.5505, kappa: 0.3154, kb_relative_information_score: 32208.7521, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.5511, predictive_accuracy: 0.5502, prior_entropy: 1.5663, recall: 0.5502, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.9109, scimark_benchmark: 937.1527, usercpu_time_millis: 270, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.5864, kappa: 0.3698, kb_relative_information_score: 39828.0081, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.5871, predictive_accuracy: 0.5859, prior_entropy: 1.5663, recall: 0.5859, relative_absolute_error: 0.7158, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.9498, scimark_benchmark: 1151.3336, usercpu_time_millis: 290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6803, f_measure: 0.5, kappa: 0.2376, kb_relative_information_score: 17723.8164, mean_absolute_error: 0.3977, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.5009, predictive_accuracy: 0.4993, prior_entropy: 1.5663, recall: 0.4993, relative_absolute_error: 0.9063, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4424, root_relative_squared_error: 0.9444, scimark_benchmark: 1270.2428, usercpu_time_millis: 300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6446, f_measure: 0.4056, kappa: 0.183, kb_relative_information_score: 13035.9839, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.4462, predictive_accuracy: 0.4418, prior_entropy: 1.5663, recall: 0.4418, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9737, scimark_benchmark: 996.6105, usercpu_time_millis: 772490, usercpu_time_millis_testing: 772490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.5616, kappa: 0.3272, kb_relative_information_score: 42673.1019, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.5657, predictive_accuracy: 0.5603, prior_entropy: 1.5663, recall: 0.5603, relative_absolute_error: 0.668, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5414, root_relative_squared_error: 1.1558, scimark_benchmark: 854.5188, usercpu_time_millis: 592830, usercpu_time_millis_testing: 6960, usercpu_time_millis_training: 585870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.71, f_measure: 0.6245, kappa: 0.4278, kb_relative_information_score: 52550.7841, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.6251, predictive_accuracy: 0.6241, prior_entropy: 1.5663, recall: 0.6241, relative_absolute_error: 0.571, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0687, scimark_benchmark: 1305.7231, usercpu_time_millis: 54090, usercpu_time_millis_testing: 54090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.2186, kb_relative_information_score: 1.7794, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.1519, predictive_accuracy: 0.3897, prior_entropy: 1.5663, recall: 0.3897, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4684, root_relative_squared_error: 1, scimark_benchmark: 1330.6247, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6238, f_measure: 0.3722, kappa: 0.1904, kb_relative_information_score: 15427.7811, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.4429, predictive_accuracy: 0.4383, prior_entropy: 1.5663, recall: 0.4383, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9684, scimark_benchmark: 1284.2094, usercpu_time_millis: 2370, usercpu_time_millis_training: 2370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.57, kappa: 0.3423, kb_relative_information_score: 28569.8644, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.5727, predictive_accuracy: 0.5696, prior_entropy: 1.5663, recall: 0.5696, relative_absolute_error: 0.8182, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.8999, scimark_benchmark: 1270.2428, usercpu_time_millis: 4660, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, f_measure: 0.5461, kappa: 0.3007, kb_relative_information_score: 25851.3141, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4388, number_of_instances: 109360, precision: 0.58, predictive_accuracy: 0.55, prior_entropy: 1.5663, recall: 0.55, relative_absolute_error: 0.8334, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.9264, scimark_benchmark: 1318.5627, usercpu_time_millis: 6520, usercpu_time_millis_training: 6520,

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