Task
Supervised Classification on analcatdata_marketing

Supervised Classification on analcatdata_marketing

Task 4554 Supervised Classification analcatdata_marketing 194 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4852, f_measure: 0.5651, kappa: -0.0211, kb_relative_information_score: -87.8734, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5471, predictive_accuracy: 0.6538, prior_entropy: 0.901, recall: 0.6538, relative_absolute_error: 1.0111, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0693, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.494, f_measure: 0.5804, kappa: -0.0051, kb_relative_information_score: -464.0696, mean_absolute_error: 0.4597, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5649, predictive_accuracy: 0.6305, prior_entropy: 0.901, recall: 0.6305, relative_absolute_error: 1.0626, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4915, root_relative_squared_error: 1.0572, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4809, f_measure: 0.5759, kappa: -0.0166, kb_relative_information_score: -245.8988, mean_absolute_error: 0.4426, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5594, predictive_accuracy: 0.6146, prior_entropy: 0.901, recall: 0.6146, relative_absolute_error: 1.023, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5126, root_relative_squared_error: 1.1027, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5557, kb_relative_information_score: 817.8339, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.4679, predictive_accuracy: 0.6841, prior_entropy: 0.901, recall: 0.6841, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.2091, scimark_benchmark: 941.3142, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4883, f_measure: 0.5534, kappa: -0.0589, kb_relative_information_score: -335.3671, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5415, predictive_accuracy: 0.5701, prior_entropy: 0.901, recall: 0.5701, relative_absolute_error: 1.0274, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5281, root_relative_squared_error: 1.136, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5261, f_measure: 0.5761, kappa: -0.009, kb_relative_information_score: -105.2937, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5637, predictive_accuracy: 0.5964, prior_entropy: 0.901, recall: 0.5964, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5279, root_relative_squared_error: 1.1356, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5048, f_measure: 0.5722, kappa: 0.001, kb_relative_information_score: -81.9969, mean_absolute_error: 0.4299, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5689, predictive_accuracy: 0.6654, prior_entropy: 0.901, recall: 0.6654, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4766, root_relative_squared_error: 1.0252, scimark_benchmark: 938.191, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4795, f_measure: 0.5477, kappa: -0.049, kb_relative_information_score: 159.5701, mean_absolute_error: 0.4021, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.4973, predictive_accuracy: 0.6533, prior_entropy: 0.901, recall: 0.6533, relative_absolute_error: 0.9296, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0745, scimark_benchmark: 941.6675, usercpu_time_millis: 430, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5111, f_measure: 0.5838, kappa: 0.0182, kb_relative_information_score: -41.2367, mean_absolute_error: 0.4131, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5757, predictive_accuracy: 0.5948, prior_entropy: 0.901, recall: 0.5948, relative_absolute_error: 0.9549, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5873, root_relative_squared_error: 1.2633, scimark_benchmark: 931.771, usercpu_time_millis: 2090, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5543, kappa: -0.0151, kb_relative_information_score: -146.13, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5105, predictive_accuracy: 0.6742, prior_entropy: 0.901, recall: 0.6742, relative_absolute_error: 1.0114, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.0159, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5557, kb_relative_information_score: 817.8339, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.4679, predictive_accuracy: 0.6841, prior_entropy: 0.901, recall: 0.6841, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.2091, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5557, kb_relative_information_score: 817.8339, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.4679, predictive_accuracy: 0.6841, prior_entropy: 0.901, recall: 0.6841, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.2091, scimark_benchmark: 941.3847, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5543, kappa: -0.0151, kb_relative_information_score: -146.13, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5105, predictive_accuracy: 0.6742, prior_entropy: 0.901, recall: 0.6742, relative_absolute_error: 1.0114, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.0159, scimark_benchmark: 947.1781, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4852, f_measure: 0.5651, kappa: -0.0211, kb_relative_information_score: -87.8734, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5471, predictive_accuracy: 0.6538, prior_entropy: 0.901, recall: 0.6538, relative_absolute_error: 1.0111, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0693, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.494, f_measure: 0.5804, kappa: -0.0051, kb_relative_information_score: -464.0696, mean_absolute_error: 0.4597, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5649, predictive_accuracy: 0.6305, prior_entropy: 0.901, recall: 0.6305, relative_absolute_error: 1.0626, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4915, root_relative_squared_error: 1.0572, scimark_benchmark: 901.6243, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4809, f_measure: 0.5759, kappa: -0.0166, kb_relative_information_score: -245.8988, mean_absolute_error: 0.4426, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5594, predictive_accuracy: 0.6146, prior_entropy: 0.901, recall: 0.6146, relative_absolute_error: 1.023, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5126, root_relative_squared_error: 1.1027, scimark_benchmark: 936.2574, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5557, kb_relative_information_score: 817.8339, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.4679, predictive_accuracy: 0.6841, prior_entropy: 0.901, recall: 0.6841, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.2091, scimark_benchmark: 940.1221, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5557, kb_relative_information_score: 817.8339, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.4679, predictive_accuracy: 0.6841, prior_entropy: 0.901, recall: 0.6841, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.2091, scimark_benchmark: 859.5223, usercpu_time_millis: 250, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5261, f_measure: 0.5761, kappa: -0.009, kb_relative_information_score: -105.2937, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5637, predictive_accuracy: 0.5964, prior_entropy: 0.901, recall: 0.5964, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5279, root_relative_squared_error: 1.1356, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5261, f_measure: 0.5761, kappa: -0.009, kb_relative_information_score: -105.2937, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5637, predictive_accuracy: 0.5964, prior_entropy: 0.901, recall: 0.5964, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5279, root_relative_squared_error: 1.1356, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5261, f_measure: 0.5761, kappa: -0.009, kb_relative_information_score: -105.2937, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5637, predictive_accuracy: 0.5964, prior_entropy: 0.901, recall: 0.5964, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5279, root_relative_squared_error: 1.1356, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5048, f_measure: 0.5722, kappa: 0.001, kb_relative_information_score: -81.9969, mean_absolute_error: 0.4299, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5689, predictive_accuracy: 0.6654, prior_entropy: 0.901, recall: 0.6654, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4766, root_relative_squared_error: 1.0252, scimark_benchmark: 903.2737, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4795, f_measure: 0.5477, kappa: -0.049, kb_relative_information_score: 159.5701, mean_absolute_error: 0.4021, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.4973, predictive_accuracy: 0.6533, prior_entropy: 0.901, recall: 0.6533, relative_absolute_error: 0.9296, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0745, scimark_benchmark: 763.3895, usercpu_time_millis: 440, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5261, f_measure: 0.5761, kappa: -0.009, kb_relative_information_score: -105.2937, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5637, predictive_accuracy: 0.5964, prior_entropy: 0.901, recall: 0.5964, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5279, root_relative_squared_error: 1.1356, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5111, f_measure: 0.5838, kappa: 0.0182, kb_relative_information_score: -41.2367, mean_absolute_error: 0.4131, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5757, predictive_accuracy: 0.5948, prior_entropy: 0.901, recall: 0.5948, relative_absolute_error: 0.9549, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5873, root_relative_squared_error: 1.2633, scimark_benchmark: 936.3213, usercpu_time_millis: 2250, usercpu_time_millis_training: 2250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5543, kappa: -0.0151, kb_relative_information_score: -146.13, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5105, predictive_accuracy: 0.6742, prior_entropy: 0.901, recall: 0.6742, relative_absolute_error: 1.0114, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.0159, scimark_benchmark: 945.6228, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.513, f_measure: 0.5573, kappa: -0.0295, kb_relative_information_score: -128.171, mean_absolute_error: 0.4339, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5292, predictive_accuracy: 0.658, prior_entropy: 0.901, recall: 0.658, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0215, scimark_benchmark: 1051.249, usercpu_time_millis: 22920, usercpu_time_millis_testing: 7900, usercpu_time_millis_training: 15020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, f_measure: 0.5522, kappa: -0.0468, kb_relative_information_score: -154.9017, mean_absolute_error: 0.4358, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5157, predictive_accuracy: 0.6486, prior_entropy: 0.901, recall: 0.6486, relative_absolute_error: 1.0075, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.478, root_relative_squared_error: 1.0282, scimark_benchmark: 859.5223, usercpu_time_millis: 10670, usercpu_time_millis_testing: 2850, usercpu_time_millis_training: 7820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.564, kappa: -0.0255, kb_relative_information_score: -150.1686, mean_absolute_error: 0.4348, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5441, predictive_accuracy: 0.6508, prior_entropy: 0.901, recall: 0.6508, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4792, root_relative_squared_error: 1.0307, scimark_benchmark: 937.5683, usercpu_time_millis: 4920, usercpu_time_millis_testing: 1240, usercpu_time_millis_training: 3680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5163, f_measure: 0.5773, kappa: -0.0086, kb_relative_information_score: -143.4007, mean_absolute_error: 0.4331, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5622, predictive_accuracy: 0.6398, prior_entropy: 0.901, recall: 0.6398, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4827, root_relative_squared_error: 1.0383, scimark_benchmark: 910.2405, usercpu_time_millis: 2390, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 1880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5052, f_measure: 0.5782, kappa: -0.0107, kb_relative_information_score: -169.9058, mean_absolute_error: 0.4331, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5619, predictive_accuracy: 0.6269, prior_entropy: 0.901, recall: 0.6269, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.492, root_relative_squared_error: 1.0583, scimark_benchmark: 942.5233, usercpu_time_millis: 1150, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4857, f_measure: 0.5667, kappa: -0.0317, kb_relative_information_score: -273.4259, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5533, predictive_accuracy: 0.5882, prior_entropy: 0.901, recall: 0.5882, relative_absolute_error: 1.0148, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5364, root_relative_squared_error: 1.1538, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4857, f_measure: 0.5667, kappa: -0.0317, kb_relative_information_score: -273.4259, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5533, predictive_accuracy: 0.5882, prior_entropy: 0.901, recall: 0.5882, relative_absolute_error: 1.0148, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5364, root_relative_squared_error: 1.1538, scimark_benchmark: 889.4922, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.5643, kappa: -0.039, kb_relative_information_score: -274.3762, mean_absolute_error: 0.4392, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5498, predictive_accuracy: 0.5882, prior_entropy: 0.901, recall: 0.5882, relative_absolute_error: 1.0153, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5346, root_relative_squared_error: 1.1499, scimark_benchmark: 894.7131, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4749, f_measure: 0.5633, kappa: -0.046, kb_relative_information_score: -255.3426, mean_absolute_error: 0.4387, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5453, predictive_accuracy: 0.5978, prior_entropy: 0.901, recall: 0.5978, relative_absolute_error: 1.014, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.1178, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4791, f_measure: 0.5774, kappa: -0.0129, kb_relative_information_score: -196.2101, mean_absolute_error: 0.4358, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5607, predictive_accuracy: 0.6253, prior_entropy: 0.901, recall: 0.6253, relative_absolute_error: 1.0074, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5047, root_relative_squared_error: 1.0856, scimark_benchmark: 926.5859,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.5789, kappa: 0.0014, kb_relative_information_score: 402.9499, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5688, predictive_accuracy: 0.6522, prior_entropy: 0.901, recall: 0.6522, relative_absolute_error: 0.8457, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5492, root_relative_squared_error: 1.1814, scimark_benchmark: 936.7286, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5543, kappa: -0.0151, kb_relative_information_score: -146.13, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5105, predictive_accuracy: 0.6742, prior_entropy: 0.901, recall: 0.6742, relative_absolute_error: 1.0114, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.0159, scimark_benchmark: 1345.5961, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.494, f_measure: 0.5804, kappa: -0.0051, kb_relative_information_score: -464.0696, mean_absolute_error: 0.4597, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5649, predictive_accuracy: 0.6305, prior_entropy: 0.901, recall: 0.6305, relative_absolute_error: 1.0626, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4915, root_relative_squared_error: 1.0572, scimark_benchmark: 1316.5668, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5608, kappa: -0.0077, kb_relative_information_score: -335.168, mean_absolute_error: 0.4457, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5644, predictive_accuracy: 0.5574, prior_entropy: 0.901, recall: 0.5574, relative_absolute_error: 1.0302, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.6419, root_relative_squared_error: 1.3807, scimark_benchmark: 1319.5773, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4809, f_measure: 0.5759, kappa: -0.0166, kb_relative_information_score: -245.8988, mean_absolute_error: 0.4426, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5594, predictive_accuracy: 0.6146, prior_entropy: 0.901, recall: 0.6146, relative_absolute_error: 1.023, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5126, root_relative_squared_error: 1.1027, scimark_benchmark: 1321.8132, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5557, kb_relative_information_score: 817.8339, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.4679, predictive_accuracy: 0.6841, prior_entropy: 0.901, recall: 0.6841, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.2091, scimark_benchmark: 1347.7267, usercpu_time_millis: 180, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4883, f_measure: 0.5534, kappa: -0.0589, kb_relative_information_score: -335.3671, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5415, predictive_accuracy: 0.5701, prior_entropy: 0.901, recall: 0.5701, relative_absolute_error: 1.0274, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5281, root_relative_squared_error: 1.136, scimark_benchmark: 1337.7902, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5048, f_measure: 0.5722, kappa: 0.001, kb_relative_information_score: -81.9969, mean_absolute_error: 0.4299, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5689, predictive_accuracy: 0.6654, prior_entropy: 0.901, recall: 0.6654, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4766, root_relative_squared_error: 1.0252, scimark_benchmark: 1366.2491, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5543, kappa: -0.0151, kb_relative_information_score: -146.13, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5105, predictive_accuracy: 0.6742, prior_entropy: 0.901, recall: 0.6742, relative_absolute_error: 1.0114, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.0159, scimark_benchmark: 1332.7986, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4852, f_measure: 0.5651, kappa: -0.0211, kb_relative_information_score: -87.8734, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5471, predictive_accuracy: 0.6538, prior_entropy: 0.901, recall: 0.6538, relative_absolute_error: 1.0111, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0693, scimark_benchmark: 1382.5085, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.5663, kappa: -0.0205, kb_relative_information_score: -121.772, mean_absolute_error: 0.4364, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5489, predictive_accuracy: 0.6522, prior_entropy: 0.901, recall: 0.6522, relative_absolute_error: 1.0087, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0224, scimark_benchmark: 1330.8256, usercpu_time_millis: 470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5111, f_measure: 0.5838, kappa: 0.0182, kb_relative_information_score: -41.2367, mean_absolute_error: 0.4131, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5757, predictive_accuracy: 0.5948, prior_entropy: 0.901, recall: 0.5948, relative_absolute_error: 0.9549, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5873, root_relative_squared_error: 1.2633, scimark_benchmark: 1324.6608, usercpu_time_millis: 2010, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5543, kappa: -0.0151, kb_relative_information_score: -146.13, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5105, predictive_accuracy: 0.6742, prior_entropy: 0.901, recall: 0.6742, relative_absolute_error: 1.0114, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.0159, scimark_benchmark: 1274.7011, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5557, kb_relative_information_score: 817.8339, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.4679, predictive_accuracy: 0.6841, prior_entropy: 0.901, recall: 0.6841, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.2091, scimark_benchmark: 1324.7353, usercpu_time_millis: 180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5557, kb_relative_information_score: 817.8339, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.4679, predictive_accuracy: 0.6841, prior_entropy: 0.901, recall: 0.6841, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.2091, scimark_benchmark: 1296.1753, usercpu_time_millis: 180, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4883, f_measure: 0.5534, kappa: -0.0589, kb_relative_information_score: -335.3671, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5415, predictive_accuracy: 0.5701, prior_entropy: 0.901, recall: 0.5701, relative_absolute_error: 1.0274, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5281, root_relative_squared_error: 1.136, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5111, f_measure: 0.5838, kappa: 0.0182, kb_relative_information_score: -41.2367, mean_absolute_error: 0.4131, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5757, predictive_accuracy: 0.5948, prior_entropy: 0.901, recall: 0.5948, relative_absolute_error: 0.9549, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5873, root_relative_squared_error: 1.2633, scimark_benchmark: 940.3347, usercpu_time_millis: 2130, usercpu_time_millis_training: 2130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5261, f_measure: 0.5761, kappa: -0.009, kb_relative_information_score: -105.2937, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5637, predictive_accuracy: 0.5964, prior_entropy: 0.901, recall: 0.5964, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5279, root_relative_squared_error: 1.1356, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4852, f_measure: 0.5651, kappa: -0.0211, kb_relative_information_score: -87.8734, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5471, predictive_accuracy: 0.6538, prior_entropy: 0.901, recall: 0.6538, relative_absolute_error: 1.0111, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0693, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4838, f_measure: 0.5649, kappa: -0.0212, kb_relative_information_score: -88.0784, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5468, predictive_accuracy: 0.6541, prior_entropy: 0.901, recall: 0.6541, relative_absolute_error: 1.0111, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0697, scimark_benchmark: 1280.6338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5261, f_measure: 0.5761, kappa: -0.009, kb_relative_information_score: -105.2937, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5637, predictive_accuracy: 0.5964, prior_entropy: 0.901, recall: 0.5964, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5279, root_relative_squared_error: 1.1356, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5261, f_measure: 0.5761, kappa: -0.009, kb_relative_information_score: -105.2937, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5637, predictive_accuracy: 0.5964, prior_entropy: 0.901, recall: 0.5964, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5279, root_relative_squared_error: 1.1356, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5261, f_measure: 0.5761, kappa: -0.009, kb_relative_information_score: -105.2937, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5637, predictive_accuracy: 0.5964, prior_entropy: 0.901, recall: 0.5964, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5279, root_relative_squared_error: 1.1356, scimark_benchmark: 1352.1128, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5111, f_measure: 0.5838, kappa: 0.0182, kb_relative_information_score: -41.2367, mean_absolute_error: 0.4131, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5757, predictive_accuracy: 0.5948, prior_entropy: 0.901, recall: 0.5948, relative_absolute_error: 0.9549, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5873, root_relative_squared_error: 1.2633, scimark_benchmark: 1335.2029, usercpu_time_millis: 2290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.5745, kappa: 0.0105, kb_relative_information_score: -245.0685, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5723, predictive_accuracy: 0.5769, prior_entropy: 0.901, recall: 0.5769, relative_absolute_error: 1.0102, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5926, root_relative_squared_error: 1.2746, scimark_benchmark: 940.3347, usercpu_time_millis: 670, usercpu_time_millis_testing: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.494, f_measure: 0.5804, kappa: -0.0051, kb_relative_information_score: -464.0696, mean_absolute_error: 0.4597, mean_prior_absolute_error: 0.4326, number_of_instances: 3640, precision: 0.5649, predictive_accuracy: 0.6305, prior_entropy: 0.901, recall: 0.6305, relative_absolute_error: 1.0626, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4915, root_relative_squared_error: 1.0572, scimark_benchmark: 1347.917, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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