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OpenML
OpenML
Supervised Classification on fri_c0_250_10

Supervised Classification on fri_c0_250_10

Task 3629 Supervised Classification fri_c0_250_10 567 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.7676, kappa: 0.536, kb_relative_information_score: 102.7677, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7697, predictive_accuracy: 0.768, prior_entropy: 1, recall: 0.768, relative_absolute_error: 0.6065, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.8667, scimark_benchmark: 1363.454, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.7781, kappa: 0.56, kb_relative_information_score: 140, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7898, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.44, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9381, scimark_benchmark: 1318.1432, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.576, f_measure: 0.5758, kappa: 0.152, kb_relative_information_score: 38, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.5762, predictive_accuracy: 0.576, prior_entropy: 1, recall: 0.576, relative_absolute_error: 0.848, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6512, root_relative_squared_error: 1.3023, scimark_benchmark: 887.6719, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 152, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8042, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8854, scimark_benchmark: 1386.5717, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.7959, kappa: 0.592, kb_relative_information_score: 112.6599, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7965, predictive_accuracy: 0.796, prior_entropy: 1, recall: 0.796, relative_absolute_error: 0.5786, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.7521, scimark_benchmark: 938.343, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.812, kappa: 0.624, kb_relative_information_score: 156, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.812, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8672, scimark_benchmark: 939.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.836, kappa: 0.672, kb_relative_information_score: 132.0961, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.836, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.349, root_relative_squared_error: 0.6979, scimark_benchmark: 938.343, usercpu_time_millis: 2580, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8582, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 125.4577, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.832, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.5313, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7582, scimark_benchmark: 1372.2145, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8519, kappa: 0.704, kb_relative_information_score: 129.3521, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8531, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.5212, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.6738, scimark_benchmark: 1318.1432, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.756, kappa: 0.512, kb_relative_information_score: 128, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.756, predictive_accuracy: 0.756, prior_entropy: 1, recall: 0.756, relative_absolute_error: 0.488, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9879, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.788, kappa: 0.576, kb_relative_information_score: 111.9545, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7882, predictive_accuracy: 0.788, prior_entropy: 1, recall: 0.788, relative_absolute_error: 0.5858, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8344, scimark_benchmark: 1315.3881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7759, kappa: 0.552, kb_relative_information_score: 118.5138, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7763, predictive_accuracy: 0.776, prior_entropy: 1, recall: 0.776, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.8589, scimark_benchmark: 1354.2491, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.7799, kappa: 0.56, kb_relative_information_score: 140, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7804, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.44, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9381, scimark_benchmark: 825.5282, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.3763, kappa: 0.04, kb_relative_information_score: 10, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7551, predictive_accuracy: 0.52, prior_entropy: 1, recall: 0.52, relative_absolute_error: 0.96, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3856, scimark_benchmark: 1292.2426, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7919, kappa: 0.584, kb_relative_information_score: 134.6561, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7923, predictive_accuracy: 0.792, prior_entropy: 1, recall: 0.792, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.431, root_relative_squared_error: 0.862, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.6834, kappa: 0.368, kb_relative_information_score: 92, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.6854, predictive_accuracy: 0.684, prior_entropy: 1, recall: 0.684, relative_absolute_error: 0.632, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.1243, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.7919, kappa: 0.584, kb_relative_information_score: 146, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7927, predictive_accuracy: 0.792, prior_entropy: 1, recall: 0.792, relative_absolute_error: 0.416, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9121, scimark_benchmark: 1353.5686, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.48, kappa: -0.04, kb_relative_information_score: -0.0634, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.48, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 1358.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 140.3046, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8001, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.4512, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8601, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.836, kappa: 0.672, kb_relative_information_score: 168.5974, mean_absolute_error: 0.1629, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8362, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.3259, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.7702, scimark_benchmark: 931.2336, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.848, kappa: 0.696, kb_relative_information_score: 173.4474, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8481, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.7388, scimark_benchmark: 945.6434, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.844, kappa: 0.688, kb_relative_information_score: 173.2938, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8442, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.3077, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7137, scimark_benchmark: 941.7954, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 164.4885, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.3499, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.6889, scimark_benchmark: 923.7642, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 164.4885, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.3499, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.6889, scimark_benchmark: 894.7455, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.848, kappa: 0.696, kb_relative_information_score: 172.0192, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7426, scimark_benchmark: 936.6206, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.856, kappa: 0.712, kb_relative_information_score: 169.3456, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8564, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.3273, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.7316, scimark_benchmark: 943.2817, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8078, kappa: 0.616, kb_relative_information_score: 156.4014, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8093, predictive_accuracy: 0.808, prior_entropy: 1, recall: 0.808, relative_absolute_error: 0.3762, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7623, scimark_benchmark: 942.1229, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.7826, kappa: 0.568, kb_relative_information_score: 131.8599, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7915, predictive_accuracy: 0.784, prior_entropy: 1, recall: 0.784, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.8528, scimark_benchmark: 922.9039, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7059, kappa: 0.424, kb_relative_information_score: 104.538, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7312, predictive_accuracy: 0.712, prior_entropy: 1, recall: 0.712, relative_absolute_error: 0.5832, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4659, root_relative_squared_error: 0.9317, scimark_benchmark: 938.4285, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 165.1233, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8321, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.3415, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.7377, scimark_benchmark: 936.6206, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 164.6445, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.348, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.6951, scimark_benchmark: 924.6116, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.844, kappa: 0.688, kb_relative_information_score: 158.8871, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.3768, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.6902, scimark_benchmark: 924.6116, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.82, kappa: 0.64, kb_relative_information_score: 144.1212, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.4398, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.7009, scimark_benchmark: 947.9494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 130.7972, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8282, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.7202, scimark_benchmark: 929.566, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, build_cpu_time: 0.0989, build_memory: 1007557654.4, f_measure: 0.8639, kappa: 0.728, kb_relative_information_score: 130.0753, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8648, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.5196, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.6702, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7481, build_cpu_time: 0.1222, build_memory: 248514964, f_measure: 0.7, kappa: 0.4, kb_relative_information_score: 100.8207, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.5948, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5344, root_relative_squared_error: 1.0688, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, build_cpu_time: 0.0638, build_memory: 1588438588, f_measure: 0.708, kappa: 0.416, kb_relative_information_score: 101.6327, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7081, predictive_accuracy: 0.708, prior_entropy: 1, recall: 0.708, relative_absolute_error: 0.5953, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5306, root_relative_squared_error: 1.0612, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, build_cpu_time: 0.0481, build_memory: 1300990944, f_measure: 0.6795, kappa: 0.36, kb_relative_information_score: 87.4872, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.6812, predictive_accuracy: 0.68, prior_entropy: 1, recall: 0.68, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5354, root_relative_squared_error: 1.0707, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7641, build_cpu_time: 0.0163, build_memory: 1001815510.4, f_measure: 0.6751, kappa: 0.352, kb_relative_information_score: 89.6294, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.6779, predictive_accuracy: 0.676, prior_entropy: 1, recall: 0.676, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5078, root_relative_squared_error: 1.0156, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7535, build_cpu_time: 0.0075, build_memory: 182277280, f_measure: 0.6836, kappa: 0.368, kb_relative_information_score: 85.1205, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.685, predictive_accuracy: 0.684, prior_entropy: 1, recall: 0.684, relative_absolute_error: 0.6672, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9693, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, build_cpu_time: 0.0236, build_memory: 850062906.4, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 160.9461, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8323, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.3635, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.6982, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, build_cpu_time: 0.0331, build_memory: 1321276356, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 164.4885, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.3499, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.6889, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, build_cpu_time: 0.0326, build_memory: 1187868821.6, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 164.4885, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.3499, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.6889, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, build_cpu_time: 0.0325, build_memory: 901547804.8, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 164.4885, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.3499, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.6889, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, build_cpu_time: 0.0355, build_memory: 3165394028, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 164.4885, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.3499, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.6889, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, build_cpu_time: 4.0253, build_memory: 84066420.8, f_measure: 0.7957, kappa: 0.592, kb_relative_information_score: 147.315, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7975, predictive_accuracy: 0.796, prior_entropy: 1, recall: 0.796, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8003, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, build_cpu_time: 9.4128, build_memory: 870263417.6, f_measure: 0.816, kappa: 0.632, kb_relative_information_score: 159.1236, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8161, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.3648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.7891, scimark_benchmark: 940.3132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, build_cpu_time: 16.0905, build_memory: 644236604, f_measure: 0.8239, kappa: 0.648, kb_relative_information_score: 162.8925, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8247, predictive_accuracy: 0.824, prior_entropy: 1, recall: 0.824, relative_absolute_error: 0.3485, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.793, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, build_cpu_time: 33.6573, build_memory: 709460968, f_measure: 0.844, kappa: 0.688, kb_relative_information_score: 171.6945, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8442, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.3132, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7599, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, build_cpu_time: 15.7471, build_memory: 1240016509.6, f_measure: 0.8599, kappa: 0.72, kb_relative_information_score: 179.9999, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8611, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.28, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7483, scimark_benchmark: 938.6131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, build_cpu_time: 7.6865, build_memory: 1024917013.6, f_measure: 0.8599, kappa: 0.72, kb_relative_information_score: 179.0373, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8611, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.2845, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.375, root_relative_squared_error: 0.75, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, build_cpu_time: 3.9254, build_memory: 881666320.8, f_measure: 0.856, kappa: 0.712, kb_relative_information_score: 178.5081, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8561, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.2855, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7491, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, build_cpu_time: 1.7392, build_memory: 1345232664, f_measure: 0.8358, kappa: 0.672, kb_relative_information_score: 169.5985, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8378, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.3216, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7779, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, build_cpu_time: 0.94, build_memory: 847171201.6, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 153.4938, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8042, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8472, scimark_benchmark: 920.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, build_cpu_time: 0.2122, build_memory: 429553113.6, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 149.9115, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8042, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8334, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, build_cpu_time: 0.3991, build_memory: 314633330.4, f_measure: 0.844, kappa: 0.688, kb_relative_information_score: 168.3103, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.3292, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.7821, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, build_cpu_time: 0.9777, build_memory: 403243168, f_measure: 0.856, kappa: 0.712, kb_relative_information_score: 177.6884, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7407, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8836, build_cpu_time: 1.559, build_memory: 432229018.4, f_measure: 0.856, kappa: 0.712, kb_relative_information_score: 178.4134, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.2862, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.7454, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, build_cpu_time: 3.4424, build_memory: 369217671.2, f_measure: 0.86, kappa: 0.72, kb_relative_information_score: 179.6573, mean_absolute_error: 0.1409, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.2818, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.7481, scimark_benchmark: 922.3661,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs