OpenML
Supervised Classification on analcatdata_birthday

Supervised Classification on analcatdata_birthday

Task 4536 Supervised Classification analcatdata_birthday 221 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.842, kappa: 0.3803, kb_relative_information_score: 538.6419, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8466, predictive_accuracy: 0.8381, prior_entropy: 0.6026, recall: 0.8381, relative_absolute_error: 0.7205, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.8748, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8757, kappa: 0.4854, kb_relative_information_score: 1185.4044, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8731, predictive_accuracy: 0.8795, prior_entropy: 0.6026, recall: 0.8795, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.7642, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.8737, kappa: 0.4778, kb_relative_information_score: 1164.1739, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8711, predictive_accuracy: 0.8773, prior_entropy: 0.6026, recall: 0.8773, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.8233, scimark_benchmark: 934.3687, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.536, f_measure: 0.8069, kappa: 0.1068, kb_relative_information_score: 912.3176, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8015, predictive_accuracy: 0.8507, prior_entropy: 0.6026, recall: 0.8507, relative_absolute_error: 0.5982, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.3864, root_relative_squared_error: 1.0968, scimark_benchmark: 944.1067, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.536, f_measure: 0.8069, kappa: 0.1068, kb_relative_information_score: 912.3176, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8015, predictive_accuracy: 0.8507, prior_entropy: 0.6026, recall: 0.8507, relative_absolute_error: 0.5982, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.3864, root_relative_squared_error: 1.0968, scimark_benchmark: 904.0772, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.797, kappa: 0.1087, kb_relative_information_score: 525.6418, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.7818, predictive_accuracy: 0.8195, prior_entropy: 0.6026, recall: 0.8195, relative_absolute_error: 0.6617, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.9104, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8529, kappa: 0.4261, kb_relative_information_score: 684.5168, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8583, predictive_accuracy: 0.8485, prior_entropy: 0.6026, recall: 0.8485, relative_absolute_error: 0.6727, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.9277, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8327, kappa: 0.3109, kb_relative_information_score: 605.2017, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8293, predictive_accuracy: 0.8367, prior_entropy: 0.6026, recall: 0.8367, relative_absolute_error: 0.6751, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.32, root_relative_squared_error: 0.9084, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.8495, kappa: 0.3486, kb_relative_information_score: 782.3905, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8441, predictive_accuracy: 0.8627, prior_entropy: 0.6026, recall: 0.8627, relative_absolute_error: 0.6447, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.8806, scimark_benchmark: 934.3687, usercpu_time_millis: 1220, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.8891, kappa: 0.5273, kb_relative_information_score: 1326.3148, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8874, predictive_accuracy: 0.8964, prior_entropy: 0.6026, recall: 0.8964, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.8329, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.536, f_measure: 0.8069, kappa: 0.1068, kb_relative_information_score: 912.3176, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8015, predictive_accuracy: 0.8507, prior_entropy: 0.6026, recall: 0.8507, relative_absolute_error: 0.5982, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.3864, root_relative_squared_error: 1.0968, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.536, f_measure: 0.8069, kappa: 0.1068, kb_relative_information_score: 912.3176, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8015, predictive_accuracy: 0.8507, prior_entropy: 0.6026, recall: 0.8507, relative_absolute_error: 0.5982, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.3864, root_relative_squared_error: 1.0968, scimark_benchmark: 932.438, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.797, kappa: 0.1087, kb_relative_information_score: 525.6418, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.7818, predictive_accuracy: 0.8195, prior_entropy: 0.6026, recall: 0.8195, relative_absolute_error: 0.6617, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.9104, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8529, kappa: 0.4261, kb_relative_information_score: 684.5168, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8583, predictive_accuracy: 0.8485, prior_entropy: 0.6026, recall: 0.8485, relative_absolute_error: 0.6727, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.9277, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8529, kappa: 0.4261, kb_relative_information_score: 684.5168, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8583, predictive_accuracy: 0.8485, prior_entropy: 0.6026, recall: 0.8485, relative_absolute_error: 0.6727, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.9277, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.8362, kappa: 0.2934, kb_relative_information_score: 697.1781, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8289, predictive_accuracy: 0.8499, prior_entropy: 0.6026, recall: 0.8499, relative_absolute_error: 0.6782, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.8689, scimark_benchmark: 947.1781, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.842, kappa: 0.3803, kb_relative_information_score: 538.6419, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8466, predictive_accuracy: 0.8381, prior_entropy: 0.6026, recall: 0.8381, relative_absolute_error: 0.7205, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.8748, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8757, kappa: 0.4854, kb_relative_information_score: 1185.4044, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8731, predictive_accuracy: 0.8795, prior_entropy: 0.6026, recall: 0.8795, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.7642, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.8737, kappa: 0.4778, kb_relative_information_score: 1164.1739, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8711, predictive_accuracy: 0.8773, prior_entropy: 0.6026, recall: 0.8773, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.8233, scimark_benchmark: 938.1282, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.536, f_measure: 0.8069, kappa: 0.1068, kb_relative_information_score: 912.3176, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8015, predictive_accuracy: 0.8507, prior_entropy: 0.6026, recall: 0.8507, relative_absolute_error: 0.5982, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.3864, root_relative_squared_error: 1.0968, scimark_benchmark: 932.438, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.536, f_measure: 0.8069, kappa: 0.1068, kb_relative_information_score: 912.3176, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8015, predictive_accuracy: 0.8507, prior_entropy: 0.6026, recall: 0.8507, relative_absolute_error: 0.5982, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.3864, root_relative_squared_error: 1.0968, scimark_benchmark: 730.6551, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8529, kappa: 0.4261, kb_relative_information_score: 684.5168, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8583, predictive_accuracy: 0.8485, prior_entropy: 0.6026, recall: 0.8485, relative_absolute_error: 0.6727, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.9277, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8529, kappa: 0.4261, kb_relative_information_score: 684.5168, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8583, predictive_accuracy: 0.8485, prior_entropy: 0.6026, recall: 0.8485, relative_absolute_error: 0.6727, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.9277, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8327, kappa: 0.3109, kb_relative_information_score: 605.2017, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8293, predictive_accuracy: 0.8367, prior_entropy: 0.6026, recall: 0.8367, relative_absolute_error: 0.6751, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.32, root_relative_squared_error: 0.9084, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.8495, kappa: 0.3486, kb_relative_information_score: 782.3905, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8441, predictive_accuracy: 0.8627, prior_entropy: 0.6026, recall: 0.8627, relative_absolute_error: 0.6447, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.8806, scimark_benchmark: 906.0979, usercpu_time_millis: 600, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8529, kappa: 0.4261, kb_relative_information_score: 684.5168, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8583, predictive_accuracy: 0.8485, prior_entropy: 0.6026, recall: 0.8485, relative_absolute_error: 0.6727, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.9277, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.8362, kappa: 0.2934, kb_relative_information_score: 697.1781, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8289, predictive_accuracy: 0.8499, prior_entropy: 0.6026, recall: 0.8499, relative_absolute_error: 0.6782, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.8689, scimark_benchmark: 936.3213, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.904, kappa: 0.5869, kb_relative_information_score: 1211.4699, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.9051, predictive_accuracy: 0.9115, prior_entropy: 0.6026, recall: 0.9115, relative_absolute_error: 0.589, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.7111, scimark_benchmark: 908.9569, usercpu_time_millis: 5360, usercpu_time_millis_testing: 1900, usercpu_time_millis_training: 3460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8977, kappa: 0.5596, kb_relative_information_score: 1234.1586, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8981, predictive_accuracy: 0.9058, prior_entropy: 0.6026, recall: 0.9058, relative_absolute_error: 0.5838, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.709, scimark_benchmark: 932.438, usercpu_time_millis: 1540, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 1200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.8978, kappa: 0.5597, kb_relative_information_score: 1200.2388, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8985, predictive_accuracy: 0.906, prior_entropy: 0.6026, recall: 0.906, relative_absolute_error: 0.5895, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.719, scimark_benchmark: 931.9419, usercpu_time_millis: 740, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.8981, kappa: 0.5635, kb_relative_information_score: 1267.8493, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8979, predictive_accuracy: 0.9055, prior_entropy: 0.6026, recall: 0.9055, relative_absolute_error: 0.5749, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.716, scimark_benchmark: 939.3535, usercpu_time_millis: 370, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.8872, kappa: 0.5171, kb_relative_information_score: 1210.1874, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8858, predictive_accuracy: 0.8953, prior_entropy: 0.6026, recall: 0.8953, relative_absolute_error: 0.5786, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.261, root_relative_squared_error: 0.7407, scimark_benchmark: 905.3417, usercpu_time_millis: 170, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8595, kappa: 0.3753, kb_relative_information_score: 1092.4909, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.861, predictive_accuracy: 0.8781, prior_entropy: 0.6026, recall: 0.8781, relative_absolute_error: 0.5482, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.7856, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8595, kappa: 0.3753, kb_relative_information_score: 1092.4909, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.861, predictive_accuracy: 0.8781, prior_entropy: 0.6026, recall: 0.8781, relative_absolute_error: 0.5482, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.7856, scimark_benchmark: 930.0565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8595, kappa: 0.3753, kb_relative_information_score: 1092.4909, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.861, predictive_accuracy: 0.8781, prior_entropy: 0.6026, recall: 0.8781, relative_absolute_error: 0.5482, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.7856, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8595, kappa: 0.3753, kb_relative_information_score: 1092.4909, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.861, predictive_accuracy: 0.8781, prior_entropy: 0.6026, recall: 0.8781, relative_absolute_error: 0.5482, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.7856, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8595, kappa: 0.3753, kb_relative_information_score: 1092.4909, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.861, predictive_accuracy: 0.8781, prior_entropy: 0.6026, recall: 0.8781, relative_absolute_error: 0.5482, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.7856, scimark_benchmark: 936.1714,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.8891, kappa: 0.5273, kb_relative_information_score: 1326.3148, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8874, predictive_accuracy: 0.8964, prior_entropy: 0.6026, recall: 0.8964, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.8329, scimark_benchmark: 1340.9749, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.8495, kappa: 0.3486, kb_relative_information_score: 782.3905, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8441, predictive_accuracy: 0.8627, prior_entropy: 0.6026, recall: 0.8627, relative_absolute_error: 0.6447, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.8806, scimark_benchmark: 1313.9976, usercpu_time_millis: 490, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 450,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.797, kappa: 0.1087, kb_relative_information_score: 525.6418, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.7818, predictive_accuracy: 0.8195, prior_entropy: 0.6026, recall: 0.8195, relative_absolute_error: 0.6617, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.9104, scimark_benchmark: 1350.7721,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8529, kappa: 0.4261, kb_relative_information_score: 684.5168, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8583, predictive_accuracy: 0.8485, prior_entropy: 0.6026, recall: 0.8485, relative_absolute_error: 0.6727, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.9277, scimark_benchmark: 1337.1928,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.8891, kappa: 0.5273, kb_relative_information_score: 1326.3148, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8874, predictive_accuracy: 0.8964, prior_entropy: 0.6026, recall: 0.8964, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.8329, scimark_benchmark: 1334.863, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.8362, kappa: 0.2934, kb_relative_information_score: 697.1781, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8289, predictive_accuracy: 0.8499, prior_entropy: 0.6026, recall: 0.8499, relative_absolute_error: 0.6782, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.8689, scimark_benchmark: 1335.5309, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.842, kappa: 0.3803, kb_relative_information_score: 538.6419, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8466, predictive_accuracy: 0.8381, prior_entropy: 0.6026, recall: 0.8381, relative_absolute_error: 0.7205, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.8748, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8757, kappa: 0.4854, kb_relative_information_score: 1185.4044, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8731, predictive_accuracy: 0.8795, prior_entropy: 0.6026, recall: 0.8795, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.7642, scimark_benchmark: 1320.8283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8737, kappa: 0.4778, kb_relative_information_score: 1164.1791, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.2496, number_of_instances: 3650, precision: 0.8711, predictive_accuracy: 0.8773, prior_entropy: 0.6026, recall: 0.8773, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.3523, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.8233, scimark_benchmark: 1322.806, usercpu_time_millis: 50, usercpu_time_millis_training: 50,

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