OpenML
Supervised Classification on fri_c2_1000_10

Supervised Classification on fri_c2_1000_10

Task 3776 Supervised Classification fri_c2_1000_10 447 runs submitted
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  • 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: 0.8242, f_measure: 0.737, kappa: 0.4604, kb_relative_information_score: 318.5822, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7371, predictive_accuracy: 0.737, prior_entropy: 0.9815, recall: 0.737, relative_absolute_error: 0.705, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8313, scimark_benchmark: 880.8372, usercpu_time_millis: 26150, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 26000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.847, kappa: 0.6859, kb_relative_information_score: 626.4495, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.847, predictive_accuracy: 0.847, prior_entropy: 0.9815, recall: 0.847, relative_absolute_error: 0.386, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6516, scimark_benchmark: 1325.942, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8986, kappa: 0.7913, kb_relative_information_score: 698.16, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.899, predictive_accuracy: 0.899, prior_entropy: 0.9815, recall: 0.899, relative_absolute_error: 0.3203, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.297, root_relative_squared_error: 0.6018, scimark_benchmark: 1372.2145, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9168, kappa: 0.8289, kb_relative_information_score: 697.3714, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.9169, predictive_accuracy: 0.917, prior_entropy: 0.9815, recall: 0.917, relative_absolute_error: 0.3326, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.5092, scimark_benchmark: 1319.5177, usercpu_time_millis: 340, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.855, kappa: 0.7025, kb_relative_information_score: 698.962, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.855, predictive_accuracy: 0.855, prior_entropy: 0.9815, recall: 0.855, relative_absolute_error: 0.2976, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7715, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.8827, kappa: 0.7587, kb_relative_information_score: 705.1925, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8828, predictive_accuracy: 0.883, prior_entropy: 0.9815, recall: 0.883, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6347, scimark_benchmark: 1319.9043, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.9066, kappa: 0.8075, kb_relative_information_score: 745.1354, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.9073, predictive_accuracy: 0.907, prior_entropy: 0.9815, recall: 0.907, relative_absolute_error: 0.2732, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2883, root_relative_squared_error: 0.584, scimark_benchmark: 1355.7054, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.8404, kappa: 0.6733, kb_relative_information_score: 667.8279, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8412, predictive_accuracy: 0.84, prior_entropy: 0.9815, recall: 0.84, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8104, scimark_benchmark: 1330.2678, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5072, f_measure: 0.3522, kappa: 0.0125, kb_relative_information_score: -154.1109, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.5337, predictive_accuracy: 0.444, prior_entropy: 0.9815, recall: 0.444, relative_absolute_error: 1.1412, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5108, scimark_benchmark: 1363.454, usercpu_time_millis: 340, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8752, kappa: 0.7428, kb_relative_information_score: 714.2432, mean_absolute_error: 0.1416, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8763, predictive_accuracy: 0.876, prior_entropy: 0.9815, recall: 0.876, relative_absolute_error: 0.2907, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.6546, scimark_benchmark: 1465.2979, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.7773, kappa: 0.5408, kb_relative_information_score: 541.2161, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7778, predictive_accuracy: 0.779, prior_entropy: 0.9815, recall: 0.779, relative_absolute_error: 0.4536, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9525, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8866, kappa: 0.7668, kb_relative_information_score: 765.3813, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8868, predictive_accuracy: 0.887, prior_entropy: 0.9815, recall: 0.887, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.6811, scimark_benchmark: 1353.5686, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4258, kb_relative_information_score: -0.0097, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.3364, predictive_accuracy: 0.58, prior_entropy: 0.9815, recall: 0.58, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8997, kappa: 0.7938, kb_relative_information_score: 769.1659, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8999, predictive_accuracy: 0.9, prior_entropy: 0.9815, recall: 0.9, relative_absolute_error: 0.2358, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.6187, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.7983, kappa: 0.5848, kb_relative_information_score: 559.8242, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7982, predictive_accuracy: 0.799, prior_entropy: 0.9815, recall: 0.799, relative_absolute_error: 0.4418, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8669, scimark_benchmark: 927.0753, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.7933, kappa: 0.5747, kb_relative_information_score: 431.1911, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7932, predictive_accuracy: 0.794, prior_entropy: 0.9815, recall: 0.794, relative_absolute_error: 0.594, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8118, scimark_benchmark: 945.6434, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.7905, kappa: 0.5692, kb_relative_information_score: 403.1977, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7903, predictive_accuracy: 0.791, prior_entropy: 0.9815, recall: 0.791, relative_absolute_error: 0.6271, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.394, root_relative_squared_error: 0.7983, scimark_benchmark: 941.7954, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.7904, kappa: 0.5689, kb_relative_information_score: 393.7437, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7902, predictive_accuracy: 0.791, prior_entropy: 0.9815, recall: 0.791, relative_absolute_error: 0.6379, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7946, scimark_benchmark: 945.6434, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.7904, kappa: 0.5689, kb_relative_information_score: 393.7437, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7902, predictive_accuracy: 0.791, prior_entropy: 0.9815, recall: 0.791, relative_absolute_error: 0.6379, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7946, scimark_benchmark: 894.7455, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.8857, kappa: 0.7649, kb_relative_information_score: 761.0692, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8858, predictive_accuracy: 0.886, prior_entropy: 0.9815, recall: 0.886, relative_absolute_error: 0.2374, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3063, root_relative_squared_error: 0.6207, scimark_benchmark: 936.7115, usercpu_time_millis: 740, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8524, kappa: 0.6962, kb_relative_information_score: 695.3641, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8526, predictive_accuracy: 0.853, prior_entropy: 0.9815, recall: 0.853, relative_absolute_error: 0.3025, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7054, scimark_benchmark: 943.2817, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.816, kappa: 0.6208, kb_relative_information_score: 633.4514, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8163, predictive_accuracy: 0.817, prior_entropy: 0.9815, recall: 0.817, relative_absolute_error: 0.3617, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7792, scimark_benchmark: 911.3823, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.7961, kappa: 0.5816, kb_relative_information_score: 582.4972, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7961, predictive_accuracy: 0.796, prior_entropy: 0.9815, recall: 0.796, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8459, scimark_benchmark: 922.9039, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.7848, kappa: 0.558, kb_relative_information_score: 547.3914, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7847, predictive_accuracy: 0.785, prior_entropy: 0.9815, recall: 0.785, relative_absolute_error: 0.4496, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.8993, scimark_benchmark: 938.4285, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9127, kappa: 0.8203, kb_relative_information_score: 770.2054, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.9131, predictive_accuracy: 0.913, prior_entropy: 0.9815, recall: 0.913, relative_absolute_error: 0.239, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.5076, scimark_benchmark: 933.8635, usercpu_time_millis: 520, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.8857, kappa: 0.7649, kb_relative_information_score: 683.2148, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8858, predictive_accuracy: 0.886, prior_entropy: 0.9815, recall: 0.886, relative_absolute_error: 0.3358, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.5623, scimark_benchmark: 945.6434, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.871, kappa: 0.7351, kb_relative_information_score: 615.5349, mean_absolute_error: 0.2001, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.871, predictive_accuracy: 0.871, prior_entropy: 0.9815, recall: 0.871, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.6053, scimark_benchmark: 947.9494, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.8371, kappa: 0.6644, kb_relative_information_score: 536.8211, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8376, predictive_accuracy: 0.838, prior_entropy: 0.9815, recall: 0.838, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.6629, scimark_benchmark: 931.2336, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4258, kb_relative_information_score: -0.0097, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.3364, predictive_accuracy: 0.58, prior_entropy: 0.9815, recall: 0.58, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.6849, kappa: 0.4006, kb_relative_information_score: 221.9271, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.745, predictive_accuracy: 0.688, prior_entropy: 0.9815, recall: 0.688, relative_absolute_error: 0.7979, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9057, scimark_benchmark: 943.2745, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8352, kappa: 0.6605, kb_relative_information_score: 506.3221, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8355, predictive_accuracy: 0.836, prior_entropy: 0.9815, recall: 0.836, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7067, scimark_benchmark: 930.32, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.915, kappa: 0.8257, kb_relative_information_score: 736.9223, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.9151, predictive_accuracy: 0.915, prior_entropy: 0.9815, recall: 0.915, relative_absolute_error: 0.2814, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.5176, scimark_benchmark: 929.566, 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: 0.4258, kb_relative_information_score: -0.0097, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.3364, predictive_accuracy: 0.58, prior_entropy: 0.9815, recall: 0.58, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1, scimark_benchmark: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.8381, kappa: 0.6664, kb_relative_information_score: 538.3775, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8386, predictive_accuracy: 0.839, prior_entropy: 0.9815, recall: 0.839, relative_absolute_error: 0.493, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.6609, scimark_benchmark: 911.0478, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4258, kb_relative_information_score: 128.1711, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.3364, predictive_accuracy: 0.58, prior_entropy: 0.9815, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8997, kappa: 0.7938, kb_relative_information_score: 769.1659, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8999, predictive_accuracy: 0.9, prior_entropy: 0.9815, recall: 0.9, relative_absolute_error: 0.2358, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.6187, scimark_benchmark: 929.0255, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.9015, kappa: 0.797, kb_relative_information_score: 433.4721, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.9024, predictive_accuracy: 0.902, prior_entropy: 0.9815, recall: 0.902, relative_absolute_error: 0.6283, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.6853, scimark_benchmark: 947.9494, usercpu_time_millis: 1940, usercpu_time_millis_training: 1940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.79, kappa: 0.569, kb_relative_information_score: 363.3267, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.79, predictive_accuracy: 0.79, prior_entropy: 0.9815, recall: 0.79, relative_absolute_error: 0.6789, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8193, scimark_benchmark: 901.0726, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.8325, kappa: 0.6555, kb_relative_information_score: 602.846, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8325, predictive_accuracy: 0.833, prior_entropy: 0.9815, recall: 0.833, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7089, scimark_benchmark: 932.3943, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.7497, kappa: 0.488, kb_relative_information_score: 461.8914, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7509, predictive_accuracy: 0.749, prior_entropy: 0.9815, recall: 0.749, relative_absolute_error: 0.5378, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.433, root_relative_squared_error: 0.8772, scimark_benchmark: 945.6434, usercpu_time_millis: 1130, usercpu_time_millis_testing: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.7439, kappa: 0.4768, kb_relative_information_score: 462.1386, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7457, predictive_accuracy: 0.743, prior_entropy: 0.9815, recall: 0.743, relative_absolute_error: 0.5381, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8598, scimark_benchmark: 945.6434, usercpu_time_millis: 4530, usercpu_time_millis_testing: 4520, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9177, kappa: 0.8307, kb_relative_information_score: 831.927, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.9181, predictive_accuracy: 0.918, prior_entropy: 0.9815, recall: 0.918, relative_absolute_error: 0.1659, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.5715, scimark_benchmark: 889.9795, usercpu_time_millis: 3260, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.915, kappa: 0.8254, kb_relative_information_score: 809.3523, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.9149, predictive_accuracy: 0.915, prior_entropy: 0.9815, recall: 0.915, relative_absolute_error: 0.1895, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.5675, scimark_benchmark: 942.6953, usercpu_time_millis: 830, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.7165, kappa: 0.4232, kb_relative_information_score: 293.2386, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7205, predictive_accuracy: 0.715, prior_entropy: 0.9815, recall: 0.715, relative_absolute_error: 0.7299, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8841, scimark_benchmark: 948.1045, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.898, kappa: 0.7906, kb_relative_information_score: 773.0281, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.898, predictive_accuracy: 0.898, prior_entropy: 0.9815, recall: 0.898, relative_absolute_error: 0.2284, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.5859, scimark_benchmark: 938.9865, usercpu_time_millis: 610, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.847, kappa: 0.6859, kb_relative_information_score: 626.4495, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.847, predictive_accuracy: 0.847, prior_entropy: 0.9815, recall: 0.847, relative_absolute_error: 0.386, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6516, scimark_benchmark: 923.9763, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.7293, kappa: 0.4415, kb_relative_information_score: 443.6628, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7299, predictive_accuracy: 0.732, prior_entropy: 0.9815, recall: 0.732, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.0489, scimark_benchmark: 939.0833, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,

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