OpenML
Supervised Classification on fri_c2_500_10

Supervised Classification on fri_c2_500_10

Task 3733 Supervised Classification fri_c2_500_10 563 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: 0.9539, f_measure: 0.8902, kappa: 0.7763, kb_relative_information_score: 356.5032, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8908, predictive_accuracy: 0.89, prior_entropy: 0.9851, recall: 0.89, relative_absolute_error: 0.3055, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.5614, scimark_benchmark: 916.6405, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.8705, kappa: 0.7342, kb_relative_information_score: 226.4595, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8748, predictive_accuracy: 0.872, prior_entropy: 0.9851, recall: 0.872, relative_absolute_error: 0.6024, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.6718, scimark_benchmark: 1320.6159, usercpu_time_millis: 270, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.8675, kappa: 0.7285, kb_relative_information_score: 325.762, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8679, predictive_accuracy: 0.868, prior_entropy: 0.9851, recall: 0.868, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6569, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.8962, kappa: 0.7886, kb_relative_information_score: 326.1303, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8969, predictive_accuracy: 0.896, prior_entropy: 0.9851, recall: 0.896, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.5759, scimark_benchmark: 1206.8386, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.8675, kappa: 0.7285, kb_relative_information_score: 325.762, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8679, predictive_accuracy: 0.868, prior_entropy: 0.9851, recall: 0.868, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6569, scimark_benchmark: 950.6776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.8962, kappa: 0.7886, kb_relative_information_score: 326.1303, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8969, predictive_accuracy: 0.896, prior_entropy: 0.9851, recall: 0.896, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.5759, scimark_benchmark: 1342.4239, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8979, kappa: 0.7913, kb_relative_information_score: 373.9766, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8979, predictive_accuracy: 0.898, prior_entropy: 0.9851, recall: 0.898, relative_absolute_error: 0.2609, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.6081, scimark_benchmark: 912.7324, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.8902, kappa: 0.7763, kb_relative_information_score: 356.5032, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8908, predictive_accuracy: 0.89, prior_entropy: 0.9851, recall: 0.89, relative_absolute_error: 0.3055, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.5614, scimark_benchmark: 906.4475, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9118, kappa: 0.8196, kb_relative_information_score: 358.1816, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.9119, predictive_accuracy: 0.912, prior_entropy: 0.9851, recall: 0.912, relative_absolute_error: 0.3077, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5119, scimark_benchmark: 883.2709, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.8962, kappa: 0.7886, kb_relative_information_score: 326.1303, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8969, predictive_accuracy: 0.896, prior_entropy: 0.9851, recall: 0.896, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.5759, scimark_benchmark: 1341.4232, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.8446, kappa: 0.6812, kb_relative_information_score: 305.2287, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8469, predictive_accuracy: 0.846, prior_entropy: 0.9851, recall: 0.846, relative_absolute_error: 0.4014, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3553, root_relative_squared_error: 0.7181, scimark_benchmark: 1318.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8655, kappa: 0.7245, kb_relative_information_score: 323.7618, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8659, predictive_accuracy: 0.866, prior_entropy: 0.9851, recall: 0.866, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6414, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8527, kappa: 0.6977, kb_relative_information_score: 319.3937, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8551, predictive_accuracy: 0.854, prior_entropy: 0.9851, recall: 0.854, relative_absolute_error: 0.3746, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6618, scimark_benchmark: 1341.4232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.8675, kappa: 0.7285, kb_relative_information_score: 325.762, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8679, predictive_accuracy: 0.868, prior_entropy: 0.9851, recall: 0.868, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6569, scimark_benchmark: 939.5088, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.8962, kappa: 0.7886, kb_relative_information_score: 326.1303, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8969, predictive_accuracy: 0.896, prior_entropy: 0.9851, recall: 0.896, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.5759, scimark_benchmark: 938.0414, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8921, kappa: 0.7797, kb_relative_information_score: 377.2014, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8922, predictive_accuracy: 0.892, prior_entropy: 0.9851, recall: 0.892, relative_absolute_error: 0.2512, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.6348, scimark_benchmark: 1283.7763, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.7975, kappa: 0.5857, kb_relative_information_score: 194.2622, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7974, predictive_accuracy: 0.798, prior_entropy: 0.9851, recall: 0.798, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8132, scimark_benchmark: 1168.3268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, f_measure: 0.7176, kappa: 0.4224, kb_relative_information_score: 209.3847, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7173, predictive_accuracy: 0.718, prior_entropy: 0.9851, recall: 0.718, relative_absolute_error: 0.5759, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.531, root_relative_squared_error: 1.0733, scimark_benchmark: 912.5006, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.7135, kappa: 0.4142, kb_relative_information_score: 115.1397, mean_absolute_error: 0.3876, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7132, predictive_accuracy: 0.714, prior_entropy: 0.9851, recall: 0.714, relative_absolute_error: 0.7915, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9019, scimark_benchmark: 1313.6093, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.7975, kappa: 0.5857, kb_relative_information_score: 200.0541, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7974, predictive_accuracy: 0.798, prior_entropy: 0.9851, recall: 0.798, relative_absolute_error: 0.6427, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8059, scimark_benchmark: 932.0242, usercpu_time_millis: 1160, usercpu_time_millis_testing: 1160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, f_measure: 0.6954, kappa: 0.3769, kb_relative_information_score: 186.0817, mean_absolute_error: 0.3049, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.695, predictive_accuracy: 0.696, prior_entropy: 0.9851, recall: 0.696, relative_absolute_error: 0.6226, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5501, root_relative_squared_error: 1.1119, scimark_benchmark: 1305.7138, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.8765, kappa: 0.7465, kb_relative_information_score: 374.2384, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8813, predictive_accuracy: 0.878, prior_entropy: 0.9851, recall: 0.878, relative_absolute_error: 0.2491, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.7059, scimark_benchmark: 1316.7714, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.7609, kappa: 0.5249, kb_relative_information_score: 186.5105, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7797, predictive_accuracy: 0.76, prior_entropy: 0.9851, recall: 0.76, relative_absolute_error: 0.6511, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8453, scimark_benchmark: 943.1756, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.8962, kappa: 0.7886, kb_relative_information_score: 326.1303, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8969, predictive_accuracy: 0.896, prior_entropy: 0.9851, recall: 0.896, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.5759, scimark_benchmark: 1182.3687, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.8902, kappa: 0.7763, kb_relative_information_score: 356.5032, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8908, predictive_accuracy: 0.89, prior_entropy: 0.9851, recall: 0.89, relative_absolute_error: 0.3055, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.5614, scimark_benchmark: 1318.5627, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.8602, kappa: 0.7129, kb_relative_information_score: 233.7068, mean_absolute_error: 0.2868, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8653, predictive_accuracy: 0.862, prior_entropy: 0.9851, recall: 0.862, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.6642, scimark_benchmark: 1311.9814, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.896, kappa: 0.7876, kb_relative_information_score: 363.5555, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9851, recall: 0.896, relative_absolute_error: 0.2838, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.5445, scimark_benchmark: 1309.4998, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.898, kappa: 0.7916, kb_relative_information_score: 345.4563, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8979, predictive_accuracy: 0.898, prior_entropy: 0.9851, recall: 0.898, relative_absolute_error: 0.3307, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.5479, scimark_benchmark: 1318.8785, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9159, kappa: 0.8282, kb_relative_information_score: 356.4612, mean_absolute_error: 0.1529, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.9159, predictive_accuracy: 0.916, prior_entropy: 0.9851, recall: 0.916, relative_absolute_error: 0.3123, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.5105, scimark_benchmark: 1314.9535, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.7796, kappa: 0.5491, kb_relative_information_score: 273.2655, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7794, predictive_accuracy: 0.78, prior_entropy: 0.9851, recall: 0.78, relative_absolute_error: 0.4493, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.469, root_relative_squared_error: 0.948, scimark_benchmark: 1449.4352, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.7951, kappa: 0.5873, kb_relative_information_score: 242.8899, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.803, predictive_accuracy: 0.794, prior_entropy: 0.9851, recall: 0.794, relative_absolute_error: 0.5321, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8525, scimark_benchmark: 1341.4524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.7951, kappa: 0.5873, kb_relative_information_score: 242.8899, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.803, predictive_accuracy: 0.794, prior_entropy: 0.9851, recall: 0.794, relative_absolute_error: 0.5321, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8525, scimark_benchmark: 1360.2771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.8675, kappa: 0.7285, kb_relative_information_score: 325.762, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8679, predictive_accuracy: 0.868, prior_entropy: 0.9851, recall: 0.868, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6569, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.8041, kappa: 0.6002, kb_relative_information_score: 185.8194, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8043, predictive_accuracy: 0.804, prior_entropy: 0.9851, recall: 0.804, relative_absolute_error: 0.6666, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8931, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.8041, kappa: 0.6002, kb_relative_information_score: 185.8852, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8043, predictive_accuracy: 0.804, prior_entropy: 0.9851, recall: 0.804, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.893, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.8033, kappa: 0.5973, kb_relative_information_score: 158.9088, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8033, predictive_accuracy: 0.804, prior_entropy: 0.9851, recall: 0.804, relative_absolute_error: 0.7159, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8318, scimark_benchmark: 1313.9606, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.7135, kappa: 0.4142, kb_relative_information_score: 115.1554, mean_absolute_error: 0.3875, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7132, predictive_accuracy: 0.714, prior_entropy: 0.9851, recall: 0.714, relative_absolute_error: 0.7914, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.9019, scimark_benchmark: 943.1756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, f_measure: 0.6954, kappa: 0.3769, kb_relative_information_score: 186.7173, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.695, predictive_accuracy: 0.696, prior_entropy: 0.9851, recall: 0.696, relative_absolute_error: 0.6208, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.1143, scimark_benchmark: 1307.3269, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.4163, kb_relative_information_score: -0.0708, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9851, recall: 0.572, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4948, root_relative_squared_error: 1, scimark_benchmark: 1329.0992,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.8902, kappa: 0.7763, kb_relative_information_score: 356.5032, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8908, predictive_accuracy: 0.89, prior_entropy: 0.9851, recall: 0.89, relative_absolute_error: 0.3055, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.5614, scimark_benchmark: 1367.8403, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.894, kappa: 0.7834, kb_relative_information_score: 378.6809, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8939, predictive_accuracy: 0.894, prior_entropy: 0.9851, recall: 0.894, relative_absolute_error: 0.2482, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.5368, scimark_benchmark: 1366.5423, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9099, kappa: 0.8159, kb_relative_information_score: 354.3476, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.9099, predictive_accuracy: 0.91, prior_entropy: 0.9851, recall: 0.91, relative_absolute_error: 0.3163, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2543, root_relative_squared_error: 0.5139, scimark_benchmark: 935.5075, usercpu_time_millis: 470, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 450,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.7764, kappa: 0.5441, kb_relative_information_score: 269.1442, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7769, predictive_accuracy: 0.776, prior_entropy: 0.9851, recall: 0.776, relative_absolute_error: 0.4574, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9565, scimark_benchmark: 1332.4146, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7159, f_measure: 0.7189, kappa: 0.4284, kb_relative_information_score: 209.3847, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7207, predictive_accuracy: 0.718, prior_entropy: 0.9851, recall: 0.718, relative_absolute_error: 0.5759, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.531, root_relative_squared_error: 1.0733, scimark_benchmark: 912.7324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.741, f_measure: 0.7961, kappa: 0.5839, kb_relative_information_score: 183.2559, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7963, predictive_accuracy: 0.796, prior_entropy: 0.9851, recall: 0.796, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.8995, scimark_benchmark: 899.5042, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.8545, kappa: 0.7013, kb_relative_information_score: 231.8318, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8578, predictive_accuracy: 0.856, prior_entropy: 0.9851, recall: 0.856, relative_absolute_error: 0.5883, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.6699, scimark_benchmark: 860.584, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8309, kappa: 0.6532, kb_relative_information_score: 214.9528, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.832, predictive_accuracy: 0.832, prior_entropy: 0.9851, recall: 0.832, relative_absolute_error: 0.6188, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.349, root_relative_squared_error: 0.7054, scimark_benchmark: 1330.0694, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.8549, kappa: 0.7024, kb_relative_information_score: 281.7669, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8567, predictive_accuracy: 0.856, prior_entropy: 0.9851, recall: 0.856, relative_absolute_error: 0.4668, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.6364, scimark_benchmark: 937.1527, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.8479, kappa: 0.6892, kb_relative_information_score: 343.3283, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8478, predictive_accuracy: 0.848, prior_entropy: 0.9851, recall: 0.848, relative_absolute_error: 0.3104, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.788, scimark_benchmark: 1346.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8881, kappa: 0.7718, kb_relative_information_score: 346.8566, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8884, predictive_accuracy: 0.888, prior_entropy: 0.9851, recall: 0.888, relative_absolute_error: 0.3266, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.6393, scimark_benchmark: 1316.0472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.8979, kappa: 0.7913, kb_relative_information_score: 377.1031, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8979, predictive_accuracy: 0.898, prior_entropy: 0.9851, recall: 0.898, relative_absolute_error: 0.2557, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.6176, scimark_benchmark: 1310.8451, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.835, kappa: 0.6614, kb_relative_information_score: 333.025, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.843, predictive_accuracy: 0.838, prior_entropy: 0.9851, recall: 0.838, relative_absolute_error: 0.3308, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8135, scimark_benchmark: 1291.6995, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4818, f_measure: 0.2991, kappa: -0.0316, kb_relative_information_score: -97.6553, mean_absolute_error: 0.58, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.4315, predictive_accuracy: 0.42, prior_entropy: 0.9851, recall: 0.42, relative_absolute_error: 1.1845, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.7616, root_relative_squared_error: 1.5392, scimark_benchmark: 1290.1085, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.9119, kappa: 0.8198, kb_relative_information_score: 397.0699, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.9119, predictive_accuracy: 0.912, prior_entropy: 0.9851, recall: 0.912, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.5684, scimark_benchmark: 1392.1129, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.8038, kappa: 0.5974, kb_relative_information_score: 300.0542, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8066, predictive_accuracy: 0.806, prior_entropy: 0.9851, recall: 0.806, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8902, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.9078, kappa: 0.8114, kb_relative_information_score: 405.1485, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.9079, predictive_accuracy: 0.908, prior_entropy: 0.9851, recall: 0.908, relative_absolute_error: 0.1879, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.613, scimark_benchmark: 1353.5686, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.4163, kb_relative_information_score: -0.0708, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9851, recall: 0.572, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4948, root_relative_squared_error: 1, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.4163, kb_relative_information_score: -0.0708, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9851, recall: 0.572, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4948, root_relative_squared_error: 1, scimark_benchmark: 1418.5826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.92, kappa: 0.8364, kb_relative_information_score: 409.9316, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.9199, predictive_accuracy: 0.92, prior_entropy: 0.9851, recall: 0.92, relative_absolute_error: 0.1836, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.5553, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.8021, kappa: 0.5959, kb_relative_information_score: 284.258, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8021, predictive_accuracy: 0.802, prior_entropy: 0.9851, recall: 0.802, relative_absolute_error: 0.4345, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8645, scimark_benchmark: 927.0753, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.8022, kappa: 0.5963, kb_relative_information_score: 206.3865, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8024, predictive_accuracy: 0.802, prior_entropy: 0.9851, recall: 0.802, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8032, scimark_benchmark: 941.7954, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.8022, kappa: 0.5963, kb_relative_information_score: 206.3865, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8024, predictive_accuracy: 0.802, prior_entropy: 0.9851, recall: 0.802, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8032, scimark_benchmark: 923.7642, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.8022, kappa: 0.5963, kb_relative_information_score: 206.3865, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8024, predictive_accuracy: 0.802, prior_entropy: 0.9851, recall: 0.802, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8032, scimark_benchmark: 894.7455, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8797, kappa: 0.7538, kb_relative_information_score: 373.4798, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8798, predictive_accuracy: 0.88, prior_entropy: 0.9851, recall: 0.88, relative_absolute_error: 0.252, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.6445, scimark_benchmark: 940.2922, usercpu_time_millis: 560, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.87, kappa: 0.7343, kb_relative_information_score: 357.2577, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8699, predictive_accuracy: 0.87, prior_entropy: 0.9851, recall: 0.87, relative_absolute_error: 0.2857, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.6734, scimark_benchmark: 938.2848, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8255, kappa: 0.6427, kb_relative_information_score: 325.1347, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8255, predictive_accuracy: 0.826, prior_entropy: 0.9851, recall: 0.826, relative_absolute_error: 0.3458, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.7462, scimark_benchmark: 936.6206, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.8057, kappa: 0.6026, kb_relative_information_score: 301.6283, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8056, predictive_accuracy: 0.806, prior_entropy: 0.9851, recall: 0.806, relative_absolute_error: 0.3939, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.7961, scimark_benchmark: 934.5243, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.7917, kappa: 0.5742, kb_relative_information_score: 280.3632, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7916, predictive_accuracy: 0.792, prior_entropy: 0.9851, recall: 0.792, relative_absolute_error: 0.4386, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.879, scimark_benchmark: 938.4285, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.894, kappa: 0.7834, kb_relative_information_score: 378.6809, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8939, predictive_accuracy: 0.894, prior_entropy: 0.9851, recall: 0.894, relative_absolute_error: 0.2482, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.5368, scimark_benchmark: 933.8635, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.896, kappa: 0.7876, kb_relative_information_score: 363.5555, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9851, recall: 0.896, relative_absolute_error: 0.2838, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.5445, scimark_benchmark: 924.6116, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.898, kappa: 0.7916, kb_relative_information_score: 345.4563, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8979, predictive_accuracy: 0.898, prior_entropy: 0.9851, recall: 0.898, relative_absolute_error: 0.3307, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.5479, scimark_benchmark: 924.6116, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.8758, kappa: 0.7462, kb_relative_information_score: 314.7239, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8758, predictive_accuracy: 0.876, prior_entropy: 0.9851, recall: 0.876, relative_absolute_error: 0.3951, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2971, root_relative_squared_error: 0.6005, scimark_benchmark: 947.9494, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.8549, kappa: 0.7024, kb_relative_information_score: 281.7669, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8567, predictive_accuracy: 0.856, prior_entropy: 0.9851, recall: 0.856, relative_absolute_error: 0.4668, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.6364, scimark_benchmark: 929.566, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.4163, kb_relative_information_score: -0.0708, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9851, recall: 0.572, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4948, root_relative_squared_error: 1, scimark_benchmark: 938.9865,

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