OpenML
Supervised Classification on autoPrice

Supervised Classification on autoPrice

Task 3622 Supervised Classification autoPrice 585 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 140.6358, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.1243, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.152, root_relative_squared_error: 0.3209, scimark_benchmark: 901.6243, usercpu_time_millis: 1220, usercpu_time_millis_testing: 670, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 140.331, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.1253, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.3312, scimark_benchmark: 944.0133, usercpu_time_millis: 430, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 140.5148, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.3308, scimark_benchmark: 906.8974, usercpu_time_millis: 220, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 139.749, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.3296, scimark_benchmark: 930.5033, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9685, kappa: 0.9296, kb_relative_information_score: 139.1799, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.3255, scimark_benchmark: 936.1714, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9811, kappa: 0.9577, kb_relative_information_score: 151.5332, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9264, recall: 0.9811, relative_absolute_error: 0.0435, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.2902, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9811, kappa: 0.9577, kb_relative_information_score: 151.5332, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9264, recall: 0.9811, relative_absolute_error: 0.0435, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.2902, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9811, kappa: 0.9577, kb_relative_information_score: 151.5332, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9264, recall: 0.9811, relative_absolute_error: 0.0435, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.2902, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9811, kappa: 0.9577, kb_relative_information_score: 150.53, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9264, recall: 0.9811, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.3015, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 149.0274, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.0589, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.3185, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.466, f_measure: 0.5253, kb_relative_information_score: -0.3177, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.4361, predictive_accuracy: 0.6604, prior_entropy: 0.9264, recall: 0.6604, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.0005, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9811, kappa: 0.9577, kb_relative_information_score: 151.6843, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9264, recall: 0.9811, relative_absolute_error: 0.0422, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.2901, scimark_benchmark: 936.1714, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 149.3742, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.0561, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.3349, scimark_benchmark: 935.6052, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 149.2375, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.0572, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.3351, scimark_benchmark: 940.0055, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 147.1954, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.0688, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3677, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9685, kappa: 0.9296, kb_relative_information_score: 147.6536, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.0681, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.3455, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5253, kb_relative_information_score: 33.1976, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.4361, predictive_accuracy: 0.6604, prior_entropy: 0.9264, recall: 0.6604, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5828, root_relative_squared_error: 1.2306, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9438, kappa: 0.8755, kb_relative_information_score: 134.6495, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9448, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.493, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 127.0852, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.2318, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.3708, scimark_benchmark: 923.7471, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9357, kappa: 0.8546, kb_relative_information_score: 118.1797, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.94, predictive_accuracy: 0.9371, prior_entropy: 0.9264, recall: 0.9371, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.4697, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.9561, kappa: 0.9023, kb_relative_information_score: 137.0224, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9563, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.4407, scimark_benchmark: 923.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 144.3016, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.3132, scimark_benchmark: 930.0565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9685, kappa: 0.9296, kb_relative_information_score: 144.1208, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.0923, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.3515, scimark_benchmark: 934.929, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, f_measure: 0.6054, kappa: 0.1417, kb_relative_information_score: 47.1397, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.7928, predictive_accuracy: 0.6981, prior_entropy: 0.9264, recall: 0.6981, relative_absolute_error: 0.6721, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5494, root_relative_squared_error: 1.1602, scimark_benchmark: 928.8135, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, f_measure: 0.6054, kappa: 0.1417, kb_relative_information_score: 47.1397, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.7928, predictive_accuracy: 0.6981, prior_entropy: 0.9264, recall: 0.6981, relative_absolute_error: 0.6721, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5494, root_relative_squared_error: 1.1602, scimark_benchmark: 939.3886, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 147.149, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.0693, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.3595, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 145.658, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.17, root_relative_squared_error: 0.359, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 145.658, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.17, root_relative_squared_error: 0.359, scimark_benchmark: 945.0194, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 145.658, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.17, root_relative_squared_error: 0.359, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.943, kappa: 0.8721, kb_relative_information_score: 129.2048, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9433, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1997, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.4422, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9559, kappa: 0.9014, kb_relative_information_score: 135.421, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1553, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.3634, scimark_benchmark: 942.3809, usercpu_time_millis: 510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 145.658, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.17, root_relative_squared_error: 0.359, scimark_benchmark: 952.4682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9621, kappa: 0.9151, kb_relative_information_score: 140.3091, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.1218, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.178, root_relative_squared_error: 0.3759, scimark_benchmark: 946.6409, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 142.0513, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.1143, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.3066, scimark_benchmark: 928.8135, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.9561, kappa: 0.9023, kb_relative_information_score: 137.0224, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9563, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.4407, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, f_measure: 0.6054, kappa: 0.1417, kb_relative_information_score: 47.1397, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.7928, predictive_accuracy: 0.6981, prior_entropy: 0.9264, recall: 0.6981, relative_absolute_error: 0.6721, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5494, root_relative_squared_error: 1.1602, scimark_benchmark: 1340.2467, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 147.149, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.0693, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.3595, scimark_benchmark: 1327.5842,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 144.3016, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.3132, scimark_benchmark: 1319.5773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9685, kappa: 0.9296, kb_relative_information_score: 144.1208, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.0923, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.3515, scimark_benchmark: 1339.3082, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, f_measure: 0.6054, kappa: 0.1417, kb_relative_information_score: 47.1397, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.7928, predictive_accuracy: 0.6981, prior_entropy: 0.9264, recall: 0.6981, relative_absolute_error: 0.6721, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5494, root_relative_squared_error: 1.1602, scimark_benchmark: 1321.8321, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 147.149, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.0693, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.3595, scimark_benchmark: 1314.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 145.658, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.17, root_relative_squared_error: 0.359, scimark_benchmark: 1349.9109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 145.658, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.17, root_relative_squared_error: 0.359, scimark_benchmark: 1292.1745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 145.658, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.17, root_relative_squared_error: 0.359, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, f_measure: 0.6054, kappa: 0.1417, kb_relative_information_score: 47.1397, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.7928, predictive_accuracy: 0.6981, prior_entropy: 0.9264, recall: 0.6981, relative_absolute_error: 0.6721, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5494, root_relative_squared_error: 1.1602, scimark_benchmark: 1329.8008, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9621, kappa: 0.9151, kb_relative_information_score: 140.3091, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.1218, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.178, root_relative_squared_error: 0.3759, scimark_benchmark: 1350.007, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 142.0513, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.1143, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.3066, scimark_benchmark: 1327.6367, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.9682, kappa: 0.9283, kb_relative_information_score: 147.0579, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.97, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3744, scimark_benchmark: 1278.6629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, f_measure: 0.6054, kappa: 0.1417, kb_relative_information_score: 47.1397, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.7928, predictive_accuracy: 0.6981, prior_entropy: 0.9264, recall: 0.6981, relative_absolute_error: 0.6721, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5494, root_relative_squared_error: 1.1602, scimark_benchmark: 1306.5596, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 145.658, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.17, root_relative_squared_error: 0.359, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 142.0513, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.1143, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.3066, scimark_benchmark: 1278.6629, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.9561, kappa: 0.9023, kb_relative_information_score: 137.0224, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9563, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.4407, scimark_benchmark: 1320.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9557, kappa: 0.9005, kb_relative_information_score: 133.9696, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9561, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1615, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.4132, scimark_benchmark: 1341.5795, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9559, kappa: 0.9014, kb_relative_information_score: 135.421, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1553, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.3634, scimark_benchmark: 1347.5461, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 145.658, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.17, root_relative_squared_error: 0.359, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 145.658, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.17, root_relative_squared_error: 0.359, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 145.658, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.17, root_relative_squared_error: 0.359, scimark_benchmark: 1288.1375,

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