OpenML
Supervised Classification on fri_c4_100_10

Supervised Classification on fri_c4_100_10

Task 3742 Supervised Classification fri_c4_100_10 769 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: 0.7495, f_measure: 0.7073, kappa: 0.413, kb_relative_information_score: 32.6642, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7118, predictive_accuracy: 0.71, prior_entropy: 0.9975, recall: 0.71, relative_absolute_error: 0.6967, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9152, scimark_benchmark: 1339.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7435, f_measure: 0.6803, kappa: 0.3592, kb_relative_information_score: 35.1625, mean_absolute_error: 0.3227, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6811, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.6477, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5297, root_relative_squared_error: 1.0614, scimark_benchmark: 1064.8317, usercpu_time_millis: 200, usercpu_time_millis_testing: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.6995, kappa: 0.3964, kb_relative_information_score: 38.7311, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6996, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8606, scimark_benchmark: 1345.3152, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, f_measure: 0.6502, kappa: 0.2983, kb_relative_information_score: 29.6393, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6505, predictive_accuracy: 0.65, prior_entropy: 0.9975, recall: 0.65, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1854, scimark_benchmark: 917.9672, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.6966, kappa: 0.392, kb_relative_information_score: 40.3146, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7024, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6024, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.9368, scimark_benchmark: 1320.9026, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.7073, kappa: 0.413, kb_relative_information_score: 32.6642, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7118, predictive_accuracy: 0.71, prior_entropy: 0.9975, recall: 0.71, relative_absolute_error: 0.6967, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9152, scimark_benchmark: 1249.4068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.6995, kappa: 0.3964, kb_relative_information_score: 38.7311, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6996, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8606, scimark_benchmark: 1342.4239, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, f_measure: 0.68, kappa: 0.3623, kb_relative_information_score: 24.6054, mean_absolute_error: 0.3835, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6849, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.7697, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4814, root_relative_squared_error: 0.9644, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.6966, kappa: 0.392, kb_relative_information_score: 40.3146, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7024, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6024, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.9368, scimark_benchmark: 833.3193, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.6995, kappa: 0.3964, kb_relative_information_score: 38.7311, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6996, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8606, scimark_benchmark: 1350.073, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.7698, kappa: 0.5378, kb_relative_information_score: 51.8313, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7698, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.4842, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8759, scimark_benchmark: 1320.9026, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.7894, kappa: 0.577, kb_relative_information_score: 42.2119, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7903, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.617, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7428, scimark_benchmark: 1347.388, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.0583, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7316, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.9529, scimark_benchmark: 937.1527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.6995, kappa: 0.3964, kb_relative_information_score: 38.7311, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6996, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8606, scimark_benchmark: 1354.8751, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.216, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9552, scimark_benchmark: 1334.4761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7029, f_measure: 0.6603, kappa: 0.3192, kb_relative_information_score: 22.3581, mean_absolute_error: 0.3972, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6611, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.7972, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4777, root_relative_squared_error: 0.9572, scimark_benchmark: 944.0517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.74, kappa: 0.4781, kb_relative_information_score: 28.8142, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.74, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.7527, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8219, scimark_benchmark: 833.3193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.7073, kappa: 0.413, kb_relative_information_score: 32.6642, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7118, predictive_accuracy: 0.71, prior_entropy: 0.9975, recall: 0.71, relative_absolute_error: 0.6967, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9152, scimark_benchmark: 1317.1597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.72, kappa: 0.438, kb_relative_information_score: 29.0576, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.9079, scimark_benchmark: 1360.2999, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5873, f_measure: 0.5195, kappa: 0.1026, kb_relative_information_score: 0.9375, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5673, predictive_accuracy: 0.54, prior_entropy: 0.9975, recall: 0.54, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4954, root_relative_squared_error: 0.9927, scimark_benchmark: 1327.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.8795, kappa: 0.758, kb_relative_information_score: 75.8697, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8819, predictive_accuracy: 0.88, prior_entropy: 0.9975, recall: 0.88, relative_absolute_error: 0.2409, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6941, scimark_benchmark: 789.1062, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.8291, kappa: 0.6567, kb_relative_information_score: 30.9087, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8323, predictive_accuracy: 0.83, prior_entropy: 0.9975, recall: 0.83, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.7996, scimark_benchmark: 1338.9438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.7596, kappa: 0.5171, kb_relative_information_score: 52.7877, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.4719, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9, scimark_benchmark: 898.1296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.7501, kappa: 0.4988, kb_relative_information_score: 48.9057, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7504, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8487, scimark_benchmark: 1318.8785, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.8089, kappa: 0.6163, kb_relative_information_score: 42.1537, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.812, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.616, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.7467, scimark_benchmark: 1322.7383, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6369, f_measure: 0.5582, kappa: 0.1125, kb_relative_information_score: 14.3444, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5582, predictive_accuracy: 0.56, prior_entropy: 0.9975, recall: 0.56, relative_absolute_error: 0.855, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5339, root_relative_squared_error: 1.0697, scimark_benchmark: 1290.7136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6369, f_measure: 0.5582, kappa: 0.1125, kb_relative_information_score: 14.3444, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5582, predictive_accuracy: 0.56, prior_entropy: 0.9975, recall: 0.56, relative_absolute_error: 0.855, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5339, root_relative_squared_error: 1.0697, scimark_benchmark: 1360.2771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.7073, kappa: 0.413, kb_relative_information_score: 32.6642, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7118, predictive_accuracy: 0.71, prior_entropy: 0.9975, recall: 0.71, relative_absolute_error: 0.6967, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9152, scimark_benchmark: 1340.1351, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.68, kappa: 0.3623, kb_relative_information_score: 24.718, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6849, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.7686, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4812, root_relative_squared_error: 0.9641, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, f_measure: 0.68, kappa: 0.3623, kb_relative_information_score: 24.5092, mean_absolute_error: 0.3838, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6849, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.7702, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4818, root_relative_squared_error: 0.9653, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.6502, kappa: 0.2983, kb_relative_information_score: 19.4066, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6505, predictive_accuracy: 0.65, prior_entropy: 0.9975, recall: 0.65, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.912, scimark_benchmark: 1313.9606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.6603, kappa: 0.3192, kb_relative_information_score: 22.4457, mean_absolute_error: 0.3967, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6611, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9583, scimark_benchmark: 1334.8495, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.68, f_measure: 0.6803, kappa: 0.3592, kb_relative_information_score: 35.6693, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6811, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.6423, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1334, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.717, f_measure: 0.7396, kappa: 0.4769, kb_relative_information_score: 33.4973, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7398, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9219, scimark_benchmark: 1329.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.7728, mean_absolute_error: 0.3634, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7293, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9061, scimark_benchmark: 1347.3845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.737, kappa: 0.473, kb_relative_information_score: 37.419, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7438, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9341, scimark_benchmark: 1344.3348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.7502, kappa: 0.5, kb_relative_information_score: 31.073, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7518, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8817, scimark_benchmark: 1321.7236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7782, f_measure: 0.7701, kappa: 0.5389, kb_relative_information_score: 43.6814, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8768, scimark_benchmark: 1307.7326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.6966, kappa: 0.392, kb_relative_information_score: 40.3146, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7024, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6024, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.9368, scimark_benchmark: 1368.9272, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, f_measure: 0.7502, kappa: 0.5, kb_relative_information_score: 49.7395, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7518, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0018, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4578, f_measure: 0.3672, kb_relative_information_score: -0.1403, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.001, scimark_benchmark: 1418.5826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.7402, kappa: 0.4794, kb_relative_information_score: 45.0151, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.741, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.953, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7204, f_measure: 0.6698, kappa: 0.3368, kb_relative_information_score: 31.8721, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6697, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.6854, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5278, root_relative_squared_error: 1.0575, scimark_benchmark: 931.2336, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.649, kappa: 0.2949, kb_relative_information_score: 25.0918, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6493, predictive_accuracy: 0.65, prior_entropy: 0.9975, recall: 0.65, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5401, root_relative_squared_error: 1.0821, scimark_benchmark: 945.6434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, f_measure: 0.6698, kappa: 0.3368, kb_relative_information_score: 22.5774, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6697, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.004, scimark_benchmark: 941.7954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, f_measure: 0.6698, kappa: 0.3368, kb_relative_information_score: 22.5774, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6697, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.004, scimark_benchmark: 923.7642, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, f_measure: 0.6698, kappa: 0.3368, kb_relative_information_score: 22.5774, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6697, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.004, scimark_benchmark: 894.7455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.759, kappa: 0.5159, kb_relative_information_score: 51.7975, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7605, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9537, scimark_benchmark: 894.7455, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.7389, kappa: 0.4756, kb_relative_information_score: 48.3189, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7403, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.5152, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9718, scimark_benchmark: 936.6206, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.7698, kappa: 0.5378, kb_relative_information_score: 51.0182, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7698, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.494, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9349, scimark_benchmark: 942.1229, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.7084, kappa: 0.4144, kb_relative_information_score: 43.1193, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7104, predictive_accuracy: 0.71, prior_entropy: 0.9975, recall: 0.71, relative_absolute_error: 0.5692, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4848, root_relative_squared_error: 0.9714, scimark_benchmark: 934.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.7202, kappa: 0.4393, kb_relative_information_score: 44.706, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.721, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9745, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.7596, kappa: 0.5171, kb_relative_information_score: 52.7877, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.4719, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9, scimark_benchmark: 938.4285, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.7698, kappa: 0.5378, kb_relative_information_score: 51.8313, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7698, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.4842, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8759, scimark_benchmark: 924.6116, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.7501, kappa: 0.4988, kb_relative_information_score: 48.9057, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7504, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8487, scimark_benchmark: 924.6116, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.74, kappa: 0.4781, kb_relative_information_score: 44.3723, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.74, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8717, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.6995, kappa: 0.3964, kb_relative_information_score: 38.3844, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6996, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.8875, scimark_benchmark: 931.2336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4578, f_measure: 0.3672, kb_relative_information_score: -0.1403, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.001, scimark_benchmark: 940.2922,

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