Task
Supervised Classification on badges2

Supervised Classification on badges2

Task 3955 Supervised Classification badges2 146 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9932, kappa: 0.9835, kb_relative_information_score: 288.4675, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 0.9934, predictive_accuracy: 0.9932, prior_entropy: 0.865, recall: 0.9932, relative_absolute_error: 0.0149, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.0741, root_relative_squared_error: 0.1641, scimark_benchmark: 860.3004, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518, scimark_benchmark: 844.7353, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9966, kappa: 0.9917, kb_relative_information_score: 286.4887, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.865, recall: 0.9966, relative_absolute_error: 0.0291, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.0529, root_relative_squared_error: 0.1171, scimark_benchmark: 859.5311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518, scimark_benchmark: 823.1732, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 290.731, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.0063, root_relative_squared_error: 0.014, scimark_benchmark: 951.5735, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 284.937, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, relative_absolute_error: 0.0396, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.0415, root_relative_squared_error: 0.0918, scimark_benchmark: 968.615, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518, scimark_benchmark: 1068.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 292.4052, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, relative_absolute_error: 0.0047, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.0024, root_relative_squared_error: 0.0053, scimark_benchmark: 1160.4796, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518, scimark_benchmark: 1066.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518, usercpu_time_millis: 8.621, usercpu_time_millis_testing: 0.518, usercpu_time_millis_training: 8.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9932, kappa: 0.9832, kb_relative_information_score: 288.0635, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 0.9933, predictive_accuracy: 0.9932, prior_entropy: 0.865, recall: 0.9932, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.1826, usercpu_time_millis: 0.26, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518, usercpu_time_millis: 0.216, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518, usercpu_time_millis: 5.006, usercpu_time_millis_testing: 0.683, usercpu_time_millis_training: 4.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518, usercpu_time_millis: 3.912, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 3.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518, usercpu_time_millis: 0.832, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 0.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518, usercpu_time_millis: 7.787, usercpu_time_millis_testing: 2.41, usercpu_time_millis_training: 5.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518, usercpu_time_millis: 2.526, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 2.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518, usercpu_time_millis: 0.931, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518, usercpu_time_millis: 0.763, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518, usercpu_time_millis: 425.182, usercpu_time_millis_testing: 9.398, usercpu_time_millis_training: 415.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518, usercpu_time_millis: 2.505, usercpu_time_millis_testing: 0.893, usercpu_time_millis_training: 1.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518, usercpu_time_millis: 29.279, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 28.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518, usercpu_time_millis: 1.893, usercpu_time_millis_testing: 0.724, usercpu_time_millis_training: 1.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.9688, kappa: 0.9225, kb_relative_information_score: 269.5451, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 0.9706, predictive_accuracy: 0.9694, prior_entropy: 0.865, recall: 0.9694, relative_absolute_error: 0.0749, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.175, root_relative_squared_error: 0.3873, usercpu_time_millis: 0.329, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9966, kappa: 0.9917, kb_relative_information_score: 290.709, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.865, recall: 0.9966, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.0583, root_relative_squared_error: 0.1291, usercpu_time_millis: 0.468, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 0.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518, usercpu_time_millis: 0.277, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518, usercpu_time_millis: 0.735, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9828, kappa: 0.9576, kb_relative_information_score: 280.1271, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 0.9834, predictive_accuracy: 0.983, prior_entropy: 0.865, recall: 0.983, relative_absolute_error: 0.0416, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.2887, usercpu_time_millis: 0.362, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9898, kappa: 0.9751, kb_relative_information_score: 285.4181, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 0.9899, predictive_accuracy: 0.9898, prior_entropy: 0.865, recall: 0.9898, relative_absolute_error: 0.025, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.101, root_relative_squared_error: 0.2236, usercpu_time_millis: 0.224, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 0.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518, usercpu_time_millis: 1.893, usercpu_time_millis_testing: 0.662, usercpu_time_millis_training: 1.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518, usercpu_time_millis: 2.573, usercpu_time_millis_testing: 1.03, usercpu_time_millis_training: 1.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518, usercpu_time_millis: 1.866, usercpu_time_millis_testing: 0.68, usercpu_time_millis_training: 1.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518, usercpu_time_millis: 0.521, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 0.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518, usercpu_time_millis: 1.186, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 1.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518, usercpu_time_millis: 8.118, usercpu_time_millis_testing: 1.132, usercpu_time_millis_training: 6.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5952, kb_relative_information_score: 71.1338, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.865, recall: 0.7143, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1832, usercpu_time_millis: 0.417, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518, usercpu_time_millis: 0.687, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 0.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518, usercpu_time_millis: 68.391, usercpu_time_millis_testing: 4.289, usercpu_time_millis_training: 64.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518, usercpu_time_millis: 2.057, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 1.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518, usercpu_time_millis: 19.652, usercpu_time_millis_testing: 4.021, usercpu_time_millis_training: 15.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518, usercpu_time_millis: 0.722, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 293.3545, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, root_mean_prior_squared_error: 0.4518, usercpu_time_millis: 1.629, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 1.146,

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)

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