OpenML
Supervised Classification on pasture

Supervised Classification on pasture

Task 3827 Supervised Classification pasture 483 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.811, kappa: 0.6038, kb_relative_information_score: 19.5018, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8473, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.4326, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3924, f_measure: 0.5333, kb_relative_information_score: 0.2145, mean_absolute_error: 0.4448, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9268, recall: 0.6667, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4736, root_relative_squared_error: 1.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.8074, kappa: 0.5714, kb_relative_information_score: 14.4867, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8105, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.7471, kappa: 0.4255, kb_relative_information_score: 14.7856, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.7455, predictive_accuracy: 0.75, prior_entropy: 0.9268, recall: 0.75, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.7471, kappa: 0.4255, kb_relative_information_score: 14.7856, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.7455, predictive_accuracy: 0.75, prior_entropy: 0.9268, recall: 0.75, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0605, scimark_benchmark: 1280.301, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6973, kappa: 0.3265, kb_relative_information_score: 10.1427, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.7012, predictive_accuracy: 0.6944, prior_entropy: 0.9268, recall: 0.6944, relative_absolute_error: 0.683, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5528, root_relative_squared_error: 1.1724, scimark_benchmark: 1280.301, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 7.8212, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9268, recall: 0.6667, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2245, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 7.8212, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9268, recall: 0.6667, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2245, scimark_benchmark: 1461.2356, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 22.4717, mean_absolute_error: 0.1624, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.3629, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.7561, scimark_benchmark: 1787.9841, usercpu_time_millis: 171.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 22.4717, mean_absolute_error: 0.1624, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.3629, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.7561, scimark_benchmark: 1390.9789, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 7.8212, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9268, recall: 0.6667, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2245, scimark_benchmark: 1648.5604, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 7.8212, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9268, recall: 0.6667, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2245, scimark_benchmark: 1362.8264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.7471, kappa: 0.4255, kb_relative_information_score: 14.7856, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.7455, predictive_accuracy: 0.75, prior_entropy: 0.9268, recall: 0.75, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0605, scimark_benchmark: 1387.0663, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8291, kappa: 0.6087, kb_relative_information_score: 21.9871, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8308, predictive_accuracy: 0.8333, prior_entropy: 0.9268, recall: 0.8333, relative_absolute_error: 0.3712, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.7638, scimark_benchmark: 1671.2677, usercpu_time_millis: 171.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6973, kappa: 0.3265, kb_relative_information_score: 10.1427, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.7012, predictive_accuracy: 0.6944, prior_entropy: 0.9268, recall: 0.6944, relative_absolute_error: 0.683, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5528, root_relative_squared_error: 1.1724, scimark_benchmark: 1607.3426, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8889, kappa: 0.75, kb_relative_information_score: 22.9159, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.7267, scimark_benchmark: 1424.8689, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8291, kappa: 0.6087, kb_relative_information_score: 21.6926, mean_absolute_error: 0.1729, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8308, predictive_accuracy: 0.8333, prior_entropy: 0.9268, recall: 0.8333, relative_absolute_error: 0.3865, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.7471, scimark_benchmark: 1060.9535,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.811, kappa: 0.6038, kb_relative_information_score: 19.5018, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8473, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.4326, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8809, scimark_benchmark: 1340.4741, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 22.8948, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.3568, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.7194, scimark_benchmark: 1228.4761, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7471, kappa: 0.4255, kb_relative_information_score: 16.0649, mean_absolute_error: 0.2359, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.7455, predictive_accuracy: 0.75, prior_entropy: 0.9268, recall: 0.75, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9872, scimark_benchmark: 1274.0413, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7974, kappa: 0.5333, kb_relative_information_score: 18.4196, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8025, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.9095, scimark_benchmark: 1345.9769, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.8333, kappa: 0.625, kb_relative_information_score: 21.7542, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 0.9268, recall: 0.8333, relative_absolute_error: 0.3724, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8655, scimark_benchmark: 1047.6485, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7205, f_measure: 0.7269, kappa: 0.4, kb_relative_information_score: 12.4004, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.7359, predictive_accuracy: 0.7222, prior_entropy: 0.9268, recall: 0.7222, relative_absolute_error: 0.6246, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.0129, scimark_benchmark: 664.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8889, kappa: 0.75, kb_relative_information_score: 26.3928, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.2484, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.707, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.8624, kappa: 0.6939, kb_relative_information_score: 24.0713, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8651, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.3105, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.7904, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.724, f_measure: 0.7395, kappa: 0.4, kb_relative_information_score: 12.8543, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.7407, predictive_accuracy: 0.75, prior_entropy: 0.9268, recall: 0.75, relative_absolute_error: 0.626, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.9253, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8907, kappa: 0.76, kb_relative_information_score: 18.2835, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8983, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.5188, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6774, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.811, kappa: 0.6038, kb_relative_information_score: 19.4794, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8473, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.4378, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.8885, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.8333, kappa: 0.625, kb_relative_information_score: 21.3639, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 0.9268, recall: 0.8333, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8432, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.811, kappa: 0.6038, kb_relative_information_score: 19.5018, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8473, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.4326, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8809, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8889, kappa: 0.75, kb_relative_information_score: 26.3928, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.2484, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.707, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.8624, kappa: 0.6939, kb_relative_information_score: 24.0713, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8651, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.3105, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.7904, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 22.8327, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.3587, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.7228, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7471, kappa: 0.4255, kb_relative_information_score: 16.0649, mean_absolute_error: 0.2359, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.7455, predictive_accuracy: 0.75, prior_entropy: 0.9268, recall: 0.75, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9872, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7974, kappa: 0.5333, kb_relative_information_score: 18.4196, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8025, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.9095, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.8333, kappa: 0.625, kb_relative_information_score: 21.7497, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 0.9268, recall: 0.8333, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8659, scimark_benchmark: 1892.0925, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.7269, kappa: 0.4, kb_relative_information_score: 11.9723, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.7359, predictive_accuracy: 0.7222, prior_entropy: 0.9268, recall: 0.7222, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4868, root_relative_squared_error: 1.0325, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6267, f_measure: 0.6816, kappa: 0.2667, kb_relative_information_score: 8.5997, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.679, predictive_accuracy: 0.6944, prior_entropy: 0.9268, recall: 0.6944, relative_absolute_error: 0.736, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.0695, scimark_benchmark: 1892.0925,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 24.0713, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.3105, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.7904, usercpu_time_millis: 0.175, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.8333, kappa: 0.625, kb_relative_information_score: 20.3218, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 0.9268, recall: 0.8333, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.8752, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.7974, kappa: 0.5333, kb_relative_information_score: 18.1447, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8025, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.8244, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7721, kappa: 0.4783, kb_relative_information_score: 16.8867, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.7718, predictive_accuracy: 0.7778, prior_entropy: 0.9268, recall: 0.7778, relative_absolute_error: 0.4974, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.9444, scimark_benchmark: 851.2074, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 7.8212, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9268, recall: 0.6667, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2245, scimark_benchmark: 931.771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 7.8212, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9268, recall: 0.6667, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2245, scimark_benchmark: 931.771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.9174, kappa: 0.8163, kb_relative_information_score: 25.9942, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.9197, predictive_accuracy: 0.9167, prior_entropy: 0.9268, recall: 0.9167, relative_absolute_error: 0.2669, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.6211, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.9174, kappa: 0.8163, kb_relative_information_score: 25.9942, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.9197, predictive_accuracy: 0.9167, prior_entropy: 0.9268, recall: 0.9167, relative_absolute_error: 0.2669, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.6211, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8861, kappa: 0.7391, kb_relative_information_score: 17.1733, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8897, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.6844, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.9174, kappa: 0.8163, kb_relative_information_score: 25.9942, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.9197, predictive_accuracy: 0.9167, prior_entropy: 0.9268, recall: 0.9167, relative_absolute_error: 0.2669, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.6211, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.8291, kappa: 0.6087, kb_relative_information_score: 19.2604, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8308, predictive_accuracy: 0.8333, prior_entropy: 0.9268, recall: 0.8333, relative_absolute_error: 0.4541, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.8086, scimark_benchmark: 927.2917, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 7.8212, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9268, recall: 0.6667, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2245, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 7.8212, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9268, recall: 0.6667, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2245, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8907, kappa: 0.76, kb_relative_information_score: 26.0927, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8983, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.2589, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6517, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.9174, kappa: 0.8163, kb_relative_information_score: 25.9942, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.9197, predictive_accuracy: 0.9167, prior_entropy: 0.9268, recall: 0.9167, relative_absolute_error: 0.2669, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.6211, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.8291, kappa: 0.6087, kb_relative_information_score: 19.2604, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8308, predictive_accuracy: 0.8333, prior_entropy: 0.9268, recall: 0.8333, relative_absolute_error: 0.4541, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.8086, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.8861, kappa: 0.7391, kb_relative_information_score: 18.7694, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8897, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3152, root_relative_squared_error: 0.6686, scimark_benchmark: 943.1009, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.8333, kappa: 0.625, kb_relative_information_score: 20.3218, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 0.9268, recall: 0.8333, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.8752, scimark_benchmark: 819.5729,

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