OpenML
Supervised Classification on BNG(cmc)

Supervised Classification on BNG(cmc)

Task 2332 Supervised Classification BNG(cmc) 196 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.5649, kappa: 0.3248, kb_relative_information_score: 4472.5134, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5638, predictive_accuracy: 0.5673, prior_entropy: 1.5387, recall: 0.5673, relative_absolute_error: 0.833, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.9192, scimark_benchmark: 1313.9976, usercpu_time_millis: 9900, usercpu_time_millis_testing: 660, usercpu_time_millis_training: 9240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.5409, kappa: 0.2866, kb_relative_information_score: 4655.9285, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5399, predictive_accuracy: 0.5436, prior_entropy: 1.5387, recall: 0.5436, relative_absolute_error: 0.8216, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.9383, scimark_benchmark: 1299.6719, usercpu_time_millis: 6690, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 6290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.553, kappa: 0.3101, kb_relative_information_score: 4397.373, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5537, predictive_accuracy: 0.5538, prior_entropy: 1.5387, recall: 0.5538, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9262, scimark_benchmark: 1335.2357, usercpu_time_millis: 350, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.553, kappa: 0.3101, kb_relative_information_score: 4397.373, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5537, predictive_accuracy: 0.5538, prior_entropy: 1.5387, recall: 0.5538, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9262, scimark_benchmark: 1342.6744, usercpu_time_millis: 350, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.5623, kappa: 0.3196, kb_relative_information_score: 6793.2365, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5631, predictive_accuracy: 0.5652, prior_entropy: 1.5387, recall: 0.5652, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.5384, root_relative_squared_error: 1.1604, scimark_benchmark: 1337.7902, usercpu_time_millis: 1523370, usercpu_time_millis_testing: 585500, usercpu_time_millis_training: 937870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.5688, kappa: 0.3303, kb_relative_information_score: 4662.9963, mean_absolute_error: 0.354, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5688, predictive_accuracy: 0.5697, prior_entropy: 1.5387, recall: 0.5697, relative_absolute_error: 0.822, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.424, root_relative_squared_error: 0.9139, scimark_benchmark: 1331.0047, usercpu_time_millis: 313720, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 313600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, f_measure: 0.5447, kappa: 0.2933, kb_relative_information_score: 3975.8974, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.551, predictive_accuracy: 0.5537, prior_entropy: 1.5387, recall: 0.5537, relative_absolute_error: 0.8565, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.9272, scimark_benchmark: 1253.0071, usercpu_time_millis: 41170, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 41100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.5515, kappa: 0.3039, kb_relative_information_score: 4501.1061, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5506, predictive_accuracy: 0.5528, prior_entropy: 1.5387, recall: 0.5528, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9657, scimark_benchmark: 1346.0226, usercpu_time_millis: 18390, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 18320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.5491, kappa: 0.3005, kb_relative_information_score: 5602.5996, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5484, predictive_accuracy: 0.55, prior_entropy: 1.5387, recall: 0.55, relative_absolute_error: 0.7547, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4805, root_relative_squared_error: 1.0357, scimark_benchmark: 1350.4825, usercpu_time_millis: 32400, usercpu_time_millis_testing: 5180, usercpu_time_millis_training: 27220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6527, f_measure: 0.4767, kappa: 0.2012, kb_relative_information_score: 1754.3025, mean_absolute_error: 0.4127, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.4815, predictive_accuracy: 0.4778, prior_entropy: 1.5387, recall: 0.4778, relative_absolute_error: 0.9584, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4509, root_relative_squared_error: 0.9719, scimark_benchmark: 1310.3168, usercpu_time_millis: 9423750, usercpu_time_millis_testing: 9423730, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.5064, kappa: 0.2343, kb_relative_information_score: 4551.8418, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5049, predictive_accuracy: 0.5089, prior_entropy: 1.5387, recall: 0.5089, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9971, scimark_benchmark: 1367.3264, usercpu_time_millis: 30120, usercpu_time_millis_testing: 8860, usercpu_time_millis_training: 21260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.5649, kappa: 0.3248, kb_relative_information_score: 4472.5134, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5638, predictive_accuracy: 0.5673, prior_entropy: 1.5387, recall: 0.5673, relative_absolute_error: 0.833, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.9192, scimark_benchmark: 1339.4412, usercpu_time_millis: 8040, usercpu_time_millis_testing: 620, usercpu_time_millis_training: 7420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.553, kappa: 0.3101, kb_relative_information_score: 4397.373, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5537, predictive_accuracy: 0.5538, prior_entropy: 1.5387, recall: 0.5538, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9262, scimark_benchmark: 1310.6554, usercpu_time_millis: 290, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.5409, kappa: 0.2866, kb_relative_information_score: 4655.9285, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5399, predictive_accuracy: 0.5436, prior_entropy: 1.5387, recall: 0.5436, relative_absolute_error: 0.8216, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.9383, scimark_benchmark: 1337.3324, usercpu_time_millis: 5050, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 4690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.553, kappa: 0.3101, kb_relative_information_score: 4397.373, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5537, predictive_accuracy: 0.5538, prior_entropy: 1.5387, recall: 0.5538, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9262, scimark_benchmark: 1337.3324, usercpu_time_millis: 360, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.5309, kappa: 0.2814, kb_relative_information_score: 4423.8661, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5359, predictive_accuracy: 0.5318, prior_entropy: 1.5387, recall: 0.5318, relative_absolute_error: 0.8369, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.9498, scimark_benchmark: 1313.5633, usercpu_time_millis: 660, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, f_measure: 0.5629, kappa: 0.321, kb_relative_information_score: 4364.4653, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5618, predictive_accuracy: 0.5663, prior_entropy: 1.5387, recall: 0.5663, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.9334, scimark_benchmark: 1335.2357, usercpu_time_millis: 570, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.5064, kappa: 0.2343, kb_relative_information_score: 4551.8418, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5049, predictive_accuracy: 0.5089, prior_entropy: 1.5387, recall: 0.5089, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9971, scimark_benchmark: 1345.6844, usercpu_time_millis: 47150, usercpu_time_millis_testing: 16890, usercpu_time_millis_training: 30260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.553, kappa: 0.3101, kb_relative_information_score: 4397.373, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5537, predictive_accuracy: 0.5538, prior_entropy: 1.5387, recall: 0.5538, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9262, scimark_benchmark: 1306.8702, usercpu_time_millis: 470, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.553, kappa: 0.3101, kb_relative_information_score: 4397.373, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5537, predictive_accuracy: 0.5538, prior_entropy: 1.5387, recall: 0.5538, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9262, scimark_benchmark: 1319.4538, usercpu_time_millis: 420, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.553, kappa: 0.3101, kb_relative_information_score: 4397.373, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5537, predictive_accuracy: 0.5538, prior_entropy: 1.5387, recall: 0.5538, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9262, scimark_benchmark: 1337.9552, usercpu_time_millis: 380, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.553, kappa: 0.3101, kb_relative_information_score: 4397.373, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5537, predictive_accuracy: 0.5538, prior_entropy: 1.5387, recall: 0.5538, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9262, scimark_benchmark: 1316.5668, usercpu_time_millis: 380, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.5309, kappa: 0.2814, kb_relative_information_score: 4423.8661, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5359, predictive_accuracy: 0.5318, prior_entropy: 1.5387, recall: 0.5318, relative_absolute_error: 0.8369, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.9498, scimark_benchmark: 1318.4315, usercpu_time_millis: 350, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, f_measure: 0.5629, kappa: 0.321, kb_relative_information_score: 4364.4653, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5618, predictive_accuracy: 0.5663, prior_entropy: 1.5387, recall: 0.5663, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.9334, scimark_benchmark: 1316.5668, usercpu_time_millis: 610, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.553, kappa: 0.3101, kb_relative_information_score: 4397.373, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5537, predictive_accuracy: 0.5538, prior_entropy: 1.5387, recall: 0.5538, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9262, scimark_benchmark: 1350.2591, usercpu_time_millis: 310, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.5309, kappa: 0.2814, kb_relative_information_score: 4423.8661, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5359, predictive_accuracy: 0.5318, prior_entropy: 1.5387, recall: 0.5318, relative_absolute_error: 0.8369, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.9498, scimark_benchmark: 1324.6442, usercpu_time_millis: 340, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, f_measure: 0.5629, kappa: 0.321, kb_relative_information_score: 4364.4653, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5618, predictive_accuracy: 0.5663, prior_entropy: 1.5387, recall: 0.5663, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.9334, scimark_benchmark: 1313.8988, usercpu_time_millis: 530, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.5064, kappa: 0.2343, kb_relative_information_score: 4551.8418, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5049, predictive_accuracy: 0.5089, prior_entropy: 1.5387, recall: 0.5089, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9971, scimark_benchmark: 1318.6467, usercpu_time_millis: 37170, usercpu_time_millis_testing: 10700, usercpu_time_millis_training: 26470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.553, kappa: 0.3101, kb_relative_information_score: 4397.373, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5537, predictive_accuracy: 0.5538, prior_entropy: 1.5387, recall: 0.5538, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9262, scimark_benchmark: 1324.8408, usercpu_time_millis: 360, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.553, kappa: 0.3101, kb_relative_information_score: 4397.373, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5537, predictive_accuracy: 0.5538, prior_entropy: 1.5387, recall: 0.5538, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9262, scimark_benchmark: 1338.5214, usercpu_time_millis: 300, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.553, kappa: 0.3101, kb_relative_information_score: 4397.373, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5537, predictive_accuracy: 0.5538, prior_entropy: 1.5387, recall: 0.5538, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9262, scimark_benchmark: 1340.9749, usercpu_time_millis: 320, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.5309, kappa: 0.2814, kb_relative_information_score: 4423.8661, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5359, predictive_accuracy: 0.5318, prior_entropy: 1.5387, recall: 0.5318, relative_absolute_error: 0.8369, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.9498, scimark_benchmark: 1338.5214, usercpu_time_millis: 350, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, f_measure: 0.5629, kappa: 0.321, kb_relative_information_score: 4364.4653, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5618, predictive_accuracy: 0.5663, prior_entropy: 1.5387, recall: 0.5663, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.9334, scimark_benchmark: 1332.9478, usercpu_time_millis: 660, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.5409, kappa: 0.2866, kb_relative_information_score: 4655.9285, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5399, predictive_accuracy: 0.5436, prior_entropy: 1.5387, recall: 0.5436, relative_absolute_error: 0.8216, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.9383, scimark_benchmark: 1349.1517, usercpu_time_millis: 5700, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 5180,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.743, f_measure: 0.5659, kappa: 0.3261, kb_relative_information_score: 4531.6561, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.565, predictive_accuracy: 0.5675, prior_entropy: 1.5387, recall: 0.5675, relative_absolute_error: 0.8305, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.9158, scimark_benchmark: 945.2015, usercpu_time_millis: 960970, usercpu_time_millis_testing: 18310, usercpu_time_millis_training: 942660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7437, f_measure: 0.5654, kappa: 0.3251, kb_relative_information_score: 4531.0812, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5646, predictive_accuracy: 0.5671, prior_entropy: 1.5387, recall: 0.5671, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.9152, scimark_benchmark: 904.5548, usercpu_time_millis: 1648660, usercpu_time_millis_testing: 46420, usercpu_time_millis_training: 1602240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.5654, kappa: 0.325, kb_relative_information_score: 4529.9849, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5645, predictive_accuracy: 0.567, prior_entropy: 1.5387, recall: 0.567, relative_absolute_error: 0.8305, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.9147, scimark_benchmark: 938.988, usercpu_time_millis: 3998530, usercpu_time_millis_testing: 145050, usercpu_time_millis_training: 3853480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.5064, kappa: 0.2343, kb_relative_information_score: 4551.8418, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5049, predictive_accuracy: 0.5089, prior_entropy: 1.5387, recall: 0.5089, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9971, scimark_benchmark: 945.6228, usercpu_time_millis: 35320, usercpu_time_millis_testing: 7510, usercpu_time_millis_training: 27810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.5649, kappa: 0.3248, kb_relative_information_score: 4472.5134, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5638, predictive_accuracy: 0.5673, prior_entropy: 1.5387, recall: 0.5673, relative_absolute_error: 0.833, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.9192, scimark_benchmark: 935.5664, usercpu_time_millis: 6280, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 6010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.553, kappa: 0.3101, kb_relative_information_score: 4397.373, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5537, predictive_accuracy: 0.5538, prior_entropy: 1.5387, recall: 0.5538, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9262, scimark_benchmark: 936.9595, usercpu_time_millis: 560, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.5409, kappa: 0.2866, kb_relative_information_score: 4655.9285, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5399, predictive_accuracy: 0.5436, prior_entropy: 1.5387, recall: 0.5436, relative_absolute_error: 0.8216, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.9383, scimark_benchmark: 941.4991, usercpu_time_millis: 7080, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 6710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.553, kappa: 0.3101, kb_relative_information_score: 4397.373, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5537, predictive_accuracy: 0.5538, prior_entropy: 1.5387, recall: 0.5538, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9262, scimark_benchmark: 930.404, usercpu_time_millis: 520, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.553, kappa: 0.3101, kb_relative_information_score: 4397.373, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5537, predictive_accuracy: 0.5538, prior_entropy: 1.5387, recall: 0.5538, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9262, scimark_benchmark: 938.1282, usercpu_time_millis: 500, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.553, kappa: 0.3101, kb_relative_information_score: 4397.373, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5537, predictive_accuracy: 0.5538, prior_entropy: 1.5387, recall: 0.5538, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9262, scimark_benchmark: 930.404, usercpu_time_millis: 430, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.5623, kappa: 0.3196, kb_relative_information_score: 6793.2365, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5631, predictive_accuracy: 0.5652, prior_entropy: 1.5387, recall: 0.5652, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.5384, root_relative_squared_error: 1.1604, scimark_benchmark: 919.3788, usercpu_time_millis: 1740120, usercpu_time_millis_testing: 643420, usercpu_time_millis_training: 1096700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.5623, kappa: 0.3196, kb_relative_information_score: 6793.2365, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5631, predictive_accuracy: 0.5652, prior_entropy: 1.5387, recall: 0.5652, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.5384, root_relative_squared_error: 1.1604, scimark_benchmark: 930.404, usercpu_time_millis: 1270260, usercpu_time_millis_testing: 480640, usercpu_time_millis_training: 789620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, f_measure: 0.5447, kappa: 0.2933, kb_relative_information_score: 3975.8974, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.551, predictive_accuracy: 0.5537, prior_entropy: 1.5387, recall: 0.5537, relative_absolute_error: 0.8565, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.9272, scimark_benchmark: 608.4057, usercpu_time_millis: 75420, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 75350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, f_measure: 0.5629, kappa: 0.321, kb_relative_information_score: 4364.4653, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5618, predictive_accuracy: 0.5663, prior_entropy: 1.5387, recall: 0.5663, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.9334, scimark_benchmark: 819.5729, usercpu_time_millis: 1020, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.5064, kappa: 0.2343, kb_relative_information_score: 4551.8418, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5049, predictive_accuracy: 0.5089, prior_entropy: 1.5387, recall: 0.5089, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9971, scimark_benchmark: 943.1009, usercpu_time_millis: 33730, usercpu_time_millis_testing: 8680, usercpu_time_millis_training: 25050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.5649, kappa: 0.3248, kb_relative_information_score: 4472.5134, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5638, predictive_accuracy: 0.5673, prior_entropy: 1.5387, recall: 0.5673, relative_absolute_error: 0.833, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.9192, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.553, kappa: 0.3101, kb_relative_information_score: 4397.373, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5537, predictive_accuracy: 0.5538, prior_entropy: 1.5387, recall: 0.5538, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9262, scimark_benchmark: 974.2014, usercpu_time_millis: 650, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.5309, kappa: 0.2814, kb_relative_information_score: 4423.8661, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5359, predictive_accuracy: 0.5318, prior_entropy: 1.5387, recall: 0.5318, relative_absolute_error: 0.8369, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.9498, scimark_benchmark: 932.438, usercpu_time_millis: 500, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.5623, kappa: 0.3196, kb_relative_information_score: 6793.2365, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5631, predictive_accuracy: 0.5652, prior_entropy: 1.5387, recall: 0.5652, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.5384, root_relative_squared_error: 1.1604, scimark_benchmark: 941.3847, usercpu_time_millis: 1179930, usercpu_time_millis_testing: 443750, usercpu_time_millis_training: 736180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.5623, kappa: 0.3196, kb_relative_information_score: 6793.2365, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5631, predictive_accuracy: 0.5652, prior_entropy: 1.5387, recall: 0.5652, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.5384, root_relative_squared_error: 1.1604, scimark_benchmark: 974.2014, usercpu_time_millis: 1364550, usercpu_time_millis_testing: 474270, usercpu_time_millis_training: 890280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.5064, kappa: 0.2343, kb_relative_information_score: 4551.8418, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5049, predictive_accuracy: 0.5089, prior_entropy: 1.5387, recall: 0.5089, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9971, scimark_benchmark: 931.771, usercpu_time_millis: 31250, usercpu_time_millis_testing: 7960, usercpu_time_millis_training: 23290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.5409, kappa: 0.2866, kb_relative_information_score: 4655.9285, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5399, predictive_accuracy: 0.5436, prior_entropy: 1.5387, recall: 0.5436, relative_absolute_error: 0.8216, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.9383, scimark_benchmark: 941.6675, usercpu_time_millis: 7150, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 6740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.553, kappa: 0.3101, kb_relative_information_score: 4397.373, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5537, predictive_accuracy: 0.5538, prior_entropy: 1.5387, recall: 0.5538, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9262, scimark_benchmark: 938.191, usercpu_time_millis: 660, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.5309, kappa: 0.2814, kb_relative_information_score: 4423.8661, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5359, predictive_accuracy: 0.5318, prior_entropy: 1.5387, recall: 0.5318, relative_absolute_error: 0.8369, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.9498, scimark_benchmark: 941.6675, usercpu_time_millis: 450, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, f_measure: 0.5447, kappa: 0.2933, kb_relative_information_score: 3975.8974, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.551, predictive_accuracy: 0.5537, prior_entropy: 1.5387, recall: 0.5537, relative_absolute_error: 0.8565, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.9272, scimark_benchmark: 851.2074, usercpu_time_millis: 45160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 45090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, f_measure: 0.5629, kappa: 0.321, kb_relative_information_score: 4364.4653, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5618, predictive_accuracy: 0.5663, prior_entropy: 1.5387, recall: 0.5663, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.9334, scimark_benchmark: 906.0979,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs