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Supervised Classification on credit-g

Supervised Classification on credit-g

Task 261 Supervised Classification credit-g 225 runs submitted
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  • bandit_run testtesttest under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.7028, kappa: 0.2649, kb_relative_information_score: 13.1018, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7022, predictive_accuracy: 0.7242, prior_entropy: 0.8818, recall: 0.7242, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.9433, scimark_benchmark: 1345.6844, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4892, f_measure: 0.5691, kappa: -0.0297, kb_relative_information_score: 64.3927, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.4868, predictive_accuracy: 0.6848, prior_entropy: 0.8818, recall: 0.6848, relative_absolute_error: 0.7501, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5614, root_relative_squared_error: 1.225, scimark_benchmark: 1307.9497, usercpu_time_millis: 1040, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4892, f_measure: 0.5691, kappa: -0.0297, kb_relative_information_score: 64.3927, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.4868, predictive_accuracy: 0.6848, prior_entropy: 0.8818, recall: 0.6848, relative_absolute_error: 0.7501, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5614, root_relative_squared_error: 1.225, scimark_benchmark: 1333.0982, usercpu_time_millis: 1050, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.7323, kappa: 0.3495, kb_relative_information_score: 74.5988, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.729, predictive_accuracy: 0.7394, prior_entropy: 0.8818, recall: 0.7394, relative_absolute_error: 0.7534, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.9201, scimark_benchmark: 1346.4374, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.7521, kappa: 0.3916, kb_relative_information_score: 80.6617, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7515, predictive_accuracy: 0.7636, prior_entropy: 0.8818, recall: 0.7636, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.898, scimark_benchmark: 1346.4374, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.7521, kappa: 0.3916, kb_relative_information_score: 80.6617, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7515, predictive_accuracy: 0.7636, prior_entropy: 0.8818, recall: 0.7636, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.898, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.7521, kappa: 0.3916, kb_relative_information_score: 80.6617, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7515, predictive_accuracy: 0.7636, prior_entropy: 0.8818, recall: 0.7636, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.898, scimark_benchmark: 1337.1928, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.7254, kappa: 0.325, kb_relative_information_score: 61.3549, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7234, predictive_accuracy: 0.7394, prior_entropy: 0.8818, recall: 0.7394, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.9118, scimark_benchmark: 1313.5633, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.7411, kappa: 0.3703, kb_relative_information_score: 91.3089, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7381, predictive_accuracy: 0.7485, prior_entropy: 0.8818, recall: 0.7485, relative_absolute_error: 0.6999, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.9134, scimark_benchmark: 1313.11, usercpu_time_millis: 16180, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 15780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.7521, kappa: 0.3916, kb_relative_information_score: 80.6617, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7515, predictive_accuracy: 0.7636, prior_entropy: 0.8818, recall: 0.7636, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.898, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.7356, kappa: 0.3505, kb_relative_information_score: 91.206, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7341, predictive_accuracy: 0.7485, prior_entropy: 0.8818, recall: 0.7485, relative_absolute_error: 0.7028, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.432, root_relative_squared_error: 0.9428, scimark_benchmark: 1311.5017, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7267, kappa: 0.3209, kb_relative_information_score: 58.6684, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7474, predictive_accuracy: 0.7576, prior_entropy: 0.8818, recall: 0.7576, relative_absolute_error: 0.819, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8921, scimark_benchmark: 1310.6554, usercpu_time_millis: 200, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.6977, kappa: 0.2753, kb_relative_information_score: 42.2122, mean_absolute_error: 0.3577, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.6958, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9825, scimark_benchmark: 1310.3168, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 77.1535, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952, scimark_benchmark: 1331.0047, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.7458, kappa: 0.3888, kb_relative_information_score: 58.3793, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7437, predictive_accuracy: 0.7485, prior_entropy: 0.8818, recall: 0.7485, relative_absolute_error: 0.8059, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.9287, scimark_benchmark: 1345.7919, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4892, f_measure: 0.5691, kappa: -0.0297, kb_relative_information_score: 64.3927, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.4868, predictive_accuracy: 0.6848, prior_entropy: 0.8818, recall: 0.6848, relative_absolute_error: 0.7501, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5614, root_relative_squared_error: 1.225, scimark_benchmark: 1303.9481, usercpu_time_millis: 1040, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.7521, kappa: 0.3916, kb_relative_information_score: 80.6617, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7515, predictive_accuracy: 0.7636, prior_entropy: 0.8818, recall: 0.7636, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.898, scimark_benchmark: 1396.1629, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.7521, kappa: 0.3916, kb_relative_information_score: 80.6617, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7515, predictive_accuracy: 0.7636, prior_entropy: 0.8818, recall: 0.7636, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.898, scimark_benchmark: 1349.8336, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.7356, kappa: 0.3505, kb_relative_information_score: 91.206, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7341, predictive_accuracy: 0.7485, prior_entropy: 0.8818, recall: 0.7485, relative_absolute_error: 0.7028, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.432, root_relative_squared_error: 0.9428, scimark_benchmark: 1312.3892, usercpu_time_millis: 280, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4892, f_measure: 0.5691, kappa: -0.0297, kb_relative_information_score: 64.3927, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.4868, predictive_accuracy: 0.6848, prior_entropy: 0.8818, recall: 0.6848, relative_absolute_error: 0.7501, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5614, root_relative_squared_error: 1.225, scimark_benchmark: 1322.7257, usercpu_time_millis: 980, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.7521, kappa: 0.3916, kb_relative_information_score: 80.6617, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7515, predictive_accuracy: 0.7636, prior_entropy: 0.8818, recall: 0.7636, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.898, scimark_benchmark: 1370.1799, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7267, kappa: 0.3209, kb_relative_information_score: 58.6684, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7474, predictive_accuracy: 0.7576, prior_entropy: 0.8818, recall: 0.7576, relative_absolute_error: 0.819, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8921, scimark_benchmark: 1404.0159, usercpu_time_millis: 270, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4892, f_measure: 0.5691, kappa: -0.0297, kb_relative_information_score: 64.3927, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.4868, predictive_accuracy: 0.6848, prior_entropy: 0.8818, recall: 0.6848, relative_absolute_error: 0.7501, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5614, root_relative_squared_error: 1.225, scimark_benchmark: 1334.1324, usercpu_time_millis: 1000, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7267, kappa: 0.3209, kb_relative_information_score: 58.6684, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7474, predictive_accuracy: 0.7576, prior_entropy: 0.8818, recall: 0.7576, relative_absolute_error: 0.819, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8921, scimark_benchmark: 1322.7257, usercpu_time_millis: 210, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.7028, kappa: 0.2649, kb_relative_information_score: 13.1018, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7022, predictive_accuracy: 0.7242, prior_entropy: 0.8818, recall: 0.7242, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.9433, scimark_benchmark: 1371.9645, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.7411, kappa: 0.3703, kb_relative_information_score: 91.3089, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7381, predictive_accuracy: 0.7485, prior_entropy: 0.8818, recall: 0.7485, relative_absolute_error: 0.6999, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.9134, scimark_benchmark: 1297.2338, usercpu_time_millis: 25470, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 25100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.7323, kappa: 0.3495, kb_relative_information_score: 74.5988, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.729, predictive_accuracy: 0.7394, prior_entropy: 0.8818, recall: 0.7394, relative_absolute_error: 0.7534, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.9201, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.7521, kappa: 0.3916, kb_relative_information_score: 80.6617, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7515, predictive_accuracy: 0.7636, prior_entropy: 0.8818, recall: 0.7636, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.898, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.6977, kappa: 0.2753, kb_relative_information_score: 42.2122, mean_absolute_error: 0.3577, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.6958, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9825, scimark_benchmark: 1261.7298, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.7254, kappa: 0.325, kb_relative_information_score: 61.3549, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7234, predictive_accuracy: 0.7394, prior_entropy: 0.8818, recall: 0.7394, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.9118, scimark_benchmark: 1352.1128, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.7521, kappa: 0.3916, kb_relative_information_score: 80.6617, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7515, predictive_accuracy: 0.7636, prior_entropy: 0.8818, recall: 0.7636, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.898, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.7521, kappa: 0.3916, kb_relative_information_score: 80.6617, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7515, predictive_accuracy: 0.7636, prior_entropy: 0.8818, recall: 0.7636, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.898, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.7521, kappa: 0.3916, kb_relative_information_score: 80.6617, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7515, predictive_accuracy: 0.7636, prior_entropy: 0.8818, recall: 0.7636, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.898, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4892, f_measure: 0.5691, kappa: -0.0297, kb_relative_information_score: 64.3927, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.4868, predictive_accuracy: 0.6848, prior_entropy: 0.8818, recall: 0.6848, relative_absolute_error: 0.7501, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5614, root_relative_squared_error: 1.225, scimark_benchmark: 1315.933, usercpu_time_millis: 1110, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.7521, kappa: 0.3916, kb_relative_information_score: 80.6617, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7515, predictive_accuracy: 0.7636, prior_entropy: 0.8818, recall: 0.7636, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.898, scimark_benchmark: 1350.073, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.7254, kappa: 0.325, kb_relative_information_score: 61.3549, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7234, predictive_accuracy: 0.7394, prior_entropy: 0.8818, recall: 0.7394, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.9118, scimark_benchmark: 1312.0581, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6811, f_measure: 0.7448, kappa: 0.3797, kb_relative_information_score: 120.5403, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7419, predictive_accuracy: 0.7515, prior_entropy: 0.8818, recall: 0.7515, relative_absolute_error: 0.5914, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0878, scimark_benchmark: 1339.944, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, f_measure: 0.7419, kappa: 0.3662, kb_relative_information_score: 53.9716, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.741, predictive_accuracy: 0.7545, prior_entropy: 0.8818, recall: 0.7545, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8928, scimark_benchmark: 1334.9657, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.737, kappa: 0.3686, kb_relative_information_score: 77.4494, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7351, predictive_accuracy: 0.7394, prior_entropy: 0.8818, recall: 0.7394, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.9036, scimark_benchmark: 1368.9272, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7453, f_measure: 0.5765, kb_relative_information_score: 22.9141, mean_absolute_error: 0.3735, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.8889, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.9417, scimark_benchmark: 1367.8403, usercpu_time_millis: 2020, usercpu_time_millis_testing: 2020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6241, f_measure: 0.6936, kappa: 0.2579, kb_relative_information_score: 76.8319, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.6893, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.7154, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5469, root_relative_squared_error: 1.1935, scimark_benchmark: 1307.3269, usercpu_time_millis: 110, usercpu_time_millis_testing: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6241, f_measure: 0.6936, kappa: 0.2579, kb_relative_information_score: 77.1535, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.6893, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952, scimark_benchmark: 1342.5243, usercpu_time_millis: 350, usercpu_time_millis_testing: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.1923, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1264.6103, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, f_measure: 0.7136, kappa: 0.3041, kb_relative_information_score: 42.289, mean_absolute_error: 0.3574, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7096, predictive_accuracy: 0.7212, prior_entropy: 0.8818, recall: 0.7212, relative_absolute_error: 0.8506, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.9289, scimark_benchmark: 1335.693, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.7028, kappa: 0.2649, kb_relative_information_score: 13.1018, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7022, predictive_accuracy: 0.7242, prior_entropy: 0.8818, recall: 0.7242, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.9433, scimark_benchmark: 1324.3755, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7732, f_measure: 0.7521, kappa: 0.3916, kb_relative_information_score: 90.4625, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7515, predictive_accuracy: 0.7636, prior_entropy: 0.8818, recall: 0.7636, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.9183, scimark_benchmark: 1307.7326, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.7458, kappa: 0.3888, kb_relative_information_score: 58.3793, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7437, predictive_accuracy: 0.7485, prior_entropy: 0.8818, recall: 0.7485, relative_absolute_error: 0.8059, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.9287, scimark_benchmark: 1307.8775, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6278, f_measure: 0.6489, kappa: 0.1278, kb_relative_information_score: 71.6641, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.6508, predictive_accuracy: 0.6939, prior_entropy: 0.8818, recall: 0.6939, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5115, root_relative_squared_error: 1.1163, scimark_benchmark: 1332.0036, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.6713, kappa: 0.193, kb_relative_information_score: 44.8833, mean_absolute_error: 0.3665, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7455, predictive_accuracy: 0.7364, prior_entropy: 0.8818, recall: 0.7364, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.9081, scimark_benchmark: 1356.9539, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, f_measure: 0.7407, kappa: 0.3622, kb_relative_information_score: 62.9666, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7405, predictive_accuracy: 0.7545, prior_entropy: 0.8818, recall: 0.7545, relative_absolute_error: 0.8019, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8926, scimark_benchmark: 1345.0332, usercpu_time_millis: 900, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.7668, kappa: 0.4299, kb_relative_information_score: 63.8528, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7659, predictive_accuracy: 0.7758, prior_entropy: 0.8818, recall: 0.7758, relative_absolute_error: 0.7969, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.416, root_relative_squared_error: 0.9078, scimark_benchmark: 1327.4647, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.7254, kappa: 0.325, kb_relative_information_score: 61.3549, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7234, predictive_accuracy: 0.7394, prior_entropy: 0.8818, recall: 0.7394, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.9118, scimark_benchmark: 1321.1875, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.6977, kappa: 0.2753, kb_relative_information_score: 42.2122, mean_absolute_error: 0.3577, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.6958, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9825, scimark_benchmark: 1386.5717, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.6802, kappa: 0.3099, kb_relative_information_score: -98.3451, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7257, predictive_accuracy: 0.6667, prior_entropy: 0.8818, recall: 0.6667, relative_absolute_error: 1.1649, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4899, root_relative_squared_error: 1.069, scimark_benchmark: 906.4475, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: -0.1407, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6176, f_measure: 0.7009, kappa: 0.2631, kb_relative_information_score: 30.4122, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.6976, predictive_accuracy: 0.7182, prior_entropy: 0.8818, recall: 0.7182, relative_absolute_error: 0.9095, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.9639, scimark_benchmark: 938.0414, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.7028, kappa: 0.2649, kb_relative_information_score: 13.1018, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7022, predictive_accuracy: 0.7242, prior_entropy: 0.8818, recall: 0.7242, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.9433, scimark_benchmark: 876.0664, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6039, f_measure: 0.6551, kappa: 0.1629, kb_relative_information_score: 35.5583, mean_absolute_error: 0.3585, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.6493, predictive_accuracy: 0.6636, prior_entropy: 0.8818, recall: 0.6636, relative_absolute_error: 0.8531, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5428, root_relative_squared_error: 1.1844, scimark_benchmark: 1339.4189, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, f_measure: 0.683, kappa: 0.2162, kb_relative_information_score: 46.0604, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.728, predictive_accuracy: 0.7364, prior_entropy: 0.8818, recall: 0.7364, relative_absolute_error: 0.8697, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.9105, scimark_benchmark: 876.0664, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.7115, kappa: 0.2832, kb_relative_information_score: 48.0395, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.737, predictive_accuracy: 0.7485, prior_entropy: 0.8818, recall: 0.7485, relative_absolute_error: 0.8537, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.9069, scimark_benchmark: 932.0242, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.7309, kappa: 0.3539, kb_relative_information_score: 73.3435, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7289, predictive_accuracy: 0.7333, prior_entropy: 0.8818, recall: 0.7333, relative_absolute_error: 0.7505, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.9232, scimark_benchmark: 1299.5783, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7469, f_measure: 0.6868, kappa: 0.2231, kb_relative_information_score: 53.0332, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.688, predictive_accuracy: 0.7152, prior_entropy: 0.8818, recall: 0.7152, relative_absolute_error: 0.8231, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.9244, scimark_benchmark: 1465.2979, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.7407, kappa: 0.3622, kb_relative_information_score: 63.824, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7405, predictive_accuracy: 0.7545, prior_entropy: 0.8818, recall: 0.7545, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8941, scimark_benchmark: 1339.3974, usercpu_time_millis: 460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.6999, kappa: 0.2548, kb_relative_information_score: 69.1734, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7232, predictive_accuracy: 0.7394, prior_entropy: 0.8818, recall: 0.7394, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.9108, scimark_benchmark: 1336.2509, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.7555, kappa: 0.4078, kb_relative_information_score: 78.6848, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7529, predictive_accuracy: 0.7606, prior_entropy: 0.8818, recall: 0.7606, relative_absolute_error: 0.7439, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8859, scimark_benchmark: 915.6729, usercpu_time_millis: 430, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 420,

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