Task
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: 0.6854, 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: 906.0979,
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: 972.587, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, 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: 851.2074, usercpu_time_millis: 560, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 550,
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: 916.0735, usercpu_time_millis: 700, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 360,
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: 941.6675, usercpu_time_millis: 830, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 430,
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: 941.6675, 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: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, 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: 938.191, 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: 934.695,
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: 941.6675, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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: 905.2959,
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: 931.771, usercpu_time_millis: 330, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 290,
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: 937.5117, usercpu_time_millis: 820, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 480,
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: 943.1009, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
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: 943.1009, usercpu_time_millis: 370, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 320,
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: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 935.2002, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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: 608.4057, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
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: 859.5223, usercpu_time_millis: 690, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 340,
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: 930.404, 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: 938.1282, 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: 930.404, 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: 903.2737, 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: 933.3455, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
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: 730.6551, usercpu_time_millis: 24500, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 24270,
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: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_testing: 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: 941.4991, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
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: 936.9595, usercpu_time_millis: 250, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7648, kappa: 0.4228, kb_relative_information_score: 70.4067, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7652, predictive_accuracy: 0.7758, prior_entropy: 0.8818, recall: 0.7758, relative_absolute_error: 0.7766, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8734, scimark_benchmark: 938.988, usercpu_time_millis: 26110, usercpu_time_millis_testing: 7710, usercpu_time_millis_training: 18400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.7468, kappa: 0.3798, kb_relative_information_score: 69.8817, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7453, predictive_accuracy: 0.7576, prior_entropy: 0.8818, recall: 0.7576, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8805, scimark_benchmark: 934.695, usercpu_time_millis: 12120, usercpu_time_millis_testing: 3260, usercpu_time_millis_training: 8860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.7276, kappa: 0.3359, kb_relative_information_score: 70.0395, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7241, predictive_accuracy: 0.7364, prior_entropy: 0.8818, recall: 0.7364, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8847, scimark_benchmark: 917.2109, usercpu_time_millis: 5640, usercpu_time_millis_testing: 1110, usercpu_time_millis_training: 4530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, f_measure: 0.7668, kappa: 0.4299, kb_relative_information_score: 74.0626, mean_absolute_error: 0.3231, 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: 0.769, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8852, scimark_benchmark: 911.2316, usercpu_time_millis: 2630, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 2220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.7245, kappa: 0.3328, kb_relative_information_score: 66.5518, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7211, predictive_accuracy: 0.7303, prior_entropy: 0.8818, recall: 0.7303, relative_absolute_error: 0.7776, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.9093, scimark_benchmark: 889.4922, usercpu_time_millis: 1800, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 1600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.7313, kappa: 0.3455, kb_relative_information_score: 75.6521, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7279, predictive_accuracy: 0.7394, prior_entropy: 0.8818, recall: 0.7394, relative_absolute_error: 0.746, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.9087, scimark_benchmark: 929.0296, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.7313, kappa: 0.3455, kb_relative_information_score: 75.6521, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7279, predictive_accuracy: 0.7394, prior_entropy: 0.8818, recall: 0.7394, relative_absolute_error: 0.746, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.9087, scimark_benchmark: 926.5859, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.7313, kappa: 0.3455, kb_relative_information_score: 75.6521, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7279, predictive_accuracy: 0.7394, prior_entropy: 0.8818, recall: 0.7394, relative_absolute_error: 0.746, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.9087, scimark_benchmark: 936.1714, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.7401, kappa: 0.3664, kb_relative_information_score: 78.4875, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7372, predictive_accuracy: 0.7485, prior_entropy: 0.8818, recall: 0.7485, relative_absolute_error: 0.7395, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.9015, scimark_benchmark: 929.0296, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7219, f_measure: 0.6578, kappa: 0.1506, kb_relative_information_score: 71.3373, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.6685, predictive_accuracy: 0.7061, prior_entropy: 0.8818, recall: 0.7061, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9897, scimark_benchmark: 938.3115, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
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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: 899.1108, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 926.4745, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, 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: 869.7548, usercpu_time_millis: 500, usercpu_time_millis_training: 500,
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: 949.7766, usercpu_time_millis: 640, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 340,
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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: 938.838, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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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: 1338.5214, 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: 930.5999, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, 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: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 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: 1324.6442, 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: 1306.9281,
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: 1310.6554, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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: 1310.6554, usercpu_time_millis: 14070, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 13690,
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: 1374.9737, usercpu_time_millis: 240, usercpu_time_millis_testing: 70, 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: 1347.1763,
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: 1322.3407, 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: 1322.3407, 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: 1324.7884, 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: 1310.6554, 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: 1316.5668, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1371.4836, usercpu_time_millis: 15210, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 14810,
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: 1343.3311, usercpu_time_millis: 250, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 200,

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