OpenML
Supervised Classification on autos

Supervised Classification on autos

Task 1889 Supervised Classification autos 175 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.7646, kappa: 0.6964, kb_relative_information_score: 1419.8052, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7681, predictive_accuracy: 0.7659, prior_entropy: 2.3268, recall: 0.7659, relative_absolute_error: 0.3573, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7023, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.6552, kappa: 0.5558, kb_relative_information_score: 1069.1571, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6546, predictive_accuracy: 0.6595, prior_entropy: 2.3268, recall: 0.6595, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.8033, scimark_benchmark: 851.2074, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5138, f_measure: 0.1979, kappa: 0.0292, kb_relative_information_score: 337.3697, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.3722, predictive_accuracy: 0.3454, prior_entropy: 2.3268, recall: 0.3454, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4325, root_relative_squared_error: 1.3036, scimark_benchmark: 931.771, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.6488, kappa: 0.5494, kb_relative_information_score: 1047.9296, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6475, predictive_accuracy: 0.6561, prior_entropy: 2.3268, recall: 0.6561, relative_absolute_error: 0.609, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.267, root_relative_squared_error: 0.8049, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8343, kappa: 0.7844, kb_relative_information_score: 1387.8527, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8354, predictive_accuracy: 0.8346, prior_entropy: 2.3268, recall: 0.8346, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.5902, scimark_benchmark: 931.771, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5138, f_measure: 0.1979, kappa: 0.0292, kb_relative_information_score: 337.3697, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.3722, predictive_accuracy: 0.3454, prior_entropy: 2.3268, recall: 0.3454, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4325, root_relative_squared_error: 1.3036, scimark_benchmark: 937.5117, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.6631, kappa: 0.5728, kb_relative_information_score: 1249.7271, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6718, predictive_accuracy: 0.6668, prior_entropy: 2.3268, recall: 0.6668, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2811, root_relative_squared_error: 0.8472, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.7533, kappa: 0.685, kb_relative_information_score: 1411.3276, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7633, predictive_accuracy: 0.7595, prior_entropy: 2.3268, recall: 0.7595, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.7341, scimark_benchmark: 937.5117, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8343, kappa: 0.7844, kb_relative_information_score: 1387.8527, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8354, predictive_accuracy: 0.8346, prior_entropy: 2.3268, recall: 0.8346, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.5902, scimark_benchmark: 943.1009, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.7646, kappa: 0.6964, kb_relative_information_score: 1419.8052, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7681, predictive_accuracy: 0.7659, prior_entropy: 2.3268, recall: 0.7659, relative_absolute_error: 0.3573, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7023, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.6552, kappa: 0.5558, kb_relative_information_score: 1069.1571, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6546, predictive_accuracy: 0.6595, prior_entropy: 2.3268, recall: 0.6595, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.8033, scimark_benchmark: 608.4057, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5138, f_measure: 0.1979, kappa: 0.0292, kb_relative_information_score: 337.3697, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.3722, predictive_accuracy: 0.3454, prior_entropy: 2.3268, recall: 0.3454, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4325, root_relative_squared_error: 1.3036, scimark_benchmark: 859.5223, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5138, f_measure: 0.1979, kappa: 0.0292, kb_relative_information_score: 337.3697, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.3722, predictive_accuracy: 0.3454, prior_entropy: 2.3268, recall: 0.3454, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4325, root_relative_squared_error: 1.3036, scimark_benchmark: 919.3788, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.6488, kappa: 0.5494, kb_relative_information_score: 1047.9296, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6475, predictive_accuracy: 0.6561, prior_entropy: 2.3268, recall: 0.6561, relative_absolute_error: 0.609, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.267, root_relative_squared_error: 0.8049, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8343, kappa: 0.7844, kb_relative_information_score: 1387.8527, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8354, predictive_accuracy: 0.8346, prior_entropy: 2.3268, recall: 0.8346, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.5902, scimark_benchmark: 1051.249, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.8346, kappa: 0.7857, kb_relative_information_score: 1457.0797, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8361, predictive_accuracy: 0.8351, prior_entropy: 2.3268, recall: 0.8351, relative_absolute_error: 0.3773, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.555, scimark_benchmark: 851.2074, usercpu_time_millis: 7500, usercpu_time_millis_testing: 2560, usercpu_time_millis_training: 4940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.8302, kappa: 0.7798, kb_relative_information_score: 1455.1357, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8313, predictive_accuracy: 0.8307, prior_entropy: 2.3268, recall: 0.8307, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.5587, scimark_benchmark: 934.7923, usercpu_time_millis: 2740, usercpu_time_millis_testing: 850, usercpu_time_millis_training: 1890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.8268, kappa: 0.7754, kb_relative_information_score: 1452.0994, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8279, predictive_accuracy: 0.8273, prior_entropy: 2.3268, recall: 0.8273, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.5616, scimark_benchmark: 939.7241, usercpu_time_millis: 1210, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.8279, kappa: 0.7767, kb_relative_information_score: 1455.3653, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8291, predictive_accuracy: 0.8283, prior_entropy: 2.3268, recall: 0.8283, relative_absolute_error: 0.3744, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.5695, scimark_benchmark: 942.5233, usercpu_time_millis: 540, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8148, kappa: 0.7595, kb_relative_information_score: 1449.3276, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8157, predictive_accuracy: 0.8151, prior_entropy: 2.3268, recall: 0.8151, relative_absolute_error: 0.3763, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.5836, scimark_benchmark: 935.6052, usercpu_time_millis: 310, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4611, f_measure: 0.161, kb_relative_information_score: 2.7585, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3319, root_relative_squared_error: 1.0004, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.3336, kappa: 0.2157, kb_relative_information_score: 488.345, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.265, predictive_accuracy: 0.4502, prior_entropy: 2.3268, recall: 0.4502, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.9473, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.3336, kappa: 0.2157, kb_relative_information_score: 488.345, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.265, predictive_accuracy: 0.4502, prior_entropy: 2.3268, recall: 0.4502, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.9473, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.3336, kappa: 0.2157, kb_relative_information_score: 488.345, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.265, predictive_accuracy: 0.4502, prior_entropy: 2.3268, recall: 0.4502, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.9473, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.3336, kappa: 0.2157, kb_relative_information_score: 488.345, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.265, predictive_accuracy: 0.4502, prior_entropy: 2.3268, recall: 0.4502, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.9473, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.3336, kappa: 0.2157, kb_relative_information_score: 488.345, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.265, predictive_accuracy: 0.4502, prior_entropy: 2.3268, recall: 0.4502, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.9473, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.161, kb_relative_information_score: 298.5033, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 0.8706, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4386, root_relative_squared_error: 1.3219, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.7749, kappa: 0.7158, kb_relative_information_score: 1310.0652, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7857, predictive_accuracy: 0.7824, prior_entropy: 2.3268, recall: 0.7824, relative_absolute_error: 0.4675, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.6371, scimark_benchmark: 906.0884, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8331, kappa: 0.7832, kb_relative_information_score: 1381.8878, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.834, predictive_accuracy: 0.8332, prior_entropy: 2.3268, recall: 0.8332, relative_absolute_error: 0.419, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.5868, scimark_benchmark: 845.538, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, f_measure: 0.3811, kappa: 0.267, kb_relative_information_score: 368.7821, mean_absolute_error: 0.2001, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.4804, predictive_accuracy: 0.4873, prior_entropy: 2.3268, recall: 0.4873, relative_absolute_error: 0.9057, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.9355, scimark_benchmark: 931.7994,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.6552, kappa: 0.5558, kb_relative_information_score: 1069.1571, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6546, predictive_accuracy: 0.6595, prior_entropy: 2.3268, recall: 0.6595, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.8033, scimark_benchmark: 934.929, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1334.9442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1332.3382, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.7533, kappa: 0.685, kb_relative_information_score: 1411.3276, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7633, predictive_accuracy: 0.7595, prior_entropy: 2.3268, recall: 0.7595, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.7341, scimark_benchmark: 1330.3852, usercpu_time_millis: 460, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8343, kappa: 0.7844, kb_relative_information_score: 1387.8527, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8354, predictive_accuracy: 0.8346, prior_entropy: 2.3268, recall: 0.8346, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.5902, scimark_benchmark: 1351.1238, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.7646, kappa: 0.6964, kb_relative_information_score: 1419.8052, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7681, predictive_accuracy: 0.7659, prior_entropy: 2.3268, recall: 0.7659, relative_absolute_error: 0.3573, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7023, scimark_benchmark: 1308.6872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1356.4396, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1337.797, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1350.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1370.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.7646, kappa: 0.6964, kb_relative_information_score: 1419.8052, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7681, predictive_accuracy: 0.7659, prior_entropy: 2.3268, recall: 0.7659, relative_absolute_error: 0.3573, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7023, scimark_benchmark: 1350.4825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5138, f_measure: 0.1979, kappa: 0.0292, kb_relative_information_score: 337.3697, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.3722, predictive_accuracy: 0.3454, prior_entropy: 2.3268, recall: 0.3454, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4325, root_relative_squared_error: 1.3036, scimark_benchmark: 1327.3335, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1322.7257, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.7533, kappa: 0.685, kb_relative_information_score: 1411.3276, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7633, predictive_accuracy: 0.7595, prior_entropy: 2.3268, recall: 0.7595, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.7341, scimark_benchmark: 1278.6629, usercpu_time_millis: 480, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8343, kappa: 0.7844, kb_relative_information_score: 1387.8527, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8354, predictive_accuracy: 0.8346, prior_entropy: 2.3268, recall: 0.8346, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.5902, scimark_benchmark: 1326.8946, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.7533, kappa: 0.685, kb_relative_information_score: 1411.3276, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7633, predictive_accuracy: 0.7595, prior_entropy: 2.3268, recall: 0.7595, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.7341, scimark_benchmark: 1335.5424, usercpu_time_millis: 460, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.7646, kappa: 0.6964, kb_relative_information_score: 1419.8052, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7681, predictive_accuracy: 0.7659, prior_entropy: 2.3268, recall: 0.7659, relative_absolute_error: 0.3573, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7023, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.405, kappa: 0.2655, kb_relative_information_score: 579.8294, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.5676, predictive_accuracy: 0.4741, prior_entropy: 2.3268, recall: 0.4741, relative_absolute_error: 0.8528, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.9167, scimark_benchmark: 926.6704, usercpu_time_millis: 240, usercpu_time_millis_testing: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.6631, kappa: 0.5728, kb_relative_information_score: 1249.7271, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6718, predictive_accuracy: 0.6668, prior_entropy: 2.3268, recall: 0.6668, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2811, root_relative_squared_error: 0.8472, scimark_benchmark: 1313.5052, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.7646, kappa: 0.6964, kb_relative_information_score: 1419.8052, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7681, predictive_accuracy: 0.7659, prior_entropy: 2.3268, recall: 0.7659, relative_absolute_error: 0.3573, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7023, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8004, kappa: 0.7398, kb_relative_information_score: 1541.0057, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8038, predictive_accuracy: 0.8005, prior_entropy: 2.3268, recall: 0.8005, relative_absolute_error: 0.2623, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.6673, scimark_benchmark: 1327.2954, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.7189, kappa: 0.642, kb_relative_information_score: 1045.5098, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7164, predictive_accuracy: 0.7278, prior_entropy: 2.3268, recall: 0.7278, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.245, root_relative_squared_error: 0.7386, scimark_benchmark: 1347.5461, usercpu_time_millis: 270, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.7145, kappa: 0.6362, kb_relative_information_score: 1044.7415, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7118, predictive_accuracy: 0.7234, prior_entropy: 2.3268, recall: 0.7234, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.7392, scimark_benchmark: 909.1698, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,

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