Task
Supervised Classification on balance-scale

Supervised Classification on balance-scale

Task 241 Supervised Classification balance-scale 301 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.8224, kappa: 0.7315, kb_relative_information_score: 129.8778, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.8113, predictive_accuracy: 0.8495, prior_entropy: 1.3212, recall: 0.8495, relative_absolute_error: 0.3919, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.6935, kappa: 0.5193, kb_relative_information_score: 86.3209, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6787, predictive_accuracy: 0.733, prior_entropy: 1.3212, recall: 0.733, relative_absolute_error: 0.5964, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.37, root_relative_squared_error: 0.8365, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.777, kappa: 0.672, kb_relative_information_score: 116.4064, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7421, predictive_accuracy: 0.8204, prior_entropy: 1.3212, recall: 0.8204, relative_absolute_error: 0.4294, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.6548, scimark_benchmark: 851.2074, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.8183, kappa: 0.7534, kb_relative_information_score: 144.2354, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7785, predictive_accuracy: 0.8641, prior_entropy: 1.3212, recall: 0.8641, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6805, scimark_benchmark: 941.6675, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.6935, kappa: 0.5193, kb_relative_information_score: 76.7712, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6787, predictive_accuracy: 0.733, prior_entropy: 1.3212, recall: 0.733, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.7894, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.6935, kappa: 0.5193, kb_relative_information_score: 76.7712, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6787, predictive_accuracy: 0.733, prior_entropy: 1.3212, recall: 0.733, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.7894, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.7674, kappa: 0.6565, kb_relative_information_score: 100.629, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7297, predictive_accuracy: 0.8107, prior_entropy: 1.3212, recall: 0.8107, relative_absolute_error: 0.5214, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.6964, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.6935, kappa: 0.5193, kb_relative_information_score: 76.7712, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6787, predictive_accuracy: 0.733, prior_entropy: 1.3212, recall: 0.733, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.7894, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.6935, kappa: 0.5193, kb_relative_information_score: 69.5953, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6787, predictive_accuracy: 0.733, prior_entropy: 1.3212, recall: 0.733, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7982, scimark_benchmark: 927.2917, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.7921, kappa: 0.675, kb_relative_information_score: 115.3749, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7705, predictive_accuracy: 0.8155, prior_entropy: 1.3212, recall: 0.8155, relative_absolute_error: 0.4256, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6633, scimark_benchmark: 931.771, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.8183, kappa: 0.7534, kb_relative_information_score: 144.2354, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7785, predictive_accuracy: 0.8641, prior_entropy: 1.3212, recall: 0.8641, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6805, scimark_benchmark: 937.5117, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.6935, kappa: 0.5193, kb_relative_information_score: 69.8804, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6787, predictive_accuracy: 0.733, prior_entropy: 1.3212, recall: 0.733, relative_absolute_error: 0.6817, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.353, root_relative_squared_error: 0.7979, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.6935, kappa: 0.5193, kb_relative_information_score: 76.7712, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6787, predictive_accuracy: 0.733, prior_entropy: 1.3212, recall: 0.733, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.7894, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.6935, kappa: 0.5193, kb_relative_information_score: 76.7712, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6787, predictive_accuracy: 0.733, prior_entropy: 1.3212, recall: 0.733, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.7894, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.6935, kappa: 0.5193, kb_relative_information_score: 69.5953, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6787, predictive_accuracy: 0.733, prior_entropy: 1.3212, recall: 0.733, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7982, scimark_benchmark: 937.5117, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.7921, kappa: 0.675, kb_relative_information_score: 115.3749, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7705, predictive_accuracy: 0.8155, prior_entropy: 1.3212, recall: 0.8155, relative_absolute_error: 0.4256, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6633, scimark_benchmark: 943.1009, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.6935, kappa: 0.5193, kb_relative_information_score: 86.3209, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6787, predictive_accuracy: 0.733, prior_entropy: 1.3212, recall: 0.733, relative_absolute_error: 0.5964, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.37, root_relative_squared_error: 0.8365, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.777, kappa: 0.672, kb_relative_information_score: 116.4064, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7421, predictive_accuracy: 0.8204, prior_entropy: 1.3212, recall: 0.8204, relative_absolute_error: 0.4294, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.6548, scimark_benchmark: 608.4057, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.8183, kappa: 0.7534, kb_relative_information_score: 144.2354, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7785, predictive_accuracy: 0.8641, prior_entropy: 1.3212, recall: 0.8641, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6805, 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: 0.8422, f_measure: 0.6935, kappa: 0.5193, kb_relative_information_score: 76.7712, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6787, predictive_accuracy: 0.733, prior_entropy: 1.3212, recall: 0.733, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.7894, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.6935, kappa: 0.5193, kb_relative_information_score: 76.7712, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6787, predictive_accuracy: 0.733, prior_entropy: 1.3212, recall: 0.733, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.7894, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.7674, kappa: 0.6565, kb_relative_information_score: 100.629, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7297, predictive_accuracy: 0.8107, prior_entropy: 1.3212, recall: 0.8107, relative_absolute_error: 0.5214, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.6964, scimark_benchmark: 941.4991, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.6935, kappa: 0.5193, kb_relative_information_score: 76.7712, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6787, predictive_accuracy: 0.733, prior_entropy: 1.3212, recall: 0.733, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.7894, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.6935, kappa: 0.5193, kb_relative_information_score: 69.5953, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6787, predictive_accuracy: 0.733, prior_entropy: 1.3212, recall: 0.733, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7982, scimark_benchmark: 936.3213, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.7921, kappa: 0.675, kb_relative_information_score: 115.3749, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7705, predictive_accuracy: 0.8155, prior_entropy: 1.3212, recall: 0.8155, relative_absolute_error: 0.4256, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6633, scimark_benchmark: 936.9595, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8524, kappa: 0.783, kb_relative_information_score: 148.2449, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.8582, predictive_accuracy: 0.8786, prior_entropy: 1.3212, recall: 0.8786, relative_absolute_error: 0.3279, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.5248, scimark_benchmark: 1171.0303, usercpu_time_millis: 3440, usercpu_time_millis_testing: 1770, usercpu_time_millis_training: 1670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.8333, kappa: 0.7643, kb_relative_information_score: 148.6048, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.824, predictive_accuracy: 0.8689, prior_entropy: 1.3212, recall: 0.8689, relative_absolute_error: 0.3235, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.5194, scimark_benchmark: 901.6243, usercpu_time_millis: 730, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8511, kappa: 0.7823, kb_relative_information_score: 145.7941, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.8692, predictive_accuracy: 0.8786, prior_entropy: 1.3212, recall: 0.8786, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.5305, scimark_benchmark: 917.2109, usercpu_time_millis: 370, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.843, kappa: 0.7657, kb_relative_information_score: 146.3447, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.8497, predictive_accuracy: 0.8689, prior_entropy: 1.3212, recall: 0.8689, relative_absolute_error: 0.3246, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.5274, scimark_benchmark: 911.2316, usercpu_time_millis: 200, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.8555, kappa: 0.7833, kb_relative_information_score: 148.5089, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.8755, predictive_accuracy: 0.8786, prior_entropy: 1.3212, recall: 0.8786, relative_absolute_error: 0.3292, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.5407, scimark_benchmark: 889.4922, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2557, kb_relative_information_score: 2.0184, mean_absolute_error: 0.3835, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.1825, predictive_accuracy: 0.4272, prior_entropy: 1.3212, recall: 0.4272, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.4432, root_relative_squared_error: 1.0018, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.6982, kappa: 0.5231, kb_relative_information_score: 56.1051, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6627, predictive_accuracy: 0.7379, prior_entropy: 1.3212, recall: 0.7379, relative_absolute_error: 0.8019, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.825, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.6982, kappa: 0.5231, kb_relative_information_score: 56.1051, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6627, predictive_accuracy: 0.7379, prior_entropy: 1.3212, recall: 0.7379, relative_absolute_error: 0.8019, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.825, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.6982, kappa: 0.5231, kb_relative_information_score: 56.1051, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6627, predictive_accuracy: 0.7379, prior_entropy: 1.3212, recall: 0.7379, relative_absolute_error: 0.8019, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.825, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.6982, kappa: 0.5231, kb_relative_information_score: 56.1051, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6627, predictive_accuracy: 0.7379, prior_entropy: 1.3212, recall: 0.7379, relative_absolute_error: 0.8019, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.825, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.7112, kappa: 0.5474, kb_relative_information_score: 93.7127, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6804, predictive_accuracy: 0.7524, prior_entropy: 1.3212, recall: 0.7524, relative_absolute_error: 0.5313, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7909, 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: 0.2557, kb_relative_information_score: 7.3721, mean_absolute_error: 0.3819, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.1825, predictive_accuracy: 0.4272, prior_entropy: 1.3212, recall: 0.4272, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.618, root_relative_squared_error: 1.3969, scimark_benchmark: 938.3115,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.7691, kappa: 0.6568, kb_relative_information_score: 97.6285, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7316, predictive_accuracy: 0.8107, prior_entropy: 1.3212, recall: 0.8107, relative_absolute_error: 0.5391, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.705, scimark_benchmark: 899.1108, usercpu_time_millis: 860, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 850,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.6935, kappa: 0.5193, kb_relative_information_score: 76.7712, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6787, predictive_accuracy: 0.733, prior_entropy: 1.3212, recall: 0.733, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.7894, scimark_benchmark: 1324.9809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.6935, kappa: 0.5193, kb_relative_information_score: 69.5953, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6787, predictive_accuracy: 0.733, prior_entropy: 1.3212, recall: 0.733, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7982, scimark_benchmark: 1343.3311, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.7921, kappa: 0.675, kb_relative_information_score: 115.3749, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7705, predictive_accuracy: 0.8155, prior_entropy: 1.3212, recall: 0.8155, relative_absolute_error: 0.4256, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6633, scimark_benchmark: 1397.3209, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.6935, kappa: 0.5193, kb_relative_information_score: 86.3209, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6787, predictive_accuracy: 0.733, prior_entropy: 1.3212, recall: 0.733, relative_absolute_error: 0.5964, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.37, root_relative_squared_error: 0.8365, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.8183, kappa: 0.7534, kb_relative_information_score: 144.2354, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7785, predictive_accuracy: 0.8641, prior_entropy: 1.3212, recall: 0.8641, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6805, scimark_benchmark: 1299.9304, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.7921, kappa: 0.675, kb_relative_information_score: 115.3749, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7705, predictive_accuracy: 0.8155, prior_entropy: 1.3212, recall: 0.8155, relative_absolute_error: 0.4256, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6633, scimark_benchmark: 1322.7257, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.6935, kappa: 0.5193, kb_relative_information_score: 76.7712, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6787, predictive_accuracy: 0.733, prior_entropy: 1.3212, recall: 0.733, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.7894, scimark_benchmark: 1335.5424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.8183, kappa: 0.7534, kb_relative_information_score: 144.2354, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7785, predictive_accuracy: 0.8641, prior_entropy: 1.3212, recall: 0.8641, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6805, scimark_benchmark: 935.5075, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.6935, kappa: 0.5193, kb_relative_information_score: 69.8804, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6787, predictive_accuracy: 0.733, prior_entropy: 1.3212, recall: 0.733, relative_absolute_error: 0.6817, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.353, root_relative_squared_error: 0.7979, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.6935, kappa: 0.5193, kb_relative_information_score: 76.7712, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6787, predictive_accuracy: 0.733, prior_entropy: 1.3212, recall: 0.733, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.7894, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.6935, kappa: 0.5193, kb_relative_information_score: 69.8804, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6787, predictive_accuracy: 0.733, prior_entropy: 1.3212, recall: 0.733, relative_absolute_error: 0.6817, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.353, root_relative_squared_error: 0.7979, scimark_benchmark: 1312.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.6935, kappa: 0.5193, kb_relative_information_score: 76.7712, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6787, predictive_accuracy: 0.733, prior_entropy: 1.3212, recall: 0.733, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.7894, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.6935, kappa: 0.5193, kb_relative_information_score: 76.7712, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6787, predictive_accuracy: 0.733, prior_entropy: 1.3212, recall: 0.733, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.7894, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.6935, kappa: 0.5193, kb_relative_information_score: 69.8804, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6787, predictive_accuracy: 0.733, prior_entropy: 1.3212, recall: 0.733, relative_absolute_error: 0.6817, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.353, root_relative_squared_error: 0.7979, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.6935, kappa: 0.5193, kb_relative_information_score: 86.3209, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6787, predictive_accuracy: 0.733, prior_entropy: 1.3212, recall: 0.733, relative_absolute_error: 0.5964, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.37, root_relative_squared_error: 0.8365, scimark_benchmark: 1064.8317, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.6935, kappa: 0.5193, kb_relative_information_score: 86.3209, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6787, predictive_accuracy: 0.733, prior_entropy: 1.3212, recall: 0.733, relative_absolute_error: 0.5964, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.37, root_relative_squared_error: 0.8365, scimark_benchmark: 1151.6869, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7512, kappa: 0.6053, kb_relative_information_score: 114.3211, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7315, predictive_accuracy: 0.7767, prior_entropy: 1.3212, recall: 0.7767, relative_absolute_error: 0.44, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.8128, scimark_benchmark: 1340.1351, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.6935, kappa: 0.5193, kb_relative_information_score: 86.3209, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6787, predictive_accuracy: 0.733, prior_entropy: 1.3212, recall: 0.733, relative_absolute_error: 0.5964, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.37, root_relative_squared_error: 0.8365, scimark_benchmark: 1350.2369, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.6935, kappa: 0.5193, kb_relative_information_score: 86.3209, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6787, predictive_accuracy: 0.733, prior_entropy: 1.3212, recall: 0.733, relative_absolute_error: 0.5964, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.37, root_relative_squared_error: 0.8365, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.8654, kappa: 0.7933, kb_relative_information_score: 163.7799, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.8771, predictive_accuracy: 0.8835, prior_entropy: 1.3212, recall: 0.8835, relative_absolute_error: 0.2295, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.5277, scimark_benchmark: 1368.9272, usercpu_time_millis: 360, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.777, kappa: 0.672, kb_relative_information_score: 116.4064, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7421, predictive_accuracy: 0.8204, prior_entropy: 1.3212, recall: 0.8204, relative_absolute_error: 0.4294, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.6548, scimark_benchmark: 885.0921, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.7857, kappa: 0.6915, kb_relative_information_score: 52.5355, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7464, predictive_accuracy: 0.8301, prior_entropy: 1.3212, recall: 0.8301, relative_absolute_error: 0.7763, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.363, root_relative_squared_error: 0.8206, scimark_benchmark: 885.0921, usercpu_time_millis: 320, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 230,

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