Task
Supervised Classification on colic

Supervised Classification on colic

Task 1791 Supervised Classification colic 331 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8506, kappa: 0.6751, kb_relative_information_score: 954.9853, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8546, predictive_accuracy: 0.8538, prior_entropy: 0.9509, recall: 0.8538, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7364, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.829, kappa: 0.6305, kb_relative_information_score: 807.7044, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8288, predictive_accuracy: 0.8304, prior_entropy: 0.9509, recall: 0.8304, relative_absolute_error: 0.5871, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7647, scimark_benchmark: 972.587, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.806, kappa: 0.5825, kb_relative_information_score: 904.9178, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8056, predictive_accuracy: 0.8065, prior_entropy: 0.9509, recall: 0.8065, relative_absolute_error: 0.5177, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.8037, scimark_benchmark: 851.2074, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.666, kappa: 0.2718, kb_relative_information_score: 577.5844, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.6793, predictive_accuracy: 0.6897, prior_entropy: 0.9509, recall: 0.6897, relative_absolute_error: 0.6657, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.5571, root_relative_squared_error: 1.1541, scimark_benchmark: 916.0735, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8098, kappa: 0.592, kb_relative_information_score: 958.0374, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8099, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.8026, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8098, kappa: 0.592, kb_relative_information_score: 958.0374, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8099, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.8026, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.8479, kappa: 0.6703, kb_relative_information_score: 928.2029, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8491, predictive_accuracy: 0.85, prior_entropy: 0.9509, recall: 0.85, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7256, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8098, kappa: 0.592, kb_relative_information_score: 958.0374, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8099, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.8026, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8468, kappa: 0.6681, kb_relative_information_score: 780.5339, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8479, predictive_accuracy: 0.8489, prior_entropy: 0.9509, recall: 0.8489, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7276, scimark_benchmark: 931.771, usercpu_time_millis: 390, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.666, kappa: 0.2718, kb_relative_information_score: 577.5844, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.6793, predictive_accuracy: 0.6897, prior_entropy: 0.9509, recall: 0.6897, relative_absolute_error: 0.6657, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.5571, root_relative_squared_error: 1.1541, scimark_benchmark: 932.438, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.811, kappa: 0.5958, kb_relative_information_score: 981.4537, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8118, predictive_accuracy: 0.8103, prior_entropy: 0.9509, recall: 0.8103, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8397, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8098, kappa: 0.592, kb_relative_information_score: 958.0374, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8099, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.8026, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8012, kappa: 0.5726, kb_relative_information_score: 954.754, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8009, predictive_accuracy: 0.8016, prior_entropy: 0.9509, recall: 0.8016, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8198, scimark_benchmark: 943.1009, usercpu_time_millis: 1190, usercpu_time_millis_training: 1190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8468, kappa: 0.6681, kb_relative_information_score: 780.5339, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8479, predictive_accuracy: 0.8489, prior_entropy: 0.9509, recall: 0.8489, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7276, scimark_benchmark: 943.1009, usercpu_time_millis: 410, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8506, kappa: 0.6751, kb_relative_information_score: 954.9853, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8546, predictive_accuracy: 0.8538, prior_entropy: 0.9509, recall: 0.8538, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7364, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.829, kappa: 0.6305, kb_relative_information_score: 807.7044, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8288, predictive_accuracy: 0.8304, prior_entropy: 0.9509, recall: 0.8304, relative_absolute_error: 0.5871, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7647, scimark_benchmark: 935.2002, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.806, kappa: 0.5825, kb_relative_information_score: 904.9178, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8056, predictive_accuracy: 0.8065, prior_entropy: 0.9509, recall: 0.8065, relative_absolute_error: 0.5177, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.8037, scimark_benchmark: 936.2574, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.666, kappa: 0.2718, kb_relative_information_score: 577.5844, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.6793, predictive_accuracy: 0.6897, prior_entropy: 0.9509, recall: 0.6897, relative_absolute_error: 0.6657, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.5571, root_relative_squared_error: 1.1541, scimark_benchmark: 935.5664, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8098, kappa: 0.592, kb_relative_information_score: 958.0374, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8099, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.8026, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8098, kappa: 0.592, kb_relative_information_score: 958.0374, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8099, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.8026, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.8479, kappa: 0.6703, kb_relative_information_score: 928.2029, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8491, predictive_accuracy: 0.85, prior_entropy: 0.9509, recall: 0.85, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7256, scimark_benchmark: 941.4991, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.8028, kappa: 0.5734, kb_relative_information_score: 876.1703, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8026, predictive_accuracy: 0.8049, prior_entropy: 0.9509, recall: 0.8049, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7867, scimark_benchmark: 932.438, usercpu_time_millis: 3210, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 3150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8098, kappa: 0.592, kb_relative_information_score: 958.0374, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8099, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.8026, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8012, kappa: 0.5726, kb_relative_information_score: 954.754, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8009, predictive_accuracy: 0.8016, prior_entropy: 0.9509, recall: 0.8016, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8198, scimark_benchmark: 941.4991, usercpu_time_millis: 1150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8468, kappa: 0.6681, kb_relative_information_score: 780.5339, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8479, predictive_accuracy: 0.8489, prior_entropy: 0.9509, recall: 0.8489, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7276, scimark_benchmark: 936.9595, usercpu_time_millis: 450, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8452, kappa: 0.6644, kb_relative_information_score: 925.385, mean_absolute_error: 0.2443, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8463, predictive_accuracy: 0.8473, prior_entropy: 0.9509, recall: 0.8473, relative_absolute_error: 0.524, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.7108, scimark_benchmark: 938.4601, usercpu_time_millis: 7720, usercpu_time_millis_testing: 2820, usercpu_time_millis_training: 4900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.8415, kappa: 0.6566, kb_relative_information_score: 927.0389, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8422, predictive_accuracy: 0.8435, prior_entropy: 0.9509, recall: 0.8435, relative_absolute_error: 0.5214, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.7146, scimark_benchmark: 926.5462, usercpu_time_millis: 3730, usercpu_time_millis_testing: 1270, usercpu_time_millis_training: 2460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8378, kappa: 0.6488, kb_relative_information_score: 920.201, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8383, predictive_accuracy: 0.8397, prior_entropy: 0.9509, recall: 0.8397, relative_absolute_error: 0.5235, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.7197, scimark_benchmark: 928.7131, usercpu_time_millis: 2130, usercpu_time_millis_testing: 800, usercpu_time_millis_training: 1330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.8347, kappa: 0.6423, kb_relative_information_score: 917.1159, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8349, predictive_accuracy: 0.8364, prior_entropy: 0.9509, recall: 0.8364, relative_absolute_error: 0.5254, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7251, scimark_benchmark: 899.0468, usercpu_time_millis: 900, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8355, kappa: 0.6438, kb_relative_information_score: 909.6045, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8361, predictive_accuracy: 0.8375, prior_entropy: 0.9509, recall: 0.8375, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7384, scimark_benchmark: 889.4922, usercpu_time_millis: 430, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7919, kappa: 0.5526, kb_relative_information_score: 888.9986, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7916, predictive_accuracy: 0.7924, prior_entropy: 0.9509, recall: 0.7924, relative_absolute_error: 0.5169, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8448, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7919, kappa: 0.5526, kb_relative_information_score: 888.9986, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7916, predictive_accuracy: 0.7924, prior_entropy: 0.9509, recall: 0.7924, relative_absolute_error: 0.5169, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8448, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7919, kappa: 0.5526, kb_relative_information_score: 888.9986, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7916, predictive_accuracy: 0.7924, prior_entropy: 0.9509, recall: 0.7924, relative_absolute_error: 0.5169, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8448, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7946, kappa: 0.5583, kb_relative_information_score: 886.6074, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7943, predictive_accuracy: 0.7951, prior_entropy: 0.9509, recall: 0.7951, relative_absolute_error: 0.5195, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8415, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7944, kappa: 0.5575, kb_relative_information_score: 844.1175, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7939, predictive_accuracy: 0.7951, prior_entropy: 0.9509, recall: 0.7951, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8317, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4875, kb_relative_information_score: -1.371, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.3974, predictive_accuracy: 0.6304, prior_entropy: 0.9509, recall: 0.6304, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4827, root_relative_squared_error: 1, scimark_benchmark: 929.0296,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.824, kappa: 0.6205, kb_relative_information_score: 1115.8003, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8236, predictive_accuracy: 0.825, prior_entropy: 0.9509, recall: 0.825, relative_absolute_error: 0.3848, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.822, scimark_benchmark: 936.1714, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8468, kappa: 0.6681, kb_relative_information_score: 780.5339, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8479, predictive_accuracy: 0.8489, prior_entropy: 0.9509, recall: 0.8489, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7276, scimark_benchmark: 1316.5668, usercpu_time_millis: 570, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8506, kappa: 0.6751, kb_relative_information_score: 954.9853, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8546, predictive_accuracy: 0.8538, prior_entropy: 0.9509, recall: 0.8538, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7364, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.811, kappa: 0.5958, kb_relative_information_score: 981.4537, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8118, predictive_accuracy: 0.8103, prior_entropy: 0.9509, recall: 0.8103, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8397, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8098, kappa: 0.592, kb_relative_information_score: 958.0374, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8099, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.8026, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8098, kappa: 0.592, kb_relative_information_score: 958.0374, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8099, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.8026, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8098, kappa: 0.592, kb_relative_information_score: 958.0374, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8099, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.8026, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.8479, kappa: 0.6703, kb_relative_information_score: 928.2029, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8491, predictive_accuracy: 0.85, prior_entropy: 0.9509, recall: 0.85, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7256, scimark_benchmark: 1337.9552, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.8028, kappa: 0.5734, kb_relative_information_score: 876.1703, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8026, predictive_accuracy: 0.8049, prior_entropy: 0.9509, recall: 0.8049, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7867, scimark_benchmark: 1306.8702, usercpu_time_millis: 2640, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8098, kappa: 0.592, kb_relative_information_score: 958.0374, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8099, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.8026, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.811, kappa: 0.5958, kb_relative_information_score: 981.4537, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8118, predictive_accuracy: 0.8103, prior_entropy: 0.9509, recall: 0.8103, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8397, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8098, kappa: 0.592, kb_relative_information_score: 958.0374, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8099, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.8026, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8098, kappa: 0.592, kb_relative_information_score: 958.0374, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8099, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.8026, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.8028, kappa: 0.5734, kb_relative_information_score: 876.1703, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8026, predictive_accuracy: 0.8049, prior_entropy: 0.9509, recall: 0.8049, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7867, scimark_benchmark: 1317.5348, usercpu_time_millis: 2480, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8098, kappa: 0.592, kb_relative_information_score: 958.0374, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8099, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.8026, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8012, kappa: 0.5726, kb_relative_information_score: 954.754, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8009, predictive_accuracy: 0.8016, prior_entropy: 0.9509, recall: 0.8016, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8198, scimark_benchmark: 1309.2287, usercpu_time_millis: 1090, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.829, kappa: 0.6305, kb_relative_information_score: 807.7044, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8288, predictive_accuracy: 0.8304, prior_entropy: 0.9509, recall: 0.8304, relative_absolute_error: 0.5871, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7647, scimark_benchmark: 1310.3168, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.841, kappa: 0.6551, kb_relative_information_score: 945.978, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8425, predictive_accuracy: 0.8435, prior_entropy: 0.9509, recall: 0.8435, relative_absolute_error: 0.5176, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.7657, scimark_benchmark: 1330.4755, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.806, kappa: 0.5825, kb_relative_information_score: 904.9178, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8056, predictive_accuracy: 0.8065, prior_entropy: 0.9509, recall: 0.8065, relative_absolute_error: 0.5177, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.8037, scimark_benchmark: 1299.3719, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.666, kappa: 0.2718, kb_relative_information_score: 577.5844, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.6793, predictive_accuracy: 0.6897, prior_entropy: 0.9509, recall: 0.6897, relative_absolute_error: 0.6657, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.5571, root_relative_squared_error: 1.1541, scimark_benchmark: 1317.2327, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8098, kappa: 0.592, kb_relative_information_score: 958.0374, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8099, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.8026, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.8028, kappa: 0.5734, kb_relative_information_score: 876.1703, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8026, predictive_accuracy: 0.8049, prior_entropy: 0.9509, recall: 0.8049, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7867, scimark_benchmark: 1308.6872, usercpu_time_millis: 2690, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8468, kappa: 0.6681, kb_relative_information_score: 780.5339, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8479, predictive_accuracy: 0.8489, prior_entropy: 0.9509, recall: 0.8489, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7276, scimark_benchmark: 1303.3869, usercpu_time_millis: 590, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8506, kappa: 0.6751, kb_relative_information_score: 954.9853, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8546, predictive_accuracy: 0.8538, prior_entropy: 0.9509, recall: 0.8538, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7364, scimark_benchmark: 1349.9643, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, f_measure: 0.8171, kappa: 0.6129, kb_relative_information_score: 819.8542, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.822, predictive_accuracy: 0.8152, prior_entropy: 0.9509, recall: 0.8152, relative_absolute_error: 0.586, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7682, scimark_benchmark: 1323.4116, usercpu_time_millis: 310, usercpu_time_millis_testing: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8098, kappa: 0.592, kb_relative_information_score: 958.0374, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8099, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.8026, scimark_benchmark: 1365.0842,

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