Task
Supervised Classification on aids

Supervised Classification on aids

Task 3503 Supervised Classification aids 498 runs submitted
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  • study_1 study_107 study_41 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.7792, kappa: 0.56, kb_relative_information_score: 29.9908, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7841, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.4019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.7735, scimark_benchmark: 918.6005, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, f_measure: 0.7987, kappa: 0.6, kb_relative_information_score: 23.5873, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8079, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.5475, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.8473, scimark_benchmark: 942.6843, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.6753, kappa: 0.36, kb_relative_information_score: 15.1753, mean_absolute_error: 0.354, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.691, predictive_accuracy: 0.68, prior_entropy: 1, recall: 0.68, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.9398, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5888, f_measure: 0.5942, kappa: 0.2, kb_relative_information_score: 8.4913, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6061, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8383, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5052, root_relative_squared_error: 1.0103, scimark_benchmark: 1321.9426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6168, f_measure: 0.6347, kappa: 0.28, kb_relative_information_score: 9.3066, mean_absolute_error: 0.4149, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6486, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.8299, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.492, root_relative_squared_error: 0.9841, scimark_benchmark: 933.3136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4456, f_measure: 0.5226, kappa: 0.12, kb_relative_information_score: -0.4044, mean_absolute_error: 0.5079, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5874, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 1.0159, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5412, root_relative_squared_error: 1.0824, scimark_benchmark: 1287.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.392, f_measure: 0.4724, kappa: -0.04, kb_relative_information_score: -4.8772, mean_absolute_error: 0.5526, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4788, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 1.1051, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6069, root_relative_squared_error: 1.2139, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.54, f_measure: 0.5308, kappa: 0.08, kb_relative_information_score: 4, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5434, predictive_accuracy: 0.54, prior_entropy: 1, recall: 0.54, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3565, scimark_benchmark: 1318.1432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.38, f_measure: 0.3798, kappa: -0.24, kb_relative_information_score: -12, mean_absolute_error: 0.62, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.3798, predictive_accuracy: 0.38, prior_entropy: 1, recall: 0.38, relative_absolute_error: 1.24, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7874, root_relative_squared_error: 1.5748, scimark_benchmark: 939.5088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.26, f_measure: 0.2597, kappa: -0.48, kb_relative_information_score: -24, mean_absolute_error: 0.74, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2596, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.48, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8602, root_relative_squared_error: 1.7205, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.6604, kappa: 0.36, kb_relative_information_score: 6.4325, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7339, predictive_accuracy: 0.68, prior_entropy: 1, recall: 0.68, relative_absolute_error: 0.8891, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.465, root_relative_squared_error: 0.93, scimark_benchmark: 942.9518, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.46, f_measure: 0.458, kappa: -0.08, kb_relative_information_score: -4, mean_absolute_error: 0.54, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4594, predictive_accuracy: 0.46, prior_entropy: 1, recall: 0.46, relative_absolute_error: 1.08, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7348, root_relative_squared_error: 1.4697, scimark_benchmark: 916.5955, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3776, f_measure: 0.3798, kappa: -0.24, kb_relative_information_score: -3.0637, mean_absolute_error: 0.52, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.3798, predictive_accuracy: 0.38, prior_entropy: 1, recall: 0.38, relative_absolute_error: 1.0401, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5592, root_relative_squared_error: 1.1184, scimark_benchmark: 882.7843, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4344, f_measure: 0.4833, kb_relative_information_score: 1.5667, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5314, root_relative_squared_error: 1.0629, scimark_benchmark: 1368.9272, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.416, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -4.1376, mean_absolute_error: 0.5347, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5755, root_relative_squared_error: 1.151, scimark_benchmark: 1307.3269, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4888, f_measure: 0.5192, kappa: 0.04, kb_relative_information_score: 0.5081, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5201, predictive_accuracy: 0.52, prior_entropy: 1, recall: 0.52, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6966, root_relative_squared_error: 1.3932, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5912, f_measure: 0.5824, kappa: 0.24, kb_relative_information_score: 9.0699, mean_absolute_error: 0.4121, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6875, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.8241, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4764, root_relative_squared_error: 0.9528, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.6427, kappa: 0.32, kb_relative_information_score: 13.6701, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6984, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.7389, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.463, root_relative_squared_error: 0.926, scimark_benchmark: 1313.5726, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3, f_measure: 0.2997, kappa: -0.4, kb_relative_information_score: -20, mean_absolute_error: 0.7, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2997, predictive_accuracy: 0.3, prior_entropy: 1, recall: 0.3, relative_absolute_error: 1.4, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8367, root_relative_squared_error: 1.6733, scimark_benchmark: 1442.7264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 10, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, f_measure: 0.5308, kappa: 0.08, kb_relative_information_score: 6.6012, mean_absolute_error: 0.4344, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5434, predictive_accuracy: 0.54, prior_entropy: 1, recall: 0.54, relative_absolute_error: 0.8688, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.539, root_relative_squared_error: 1.078, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.6198, kappa: 0.24, kb_relative_information_score: 12, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6202, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.76, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.2329, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2976, f_measure: 0.3798, kappa: -0.24, kb_relative_information_score: -11.6106, mean_absolute_error: 0.6156, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.3798, predictive_accuracy: 0.38, prior_entropy: 1, recall: 0.38, relative_absolute_error: 1.2311, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7721, root_relative_squared_error: 1.5441, scimark_benchmark: 917.4321, usercpu_time_millis: 990, usercpu_time_millis_training: 990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.6305, kappa: 0.28, kb_relative_information_score: 14, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.656, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.72, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2, scimark_benchmark: 1363.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -0.3037, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0045, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5872, f_measure: 0.5925, kappa: 0.24, kb_relative_information_score: 8.7863, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6645, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.8305, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9904, scimark_benchmark: 1480.5705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4752, f_measure: 0.6007, kappa: 0.24, kb_relative_information_score: 3.7986, mean_absolute_error: 0.4691, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6488, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5607, root_relative_squared_error: 1.1215, scimark_benchmark: 945.7621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4784, f_measure: 0.618, kappa: 0.28, kb_relative_information_score: 5.0777, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6819, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.9154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.0905, scimark_benchmark: 943.2817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4784, f_measure: 0.618, kappa: 0.28, kb_relative_information_score: 5.0777, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6819, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.9154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.0905, scimark_benchmark: 943.2817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4784, f_measure: 0.618, kappa: 0.28, kb_relative_information_score: 5.0777, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6819, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.9154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.0905, scimark_benchmark: 943.2817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7112, f_measure: 0.6588, kappa: 0.32, kb_relative_information_score: 15.9784, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6623, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.6833, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5409, root_relative_squared_error: 1.0818, scimark_benchmark: 911.3823, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6192, f_measure: 0.5798, kappa: 0.16, kb_relative_information_score: 8.9726, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5801, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5729, root_relative_squared_error: 1.1457, scimark_benchmark: 936.6206, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6048, f_measure: 0.5785, kappa: 0.16, kb_relative_information_score: 7.7942, mean_absolute_error: 0.4249, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5812, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.8498, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.1618, scimark_benchmark: 945.6434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6288, f_measure: 0.5798, kappa: 0.16, kb_relative_information_score: 8.6489, mean_absolute_error: 0.4155, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5801, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.8311, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5419, root_relative_squared_error: 1.0837, scimark_benchmark: 938.2848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.588, f_measure: 0.5572, kappa: 0.12, kb_relative_information_score: 6.3263, mean_absolute_error: 0.4354, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5616, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.8708, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5344, root_relative_squared_error: 1.0688, scimark_benchmark: 938.4285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.8599, kappa: 0.72, kb_relative_information_score: 33.1324, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8606, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.3483, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7058, scimark_benchmark: 945.7621, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.7997, kappa: 0.6, kb_relative_information_score: 28.6666, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8019, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7364, scimark_benchmark: 945.6434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.7585, kappa: 0.52, kb_relative_information_score: 21.14, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7668, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.5979, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8316, scimark_benchmark: 943.2817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.7348, kappa: 0.48, kb_relative_information_score: 18.4846, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7604, predictive_accuracy: 0.74, prior_entropy: 1, recall: 0.74, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8218, scimark_benchmark: 910.8389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.694, kappa: 0.4, kb_relative_information_score: 12.0504, mean_absolute_error: 0.3911, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.717, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.7823, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9149, scimark_benchmark: 931.2336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -0.3037, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0045, scimark_benchmark: 932.3943,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, build_cpu_time: 0.0755, build_memory: 25606690.4, f_measure: 0.6186, kappa: 0.24, kb_relative_information_score: 12.7829, mean_absolute_error: 0.3735, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6218, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.7469, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5724, root_relative_squared_error: 1.1447, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5992, build_cpu_time: 0.1137, build_memory: 599000165.6, f_measure: 0.5974, kappa: 0.2, kb_relative_information_score: 8.5562, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6026, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8348, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6298, root_relative_squared_error: 1.2597, scimark_benchmark: 946.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5528, build_cpu_time: 0.2834, build_memory: 312978832.8, f_measure: 0.4792, kappa: -0.04, kb_relative_information_score: -1.1155, mean_absolute_error: 0.5092, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4799, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 1.0184, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7018, root_relative_squared_error: 1.4036, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, build_cpu_time: 2.8742, build_memory: 340218580.8, f_measure: 0.6599, kappa: 0.32, kb_relative_information_score: 15.2849, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6603, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.695, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.583, root_relative_squared_error: 1.166, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, build_cpu_time: 1.4268, build_memory: 775047363.2, f_measure: 0.6394, kappa: 0.28, kb_relative_information_score: 13.818, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6409, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5908, root_relative_squared_error: 1.1815, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, build_cpu_time: 0.8072, build_memory: 164709919.2, f_measure: 0.5994, kappa: 0.2, kb_relative_information_score: 10.9785, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6006, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.604, root_relative_squared_error: 1.2079, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, build_cpu_time: 0.3836, build_memory: 212202866.4, f_measure: 0.5994, kappa: 0.2, kb_relative_information_score: 9.7288, mean_absolute_error: 0.4003, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6006, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6052, root_relative_squared_error: 1.2104, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, build_cpu_time: 0.264, build_memory: 102041719.2, f_measure: 0.6377, kappa: 0.28, kb_relative_information_score: 14.0424, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6437, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.7189, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5508, root_relative_squared_error: 1.1016, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5984, build_cpu_time: 0.0544, build_memory: 229059493.6, f_measure: 0.5169, kappa: 0.04, kb_relative_information_score: 2.5575, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5205, predictive_accuracy: 0.52, prior_entropy: 1, recall: 0.52, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6496, root_relative_squared_error: 1.2993, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.636, build_cpu_time: 0.0939, build_memory: 2588384991.2, f_measure: 0.5994, kappa: 0.2, kb_relative_information_score: 10.8268, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6006, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6133, root_relative_squared_error: 1.2267, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, build_cpu_time: 0.109, build_memory: 1111150748.8, f_measure: 0.6198, kappa: 0.24, kb_relative_information_score: 12.593, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6202, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.7472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6026, root_relative_squared_error: 1.2053, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, build_cpu_time: 0.3719, build_memory: 1030670192.8, f_measure: 0.6394, kappa: 0.28, kb_relative_information_score: 13.8874, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6409, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.723, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5952, root_relative_squared_error: 1.1903, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, build_cpu_time: 0.4585, build_memory: 759362234.4, f_measure: 0.6394, kappa: 0.28, kb_relative_information_score: 13.9986, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6409, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.72, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6, root_relative_squared_error: 1.1999, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.632, build_cpu_time: 0.0086, build_memory: 1655662564.8, f_measure: 0.6124, kappa: 0.24, kb_relative_information_score: 8.9491, mean_absolute_error: 0.4155, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6302, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.8311, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5472, root_relative_squared_error: 1.0943, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.632, build_cpu_time: 0.0072, build_memory: 459919095.2, f_measure: 0.6124, kappa: 0.24, kb_relative_information_score: 8.9491, mean_absolute_error: 0.4155, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6302, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.8311, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5472, root_relative_squared_error: 1.0943, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.632, build_cpu_time: 0.0066, build_memory: 1317668880, f_measure: 0.6124, kappa: 0.24, kb_relative_information_score: 8.9491, mean_absolute_error: 0.4155, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6302, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.8311, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5472, root_relative_squared_error: 1.0943, scimark_benchmark: 906.6607,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs