Task
Supervised Classification on tae

Supervised Classification on tae

Task 4523 Supervised Classification tae 229 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, build_cpu_time: 0.0149, build_memory: 980166663.7563, f_measure: 0.7319, kappa: 0.3947, kb_relative_information_score: 368.0655, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.732, predictive_accuracy: 0.7404, prior_entropy: 0.9308, recall: 0.7404, relative_absolute_error: 0.7632, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.434, root_relative_squared_error: 0.9134, scimark_benchmark: 937.1107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7608, build_cpu_time: 0.0421, build_memory: 3091452422.1033, f_measure: 0.733, kappa: 0.3977, kb_relative_information_score: 373.2919, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7328, predictive_accuracy: 0.7411, prior_entropy: 0.9308, recall: 0.7411, relative_absolute_error: 0.7606, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.9053, scimark_benchmark: 933.5066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, build_cpu_time: 0.0522, build_memory: 722875566.1563, f_measure: 0.7322, kappa: 0.3964, kb_relative_information_score: 376.8637, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7317, predictive_accuracy: 0.7397, prior_entropy: 0.9308, recall: 0.7397, relative_absolute_error: 0.758, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.8992, scimark_benchmark: 940.6657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, build_cpu_time: 0.1056, build_memory: 499862582.506, f_measure: 0.7309, kappa: 0.3933, kb_relative_information_score: 377.622, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7302, predictive_accuracy: 0.7384, prior_entropy: 0.9308, recall: 0.7384, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.8971, scimark_benchmark: 946.4651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, build_cpu_time: 0.1291, build_memory: 813542078.6861, f_measure: 0.7309, kappa: 0.3933, kb_relative_information_score: 377.622, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7302, predictive_accuracy: 0.7384, prior_entropy: 0.9308, recall: 0.7384, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.8971, scimark_benchmark: 947.4108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7602, build_cpu_time: 0.4555, build_memory: 1737098603.4384, f_measure: 0.7286, kappa: 0.3873, kb_relative_information_score: 326.2524, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7284, predictive_accuracy: 0.7371, prior_entropy: 0.9308, recall: 0.7371, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.9023, scimark_benchmark: 746.9409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, build_cpu_time: 0.2667, build_memory: 1238481148.4291, f_measure: 0.7305, kappa: 0.3916, kb_relative_information_score: 328.7125, mean_absolute_error: 0.3584, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7305, predictive_accuracy: 0.7391, prior_entropy: 0.9308, recall: 0.7391, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.9035, scimark_benchmark: 745.9045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.738, build_cpu_time: 0.0232, build_memory: 1037992432.1854, f_measure: 0.7091, kappa: 0.3461, kb_relative_information_score: 517.1031, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7069, predictive_accuracy: 0.7152, prior_entropy: 0.9308, recall: 0.7152, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.0604, scimark_benchmark: 890.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, build_cpu_time: 0.0481, build_memory: 365234267.7828, f_measure: 0.735, kappa: 0.4069, kb_relative_information_score: 593.4468, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7333, predictive_accuracy: 0.7384, prior_entropy: 0.9308, recall: 0.7384, relative_absolute_error: 0.5828, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4861, root_relative_squared_error: 1.0229, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7765, build_cpu_time: 0.1028, build_memory: 525662318.5907, f_measure: 0.7705, kappa: 0.4896, kb_relative_information_score: 701.0434, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7697, predictive_accuracy: 0.7715, prior_entropy: 0.9308, recall: 0.7715, relative_absolute_error: 0.5153, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9807, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, build_cpu_time: 0.2166, build_memory: 1274669139.8517, f_measure: 0.7717, kappa: 0.4932, kb_relative_information_score: 718.2312, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7712, predictive_accuracy: 0.7722, prior_entropy: 0.9308, recall: 0.7722, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.9818, scimark_benchmark: 945.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7852, build_cpu_time: 0.3708, build_memory: 617437358.2834, f_measure: 0.7739, kappa: 0.4987, kb_relative_information_score: 719.6261, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7737, predictive_accuracy: 0.7742, prior_entropy: 0.9308, recall: 0.7742, relative_absolute_error: 0.502, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9842, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, f_measure: 0.7138, kappa: 0.3514, kb_relative_information_score: 349.5824, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7165, predictive_accuracy: 0.7272, prior_entropy: 0.9308, recall: 0.7272, relative_absolute_error: 0.7814, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.9798, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.5193, kb_relative_information_score: -1.8091, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.4299, predictive_accuracy: 0.6556, prior_entropy: 0.9308, recall: 0.6556, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0003, scimark_benchmark: 1418.5826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.617, f_measure: 0.6687, kappa: 0.2499, kb_relative_information_score: 404.1858, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6669, predictive_accuracy: 0.6828, prior_entropy: 0.9308, recall: 0.6828, relative_absolute_error: 0.7015, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5632, root_relative_squared_error: 1.1853, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5412, f_measure: 0.593, kappa: 0.0854, kb_relative_information_score: 121.0055, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.5875, predictive_accuracy: 0.6013, prior_entropy: 0.9308, recall: 0.6013, relative_absolute_error: 0.8817, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.6314, root_relative_squared_error: 1.3288, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6349, f_measure: 0.709, kappa: 0.3407, kb_relative_information_score: 342.7544, mean_absolute_error: 0.3533, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7112, predictive_accuracy: 0.7225, prior_entropy: 0.9308, recall: 0.7225, relative_absolute_error: 0.7813, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4663, root_relative_squared_error: 0.9813, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5738, f_measure: 0.5157, kappa: 0.1212, kb_relative_information_score: -173.6861, mean_absolute_error: 0.4834, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6302, predictive_accuracy: 0.5166, prior_entropy: 0.9308, recall: 0.5166, relative_absolute_error: 1.0691, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.6953, root_relative_squared_error: 1.4633, scimark_benchmark: 1294.7826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7219, f_measure: 0.7541, kappa: 0.4513, kb_relative_information_score: 659.7387, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7528, predictive_accuracy: 0.7563, prior_entropy: 0.9308, recall: 0.7563, relative_absolute_error: 0.5389, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.0389, scimark_benchmark: 1359.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.6935, kappa: 0.3152, kb_relative_information_score: 325.7971, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6913, predictive_accuracy: 0.6967, prior_entropy: 0.9308, recall: 0.6967, relative_absolute_error: 0.7794, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4837, root_relative_squared_error: 1.0179, scimark_benchmark: 1318.1432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6169, f_measure: 0.6518, kappa: 0.213, kb_relative_information_score: 154.1085, mean_absolute_error: 0.4033, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6481, predictive_accuracy: 0.6642, prior_entropy: 0.9308, recall: 0.6642, relative_absolute_error: 0.8919, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4839, root_relative_squared_error: 1.0184, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7596, f_measure: 0.7833, kappa: 0.5247, kb_relative_information_score: 709.3186, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7862, predictive_accuracy: 0.7815, prior_entropy: 0.9308, recall: 0.7815, relative_absolute_error: 0.5104, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9943, scimark_benchmark: 1316.0472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7596, f_measure: 0.7833, kappa: 0.5247, kb_relative_information_score: 709.3186, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7862, predictive_accuracy: 0.7815, prior_entropy: 0.9308, recall: 0.7815, relative_absolute_error: 0.5104, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9943, scimark_benchmark: 1333.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7763, kappa: 0.5067, kb_relative_information_score: 531.238, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7774, predictive_accuracy: 0.7755, prior_entropy: 0.9308, recall: 0.7755, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8604, scimark_benchmark: 1319.6463, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6934, f_measure: 0.6951, kappa: 0.3092, kb_relative_information_score: 220.834, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6962, predictive_accuracy: 0.7093, prior_entropy: 0.9308, recall: 0.7093, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9397, scimark_benchmark: 869.6028, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.5948, kappa: 0.0956, kb_relative_information_score: 111.7964, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.5917, predictive_accuracy: 0.5987, prior_entropy: 0.9308, recall: 0.5987, relative_absolute_error: 0.8875, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.6335, root_relative_squared_error: 1.3332, scimark_benchmark: 1331.6907, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6227, f_measure: 0.6359, kappa: 0.1732, kb_relative_information_score: 136.3274, mean_absolute_error: 0.4144, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6363, predictive_accuracy: 0.6616, prior_entropy: 0.9308, recall: 0.6616, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9784, scimark_benchmark: 932.5646, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5577, f_measure: 0.6165, kappa: 0.1301, kb_relative_information_score: 295.9787, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6191, predictive_accuracy: 0.6517, prior_entropy: 0.9308, recall: 0.6517, relative_absolute_error: 0.7703, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5902, root_relative_squared_error: 1.2421, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5193, kb_relative_information_score: 309.7924, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.4299, predictive_accuracy: 0.6556, prior_entropy: 0.9308, recall: 0.6556, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5868, root_relative_squared_error: 1.235, scimark_benchmark: 1335.643, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5468, f_measure: 0.5391, kappa: 0.0823, kb_relative_information_score: -132.2451, mean_absolute_error: 0.4715, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.5922, predictive_accuracy: 0.5285, prior_entropy: 0.9308, recall: 0.5285, relative_absolute_error: 1.0427, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.6867, root_relative_squared_error: 1.4451, scimark_benchmark: 1325.2092, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.701, kappa: 0.3543, kb_relative_information_score: 398.4971, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7112, predictive_accuracy: 0.696, prior_entropy: 0.9308, recall: 0.696, relative_absolute_error: 0.7134, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.9633, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.7233, kappa: 0.3949, kb_relative_information_score: 316.1366, mean_absolute_error: 0.3543, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7277, predictive_accuracy: 0.7205, prior_entropy: 0.9308, recall: 0.7205, relative_absolute_error: 0.7836, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9456, scimark_benchmark: 883.2709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6353, f_measure: 0.6063, kappa: 0.1072, kb_relative_information_score: 136.1655, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.607, predictive_accuracy: 0.643, prior_entropy: 0.9308, recall: 0.643, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4718, root_relative_squared_error: 0.9929, scimark_benchmark: 934.1747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.6142, kappa: 0.1241, kb_relative_information_score: 155.9673, mean_absolute_error: 0.4044, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6128, predictive_accuracy: 0.6444, prior_entropy: 0.9308, recall: 0.6444, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4713, root_relative_squared_error: 0.9918, scimark_benchmark: 937.1527, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6672, f_measure: 0.6522, kappa: 0.2103, kb_relative_information_score: 208.6053, mean_absolute_error: 0.3904, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6535, predictive_accuracy: 0.6748, prior_entropy: 0.9308, recall: 0.6748, relative_absolute_error: 0.8633, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9793, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.6785, kappa: 0.2706, kb_relative_information_score: 254.4253, mean_absolute_error: 0.3783, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6801, predictive_accuracy: 0.696, prior_entropy: 0.9308, recall: 0.696, relative_absolute_error: 0.8366, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9645, scimark_benchmark: 825.5282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7007, f_measure: 0.6995, kappa: 0.3202, kb_relative_information_score: 304.7262, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6992, predictive_accuracy: 0.7113, prior_entropy: 0.9308, recall: 0.7113, relative_absolute_error: 0.8045, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9522, scimark_benchmark: 912.5006, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6025, f_measure: 0.6947, kappa: 0.3098, kb_relative_information_score: 185.6498, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6937, predictive_accuracy: 0.706, prior_entropy: 0.9308, recall: 0.706, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9637, scimark_benchmark: 1368.9272,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.6874, kappa: 0.291, kb_relative_information_score: 249.1294, mean_absolute_error: 0.3806, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6895, predictive_accuracy: 0.704, prior_entropy: 0.9308, recall: 0.704, relative_absolute_error: 0.8416, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9195, scimark_benchmark: 925.4974, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.7067, kappa: 0.3379, kb_relative_information_score: 226.8137, mean_absolute_error: 0.3918, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7055, predictive_accuracy: 0.7159, prior_entropy: 0.9308, recall: 0.7159, relative_absolute_error: 0.8665, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9469, scimark_benchmark: 1334.2813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6202, f_measure: 0.6573, kappa: 0.222, kb_relative_information_score: 144.8768, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6651, predictive_accuracy: 0.6854, prior_entropy: 0.9308, recall: 0.6854, relative_absolute_error: 0.9112, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9827, scimark_benchmark: 932.0242, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6583, f_measure: 0.7127, kappa: 0.3658, kb_relative_information_score: 168.2071, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7137, predictive_accuracy: 0.7119, prior_entropy: 0.9308, recall: 0.7119, relative_absolute_error: 0.9027, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.969, scimark_benchmark: 996.6105, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6025, f_measure: 0.6947, kappa: 0.3098, kb_relative_information_score: 185.6498, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6937, predictive_accuracy: 0.706, prior_entropy: 0.9308, recall: 0.706, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9637, scimark_benchmark: 1314.0383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6109, f_measure: 0.6516, kappa: 0.2089, kb_relative_information_score: 367.7428, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6569, predictive_accuracy: 0.6788, prior_entropy: 0.9308, recall: 0.6788, relative_absolute_error: 0.7253, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5508, root_relative_squared_error: 1.1592, scimark_benchmark: 1335.6393, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6346, f_measure: 0.7166, kappa: 0.3576, kb_relative_information_score: 358.9981, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7202, predictive_accuracy: 0.7305, prior_entropy: 0.9308, recall: 0.7305, relative_absolute_error: 0.7759, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9753, scimark_benchmark: 1292.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.6956, kappa: 0.3164, kb_relative_information_score: 167.6126, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.693, predictive_accuracy: 0.7013, prior_entropy: 0.9308, recall: 0.7013, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9458, scimark_benchmark: 1351.9369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6025, f_measure: 0.6947, kappa: 0.3098, kb_relative_information_score: 185.6498, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6937, predictive_accuracy: 0.706, prior_entropy: 0.9308, recall: 0.706, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9637, scimark_benchmark: 1347.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6082, f_measure: 0.7184, kappa: 0.3656, kb_relative_information_score: 216.5556, mean_absolute_error: 0.3955, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.717, predictive_accuracy: 0.7258, prior_entropy: 0.9308, recall: 0.7258, relative_absolute_error: 0.8746, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.9477, scimark_benchmark: 937.1527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, f_measure: 0.7853, kappa: 0.5216, kb_relative_information_score: 555.4486, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7844, predictive_accuracy: 0.7868, prior_entropy: 0.9308, recall: 0.7868, relative_absolute_error: 0.6371, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8784, scimark_benchmark: 1308.3432, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.7104, kappa: 0.3504, kb_relative_information_score: 312.8068, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7082, predictive_accuracy: 0.7152, prior_entropy: 0.9308, recall: 0.7152, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9772, scimark_benchmark: 1334.4761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.6956, kappa: 0.3164, kb_relative_information_score: 167.6126, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.693, predictive_accuracy: 0.7013, prior_entropy: 0.9308, recall: 0.7013, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9458, scimark_benchmark: 1317.0962, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6789, f_measure: 0.7039, kappa: 0.3302, kb_relative_information_score: 278.4042, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7037, predictive_accuracy: 0.7152, prior_entropy: 0.9308, recall: 0.7152, relative_absolute_error: 0.8227, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.965, scimark_benchmark: 1342.4239, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.7104, kappa: 0.3504, kb_relative_information_score: 312.8068, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7082, predictive_accuracy: 0.7152, prior_entropy: 0.9308, recall: 0.7152, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9772, scimark_benchmark: 906.4475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6722, f_measure: 0.6802, kappa: 0.2745, kb_relative_information_score: 183.381, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6817, predictive_accuracy: 0.6974, prior_entropy: 0.9308, recall: 0.6974, relative_absolute_error: 0.8845, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.957, scimark_benchmark: 922.1419, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.6458, kappa: 0.1992, kb_relative_information_score: 147.1116, mean_absolute_error: 0.4131, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6654, predictive_accuracy: 0.6854, prior_entropy: 0.9308, recall: 0.6854, relative_absolute_error: 0.9136, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.9442, scimark_benchmark: 1342.2985, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6227, f_measure: 0.7037, kappa: 0.3346, kb_relative_information_score: 209.3115, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7013, predictive_accuracy: 0.7093, prior_entropy: 0.9308, recall: 0.7093, relative_absolute_error: 0.8736, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9754, scimark_benchmark: 1339.9935, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6025, f_measure: 0.6947, kappa: 0.3098, kb_relative_information_score: 185.6498, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6937, predictive_accuracy: 0.706, prior_entropy: 0.9308, recall: 0.706, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9637, scimark_benchmark: 944.0517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.7143, kappa: 0.3653, kb_relative_information_score: 408.2625, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7135, predictive_accuracy: 0.7152, prior_entropy: 0.9308, recall: 0.7152, relative_absolute_error: 0.7191, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0024, scimark_benchmark: 1293.6566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.6956, kappa: 0.3164, kb_relative_information_score: 167.6126, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.693, predictive_accuracy: 0.7013, prior_entropy: 0.9308, recall: 0.7013, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9458, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.656, f_measure: 0.6511, kappa: 0.2079, kb_relative_information_score: 171.5101, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6521, predictive_accuracy: 0.6735, prior_entropy: 0.9308, recall: 0.6735, relative_absolute_error: 0.8949, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9697, scimark_benchmark: 1311.9814,

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