Task
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 54817 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6247, f_measure: 0.5977, kappa: 0.1954, kb_relative_information_score: 32.2788, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5977, predictive_accuracy: 0.5977, prior_entropy: 1, recall: 0.5977, relative_absolute_error: 0.9912, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.496, root_relative_squared_error: 0.992, scimark_benchmark: 1259.5097, usercpu_time_millis: 819.386, usercpu_time_millis_testing: 0.458, usercpu_time_millis_training: 818.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5863, f_measure: 0.5692, kappa: 0.1385, kb_relative_information_score: 204.3038, mean_absolute_error: 0.4649, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5692, predictive_accuracy: 0.5692, prior_entropy: 1, recall: 0.5692, relative_absolute_error: 0.9299, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5185, root_relative_squared_error: 1.0369, scimark_benchmark: 1286.2039, usercpu_time_millis: 2697.452, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 2697.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.8181, kappa: 0.6362, kb_relative_information_score: 879.4523, mean_absolute_error: 0.3552, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8181, predictive_accuracy: 0.8181, prior_entropy: 1, recall: 0.8181, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.7753, scimark_benchmark: 1276.5564, usercpu_time_millis: 2445.809, usercpu_time_millis_testing: 1.271, usercpu_time_millis_training: 2444.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.6058, kappa: 0.2115, kb_relative_information_score: 176.8024, mean_absolute_error: 0.4728, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6058, predictive_accuracy: 0.6058, prior_entropy: 1, recall: 0.6058, relative_absolute_error: 0.9456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4872, root_relative_squared_error: 0.9743, scimark_benchmark: 1271.157, usercpu_time_millis: 2480.409, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 2480.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.7991, kappa: 0.5985, kb_relative_information_score: 801.2488, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7999, predictive_accuracy: 0.7992, prior_entropy: 1, recall: 0.7992, relative_absolute_error: 0.7351, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8008, scimark_benchmark: 1283.3385, usercpu_time_millis: 5864.728, usercpu_time_millis_testing: 3.271, usercpu_time_millis_training: 5861.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, f_measure: 0.5796, kappa: 0.1592, kb_relative_information_score: 188.549, mean_absolute_error: 0.4697, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5796, predictive_accuracy: 0.5796, prior_entropy: 1, recall: 0.5796, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9912, scimark_benchmark: 1285.8125, usercpu_time_millis: 3245.468, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 3245.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, f_measure: 0.6354, kappa: 0.2708, kb_relative_information_score: 576.343, mean_absolute_error: 0.3947, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6354, predictive_accuracy: 0.6354, prior_entropy: 1, recall: 0.6354, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0038, scimark_benchmark: 1292.9806, usercpu_time_millis: 1492.883, usercpu_time_millis_testing: 0.985, usercpu_time_millis_training: 1491.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, f_measure: 0.6184, kappa: 0.2369, kb_relative_information_score: 172.3479, mean_absolute_error: 0.4748, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6186, predictive_accuracy: 0.6185, prior_entropy: 1, recall: 0.6185, relative_absolute_error: 0.9497, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4795, root_relative_squared_error: 0.9589, scimark_benchmark: 1279.2748, usercpu_time_millis: 3162.534, usercpu_time_millis_testing: 1.771, usercpu_time_millis_training: 3160.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6266, f_measure: 0.5962, kappa: 0.1923, kb_relative_information_score: 102.4724, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5962, predictive_accuracy: 0.5962, prior_entropy: 1, recall: 0.5962, relative_absolute_error: 0.9704, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9796, scimark_benchmark: 1295.7497, usercpu_time_millis: 1718.55, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 1718.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.7068, kappa: 0.4138, kb_relative_information_score: 670.5496, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7073, predictive_accuracy: 0.7069, prior_entropy: 1, recall: 0.7069, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8718, scimark_benchmark: 1260.0203, usercpu_time_millis: 2039.577, usercpu_time_millis_testing: 5.384, usercpu_time_millis_training: 2034.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6264, f_measure: 0.5954, kappa: 0.1908, kb_relative_information_score: 96.8823, mean_absolute_error: 0.486, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5954, predictive_accuracy: 0.5954, prior_entropy: 1, recall: 0.5954, relative_absolute_error: 0.9721, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9803, scimark_benchmark: 1282.1405, usercpu_time_millis: 2076.048, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 2075.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6192, f_measure: 0.5907, kappa: 0.1815, kb_relative_information_score: 190.1187, mean_absolute_error: 0.4699, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5908, predictive_accuracy: 0.5908, prior_entropy: 1, recall: 0.5908, relative_absolute_error: 0.9398, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4913, root_relative_squared_error: 0.9825, scimark_benchmark: 1283.9256, usercpu_time_millis: 986.454, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 986.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7364, kappa: 0.4754, kb_relative_information_score: 390.6675, mean_absolute_error: 0.4404, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7423, predictive_accuracy: 0.7377, prior_entropy: 1, recall: 0.7377, relative_absolute_error: 0.8808, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.9005, scimark_benchmark: 1260.6452, usercpu_time_millis: 451.244, usercpu_time_millis_testing: 1.044, usercpu_time_millis_training: 450.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5854, f_measure: 0.5662, kappa: 0.1323, kb_relative_information_score: 202.7324, mean_absolute_error: 0.4651, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5662, predictive_accuracy: 0.5662, prior_entropy: 1, recall: 0.5662, relative_absolute_error: 0.9302, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5194, root_relative_squared_error: 1.0388, scimark_benchmark: 1261.14, usercpu_time_millis: 1435.185, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 1434.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.6546, kappa: 0.3092, kb_relative_information_score: 394.531, mean_absolute_error: 0.4364, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6546, predictive_accuracy: 0.6546, prior_entropy: 1, recall: 0.6546, relative_absolute_error: 0.8728, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9172, scimark_benchmark: 1280.5601, usercpu_time_millis: 1286.826, usercpu_time_millis_testing: 1.129, usercpu_time_millis_training: 1285.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, f_measure: 0.6504, kappa: 0.3008, kb_relative_information_score: 645.8119, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6504, predictive_accuracy: 0.6504, prior_entropy: 1, recall: 0.6504, relative_absolute_error: 0.762, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.0055, scimark_benchmark: 1267.4296, usercpu_time_millis: 1977.254, usercpu_time_millis_testing: 3.048, usercpu_time_millis_training: 1974.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1266.1234, usercpu_time_millis: 1494.164, usercpu_time_millis_testing: 1.414, usercpu_time_millis_training: 1492.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6326, f_measure: 0.6008, kappa: 0.2015, kb_relative_information_score: 168.2423, mean_absolute_error: 0.4744, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6008, predictive_accuracy: 0.6008, prior_entropy: 1, recall: 0.6008, relative_absolute_error: 0.9489, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4868, root_relative_squared_error: 0.9735, scimark_benchmark: 1262.53, usercpu_time_millis: 1505.413, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 1505.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5896, f_measure: 0.5635, kappa: 0.1269, kb_relative_information_score: 193.2547, mean_absolute_error: 0.4673, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5635, predictive_accuracy: 0.5635, prior_entropy: 1, recall: 0.5635, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5104, root_relative_squared_error: 1.0208, scimark_benchmark: 1269.4718, usercpu_time_millis: 367.585, usercpu_time_millis_testing: 0.233, usercpu_time_millis_training: 367.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6322, f_measure: 0.6042, kappa: 0.2085, kb_relative_information_score: 158.0405, mean_absolute_error: 0.4762, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6042, predictive_accuracy: 0.6042, prior_entropy: 1, recall: 0.6042, relative_absolute_error: 0.9524, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4871, root_relative_squared_error: 0.9741, scimark_benchmark: 1281.4122, usercpu_time_millis: 2371.844, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 2371.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.7341, kappa: 0.4685, kb_relative_information_score: 727.3502, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7347, predictive_accuracy: 0.7342, prior_entropy: 1, recall: 0.7342, relative_absolute_error: 0.7539, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8383, scimark_benchmark: 1283.9364, usercpu_time_millis: 3095.157, usercpu_time_millis_testing: 5.298, usercpu_time_millis_training: 3089.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6294, f_measure: 0.5973, kappa: 0.1946, kb_relative_information_score: 143.1921, mean_absolute_error: 0.4787, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5973, predictive_accuracy: 0.5973, prior_entropy: 1, recall: 0.5973, relative_absolute_error: 0.9573, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9756, scimark_benchmark: 1267.1047, usercpu_time_millis: 308.329, usercpu_time_millis_testing: 0.341, usercpu_time_millis_training: 307.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.7841, kappa: 0.5692, kb_relative_information_score: 738.8926, mean_absolute_error: 0.3789, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7873, predictive_accuracy: 0.7846, prior_entropy: 1, recall: 0.7846, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8148, scimark_benchmark: 1268.8123, usercpu_time_millis: 3936.437, usercpu_time_millis_testing: 6.04, usercpu_time_millis_training: 3930.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6245, f_measure: 0.5938, kappa: 0.1877, kb_relative_information_score: 186.6863, mean_absolute_error: 0.4708, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5939, predictive_accuracy: 0.5938, prior_entropy: 1, recall: 0.5938, relative_absolute_error: 0.9415, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9784, scimark_benchmark: 1286.4994, usercpu_time_millis: 1005.32, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 1005.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.6319, kappa: 0.2638, kb_relative_information_score: 388.4045, mean_absolute_error: 0.4346, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6319, predictive_accuracy: 0.6319, prior_entropy: 1, recall: 0.6319, relative_absolute_error: 0.8692, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9469, scimark_benchmark: 1284.719, usercpu_time_millis: 1899.221, usercpu_time_millis_testing: 4.54, usercpu_time_millis_training: 1894.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6264, f_measure: 0.5969, kappa: 0.1938, kb_relative_information_score: 93.495, mean_absolute_error: 0.4866, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5969, predictive_accuracy: 0.5969, prior_entropy: 1, recall: 0.5969, relative_absolute_error: 0.9731, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4904, root_relative_squared_error: 0.9807, scimark_benchmark: 1279.3895, usercpu_time_millis: 335.098, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 334.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7248, f_measure: 0.6376, kappa: 0.2762, kb_relative_information_score: 275.3479, mean_absolute_error: 0.4579, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6388, predictive_accuracy: 0.6381, prior_entropy: 1, recall: 0.6381, relative_absolute_error: 0.9158, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4678, root_relative_squared_error: 0.9356, scimark_benchmark: 1300.0368, usercpu_time_millis: 205.759, usercpu_time_millis_testing: 0.471, usercpu_time_millis_training: 205.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6264, f_measure: 0.5962, kappa: 0.1923, kb_relative_information_score: 98.3942, mean_absolute_error: 0.4858, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5962, predictive_accuracy: 0.5962, prior_entropy: 1, recall: 0.5962, relative_absolute_error: 0.9716, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9801, scimark_benchmark: 1280.1011, usercpu_time_millis: 320.48, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 320.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5861, f_measure: 0.5719, kappa: 0.1438, kb_relative_information_score: 208.0284, mean_absolute_error: 0.4642, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5719, predictive_accuracy: 0.5719, prior_entropy: 1, recall: 0.5719, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.0412, scimark_benchmark: 1271.9825, usercpu_time_millis: 2549.727, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 2549.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6263, f_measure: 0.5962, kappa: 0.1923, kb_relative_information_score: 94.2869, mean_absolute_error: 0.4864, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5962, predictive_accuracy: 0.5962, prior_entropy: 1, recall: 0.5962, relative_absolute_error: 0.9729, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.9806, scimark_benchmark: 1254.652, usercpu_time_millis: 2537.012, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 2536.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6283, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 132.0162, mean_absolute_error: 0.4805, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4883, root_relative_squared_error: 0.9765, scimark_benchmark: 1272.4068, usercpu_time_millis: 1581.503, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 1581.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6271, f_measure: 0.5977, kappa: 0.1954, kb_relative_information_score: 115.2707, mean_absolute_error: 0.4832, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5977, predictive_accuracy: 0.5977, prior_entropy: 1, recall: 0.5977, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4891, root_relative_squared_error: 0.9781, scimark_benchmark: 1281.1921, usercpu_time_millis: 2673.618, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 2673.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.728, f_measure: 0.665, kappa: 0.33, kb_relative_information_score: 510.3322, mean_absolute_error: 0.4132, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.665, predictive_accuracy: 0.665, prior_entropy: 1, recall: 0.665, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.459, root_relative_squared_error: 0.918, scimark_benchmark: 1261.2361, usercpu_time_millis: 1457.755, usercpu_time_millis_testing: 1.381, usercpu_time_millis_training: 1456.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5705, f_measure: 0.5554, kappa: 0.1108, kb_relative_information_score: 285.9734, mean_absolute_error: 0.445, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5554, predictive_accuracy: 0.5554, prior_entropy: 1, recall: 0.5554, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6644, root_relative_squared_error: 1.3288, scimark_benchmark: 1263.7322, usercpu_time_millis: 2173.371, usercpu_time_millis_testing: 1.962, usercpu_time_millis_training: 2171.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6229, f_measure: 0.593, kappa: 0.1862, kb_relative_information_score: 187.7398, mean_absolute_error: 0.4705, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5931, predictive_accuracy: 0.5931, prior_entropy: 1, recall: 0.5931, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9796, scimark_benchmark: 1267.3891, usercpu_time_millis: 2496.426, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 2496.189,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6245, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 172.0938, mean_absolute_error: 0.4735, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.947, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4887, root_relative_squared_error: 0.9774, scimark_benchmark: 1258.9429, usercpu_time_millis: 1841.137, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 1840.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.629, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 181.4172, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9755, scimark_benchmark: 1290.1175, usercpu_time_millis: 1520.669, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 1520.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, f_measure: 0.6738, kappa: 0.3477, kb_relative_information_score: 588.3113, mean_absolute_error: 0.3979, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6739, predictive_accuracy: 0.6738, prior_entropy: 1, recall: 0.6738, relative_absolute_error: 0.7958, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9125, scimark_benchmark: 1254.0238, usercpu_time_millis: 4545.899, usercpu_time_millis_testing: 3.492, usercpu_time_millis_training: 4542.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7191, kappa: 0.4385, kb_relative_information_score: 554.118, mean_absolute_error: 0.4098, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7197, predictive_accuracy: 0.7192, prior_entropy: 1, recall: 0.7192, relative_absolute_error: 0.8196, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8719, scimark_benchmark: 1267.1093, usercpu_time_millis: 1211.723, usercpu_time_millis_testing: 1.93, usercpu_time_millis_training: 1209.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.5623, kappa: 0.1246, kb_relative_information_score: 201.3688, mean_absolute_error: 0.4654, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5623, predictive_accuracy: 0.5623, prior_entropy: 1, recall: 0.5623, relative_absolute_error: 0.9308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5171, root_relative_squared_error: 1.0342, scimark_benchmark: 1286.4747, usercpu_time_millis: 953.232, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 953.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5836, f_measure: 0.5681, kappa: 0.1362, kb_relative_information_score: 209.3869, mean_absolute_error: 0.4637, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5681, predictive_accuracy: 0.5681, prior_entropy: 1, recall: 0.5681, relative_absolute_error: 0.9274, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5251, root_relative_squared_error: 1.0502, scimark_benchmark: 1248.8341, usercpu_time_millis: 2613.784, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 2613.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6075, f_measure: 0.5753, kappa: 0.1508, kb_relative_information_score: 192.6525, mean_absolute_error: 0.4688, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5755, predictive_accuracy: 0.5754, prior_entropy: 1, recall: 0.5754, relative_absolute_error: 0.9376, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9937, scimark_benchmark: 1287.453, usercpu_time_millis: 2442.451, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 2442.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.7192, kappa: 0.4385, kb_relative_information_score: 786.1953, mean_absolute_error: 0.3623, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7193, predictive_accuracy: 0.7192, prior_entropy: 1, recall: 0.7192, relative_absolute_error: 0.7247, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.8547, scimark_benchmark: 1287.5651, usercpu_time_millis: 8055.657, usercpu_time_millis_testing: 3.535, usercpu_time_millis_training: 8052.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6268, f_measure: 0.6027, kappa: 0.2054, kb_relative_information_score: 178.7814, mean_absolute_error: 0.4724, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6027, predictive_accuracy: 0.6027, prior_entropy: 1, recall: 0.6027, relative_absolute_error: 0.9447, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4884, root_relative_squared_error: 0.9768, scimark_benchmark: 1285.865, usercpu_time_millis: 1304.462, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 1304.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6275, f_measure: 0.5985, kappa: 0.1969, kb_relative_information_score: 183.6934, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5985, predictive_accuracy: 0.5985, prior_entropy: 1, recall: 0.5985, relative_absolute_error: 0.9429, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4882, root_relative_squared_error: 0.9764, scimark_benchmark: 1249.6913, usercpu_time_millis: 971.081, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 970.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 1263.1271, usercpu_time_millis: 697.538, usercpu_time_millis_testing: 0.674, usercpu_time_millis_training: 696.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1255.031, usercpu_time_millis: 773.846, usercpu_time_millis_testing: 0.726, usercpu_time_millis_training: 773.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.7918, kappa: 0.5838, kb_relative_information_score: 827.0633, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7928, predictive_accuracy: 0.7919, prior_entropy: 1, recall: 0.7919, relative_absolute_error: 0.7239, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.7994, scimark_benchmark: 1286.2948, usercpu_time_millis: 5792.974, usercpu_time_millis_testing: 3.796, usercpu_time_millis_training: 5789.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1284.3379, usercpu_time_millis: 1248.646, usercpu_time_millis_testing: 0.778, usercpu_time_millis_training: 1247.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5913, f_measure: 0.5696, kappa: 0.1392, kb_relative_information_score: 207.5946, mean_absolute_error: 0.4647, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5696, predictive_accuracy: 0.5696, prior_entropy: 1, recall: 0.5696, relative_absolute_error: 0.9294, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0271, scimark_benchmark: 1268.8846, usercpu_time_millis: 2760.725, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 2760.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1262.9506, usercpu_time_millis: 1056.77, usercpu_time_millis_testing: 0.624, usercpu_time_millis_training: 1056.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.626, f_measure: 0.5954, kappa: 0.1908, kb_relative_information_score: 86.691, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5954, predictive_accuracy: 0.5954, prior_entropy: 1, recall: 0.5954, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4909, root_relative_squared_error: 0.9817, scimark_benchmark: 1287.5574, usercpu_time_millis: 2301.715, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 2301.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, f_measure: 0.5723, kappa: 0.1446, kb_relative_information_score: 299.2116, mean_absolute_error: 0.4454, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5723, predictive_accuracy: 0.5723, prior_entropy: 1, recall: 0.5723, relative_absolute_error: 0.8908, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5569, root_relative_squared_error: 1.1139, scimark_benchmark: 1268.5598, usercpu_time_millis: 2443.149, usercpu_time_millis_testing: 1.105, usercpu_time_millis_training: 2442.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.6808, kappa: 0.3615, kb_relative_information_score: 706.2516, mean_absolute_error: 0.3741, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6808, predictive_accuracy: 0.6808, prior_entropy: 1, recall: 0.6808, relative_absolute_error: 0.7483, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9057, scimark_benchmark: 1262.168, usercpu_time_millis: 4811.65, usercpu_time_millis_testing: 3.615, usercpu_time_millis_training: 4808.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6326, f_measure: 0.6015, kappa: 0.2031, kb_relative_information_score: 169.4578, mean_absolute_error: 0.4742, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6015, predictive_accuracy: 0.6015, prior_entropy: 1, recall: 0.6015, relative_absolute_error: 0.9484, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9737, scimark_benchmark: 1284.2984, usercpu_time_millis: 1078.803, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 1078.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6999, f_measure: 0.6176, kappa: 0.2354, kb_relative_information_score: 223.7228, mean_absolute_error: 0.4661, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6178, predictive_accuracy: 0.6177, prior_entropy: 1, recall: 0.6177, relative_absolute_error: 0.9321, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4744, root_relative_squared_error: 0.9489, scimark_benchmark: 1261.2867, usercpu_time_millis: 1031.556, usercpu_time_millis_testing: 1.837, usercpu_time_millis_training: 1029.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5897, f_measure: 0.5592, kappa: 0.1185, kb_relative_information_score: 197.7702, mean_absolute_error: 0.4664, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5592, predictive_accuracy: 0.5592, prior_entropy: 1, recall: 0.5592, relative_absolute_error: 0.9328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5117, root_relative_squared_error: 1.0233, scimark_benchmark: 1256.4407, usercpu_time_millis: 1064.274, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 1064.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5974, f_measure: 0.5746, kappa: 0.1492, kb_relative_information_score: 284.8862, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5746, predictive_accuracy: 0.5746, prior_entropy: 1, recall: 0.5746, relative_absolute_error: 0.8979, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5396, root_relative_squared_error: 1.0792, scimark_benchmark: 1270.4291, usercpu_time_millis: 1409.492, usercpu_time_millis_testing: 1.844, usercpu_time_millis_training: 1407.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.7308, kappa: 0.4615, kb_relative_information_score: 731.3475, mean_absolute_error: 0.3749, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7308, predictive_accuracy: 0.7308, prior_entropy: 1, recall: 0.7308, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8586, scimark_benchmark: 1286.4225, usercpu_time_millis: 1836.951, usercpu_time_millis_testing: 1.194, usercpu_time_millis_training: 1835.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7402, kappa: 0.4815, kb_relative_information_score: 616.851, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.743, predictive_accuracy: 0.7408, prior_entropy: 1, recall: 0.7408, relative_absolute_error: 0.7993, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8499, scimark_benchmark: 1285.7692, usercpu_time_millis: 816.65, usercpu_time_millis_testing: 2.581, usercpu_time_millis_training: 814.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6028, f_measure: 0.5707, kappa: 0.1415, kb_relative_information_score: 193.9291, mean_absolute_error: 0.4682, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5708, predictive_accuracy: 0.5708, prior_entropy: 1, recall: 0.5708, relative_absolute_error: 0.9365, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9994, scimark_benchmark: 1282.8411, usercpu_time_millis: 2372.63, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 2372.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1265.0414, usercpu_time_millis: 1517.558, usercpu_time_millis_testing: 1.227, usercpu_time_millis_training: 1516.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.63, kappa: 0.26, kb_relative_information_score: 208.4292, mean_absolute_error: 0.4686, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.63, predictive_accuracy: 0.63, prior_entropy: 1, recall: 0.63, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4763, root_relative_squared_error: 0.9526, scimark_benchmark: 1258.2483, usercpu_time_millis: 1753.277, usercpu_time_millis_testing: 4.158, usercpu_time_millis_training: 1749.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, f_measure: 0.6272, kappa: 0.2546, kb_relative_information_score: 584.3911, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6274, predictive_accuracy: 0.6273, prior_entropy: 1, recall: 0.6273, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5295, root_relative_squared_error: 1.059, scimark_benchmark: 1280.261, usercpu_time_millis: 2467.499, usercpu_time_millis_testing: 2.625, usercpu_time_millis_training: 2464.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.636, f_measure: 0.6119, kappa: 0.2238, kb_relative_information_score: 457.8637, mean_absolute_error: 0.4165, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6119, predictive_accuracy: 0.6119, prior_entropy: 1, recall: 0.6119, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5389, root_relative_squared_error: 1.0777, scimark_benchmark: 1262.9285, usercpu_time_millis: 2220.825, usercpu_time_millis_testing: 2.242, usercpu_time_millis_training: 2218.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.5985, kappa: 0.1969, kb_relative_information_score: 128.4876, mean_absolute_error: 0.481, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5985, predictive_accuracy: 0.5985, prior_entropy: 1, recall: 0.5985, relative_absolute_error: 0.9621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4884, root_relative_squared_error: 0.9768, scimark_benchmark: 1251.332, usercpu_time_millis: 2411.81, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 2411.557,

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