Task
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 54820 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: 0.7317, f_measure: 0.6838, kappa: 0.3746, kb_relative_information_score: 385.4878, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6959, predictive_accuracy: 0.6873, prior_entropy: 1, recall: 0.6873, relative_absolute_error: 0.8776, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9205, scimark_benchmark: 1808.4562, usercpu_time_millis: 167.058, usercpu_time_millis_testing: 1.075, usercpu_time_millis_training: 165.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.6943, kappa: 0.3915, kb_relative_information_score: 495.6635, mean_absolute_error: 0.4177, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6997, predictive_accuracy: 0.6958, prior_entropy: 1, recall: 0.6958, relative_absolute_error: 0.8355, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8944, scimark_benchmark: 1751.5819, usercpu_time_millis: 134.617, usercpu_time_millis_testing: 0.89, usercpu_time_millis_training: 133.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.611, kappa: 0.2223, kb_relative_information_score: 157.838, mean_absolute_error: 0.4767, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6114, predictive_accuracy: 0.6112, prior_entropy: 1, recall: 0.6112, relative_absolute_error: 0.9534, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.484, root_relative_squared_error: 0.9679, scimark_benchmark: 1855.6669, usercpu_time_millis: 16.102, usercpu_time_millis_testing: 0.796, usercpu_time_millis_training: 15.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.6911, kappa: 0.3854, kb_relative_information_score: 397.9333, mean_absolute_error: 0.4369, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6969, predictive_accuracy: 0.6927, prior_entropy: 1, recall: 0.6927, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9122, scimark_benchmark: 1811.7508, usercpu_time_millis: 12.134, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 11.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, 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: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1858.6775, usercpu_time_millis: 3.637, usercpu_time_millis_testing: 0.58, usercpu_time_millis_training: 3.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.652, f_measure: 0.6156, kappa: 0.2315, kb_relative_information_score: 180.9649, mean_absolute_error: 0.473, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.616, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.9461, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9674, scimark_benchmark: 1852.859, usercpu_time_millis: 14.018, usercpu_time_millis_testing: 0.511, usercpu_time_millis_training: 13.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, 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: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1848.321, usercpu_time_millis: 3.616, usercpu_time_millis_testing: 0.654, usercpu_time_millis_training: 2.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.7226, kappa: 0.4477, kb_relative_information_score: 540.4155, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7278, predictive_accuracy: 0.7238, prior_entropy: 1, recall: 0.7238, relative_absolute_error: 0.8236, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8754, scimark_benchmark: 1735.3142, usercpu_time_millis: 6.195, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 5.82,
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: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1852.0126, usercpu_time_millis: 2.284, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 1.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.6652, kappa: 0.3331, kb_relative_information_score: 324.9328, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6692, predictive_accuracy: 0.6665, prior_entropy: 1, recall: 0.6665, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9278, scimark_benchmark: 1844.4224, usercpu_time_millis: 2.156, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 1.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, f_measure: 0.653, kappa: 0.3085, kb_relative_information_score: 278.9236, mean_absolute_error: 0.4575, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6564, predictive_accuracy: 0.6542, prior_entropy: 1, recall: 0.6542, relative_absolute_error: 0.915, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.9345, scimark_benchmark: 1838.2986, usercpu_time_millis: 10.064, usercpu_time_millis_testing: 0.512, usercpu_time_millis_training: 9.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.7247, kappa: 0.4515, kb_relative_information_score: 592.2541, mean_absolute_error: 0.4015, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7295, predictive_accuracy: 0.7258, prior_entropy: 1, recall: 0.7258, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.8652, scimark_benchmark: 1844.4265, usercpu_time_millis: 15.591, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 15.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.7225, kappa: 0.4485, kb_relative_information_score: 408.0972, mean_absolute_error: 0.4366, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7301, predictive_accuracy: 0.7242, prior_entropy: 1, recall: 0.7242, relative_absolute_error: 0.8733, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9002, scimark_benchmark: 1852.6763, usercpu_time_millis: 35.953, usercpu_time_millis_testing: 0.734, usercpu_time_millis_training: 35.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7629, f_measure: 0.695, kappa: 0.3931, kb_relative_information_score: 464.3175, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7005, predictive_accuracy: 0.6965, prior_entropy: 1, recall: 0.6965, relative_absolute_error: 0.8491, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.8984, scimark_benchmark: 1848.8462, usercpu_time_millis: 27.06, usercpu_time_millis_testing: 0.451, usercpu_time_millis_training: 26.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7403, kappa: 0.4815, kb_relative_information_score: 699.2569, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7426, predictive_accuracy: 0.7408, prior_entropy: 1, recall: 0.7408, relative_absolute_error: 0.766, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.8411, scimark_benchmark: 1851.3688, usercpu_time_millis: 15.443, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 15.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6612, f_measure: 0.6117, kappa: 0.2238, kb_relative_information_score: 153.7439, mean_absolute_error: 0.4774, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6122, predictive_accuracy: 0.6119, prior_entropy: 1, recall: 0.6119, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4841, root_relative_squared_error: 0.9683, scimark_benchmark: 1854.568, usercpu_time_millis: 15.061, usercpu_time_millis_testing: 0.713, usercpu_time_millis_training: 14.348,
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: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1821.4778, usercpu_time_millis: 3.921, usercpu_time_millis_testing: 0.708, usercpu_time_millis_training: 3.213,
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: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1845.9978, usercpu_time_millis: 2.579, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 2.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, f_measure: 0.6163, kappa: 0.2331, kb_relative_information_score: 167.297, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6168, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.9504, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9674, scimark_benchmark: 1838.1026, usercpu_time_millis: 3.756, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 3.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.6381, kappa: 0.2769, kb_relative_information_score: 180.3086, mean_absolute_error: 0.4736, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6391, predictive_accuracy: 0.6385, prior_entropy: 1, recall: 0.6385, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9551, scimark_benchmark: 1856.0551, usercpu_time_millis: 25.885, usercpu_time_millis_testing: 1.299, usercpu_time_millis_training: 24.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.7762, kappa: 0.5538, kb_relative_information_score: 605.0046, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7808, predictive_accuracy: 0.7769, prior_entropy: 1, recall: 0.7769, relative_absolute_error: 0.809, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8418, scimark_benchmark: 1857.184, usercpu_time_millis: 77.242, usercpu_time_millis_testing: 1.587, usercpu_time_millis_training: 75.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.7612, kappa: 0.5246, kb_relative_information_score: 558.5254, mean_absolute_error: 0.4122, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7674, predictive_accuracy: 0.7623, prior_entropy: 1, recall: 0.7623, relative_absolute_error: 0.8244, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.855, scimark_benchmark: 1849.2344, usercpu_time_millis: 116.979, usercpu_time_millis_testing: 2.181, usercpu_time_millis_training: 114.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7362, f_measure: 0.6779, kappa: 0.3638, kb_relative_information_score: 394.3457, mean_absolute_error: 0.4372, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6914, predictive_accuracy: 0.6819, prior_entropy: 1, recall: 0.6819, relative_absolute_error: 0.8744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4591, root_relative_squared_error: 0.9182, scimark_benchmark: 1849.3701, usercpu_time_millis: 141.013, usercpu_time_millis_testing: 0.947, usercpu_time_millis_training: 140.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7387, kappa: 0.48, kb_relative_information_score: 401.308, mean_absolute_error: 0.4387, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.745, predictive_accuracy: 0.74, prior_entropy: 1, recall: 0.74, relative_absolute_error: 0.8775, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.8965, scimark_benchmark: 1855.0134, usercpu_time_millis: 130.879, usercpu_time_millis_testing: 2.523, usercpu_time_millis_training: 128.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.6891, kappa: 0.3838, kb_relative_information_score: 429.4276, mean_absolute_error: 0.431, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6991, predictive_accuracy: 0.6919, prior_entropy: 1, recall: 0.6919, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9055, scimark_benchmark: 1852.9988, usercpu_time_millis: 163.055, usercpu_time_millis_testing: 0.987, usercpu_time_millis_training: 162.068,
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: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1849.7595, usercpu_time_millis: 4.969, usercpu_time_millis_testing: 0.921, usercpu_time_millis_training: 4.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, 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: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1857.2361, usercpu_time_millis: 5.324, usercpu_time_millis_testing: 0.831, usercpu_time_millis_training: 4.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.7636, kappa: 0.5285, kb_relative_information_score: 601.2863, mean_absolute_error: 0.4037, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.767, predictive_accuracy: 0.7642, prior_entropy: 1, recall: 0.7642, relative_absolute_error: 0.8074, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8492, scimark_benchmark: 1277.4821, usercpu_time_millis: 2966.22, usercpu_time_millis_testing: 4.055, usercpu_time_millis_training: 2962.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.627, kappa: 0.2546, kb_relative_information_score: 181.8153, mean_absolute_error: 0.4735, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6277, predictive_accuracy: 0.6273, prior_entropy: 1, recall: 0.6273, relative_absolute_error: 0.9471, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9556, scimark_benchmark: 1290.4172, usercpu_time_millis: 2163.412, usercpu_time_millis_testing: 1.526, usercpu_time_millis_training: 2161.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5857, f_measure: 0.5604, kappa: 0.1208, kb_relative_information_score: 197.6053, mean_absolute_error: 0.4661, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5604, predictive_accuracy: 0.5604, prior_entropy: 1, recall: 0.5604, relative_absolute_error: 0.9321, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5166, root_relative_squared_error: 1.0331, scimark_benchmark: 1272.0979, usercpu_time_millis: 751.444, usercpu_time_millis_testing: 0.539, usercpu_time_millis_training: 750.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, f_measure: 0.6394, kappa: 0.2792, kb_relative_information_score: 224.0506, mean_absolute_error: 0.4664, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.64, predictive_accuracy: 0.6396, prior_entropy: 1, recall: 0.6396, relative_absolute_error: 0.9328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.473, root_relative_squared_error: 0.946, scimark_benchmark: 1276.7446, usercpu_time_millis: 1638.481, usercpu_time_millis_testing: 5.022, usercpu_time_millis_training: 1633.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6551, f_measure: 0.6156, kappa: 0.2315, kb_relative_information_score: 39.2252, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6159, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4951, root_relative_squared_error: 0.9901, scimark_benchmark: 1299.7895, usercpu_time_millis: 861.804, usercpu_time_millis_testing: 0.913, usercpu_time_millis_training: 860.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6286, f_measure: 0.5958, kappa: 0.1915, kb_relative_information_score: 138.2545, mean_absolute_error: 0.4795, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5958, predictive_accuracy: 0.5958, prior_entropy: 1, recall: 0.5958, relative_absolute_error: 0.9589, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.488, root_relative_squared_error: 0.9761, scimark_benchmark: 1301.9359, usercpu_time_millis: 1788.45, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 1788.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5854, f_measure: 0.5677, kappa: 0.1354, kb_relative_information_score: 202.6772, mean_absolute_error: 0.4651, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5677, predictive_accuracy: 0.5677, prior_entropy: 1, recall: 0.5677, 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: 1301.6988, usercpu_time_millis: 1561.257, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 1561.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6249, f_measure: 0.5973, kappa: 0.1946, kb_relative_information_score: 41.5767, mean_absolute_error: 0.4943, 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: 0.9885, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.495, root_relative_squared_error: 0.9899, scimark_benchmark: 1304.6281, usercpu_time_millis: 1050.293, usercpu_time_millis_testing: 0.233, usercpu_time_millis_training: 1050.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.6219, kappa: 0.2438, kb_relative_information_score: 302.9031, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6219, predictive_accuracy: 0.6219, prior_entropy: 1, recall: 0.6219, relative_absolute_error: 0.9034, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9423, scimark_benchmark: 1287.1748, usercpu_time_millis: 1707.773, usercpu_time_millis_testing: 3.076, usercpu_time_millis_training: 1704.697,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7422, f_measure: 0.6773, kappa: 0.3546, kb_relative_information_score: 765.7231, mean_absolute_error: 0.3595, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6773, predictive_accuracy: 0.6773, prior_entropy: 1, recall: 0.6773, relative_absolute_error: 0.7191, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9468, scimark_benchmark: 1285.4004, usercpu_time_millis: 3307.921, usercpu_time_millis_testing: 3.566, usercpu_time_millis_training: 3304.355,
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: 1277.682, usercpu_time_millis: 729.233, usercpu_time_millis_testing: 0.663, usercpu_time_millis_training: 728.57,
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: 1304.5234, usercpu_time_millis: 369.92, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 369.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6276, f_measure: 0.5969, kappa: 0.1938, kb_relative_information_score: 117.1934, mean_absolute_error: 0.4829, 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: 0.9657, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4889, root_relative_squared_error: 0.9779, scimark_benchmark: 1303.964, usercpu_time_millis: 112.567, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 112.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6296, f_measure: 0.6015, kappa: 0.2031, kb_relative_information_score: 140.2625, mean_absolute_error: 0.4791, 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: 0.9583, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.9758, scimark_benchmark: 1274.3672, usercpu_time_millis: 133.259, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 133.033,
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: 1306.1261, usercpu_time_millis: 824.606, usercpu_time_millis_testing: 0.955, usercpu_time_millis_training: 823.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6562, f_measure: 0.6182, kappa: 0.2369, kb_relative_information_score: 65.9297, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6188, predictive_accuracy: 0.6185, prior_entropy: 1, recall: 0.6185, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4921, root_relative_squared_error: 0.9841, scimark_benchmark: 1305.5277, usercpu_time_millis: 1434.183, usercpu_time_millis_testing: 1.583, usercpu_time_millis_training: 1432.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.5723, kappa: 0.1446, kb_relative_information_score: 191.3416, mean_absolute_error: 0.4683, 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: 0.9367, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0044, scimark_benchmark: 1277.9351, usercpu_time_millis: 247.727, usercpu_time_millis_testing: 0.233, usercpu_time_millis_training: 247.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7637, f_measure: 0.6788, kappa: 0.3577, kb_relative_information_score: 465.3526, mean_absolute_error: 0.4244, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6791, predictive_accuracy: 0.6788, prior_entropy: 1, recall: 0.6788, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.448, root_relative_squared_error: 0.896, scimark_benchmark: 1275.3456, usercpu_time_millis: 1369.778, usercpu_time_millis_testing: 1.14, usercpu_time_millis_training: 1368.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, f_measure: 0.6315, kappa: 0.2631, kb_relative_information_score: 552.0203, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6315, predictive_accuracy: 0.6315, prior_entropy: 1, recall: 0.6315, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4914, root_relative_squared_error: 0.9828, scimark_benchmark: 1301.351, usercpu_time_millis: 764.512, usercpu_time_millis_testing: 1.214, usercpu_time_millis_training: 763.298,
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: 1293.1229, usercpu_time_millis: 562.11, usercpu_time_millis_testing: 0.614, usercpu_time_millis_training: 561.496,
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: 1305.5818, usercpu_time_millis: 1067.988, usercpu_time_millis_testing: 0.71, usercpu_time_millis_training: 1067.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.6019, kappa: 0.2038, kb_relative_information_score: 153.8004, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6019, predictive_accuracy: 0.6019, prior_entropy: 1, recall: 0.6019, relative_absolute_error: 0.9538, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4873, root_relative_squared_error: 0.9746, scimark_benchmark: 1302.8094, usercpu_time_millis: 2295.035, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 2294.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.602, f_measure: 0.5708, kappa: 0.1415, kb_relative_information_score: 288.6808, mean_absolute_error: 0.4479, 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: 0.8958, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5348, root_relative_squared_error: 1.0695, scimark_benchmark: 1270.9772, usercpu_time_millis: 1871.983, usercpu_time_millis_testing: 2.222, usercpu_time_millis_training: 1869.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.661, f_measure: 0.6215, kappa: 0.2431, kb_relative_information_score: 16.7485, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6215, predictive_accuracy: 0.6215, prior_entropy: 1, recall: 0.6215, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9956, scimark_benchmark: 1277.4712, usercpu_time_millis: 1749.033, usercpu_time_millis_testing: 1.373, usercpu_time_millis_training: 1747.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.6472, kappa: 0.2946, kb_relative_information_score: 666.0721, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6475, predictive_accuracy: 0.6473, prior_entropy: 1, recall: 0.6473, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9978, scimark_benchmark: 1276.7093, usercpu_time_millis: 926.898, usercpu_time_millis_testing: 1.064, usercpu_time_millis_training: 925.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.595, kappa: 0.19, kb_relative_information_score: 185.8437, mean_absolute_error: 0.471, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.595, predictive_accuracy: 0.595, prior_entropy: 1, recall: 0.595, relative_absolute_error: 0.9419, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4889, root_relative_squared_error: 0.9779, scimark_benchmark: 1281.9969, usercpu_time_millis: 2026.945, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 2026.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6178, f_measure: 0.5922, kappa: 0.1846, kb_relative_information_score: 190.5443, mean_absolute_error: 0.4697, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5924, predictive_accuracy: 0.5923, prior_entropy: 1, recall: 0.5923, relative_absolute_error: 0.9395, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9838, scimark_benchmark: 1300.6543, usercpu_time_millis: 1921.579, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 1921.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.7391, kappa: 0.4792, kb_relative_information_score: 483.5662, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7417, predictive_accuracy: 0.7396, prior_entropy: 1, recall: 0.7396, relative_absolute_error: 0.848, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8813, scimark_benchmark: 1304.1512, usercpu_time_millis: 1809.525, usercpu_time_millis_testing: 1.061, usercpu_time_millis_training: 1808.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5869, f_measure: 0.5604, kappa: 0.1208, kb_relative_information_score: 200.6167, mean_absolute_error: 0.4656, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5604, predictive_accuracy: 0.5604, prior_entropy: 1, recall: 0.5604, relative_absolute_error: 0.9311, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5163, root_relative_squared_error: 1.0327, scimark_benchmark: 1271.8546, usercpu_time_millis: 961.612, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 961.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6271, f_measure: 0.5946, kappa: 0.1892, kb_relative_information_score: 126.742, mean_absolute_error: 0.4813, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5946, predictive_accuracy: 0.5946, prior_entropy: 1, recall: 0.5946, relative_absolute_error: 0.9627, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4886, root_relative_squared_error: 0.9772, scimark_benchmark: 1302.8913, usercpu_time_millis: 1986.768, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 1986.528,
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: 1304.5319, usercpu_time_millis: 2015.144, usercpu_time_millis_testing: 1.265, usercpu_time_millis_training: 2013.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6488, f_measure: 0.6029, kappa: 0.2062, kb_relative_information_score: 60.8801, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6033, predictive_accuracy: 0.6031, prior_entropy: 1, recall: 0.6031, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9849, usercpu_time_millis: 37.945, usercpu_time_millis_testing: 3.714, usercpu_time_millis_training: 34.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.7246, kappa: 0.4515, kb_relative_information_score: 341.8318, mean_absolute_error: 0.4484, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7296, predictive_accuracy: 0.7258, prior_entropy: 1, recall: 0.7258, relative_absolute_error: 0.8968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9123, usercpu_time_millis: 77.913, usercpu_time_millis_testing: 4.011, usercpu_time_millis_training: 73.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8384, kappa: 0.6769, kb_relative_information_score: 961.2324, mean_absolute_error: 0.3401, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.839, predictive_accuracy: 0.8385, prior_entropy: 1, recall: 0.8385, relative_absolute_error: 0.6803, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7493, usercpu_time_millis: 286.298, usercpu_time_millis_testing: 3.255, usercpu_time_millis_training: 283.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7412, f_measure: 0.6713, kappa: 0.3438, kb_relative_information_score: 192.6669, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6731, predictive_accuracy: 0.6719, prior_entropy: 1, recall: 0.6719, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.9512, usercpu_time_millis: 54.86, usercpu_time_millis_testing: 3.672, usercpu_time_millis_training: 51.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.7875, kappa: 0.5762, kb_relative_information_score: 637.9063, mean_absolute_error: 0.3986, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7911, predictive_accuracy: 0.7881, prior_entropy: 1, recall: 0.7881, relative_absolute_error: 0.7972, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.417, root_relative_squared_error: 0.834, usercpu_time_millis: 135.678, usercpu_time_millis_testing: 4.188, usercpu_time_millis_training: 131.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.6729, kappa: 0.3469, kb_relative_information_score: 221.255, mean_absolute_error: 0.4674, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6746, predictive_accuracy: 0.6735, prior_entropy: 1, recall: 0.6735, relative_absolute_error: 0.9348, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.472, root_relative_squared_error: 0.9441, usercpu_time_millis: 59.522, usercpu_time_millis_testing: 4.013, usercpu_time_millis_training: 55.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.8457, kappa: 0.6915, kb_relative_information_score: 1006.0398, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8461, predictive_accuracy: 0.8458, prior_entropy: 1, recall: 0.8458, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.369, root_relative_squared_error: 0.7381, usercpu_time_millis: 334.506, usercpu_time_millis_testing: 2.754, usercpu_time_millis_training: 331.752,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs