Task
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31709 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9437, kappa: 0.861, kb_relative_information_score: 26430.5593, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9437, predictive_accuracy: 0.9441, prior_entropy: 0.863, recall: 0.9441, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.4592, scimark_benchmark: 1368.0313, usercpu_time_millis: 1324.897, usercpu_time_millis_testing: 14.057, usercpu_time_millis_training: 1310.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9613, kappa: 0.905, kb_relative_information_score: 28859.2212, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9612, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.1713, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.3848, scimark_benchmark: 1372.36, usercpu_time_millis: 3243.887, usercpu_time_millis_testing: 10.14, usercpu_time_millis_training: 3233.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9435, kappa: 0.8608, kb_relative_information_score: 26423.8139, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9434, predictive_accuracy: 0.9438, prior_entropy: 0.863, recall: 0.9438, relative_absolute_error: 0.2424, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.4602, scimark_benchmark: 1368.2491, usercpu_time_millis: 3103.696, usercpu_time_millis_testing: 13.83, usercpu_time_millis_training: 3089.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9481, kappa: 0.8725, kb_relative_information_score: 27241.3741, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.948, predictive_accuracy: 0.9482, prior_entropy: 0.863, recall: 0.9482, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.4422, scimark_benchmark: 1371.8369, usercpu_time_millis: 8152.195, usercpu_time_millis_testing: 13.091, usercpu_time_millis_training: 8139.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9606, kappa: 0.9034, kb_relative_information_score: 28746.3722, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9606, predictive_accuracy: 0.9606, prior_entropy: 0.863, recall: 0.9606, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.3878, scimark_benchmark: 1368.6148, usercpu_time_millis: 4117.595, usercpu_time_millis_testing: 12.834, usercpu_time_millis_training: 4104.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9488, kappa: 0.8743, kb_relative_information_score: 27461.7698, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9487, predictive_accuracy: 0.9489, prior_entropy: 0.863, recall: 0.9489, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.197, root_relative_squared_error: 0.4362, scimark_benchmark: 1371.1789, usercpu_time_millis: 7400.393, usercpu_time_millis_testing: 14.12, usercpu_time_millis_training: 7386.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.927, kappa: 0.818, kb_relative_information_score: 23288.8448, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9284, predictive_accuracy: 0.9285, prior_entropy: 0.863, recall: 0.9285, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.5153, scimark_benchmark: 1356.9718, usercpu_time_millis: 203.347, usercpu_time_millis_testing: 2.733, usercpu_time_millis_training: 200.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9483, kappa: 0.873, kb_relative_information_score: 27113.2229, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9482, predictive_accuracy: 0.9484, prior_entropy: 0.863, recall: 0.9484, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.4435, scimark_benchmark: 1360.3735, usercpu_time_millis: 835.177, usercpu_time_millis_testing: 1.72, usercpu_time_millis_training: 833.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.5089, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1362.0241, usercpu_time_millis: 26.483, usercpu_time_millis_testing: 1.581, usercpu_time_millis_training: 24.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9353, kappa: 0.8398, kb_relative_information_score: 25746.2712, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9356, predictive_accuracy: 0.9361, prior_entropy: 0.863, recall: 0.9361, relative_absolute_error: 0.2623, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.4809, scimark_benchmark: 1370.5113, usercpu_time_millis: 1830.109, usercpu_time_millis_testing: 6.826, usercpu_time_millis_training: 1823.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9141, kappa: 0.7837, kb_relative_information_score: 24337.1953, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9195, predictive_accuracy: 0.9172, prior_entropy: 0.863, recall: 0.9172, relative_absolute_error: 0.2982, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.5352, scimark_benchmark: 1367.4254, usercpu_time_millis: 1619.078, usercpu_time_millis_testing: 3.257, usercpu_time_millis_training: 1615.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9172, kappa: 0.7918, kb_relative_information_score: 23864.5653, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9221, predictive_accuracy: 0.92, prior_entropy: 0.863, recall: 0.92, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.5201, scimark_benchmark: 1364.691, usercpu_time_millis: 2298.419, usercpu_time_millis_testing: 14.296, usercpu_time_millis_training: 2284.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9682, kappa: 0.922, kb_relative_information_score: 29890.429, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9682, predictive_accuracy: 0.9682, prior_entropy: 0.863, recall: 0.9682, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.3503, scimark_benchmark: 1367.2519, usercpu_time_millis: 5118.119, usercpu_time_millis_testing: 13.881, usercpu_time_millis_training: 5104.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9234, kappa: 0.8086, kb_relative_information_score: 20737.7805, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9256, predictive_accuracy: 0.9253, prior_entropy: 0.863, recall: 0.9253, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.5615, scimark_benchmark: 1366.2242, usercpu_time_millis: 225.515, usercpu_time_millis_testing: 6.827, usercpu_time_millis_training: 218.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9589, kappa: 0.8992, kb_relative_information_score: 28393.3058, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.9589, prior_entropy: 0.863, recall: 0.9589, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.179, root_relative_squared_error: 0.3963, scimark_benchmark: 1365.9452, usercpu_time_millis: 2384.221, usercpu_time_millis_testing: 11.785, usercpu_time_millis_training: 2372.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9482, kappa: 0.8729, kb_relative_information_score: 28130.1934, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9481, predictive_accuracy: 0.9482, prior_entropy: 0.863, recall: 0.9482, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4349, scimark_benchmark: 1368.7963, usercpu_time_millis: 10235.717, usercpu_time_millis_testing: 12.641, usercpu_time_millis_training: 10223.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9478, kappa: 0.8717, kb_relative_information_score: 27010.1031, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9477, predictive_accuracy: 0.9479, prior_entropy: 0.863, recall: 0.9479, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4458, scimark_benchmark: 1368.1413, usercpu_time_millis: 2557.591, usercpu_time_millis_testing: 7.419, usercpu_time_millis_training: 2550.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9168, kappa: 0.791, kb_relative_information_score: 22910.669, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9212, predictive_accuracy: 0.9195, prior_entropy: 0.863, recall: 0.9195, relative_absolute_error: 0.3617, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.5328, scimark_benchmark: 1367.5827, usercpu_time_millis: 931.475, usercpu_time_millis_testing: 10.175, usercpu_time_millis_training: 921.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9653, kappa: 0.9147, kb_relative_information_score: 29296.541, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9652, predictive_accuracy: 0.9653, prior_entropy: 0.863, recall: 0.9653, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3668, scimark_benchmark: 1367.5919, usercpu_time_millis: 3317.51, usercpu_time_millis_testing: 10.826, usercpu_time_millis_training: 3306.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.8666, kappa: 0.6765, kb_relative_information_score: 17615.5586, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8686, predictive_accuracy: 0.8653, prior_entropy: 0.863, recall: 0.8653, relative_absolute_error: 0.498, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.6815, scimark_benchmark: 1373.5168, usercpu_time_millis: 404.81, usercpu_time_millis_testing: 4.141, usercpu_time_millis_training: 400.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9572, kappa: 0.895, kb_relative_information_score: 29086.4549, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9573, prior_entropy: 0.863, recall: 0.9573, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3956, scimark_benchmark: 1374.2725, usercpu_time_millis: 16144.048, usercpu_time_millis_testing: 19.499, usercpu_time_millis_training: 16124.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8582, kappa: 0.6516, kb_relative_information_score: 15328.2331, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8579, predictive_accuracy: 0.8586, prior_entropy: 0.863, recall: 0.8586, relative_absolute_error: 0.584, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.7337, scimark_benchmark: 1367.5328, usercpu_time_millis: 237.475, usercpu_time_millis_testing: 8.686, usercpu_time_millis_training: 228.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9602, kappa: 0.9015, kb_relative_information_score: 26302.2995, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9604, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.2701, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.4131, scimark_benchmark: 1374.7326, usercpu_time_millis: 98.64, usercpu_time_millis_testing: 4.192, usercpu_time_millis_training: 94.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.5137, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1368.9526, usercpu_time_millis: 39.259, usercpu_time_millis_testing: 5.126, usercpu_time_millis_training: 34.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9602, kappa: 0.9021, kb_relative_information_score: 28371.6806, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3906, scimark_benchmark: 1374.9988, usercpu_time_millis: 182.734, usercpu_time_millis_testing: 4.134, usercpu_time_millis_training: 178.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8604, kappa: 0.6599, kb_relative_information_score: 15512.5709, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8614, predictive_accuracy: 0.8596, prior_entropy: 0.863, recall: 0.8596, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.7366, scimark_benchmark: 1368.0492, usercpu_time_millis: 164.57, usercpu_time_millis_testing: 2.408, usercpu_time_millis_training: 162.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9383, kappa: 0.8472, kb_relative_information_score: 25566.1606, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9386, predictive_accuracy: 0.939, prior_entropy: 0.863, recall: 0.939, relative_absolute_error: 0.2732, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4766, scimark_benchmark: 1374.1351, usercpu_time_millis: 199.771, usercpu_time_millis_testing: 5.809, usercpu_time_millis_training: 193.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9607, kappa: 0.9034, kb_relative_information_score: 28544.2159, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9606, predictive_accuracy: 0.9608, prior_entropy: 0.863, recall: 0.9608, relative_absolute_error: 0.183, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3881, scimark_benchmark: 1368.4447, usercpu_time_millis: 185.322, usercpu_time_millis_testing: 2.146, usercpu_time_millis_training: 183.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9287, kappa: 0.8221, kb_relative_information_score: 24187.7459, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9303, predictive_accuracy: 0.9302, prior_entropy: 0.863, recall: 0.9302, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.5033, scimark_benchmark: 1374.7693, usercpu_time_millis: 842.26, usercpu_time_millis_testing: 8.855, usercpu_time_millis_training: 833.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9618, kappa: 0.9062, kb_relative_information_score: 28517.2941, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9618, predictive_accuracy: 0.9619, prior_entropy: 0.863, recall: 0.9619, relative_absolute_error: 0.1848, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.3843, scimark_benchmark: 1375.2623, usercpu_time_millis: 927.431, usercpu_time_millis_testing: 15.025, usercpu_time_millis_training: 912.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9485, kappa: 0.8733, kb_relative_information_score: 26968.3566, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9484, predictive_accuracy: 0.9486, prior_entropy: 0.863, recall: 0.9486, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4429, scimark_benchmark: 1372.7905, usercpu_time_millis: 1812.806, usercpu_time_millis_testing: 18.999, usercpu_time_millis_training: 1793.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8631, kappa: 0.6691, kb_relative_information_score: 17394.3714, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8659, predictive_accuracy: 0.8615, prior_entropy: 0.863, recall: 0.8615, relative_absolute_error: 0.5013, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.69, scimark_benchmark: 1369.4342, usercpu_time_millis: 1548.041, usercpu_time_millis_testing: 7.721, usercpu_time_millis_training: 1540.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9531, kappa: 0.8849, kb_relative_information_score: 27586.6669, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9531, predictive_accuracy: 0.9532, prior_entropy: 0.863, recall: 0.9532, relative_absolute_error: 0.2104, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.4247, scimark_benchmark: 1366.071, usercpu_time_millis: 2946.614, usercpu_time_millis_testing: 15.863, usercpu_time_millis_training: 2930.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.968, kappa: 0.9216, kb_relative_information_score: 29664.5351, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.35, scimark_benchmark: 1349.822, usercpu_time_millis: 1367.772, usercpu_time_millis_testing: 11.786, usercpu_time_millis_training: 1355.986,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9187, kappa: 0.7957, kb_relative_information_score: 22533.5604, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9229, predictive_accuracy: 0.9213, prior_entropy: 0.863, recall: 0.9213, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.5349, scimark_benchmark: 1734.6706, usercpu_time_millis: 111.659, usercpu_time_millis_testing: 1.515, usercpu_time_millis_training: 110.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9358, kappa: 0.8407, kb_relative_information_score: 24775.7914, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9365, predictive_accuracy: 0.9368, prior_entropy: 0.863, recall: 0.9368, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.4872, scimark_benchmark: 1843.7637, usercpu_time_millis: 217.363, usercpu_time_millis_testing: 8.761, usercpu_time_millis_training: 208.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9559, kappa: 0.8918, kb_relative_information_score: 28127.0918, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9558, predictive_accuracy: 0.9559, prior_entropy: 0.863, recall: 0.9559, relative_absolute_error: 0.1925, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.4109, scimark_benchmark: 1828.1621, usercpu_time_millis: 387.365, usercpu_time_millis_testing: 1.393, usercpu_time_millis_training: 385.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9364, kappa: 0.8427, kb_relative_information_score: 25737.2875, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9367, predictive_accuracy: 0.9372, prior_entropy: 0.863, recall: 0.9372, relative_absolute_error: 0.2634, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4796, scimark_benchmark: 1829.2661, usercpu_time_millis: 616.723, usercpu_time_millis_testing: 4.264, usercpu_time_millis_training: 612.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9537, kappa: 0.8865, kb_relative_information_score: 27801.7098, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.2025, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.4191, scimark_benchmark: 1849.7595, usercpu_time_millis: 1648.039, usercpu_time_millis_testing: 9.577, usercpu_time_millis_training: 1638.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9377, kappa: 0.8458, kb_relative_information_score: 26083.1563, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.938, predictive_accuracy: 0.9384, prior_entropy: 0.863, recall: 0.9384, relative_absolute_error: 0.2507, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.4739, scimark_benchmark: 1715.9228, usercpu_time_millis: 2126.474, usercpu_time_millis_testing: 11.792, usercpu_time_millis_training: 2114.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9649, kappa: 0.9139, kb_relative_information_score: 29200.3277, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.1623, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.3659, scimark_benchmark: 1728.3071, usercpu_time_millis: 663.405, usercpu_time_millis_testing: 6.952, usercpu_time_millis_training: 656.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9551, kappa: 0.8898, kb_relative_information_score: 27869.7597, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.955, predictive_accuracy: 0.9551, prior_entropy: 0.863, recall: 0.9551, relative_absolute_error: 0.2009, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.4148, scimark_benchmark: 1836.2567, usercpu_time_millis: 2003.119, usercpu_time_millis_testing: 16.39, usercpu_time_millis_training: 1986.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9543, kappa: 0.888, kb_relative_information_score: 27785.2176, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9543, predictive_accuracy: 0.9544, prior_entropy: 0.863, recall: 0.9544, relative_absolute_error: 0.2032, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.4187, scimark_benchmark: 1753.9425, usercpu_time_millis: 2912.809, usercpu_time_millis_testing: 21.028, usercpu_time_millis_training: 2891.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.923, kappa: 0.8071, kb_relative_information_score: 24817.4102, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9264, predictive_accuracy: 0.9252, prior_entropy: 0.863, recall: 0.9252, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.5081, scimark_benchmark: 1716.8362, usercpu_time_millis: 243.825, usercpu_time_millis_testing: 2.457, usercpu_time_millis_training: 241.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -5.1995, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1735.5975, usercpu_time_millis: 38.746, usercpu_time_millis_testing: 6.156, usercpu_time_millis_training: 32.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.917, kappa: 0.7912, kb_relative_information_score: 24336.2879, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9222, predictive_accuracy: 0.9199, prior_entropy: 0.863, recall: 0.9199, relative_absolute_error: 0.306, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.52, scimark_benchmark: 1735.1968, usercpu_time_millis: 431.522, usercpu_time_millis_testing: 7.358, usercpu_time_millis_training: 424.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -7.5756, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1727.5077, usercpu_time_millis: 42.388, usercpu_time_millis_testing: 5.098, usercpu_time_millis_training: 37.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9573, kappa: 0.8954, kb_relative_information_score: 28159.0096, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9573, predictive_accuracy: 0.9573, prior_entropy: 0.863, recall: 0.9573, relative_absolute_error: 0.1921, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.4063, scimark_benchmark: 1730.5828, usercpu_time_millis: 717.121, usercpu_time_millis_testing: 3.587, usercpu_time_millis_training: 713.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -18.4262, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1719.9254, usercpu_time_millis: 4.152, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 3.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9203, kappa: 0.8, kb_relative_information_score: 24519.3809, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9244, predictive_accuracy: 0.9228, prior_entropy: 0.863, recall: 0.9228, relative_absolute_error: 0.3024, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.511, scimark_benchmark: 1733.8252, usercpu_time_millis: 161.867, usercpu_time_millis_testing: 1.692, usercpu_time_millis_training: 160.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.8679, kappa: 0.6781, kb_relative_information_score: 17311.3534, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8688, predictive_accuracy: 0.8673, prior_entropy: 0.863, recall: 0.8673, relative_absolute_error: 0.5104, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6812, scimark_benchmark: 1721.7316, usercpu_time_millis: 587.601, usercpu_time_millis_testing: 9.807, usercpu_time_millis_training: 577.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9462, kappa: 0.8676, kb_relative_information_score: 26798.5383, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9461, predictive_accuracy: 0.9464, prior_entropy: 0.863, recall: 0.9464, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.4465, scimark_benchmark: 1733.3606, usercpu_time_millis: 597.567, usercpu_time_millis_testing: 4.265, usercpu_time_millis_training: 593.302,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9313, kappa: 0.8289, kb_relative_information_score: 19695.813, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9326, predictive_accuracy: 0.9326, prior_entropy: 0.863, recall: 0.9326, relative_absolute_error: 0.4732, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2602, root_relative_squared_error: 0.5759, scimark_benchmark: 1722.7088, usercpu_time_millis: 138.184, usercpu_time_millis_testing: 7.612, usercpu_time_millis_training: 130.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.962, kappa: 0.9068, kb_relative_information_score: 29286.7218, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.9621, prior_entropy: 0.863, recall: 0.9621, relative_absolute_error: 0.1557, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3817, scimark_benchmark: 1720.7608, usercpu_time_millis: 28.126, usercpu_time_millis_testing: 0.604, usercpu_time_millis_training: 27.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9641, kappa: 0.9116, kb_relative_information_score: 28604.9038, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.9642, prior_entropy: 0.863, recall: 0.9642, relative_absolute_error: 0.1844, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.3758, scimark_benchmark: 1733.4704, usercpu_time_millis: 63.552, usercpu_time_millis_testing: 2.076, usercpu_time_millis_training: 61.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9489, kappa: 0.8743, kb_relative_information_score: 26992.2619, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9488, predictive_accuracy: 0.9491, prior_entropy: 0.863, recall: 0.9491, relative_absolute_error: 0.2286, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4417, scimark_benchmark: 1736.5552, usercpu_time_millis: 219.463, usercpu_time_millis_testing: 2.996, usercpu_time_millis_training: 216.467,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9165, kappa: 0.7901, kb_relative_information_score: 23466.7463, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.921, predictive_accuracy: 0.9193, prior_entropy: 0.863, recall: 0.9193, relative_absolute_error: 0.3399, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.5264, scimark_benchmark: 1732.0988, usercpu_time_millis: 174.697, usercpu_time_millis_testing: 1.728, usercpu_time_millis_training: 172.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9355, kappa: 0.8397, kb_relative_information_score: 23506.3637, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9364, predictive_accuracy: 0.9366, prior_entropy: 0.863, recall: 0.9366, relative_absolute_error: 0.3485, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.504, scimark_benchmark: 1734.7321, usercpu_time_millis: 260.511, usercpu_time_millis_testing: 8.855, usercpu_time_millis_training: 251.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9437, kappa: 0.8613, kb_relative_information_score: 26397.7171, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9437, predictive_accuracy: 0.9441, prior_entropy: 0.863, recall: 0.9441, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.4623, scimark_benchmark: 1730.6549, usercpu_time_millis: 396.794, usercpu_time_millis_testing: 2.818, usercpu_time_millis_training: 393.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.934, kappa: 0.8364, kb_relative_information_score: 25242.7699, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9345, predictive_accuracy: 0.9349, prior_entropy: 0.863, recall: 0.9349, relative_absolute_error: 0.2799, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.492, scimark_benchmark: 1733.7613, usercpu_time_millis: 326.883, usercpu_time_millis_testing: 3.215, usercpu_time_millis_training: 323.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9154, kappa: 0.7869, kb_relative_information_score: 24348.9843, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9208, predictive_accuracy: 0.9184, prior_entropy: 0.863, recall: 0.9184, relative_absolute_error: 0.3016, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.5266, scimark_benchmark: 1732.8983, usercpu_time_millis: 943.104, usercpu_time_millis_testing: 4.502, usercpu_time_millis_training: 938.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9521, kappa: 0.8826, kb_relative_information_score: 27812.4817, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9521, predictive_accuracy: 0.9521, prior_entropy: 0.863, recall: 0.9521, relative_absolute_error: 0.2012, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.422, scimark_benchmark: 1733.8252, usercpu_time_millis: 3563.311, usercpu_time_millis_testing: 13.709, usercpu_time_millis_training: 3549.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9327, kappa: 0.8327, kb_relative_information_score: 25201.9661, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9336, predictive_accuracy: 0.9338, prior_entropy: 0.863, recall: 0.9338, relative_absolute_error: 0.2768, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.4979, scimark_benchmark: 1736.0929, usercpu_time_millis: 1626.75, usercpu_time_millis_testing: 7.735, usercpu_time_millis_training: 1619.015,

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