OpenML
Supervised Classification on wilt

Supervised Classification on wilt

Task 9889 Supervised Classification wilt 59008 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9818, kappa: 0.8173, kb_relative_information_score: 2535.6692, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9816, predictive_accuracy: 0.9822, prior_entropy: 0.3037, recall: 0.9822, relative_absolute_error: 0.3281, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.5286, scimark_benchmark: 1349.3886, usercpu_time_millis: 41.797, usercpu_time_millis_testing: 1.85, usercpu_time_millis_training: 39.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9726, kappa: 0.7131, kb_relative_information_score: 1940.0149, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9729, predictive_accuracy: 0.9746, prior_entropy: 0.3037, recall: 0.9746, relative_absolute_error: 0.4421, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1339, root_relative_squared_error: 0.5929, scimark_benchmark: 1341.4133, usercpu_time_millis: 26.687, usercpu_time_millis_testing: 1.525, usercpu_time_millis_training: 25.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9736, kappa: 0.7349, kb_relative_information_score: 2028.6649, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9732, predictive_accuracy: 0.9742, prior_entropy: 0.3037, recall: 0.9742, relative_absolute_error: 0.4277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.139, root_relative_squared_error: 0.6153, scimark_benchmark: 1341.1871, usercpu_time_millis: 52.783, usercpu_time_millis_testing: 2.349, usercpu_time_millis_training: 50.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9747, kappa: 0.756, kb_relative_information_score: 2195.9581, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9752, predictive_accuracy: 0.9744, prior_entropy: 0.3037, recall: 0.9744, relative_absolute_error: 0.3812, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.6308, scimark_benchmark: 1350.6714, usercpu_time_millis: 16.503, usercpu_time_millis_testing: 0.519, usercpu_time_millis_training: 15.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9676, kappa: 0.6627, kb_relative_information_score: 996.7228, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9671, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5826, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.716, scimark_benchmark: 1343.6837, usercpu_time_millis: 31.537, usercpu_time_millis_testing: 1.705, usercpu_time_millis_training: 29.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9704, kappa: 0.6783, kb_relative_information_score: 2029.0264, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9731, predictive_accuracy: 0.9738, prior_entropy: 0.3037, recall: 0.9738, relative_absolute_error: 0.4615, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.5914, scimark_benchmark: 1338.9915, usercpu_time_millis: 3.428, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 3.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9702, kappa: 0.6825, kb_relative_information_score: 1878.9205, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9712, predictive_accuracy: 0.9729, prior_entropy: 0.3037, recall: 0.9729, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1351, root_relative_squared_error: 0.5982, scimark_benchmark: 1355.8649, usercpu_time_millis: 21.424, usercpu_time_millis_testing: 1.341, usercpu_time_millis_training: 20.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.9198, kb_relative_information_score: -1792.1728, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9707, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.9753, scimark_benchmark: 1344.713, usercpu_time_millis: 5.56, usercpu_time_millis_testing: 0.671, usercpu_time_millis_training: 4.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9768, kappa: 0.7546, kb_relative_information_score: 2315.8108, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9781, predictive_accuracy: 0.9787, prior_entropy: 0.3037, recall: 0.9787, relative_absolute_error: 0.3979, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.5509, scimark_benchmark: 1341.8489, usercpu_time_millis: 26.604, usercpu_time_millis_testing: 1.809, usercpu_time_millis_training: 24.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9849, kappa: 0.8493, kb_relative_information_score: 3059.9291, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9847, predictive_accuracy: 0.9851, prior_entropy: 0.3037, recall: 0.9851, relative_absolute_error: 0.2426, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.4761, scimark_benchmark: 1346.3564, usercpu_time_millis: 57.714, usercpu_time_millis_testing: 2.088, usercpu_time_millis_training: 55.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9675, kappa: 0.6478, kb_relative_information_score: 1404.22, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9693, predictive_accuracy: 0.9711, prior_entropy: 0.3037, recall: 0.9711, relative_absolute_error: 0.5355, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.6505, scimark_benchmark: 1334.3079, usercpu_time_millis: 23.584, usercpu_time_millis_testing: 1.957, usercpu_time_millis_training: 21.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.967, kappa: 0.6381, kb_relative_information_score: 1440.483, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9705, predictive_accuracy: 0.9713, prior_entropy: 0.3037, recall: 0.9713, relative_absolute_error: 0.5312, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.6428, scimark_benchmark: 1343.7497, usercpu_time_millis: 0.833, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9848, kappa: 0.8476, kb_relative_information_score: 3014.2526, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9847, predictive_accuracy: 0.9851, prior_entropy: 0.3037, recall: 0.9851, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.4747, scimark_benchmark: 1344.413, usercpu_time_millis: 10.423, usercpu_time_millis_testing: 0.565, usercpu_time_millis_training: 9.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9831, kappa: 0.832, kb_relative_information_score: 3260.3957, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9829, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.2136, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.5105, scimark_benchmark: 1342.9813, usercpu_time_millis: 76.3, usercpu_time_millis_testing: 2.548, usercpu_time_millis_training: 73.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9198, kb_relative_information_score: -415.6988, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8001, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.8315, scimark_benchmark: 1346.1546, usercpu_time_millis: 14.909, usercpu_time_millis_testing: 1.451, usercpu_time_millis_training: 13.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9822, kappa: 0.8252, kb_relative_information_score: 3099.5005, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9822, predictive_accuracy: 0.9822, prior_entropy: 0.3037, recall: 0.9822, relative_absolute_error: 0.2285, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.5099, scimark_benchmark: 1349.1259, usercpu_time_millis: 39.181, usercpu_time_millis_testing: 1.203, usercpu_time_millis_training: 37.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9692, kappa: 0.6808, kb_relative_information_score: 1254.0256, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9688, predictive_accuracy: 0.9711, prior_entropy: 0.3037, recall: 0.9711, relative_absolute_error: 0.475, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.6586, scimark_benchmark: 1343.898, usercpu_time_millis: 37.312, usercpu_time_millis_testing: 1.316, usercpu_time_millis_training: 35.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.9198, kb_relative_information_score: -2060.4003, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.9766, scimark_benchmark: 1349.0606, usercpu_time_millis: 6.971, usercpu_time_millis_testing: 0.877, usercpu_time_millis_training: 6.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.9198, kb_relative_information_score: -1280.2467, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9687, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.9728, scimark_benchmark: 1343.4458, usercpu_time_millis: 11.624, usercpu_time_millis_testing: 1.527, usercpu_time_millis_training: 10.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.969, kappa: 0.6744, kb_relative_information_score: 998.8018, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.969, predictive_accuracy: 0.9713, prior_entropy: 0.3037, recall: 0.9713, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.7052, scimark_benchmark: 1348.1496, usercpu_time_millis: 20.223, usercpu_time_millis_testing: 1.021, usercpu_time_millis_training: 19.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9784, kappa: 0.7808, kb_relative_information_score: 2217.6177, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9782, predictive_accuracy: 0.9791, prior_entropy: 0.3037, recall: 0.9791, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.5498, scimark_benchmark: 1346.8595, usercpu_time_millis: 17.034, usercpu_time_millis_testing: 0.789, usercpu_time_millis_training: 16.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.984, kappa: 0.8385, kb_relative_information_score: 3038.0936, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.984, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.2695, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.482, scimark_benchmark: 1348.4393, usercpu_time_millis: 3.521, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 3.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9687, kappa: 0.6651, kb_relative_information_score: 1483.8908, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9697, predictive_accuracy: 0.9717, prior_entropy: 0.3037, recall: 0.9717, relative_absolute_error: 0.5177, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1453, root_relative_squared_error: 0.6431, scimark_benchmark: 1352.2059, usercpu_time_millis: 19.785, usercpu_time_millis_testing: 1.37, usercpu_time_millis_training: 18.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.9198, kb_relative_information_score: -80.7616, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.8138, scimark_benchmark: 1350.7122, usercpu_time_millis: 17.439, usercpu_time_millis_testing: 1.764, usercpu_time_millis_training: 15.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9775, kappa: 0.7665, kb_relative_information_score: 2246.5265, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9779, predictive_accuracy: 0.9789, prior_entropy: 0.3037, recall: 0.9789, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.5588, scimark_benchmark: 1334.5817, usercpu_time_millis: 42.502, usercpu_time_millis_testing: 2.193, usercpu_time_millis_training: 40.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.9198, kb_relative_information_score: -1360.8774, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9673, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.9716, scimark_benchmark: 1350.1683, usercpu_time_millis: 9.999, usercpu_time_millis_testing: 1.213, usercpu_time_millis_training: 8.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9693, kappa: 0.6764, kb_relative_information_score: 1145.7824, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9695, predictive_accuracy: 0.9717, prior_entropy: 0.3037, recall: 0.9717, relative_absolute_error: 0.4778, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.6652, scimark_benchmark: 1339.3088, usercpu_time_millis: 0.301, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9685, kappa: 0.6756, kb_relative_information_score: 1078.3992, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.968, predictive_accuracy: 0.9702, prior_entropy: 0.3037, recall: 0.9702, relative_absolute_error: 0.4818, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.6785, scimark_benchmark: 1330.0674, usercpu_time_millis: 30.151, usercpu_time_millis_testing: 1.193, usercpu_time_millis_training: 28.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9834, kappa: 0.833, kb_relative_information_score: 3128.8943, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9833, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2517, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.109, root_relative_squared_error: 0.4826, scimark_benchmark: 1343.294, usercpu_time_millis: 37.939, usercpu_time_millis_testing: 1.865, usercpu_time_millis_training: 36.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9751, kappa: 0.7336, kb_relative_information_score: 2283.1275, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9771, predictive_accuracy: 0.9775, prior_entropy: 0.3037, recall: 0.9775, relative_absolute_error: 0.421, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.5702, scimark_benchmark: 1340.1849, usercpu_time_millis: 3.147, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 2.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9825, kappa: 0.8294, kb_relative_information_score: 2924.1489, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9826, predictive_accuracy: 0.9824, prior_entropy: 0.3037, recall: 0.9824, relative_absolute_error: 0.2495, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.5174, scimark_benchmark: 1350.86, usercpu_time_millis: 72.76, usercpu_time_millis_testing: 2.494, usercpu_time_millis_training: 70.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9795, kappa: 0.7921, kb_relative_information_score: 2295.3124, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9793, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.3499, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1221, root_relative_squared_error: 0.5404, scimark_benchmark: 1347.8978, usercpu_time_millis: 17.819, usercpu_time_millis_testing: 0.833, usercpu_time_millis_training: 16.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.9198, kb_relative_information_score: -2445.0985, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8791, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.203, root_relative_squared_error: 0.8987, scimark_benchmark: 1352.9645, usercpu_time_millis: 18.593, usercpu_time_millis_testing: 1.49, usercpu_time_millis_training: 17.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9842, kappa: 0.841, kb_relative_information_score: 3014.7548, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9842, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.2716, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.482, scimark_benchmark: 1334.9203, usercpu_time_millis: 14.23, usercpu_time_millis_testing: 0.657, usercpu_time_millis_training: 13.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.9198, kb_relative_information_score: -1283.8853, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.927, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.9354, scimark_benchmark: 1348.3617, usercpu_time_millis: 10.974, usercpu_time_millis_testing: 1.429, usercpu_time_millis_training: 9.545,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.9198, kb_relative_information_score: -1503.3404, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8755, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.8928, scimark_benchmark: 1341.0704, usercpu_time_millis: 4.134, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 3.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.9198, kb_relative_information_score: 1.8185, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1340.0902, usercpu_time_millis: 3.5, usercpu_time_millis_testing: 0.687, usercpu_time_millis_training: 2.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 985.168, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.7245, scimark_benchmark: 1347.0169, usercpu_time_millis: 25.946, usercpu_time_millis_testing: 0.99, usercpu_time_millis_training: 24.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.9198, kb_relative_information_score: -986.5999, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9181, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.9274, scimark_benchmark: 1347.6729, usercpu_time_millis: 5.062, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 4.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9715, kappa: 0.7008, kb_relative_information_score: 1812.5907, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9717, predictive_accuracy: 0.9735, prior_entropy: 0.3037, recall: 0.9735, relative_absolute_error: 0.4539, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.6052, scimark_benchmark: 1336.3174, usercpu_time_millis: 12.832, usercpu_time_millis_testing: 0.744, usercpu_time_millis_training: 12.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.972, kappa: 0.714, kb_relative_information_score: 2038.9488, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9715, predictive_accuracy: 0.9731, prior_entropy: 0.3037, recall: 0.9731, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.5951, scimark_benchmark: 1342.0195, usercpu_time_millis: 7.632, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 7.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9613, kappa: 0.568, kb_relative_information_score: 1072.9431, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9659, predictive_accuracy: 0.9671, prior_entropy: 0.3037, recall: 0.9671, relative_absolute_error: 0.6054, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.156, root_relative_squared_error: 0.6907, scimark_benchmark: 1337.2209, usercpu_time_millis: 16.704, usercpu_time_millis_testing: 1.499, usercpu_time_millis_training: 15.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9699, kappa: 0.686, kb_relative_information_score: 1403.5514, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9697, predictive_accuracy: 0.9719, prior_entropy: 0.3037, recall: 0.9719, relative_absolute_error: 0.4769, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.6458, scimark_benchmark: 1317.2559, usercpu_time_millis: 35.557, usercpu_time_millis_testing: 1.534, usercpu_time_millis_training: 34.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9842, kappa: 0.841, kb_relative_information_score: 3013.1027, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9842, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.2685, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.4816, scimark_benchmark: 1346.4725, usercpu_time_millis: 20.567, usercpu_time_millis_testing: 0.976, usercpu_time_millis_training: 19.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.969, kappa: 0.6734, kb_relative_information_score: 973.1192, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9692, predictive_accuracy: 0.9715, prior_entropy: 0.3037, recall: 0.9715, relative_absolute_error: 0.5885, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.7073, scimark_benchmark: 1345.4638, usercpu_time_millis: 14.113, usercpu_time_millis_testing: 0.7, usercpu_time_millis_training: 13.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9786, kappa: 0.7881, kb_relative_information_score: 2269.0666, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9784, predictive_accuracy: 0.9789, prior_entropy: 0.3037, recall: 0.9789, relative_absolute_error: 0.3635, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.5612, scimark_benchmark: 1347.1081, usercpu_time_millis: 8.461, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 8.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.967, kappa: 0.6442, kb_relative_information_score: 971.1514, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9683, predictive_accuracy: 0.9704, prior_entropy: 0.3037, recall: 0.9704, relative_absolute_error: 0.6049, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.7089, scimark_benchmark: 1345.7775, usercpu_time_millis: 5.413, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 5.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9819, kappa: 0.8141, kb_relative_information_score: 2906.7888, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9822, predictive_accuracy: 0.9828, prior_entropy: 0.3037, recall: 0.9828, relative_absolute_error: 0.3077, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.501, scimark_benchmark: 1351.9199, usercpu_time_millis: 37.06, usercpu_time_millis_testing: 1.842, usercpu_time_millis_training: 35.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9843, kappa: 0.8416, kb_relative_information_score: 3112.0568, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9842, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.2567, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.108, root_relative_squared_error: 0.4783, scimark_benchmark: 1336.8918, usercpu_time_millis: 39.501, usercpu_time_millis_testing: 1.505, usercpu_time_millis_training: 37.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9841, kappa: 0.8397, kb_relative_information_score: 3046.6575, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.984, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.2623, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.4804, scimark_benchmark: 1350.9853, usercpu_time_millis: 20.658, usercpu_time_millis_testing: 0.945, usercpu_time_millis_training: 19.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.9198, kb_relative_information_score: 2.9832, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1345.0576, usercpu_time_millis: 5.57, usercpu_time_millis_testing: 0.961, usercpu_time_millis_training: 4.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9803, kappa: 0.7964, kb_relative_information_score: 2380.4929, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9806, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.3688, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.5418, scimark_benchmark: 1364.0638, usercpu_time_millis: 51.071, usercpu_time_millis_testing: 2.4, usercpu_time_millis_training: 48.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.966, kappa: 0.6374, kb_relative_information_score: 962.9387, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9665, predictive_accuracy: 0.9692, prior_entropy: 0.3037, recall: 0.9692, relative_absolute_error: 0.5886, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.702, scimark_benchmark: 1350.3019, usercpu_time_millis: 7.824, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 7.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9839, kappa: 0.8391, kb_relative_information_score: 3142.1466, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9838, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.4741, scimark_benchmark: 1368.0456, usercpu_time_millis: 47.34, usercpu_time_millis_testing: 1.729, usercpu_time_millis_training: 45.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.966, kappa: 0.6358, kb_relative_information_score: 935.272, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9668, predictive_accuracy: 0.9694, prior_entropy: 0.3037, recall: 0.9694, relative_absolute_error: 0.597, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.159, root_relative_squared_error: 0.7037, scimark_benchmark: 1344.7965, usercpu_time_millis: 1.068, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9799, kappa: 0.7904, kb_relative_information_score: 2504.1713, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9806, predictive_accuracy: 0.9812, prior_entropy: 0.3037, recall: 0.9812, relative_absolute_error: 0.3618, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1193, root_relative_squared_error: 0.5282, scimark_benchmark: 1368.6395, usercpu_time_millis: 18.366, usercpu_time_millis_testing: 0.763, usercpu_time_millis_training: 17.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9825, kappa: 0.8215, kb_relative_information_score: 2850.1556, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9826, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.3087, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.5036, scimark_benchmark: 1365.0942, usercpu_time_millis: 15.868, usercpu_time_millis_testing: 0.733, usercpu_time_millis_training: 15.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.982, kappa: 0.8163, kb_relative_information_score: 2909.0639, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9822, predictive_accuracy: 0.9828, prior_entropy: 0.3037, recall: 0.9828, relative_absolute_error: 0.2998, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.113, root_relative_squared_error: 0.5004, scimark_benchmark: 1367.4731, usercpu_time_millis: 15.735, usercpu_time_millis_testing: 0.752, usercpu_time_millis_training: 14.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9832, kappa: 0.8332, kb_relative_information_score: 2939.9631, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9831, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1107, root_relative_squared_error: 0.4902, scimark_benchmark: 1369.1057, usercpu_time_millis: 13.466, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 12.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.9198, kb_relative_information_score: -1728.4496, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9716, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.9761, scimark_benchmark: 1365.1961, usercpu_time_millis: 12.22, usercpu_time_millis_testing: 1.268, usercpu_time_millis_training: 10.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.9198, kb_relative_information_score: 2.5868, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1362.7899, usercpu_time_millis: 8.286, usercpu_time_millis_testing: 1.166, usercpu_time_millis_training: 7.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9741, kappa: 0.7261, kb_relative_information_score: 2381.8496, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9751, predictive_accuracy: 0.9762, prior_entropy: 0.3037, recall: 0.9762, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.126, root_relative_squared_error: 0.5579, scimark_benchmark: 1868.6447, usercpu_time_millis: 41.727, usercpu_time_millis_testing: 2.693, usercpu_time_millis_training: 39.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9813, kappa: 0.8078, kb_relative_information_score: 2864.639, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9815, predictive_accuracy: 0.9822, prior_entropy: 0.3037, recall: 0.9822, relative_absolute_error: 0.3174, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.5052, scimark_benchmark: 1860.3388, usercpu_time_millis: 40.545, usercpu_time_millis_testing: 2.716, usercpu_time_millis_training: 37.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9831, kappa: 0.832, kb_relative_information_score: 3226.5398, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9829, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.2166, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.502, scimark_benchmark: 1859.4881, usercpu_time_millis: 36.577, usercpu_time_millis_testing: 1.089, usercpu_time_millis_training: 35.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.981, kappa: 0.8036, kb_relative_information_score: 2444.9022, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9813, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.3586, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.5345, scimark_benchmark: 1873.4805, usercpu_time_millis: 31.067, usercpu_time_millis_testing: 1.362, usercpu_time_millis_training: 29.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9767, kappa: 0.7764, kb_relative_information_score: 2369.6563, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9773, predictive_accuracy: 0.9762, prior_entropy: 0.3037, recall: 0.9762, relative_absolute_error: 0.3448, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.6034, scimark_benchmark: 1866.1679, usercpu_time_millis: 28.325, usercpu_time_millis_testing: 0.697, usercpu_time_millis_training: 27.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9848, kappa: 0.8482, kb_relative_information_score: 3142.4474, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9847, predictive_accuracy: 0.9851, prior_entropy: 0.3037, recall: 0.9851, relative_absolute_error: 0.2404, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.107, root_relative_squared_error: 0.4735, scimark_benchmark: 1873.4078, usercpu_time_millis: 27.135, usercpu_time_millis_testing: 0.905, usercpu_time_millis_training: 26.23,

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