OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31677 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: 0.9779, f_measure: 0.9277, kappa: 0.8196, kb_relative_information_score: 24965.9297, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9295, predictive_accuracy: 0.9293, prior_entropy: 0.863, recall: 0.9293, relative_absolute_error: 0.2802, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.5084, scimark_benchmark: 1827.587, usercpu_time_millis: 1144.991, usercpu_time_millis_testing: 3.861, usercpu_time_millis_training: 1141.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9141, kappa: 0.7839, kb_relative_information_score: 24380.8067, mean_absolute_error: 0.1209, 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: 0.2963, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.5362, scimark_benchmark: 1854.4431, usercpu_time_millis: 1864.383, usercpu_time_millis_testing: 5.881, usercpu_time_millis_training: 1858.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.864, kappa: 0.671, kb_relative_information_score: 17399.8475, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8666, predictive_accuracy: 0.8624, prior_entropy: 0.863, recall: 0.8624, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.311, root_relative_squared_error: 0.6885, scimark_benchmark: 1853.454, usercpu_time_millis: 1629.506, usercpu_time_millis_testing: 10.157, usercpu_time_millis_training: 1619.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9232, kappa: 0.8077, kb_relative_information_score: 24871.237, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9259, predictive_accuracy: 0.9252, prior_entropy: 0.863, recall: 0.9252, relative_absolute_error: 0.2834, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.5109, scimark_benchmark: 1849.3014, usercpu_time_millis: 1608.346, usercpu_time_millis_testing: 5.168, usercpu_time_millis_training: 1603.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9509, kappa: 0.8793, kb_relative_information_score: 27506.6294, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9508, predictive_accuracy: 0.951, prior_entropy: 0.863, recall: 0.951, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.431, scimark_benchmark: 1842.598, usercpu_time_millis: 633.905, usercpu_time_millis_testing: 3.399, usercpu_time_millis_training: 630.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8683, kappa: 0.6795, kb_relative_information_score: 17352.7878, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8695, predictive_accuracy: 0.8675, prior_entropy: 0.863, recall: 0.8675, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.309, root_relative_squared_error: 0.6841, scimark_benchmark: 1849.7595, usercpu_time_millis: 651.529, usercpu_time_millis_testing: 7.712, usercpu_time_millis_training: 643.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9541, kappa: 0.8873, kb_relative_information_score: 27713.2449, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.954, predictive_accuracy: 0.9541, prior_entropy: 0.863, recall: 0.9541, relative_absolute_error: 0.2058, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.4199, scimark_benchmark: 1825.7178, usercpu_time_millis: 656.144, usercpu_time_millis_testing: 5.311, usercpu_time_millis_training: 650.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9376, kappa: 0.8457, kb_relative_information_score: 25943.1483, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9378, predictive_accuracy: 0.9383, prior_entropy: 0.863, recall: 0.9383, relative_absolute_error: 0.257, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4732, scimark_benchmark: 1842.6679, usercpu_time_millis: 857.522, usercpu_time_millis_testing: 8.487, usercpu_time_millis_training: 849.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9422, kappa: 0.8575, kb_relative_information_score: 26242.8573, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9421, predictive_accuracy: 0.9425, prior_entropy: 0.863, recall: 0.9425, relative_absolute_error: 0.2493, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.461, scimark_benchmark: 1738.6549, usercpu_time_millis: 886.042, usercpu_time_millis_testing: 12.406, usercpu_time_millis_training: 873.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9149, kappa: 0.7859, kb_relative_information_score: 24374.2969, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9203, predictive_accuracy: 0.918, prior_entropy: 0.863, recall: 0.918, relative_absolute_error: 0.2998, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.5277, scimark_benchmark: 1853.3841, usercpu_time_millis: 818.509, usercpu_time_millis_testing: 3.514, usercpu_time_millis_training: 814.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9439, kappa: 0.8618, kb_relative_information_score: 26481.7381, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9438, predictive_accuracy: 0.9441, prior_entropy: 0.863, recall: 0.9441, relative_absolute_error: 0.2412, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4567, scimark_benchmark: 1844.7681, usercpu_time_millis: 836.576, usercpu_time_millis_testing: 8.341, usercpu_time_millis_training: 828.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9464, kappa: 0.8682, kb_relative_information_score: 26925.9555, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9463, predictive_accuracy: 0.9466, prior_entropy: 0.863, recall: 0.9466, relative_absolute_error: 0.2278, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.4477, scimark_benchmark: 1848.2615, usercpu_time_millis: 862.956, usercpu_time_millis_testing: 3.975, usercpu_time_millis_training: 858.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9196, kappa: 0.7985, kb_relative_information_score: 24677.3925, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.923, predictive_accuracy: 0.922, prior_entropy: 0.863, recall: 0.922, relative_absolute_error: 0.2892, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.5177, scimark_benchmark: 1845.3975, usercpu_time_millis: 930.981, usercpu_time_millis_testing: 4.218, usercpu_time_millis_training: 926.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.8683, kappa: 0.6793, kb_relative_information_score: 17335.7681, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8694, predictive_accuracy: 0.8675, prior_entropy: 0.863, recall: 0.8675, relative_absolute_error: 0.5081, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.682, scimark_benchmark: 1832.5979, usercpu_time_millis: 909.332, usercpu_time_millis_testing: 10.038, usercpu_time_millis_training: 899.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9496, kappa: 0.8764, kb_relative_information_score: 28338.4468, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9496, predictive_accuracy: 0.9496, prior_entropy: 0.863, recall: 0.9496, relative_absolute_error: 0.181, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.4257, scimark_benchmark: 1301.6277, usercpu_time_millis: 11047.275, usercpu_time_millis_testing: 73.354, usercpu_time_millis_training: 10973.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9477, kappa: 0.8718, kb_relative_information_score: 28152.8592, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9477, predictive_accuracy: 0.9478, prior_entropy: 0.863, recall: 0.9478, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.4323, scimark_benchmark: 1312.0231, usercpu_time_millis: 10443.431, usercpu_time_millis_testing: 89.096, usercpu_time_millis_training: 10354.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9481, kappa: 0.8726, kb_relative_information_score: 28271.6253, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.948, predictive_accuracy: 0.9481, prior_entropy: 0.863, recall: 0.9481, relative_absolute_error: 0.1829, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4283, scimark_benchmark: 1314.0029, usercpu_time_millis: 8924.208, usercpu_time_millis_testing: 68.921, usercpu_time_millis_training: 8855.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9582, kappa: 0.8969, kb_relative_information_score: 29155.8879, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9582, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.1628, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3955, scimark_benchmark: 1292.6252, usercpu_time_millis: 18111.511, usercpu_time_millis_testing: 66.717, usercpu_time_millis_training: 18044.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.9183, kappa: 0.7959, kb_relative_information_score: 23703.9188, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9204, predictive_accuracy: 0.9203, prior_entropy: 0.863, recall: 0.9203, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.26, root_relative_squared_error: 0.5756, usercpu_time_millis: 42.246, usercpu_time_millis_testing: 1.016, usercpu_time_millis_training: 41.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9537, kappa: 0.8864, kb_relative_information_score: 29105.8053, mean_absolute_error: 0.065, 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: 0.1593, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4357, usercpu_time_millis: 50.864, usercpu_time_millis_testing: 1.037, usercpu_time_millis_training: 49.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.9264, kappa: 0.817, kb_relative_information_score: 24861.236, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9272, predictive_accuracy: 0.9276, prior_entropy: 0.863, recall: 0.9276, relative_absolute_error: 0.2933, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2461, root_relative_squared_error: 0.5448, usercpu_time_millis: 44.254, usercpu_time_millis_testing: 1.013, usercpu_time_millis_training: 43.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.9072, kappa: 0.766, kb_relative_information_score: 22183.0473, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9136, predictive_accuracy: 0.9109, prior_entropy: 0.863, recall: 0.9109, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.6191, usercpu_time_millis: 41.135, usercpu_time_millis_testing: 1.093, usercpu_time_millis_training: 40.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9547, kappa: 0.8889, kb_relative_information_score: 29329.5457, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9547, predictive_accuracy: 0.9548, prior_entropy: 0.863, recall: 0.9548, relative_absolute_error: 0.1518, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4402, usercpu_time_millis: 53.51, usercpu_time_millis_testing: 1.098, usercpu_time_millis_training: 52.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9537, kappa: 0.8864, kb_relative_information_score: 28997.1898, mean_absolute_error: 0.0669, 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: 0.1639, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.197, root_relative_squared_error: 0.436, usercpu_time_millis: 53.948, usercpu_time_millis_testing: 1.062, usercpu_time_millis_training: 52.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8976, kappa: 0.746, kb_relative_information_score: 20437.8921, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8975, predictive_accuracy: 0.8991, prior_entropy: 0.863, recall: 0.8991, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.6639, usercpu_time_millis: 39.58, usercpu_time_millis_testing: 1.042, usercpu_time_millis_training: 38.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8976, kappa: 0.746, kb_relative_information_score: 20437.8921, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8975, predictive_accuracy: 0.8991, prior_entropy: 0.863, recall: 0.8991, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.6639, usercpu_time_millis: 38, usercpu_time_millis_testing: 1.236, usercpu_time_millis_training: 36.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8976, kappa: 0.746, kb_relative_information_score: 20437.8921, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8975, predictive_accuracy: 0.8991, prior_entropy: 0.863, recall: 0.8991, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.6639, usercpu_time_millis: 38.209, usercpu_time_millis_testing: 1.208, usercpu_time_millis_training: 37.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.9072, kappa: 0.766, kb_relative_information_score: 22183.0473, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9136, predictive_accuracy: 0.9109, prior_entropy: 0.863, recall: 0.9109, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.6191, usercpu_time_millis: 40.699, usercpu_time_millis_testing: 1.379, usercpu_time_millis_training: 39.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9523, kappa: 0.883, kb_relative_information_score: 28782.3761, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9523, predictive_accuracy: 0.9524, prior_entropy: 0.863, recall: 0.9524, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.4351, usercpu_time_millis: 51.966, usercpu_time_millis_testing: 1.286, usercpu_time_millis_training: 50.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9528, kappa: 0.8842, kb_relative_information_score: 29005.5613, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9528, predictive_accuracy: 0.9529, prior_entropy: 0.863, recall: 0.9529, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.437, usercpu_time_millis: 52.269, usercpu_time_millis_testing: 1.068, usercpu_time_millis_training: 51.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.9321, kappa: 0.8319, kb_relative_information_score: 25686.6379, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9323, predictive_accuracy: 0.9329, prior_entropy: 0.863, recall: 0.9329, relative_absolute_error: 0.2672, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.5199, usercpu_time_millis: 43.562, usercpu_time_millis_testing: 1.319, usercpu_time_millis_training: 42.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.9039, kappa: 0.7589, kb_relative_information_score: 21558.856, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9067, predictive_accuracy: 0.9067, prior_entropy: 0.863, recall: 0.9067, relative_absolute_error: 0.4031, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.6364, usercpu_time_millis: 38.147, usercpu_time_millis_testing: 1.025, usercpu_time_millis_training: 37.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9427, kappa: 0.8595, kb_relative_information_score: 27153.2645, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9427, predictive_accuracy: 0.9428, prior_entropy: 0.863, recall: 0.9428, relative_absolute_error: 0.2222, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4769, usercpu_time_millis: 49.172, usercpu_time_millis_testing: 1.017, usercpu_time_millis_training: 48.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9673, kappa: 0.9198, kb_relative_information_score: 29549.9204, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.158, root_relative_squared_error: 0.3498, usercpu_time_millis: 497.945, usercpu_time_millis_testing: 17.55, usercpu_time_millis_training: 480.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9681, kappa: 0.9217, kb_relative_information_score: 29767.7616, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9681, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.1451, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.3484, usercpu_time_millis: 1194.206, usercpu_time_millis_testing: 14.518, usercpu_time_millis_training: 1179.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9544, kappa: 0.887, kb_relative_information_score: 23977.6871, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.955, predictive_accuracy: 0.9549, prior_entropy: 0.863, recall: 0.9549, relative_absolute_error: 0.3487, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4671, usercpu_time_millis: 165.011, usercpu_time_millis_testing: 10.546, usercpu_time_millis_training: 154.465,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9636, kappa: 0.9107, kb_relative_information_score: 28960.1513, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9636, predictive_accuracy: 0.9637, prior_entropy: 0.863, recall: 0.9637, relative_absolute_error: 0.1702, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.3745, scimark_benchmark: 1728.8162, usercpu_time_millis: 171.947, usercpu_time_millis_testing: 3.032, usercpu_time_millis_training: 168.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.8596, kappa: 0.655, kb_relative_information_score: 15734.6315, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8593, predictive_accuracy: 0.8599, prior_entropy: 0.863, recall: 0.8599, relative_absolute_error: 0.5709, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.7136, scimark_benchmark: 1845.3208, usercpu_time_millis: 151.291, usercpu_time_millis_testing: 5.885, usercpu_time_millis_training: 145.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.8582, kappa: 0.6549, kb_relative_information_score: 15539.8097, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8595, predictive_accuracy: 0.8572, prior_entropy: 0.863, recall: 0.8572, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.7421, scimark_benchmark: 1844.7928, usercpu_time_millis: 184.497, usercpu_time_millis_testing: 3.461, usercpu_time_millis_training: 181.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9196, kappa: 0.7981, kb_relative_information_score: 22920.2511, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9235, predictive_accuracy: 0.9221, prior_entropy: 0.863, recall: 0.9221, relative_absolute_error: 0.3638, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.5275, scimark_benchmark: 1854.4951, usercpu_time_millis: 342.138, usercpu_time_millis_testing: 6.14, usercpu_time_millis_training: 335.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9595, kappa: 0.9006, kb_relative_information_score: 28485.24, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.3903, scimark_benchmark: 1847.653, usercpu_time_millis: 339.874, usercpu_time_millis_testing: 4.043, usercpu_time_millis_training: 335.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.8583, kappa: 0.6554, kb_relative_information_score: 15554.9817, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8596, predictive_accuracy: 0.8574, prior_entropy: 0.863, recall: 0.8574, relative_absolute_error: 0.574, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.7421, scimark_benchmark: 1835.9872, usercpu_time_millis: 393.046, usercpu_time_millis_testing: 8.335, usercpu_time_millis_training: 384.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9572, kappa: 0.8948, kb_relative_information_score: 27800.631, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9571, predictive_accuracy: 0.9573, prior_entropy: 0.863, recall: 0.9573, relative_absolute_error: 0.2055, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.408, scimark_benchmark: 1840.1791, usercpu_time_millis: 416.35, usercpu_time_millis_testing: 8.059, usercpu_time_millis_training: 408.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.8662, kappa: 0.6733, kb_relative_information_score: 17096.3206, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8667, predictive_accuracy: 0.8658, prior_entropy: 0.863, recall: 0.8658, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.6833, scimark_benchmark: 1843.2356, usercpu_time_millis: 433.351, usercpu_time_millis_testing: 8.748, usercpu_time_millis_training: 424.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9109, kappa: 0.7789, kb_relative_information_score: 21802.7045, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9111, predictive_accuracy: 0.9122, prior_entropy: 0.863, recall: 0.9122, relative_absolute_error: 0.3927, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.5622, scimark_benchmark: 1802.471, usercpu_time_millis: 477.893, usercpu_time_millis_testing: 3.494, usercpu_time_millis_training: 474.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9159, kappa: 0.7883, kb_relative_information_score: 24192.2431, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9211, predictive_accuracy: 0.9188, prior_entropy: 0.863, recall: 0.9188, relative_absolute_error: 0.3093, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.237, root_relative_squared_error: 0.5247, scimark_benchmark: 1842.7288, usercpu_time_millis: 38.05, usercpu_time_millis_testing: 0.574, usercpu_time_millis_training: 37.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.1488, 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: 1834.5679, usercpu_time_millis: 33.734, usercpu_time_millis_testing: 4.313, usercpu_time_millis_training: 29.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8646, kappa: 0.6687, kb_relative_information_score: 16862.7416, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8648, predictive_accuracy: 0.8644, prior_entropy: 0.863, recall: 0.8644, relative_absolute_error: 0.5303, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6929, scimark_benchmark: 1852.859, usercpu_time_millis: 30.909, usercpu_time_millis_testing: 0.807, usercpu_time_millis_training: 30.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.9307, 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: 1732.2075, usercpu_time_millis: 52.387, usercpu_time_millis_testing: 6.272, usercpu_time_millis_training: 46.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9245, kappa: 0.8112, kb_relative_information_score: 24115.5933, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9269, predictive_accuracy: 0.9264, prior_entropy: 0.863, recall: 0.9264, relative_absolute_error: 0.3201, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.23, root_relative_squared_error: 0.5091, scimark_benchmark: 1842.0729, usercpu_time_millis: 49.792, usercpu_time_millis_testing: 0.677, usercpu_time_millis_training: 49.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -2.6168, 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: 1807.998, usercpu_time_millis: 20.561, usercpu_time_millis_testing: 3.281, usercpu_time_millis_training: 17.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -13.5224, 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: 1853.9121, usercpu_time_millis: 27.294, usercpu_time_millis_testing: 2.744, usercpu_time_millis_training: 24.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9626, kappa: 0.9082, kb_relative_information_score: 29189.4335, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9626, predictive_accuracy: 0.9626, prior_entropy: 0.863, recall: 0.9626, relative_absolute_error: 0.1602, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.3805, scimark_benchmark: 1849.3014, usercpu_time_millis: 39.635, usercpu_time_millis_testing: 0.589, usercpu_time_millis_training: 39.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9481, kappa: 0.872, kb_relative_information_score: 26768.9808, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.948, predictive_accuracy: 0.9484, prior_entropy: 0.863, recall: 0.9484, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.4443, scimark_benchmark: 1852.0126, usercpu_time_millis: 20.214, usercpu_time_millis_testing: 0.988, usercpu_time_millis_training: 19.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.29, 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: 1834.5111, usercpu_time_millis: 37.133, usercpu_time_millis_testing: 7.626, usercpu_time_millis_training: 29.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.8177, 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: 1841.2811, usercpu_time_millis: 65.807, usercpu_time_millis_testing: 5.886, usercpu_time_millis_training: 59.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.935, kappa: 0.839, kb_relative_information_score: 25838.9389, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9353, predictive_accuracy: 0.9358, prior_entropy: 0.863, recall: 0.9358, relative_absolute_error: 0.2588, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.4794, scimark_benchmark: 1853.3841, usercpu_time_millis: 46.809, usercpu_time_millis_testing: 0.614, usercpu_time_millis_training: 46.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8581, kappa: 0.6516, kb_relative_information_score: 15419.0727, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8578, predictive_accuracy: 0.8584, prior_entropy: 0.863, recall: 0.8584, relative_absolute_error: 0.5803, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.7367, scimark_benchmark: 1815.0712, usercpu_time_millis: 39.933, usercpu_time_millis_testing: 1.092, usercpu_time_millis_training: 38.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -1.6475, 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: 1846.6923, usercpu_time_millis: 63.187, usercpu_time_millis_testing: 6.803, usercpu_time_millis_training: 56.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8589, kappa: 0.6532, kb_relative_information_score: 15129.5101, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8585, predictive_accuracy: 0.8593, prior_entropy: 0.863, recall: 0.8593, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.7303, scimark_benchmark: 1848.388, usercpu_time_millis: 36.493, usercpu_time_millis_testing: 1.081, usercpu_time_millis_training: 35.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.1351, 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: 1803.1717, usercpu_time_millis: 43.133, usercpu_time_millis_testing: 6.214, usercpu_time_millis_training: 36.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -8.2486, 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: 1852.9259, usercpu_time_millis: 23.105, usercpu_time_millis_testing: 2.027, usercpu_time_millis_training: 21.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -8.9108, 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: 1843.8403, usercpu_time_millis: 40.111, usercpu_time_millis_testing: 5.003, usercpu_time_millis_training: 35.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9549, kappa: 0.8886, kb_relative_information_score: 26683.0355, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.955, predictive_accuracy: 0.9552, prior_entropy: 0.863, recall: 0.9552, relative_absolute_error: 0.2474, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.424, scimark_benchmark: 1851.8567, usercpu_time_millis: 72.385, usercpu_time_millis_testing: 2.514, usercpu_time_millis_training: 69.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9414, kappa: 0.8542, kb_relative_information_score: 21874.8187, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9425, predictive_accuracy: 0.9423, prior_entropy: 0.863, recall: 0.9423, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.5271, scimark_benchmark: 1844.7928, usercpu_time_millis: 67.518, usercpu_time_millis_testing: 4.258, usercpu_time_millis_training: 63.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -1.3806, 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: 1853.3841, usercpu_time_millis: 82.356, usercpu_time_millis_testing: 6.542, usercpu_time_millis_training: 75.814,

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