OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9322, kappa: 0.8324, kb_relative_information_score: 23650.393, mean_absolute_error: 0.1372, 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: 0.3363, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.5118, scimark_benchmark: 1680.0782, usercpu_time_millis: 8.168, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 7.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1719.5281, usercpu_time_millis: 3.704, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 3.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9409, kappa: 0.8546, kb_relative_information_score: 26389.8788, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9408, predictive_accuracy: 0.9412, prior_entropy: 0.863, recall: 0.9412, relative_absolute_error: 0.2455, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.463, scimark_benchmark: 1848.1183, usercpu_time_millis: 25.565, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 25.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1843.9187, usercpu_time_millis: 3.333, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 3.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9316, kappa: 0.8308, kb_relative_information_score: 23374.9979, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9316, predictive_accuracy: 0.9322, prior_entropy: 0.863, recall: 0.9322, relative_absolute_error: 0.3461, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.5157, scimark_benchmark: 1839.7313, usercpu_time_millis: 7.305, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 7.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.5954, kb_relative_information_score: 4427.7232, mean_absolute_error: 0.3702, 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: 0.9072, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.9103, scimark_benchmark: 1738.3274, usercpu_time_millis: 3.651, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 3.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1832.5281, usercpu_time_millis: 3.314, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 3.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.7719, kappa: 0.4133, kb_relative_information_score: 10414.186, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8424, predictive_accuracy: 0.8077, prior_entropy: 0.863, recall: 0.8077, relative_absolute_error: 0.7524, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.7778, scimark_benchmark: 1729.8197, usercpu_time_millis: 3.944, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 3.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9418, kappa: 0.8567, kb_relative_information_score: 26523.3885, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9417, predictive_accuracy: 0.942, prior_entropy: 0.863, recall: 0.942, relative_absolute_error: 0.2411, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4598, scimark_benchmark: 1728.8693, usercpu_time_millis: 28.947, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 28.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1729.3908, usercpu_time_millis: 3.239, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 2.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1720.1064, usercpu_time_millis: 3.36, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 3.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.709, kappa: 0.2581, kb_relative_information_score: 8800.398, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8243, predictive_accuracy: 0.7701, prior_entropy: 0.863, recall: 0.7701, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.8148, scimark_benchmark: 1840.3916, usercpu_time_millis: 3.65, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 3.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1746.3078, usercpu_time_millis: 3.379, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 3.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1755.8578, usercpu_time_millis: 3.487, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 3.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1749.4302, usercpu_time_millis: 3.439, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 3.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.934, kappa: 0.8371, kb_relative_information_score: 24340.6404, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9339, predictive_accuracy: 0.9345, prior_entropy: 0.863, recall: 0.9345, relative_absolute_error: 0.3141, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.5001, scimark_benchmark: 1754.3252, usercpu_time_millis: 10.361, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 10.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1842.2399, usercpu_time_millis: 3.232, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 2.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1841.5434, usercpu_time_millis: 3.22, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 2.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9241, kappa: 0.8113, kb_relative_information_score: 21618.2069, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9247, predictive_accuracy: 0.9253, prior_entropy: 0.863, recall: 0.9253, relative_absolute_error: 0.4074, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.547, scimark_benchmark: 1715.1285, usercpu_time_millis: 11.153, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 10.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9225, kappa: 0.8072, kb_relative_information_score: 20049.6017, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9233, predictive_accuracy: 0.9239, prior_entropy: 0.863, recall: 0.9239, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.5751, scimark_benchmark: 1741.7889, usercpu_time_millis: 5.295, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 4.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1799.4493, usercpu_time_millis: 3.243, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 2.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9348, kappa: 0.8392, kb_relative_information_score: 24649.1149, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9347, predictive_accuracy: 0.9353, prior_entropy: 0.863, recall: 0.9353, relative_absolute_error: 0.3037, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.4952, scimark_benchmark: 1798.087, usercpu_time_millis: 11.437, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 11.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.5954, kb_relative_information_score: 1179.7293, mean_absolute_error: 0.3979, 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: 0.9751, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.9754, scimark_benchmark: 1013.0831, usercpu_time_millis: 6.138, usercpu_time_millis_testing: 0.597, usercpu_time_millis_training: 5.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.8778, kappa: 0.6918, kb_relative_information_score: 13945.7845, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8826, predictive_accuracy: 0.8828, prior_entropy: 0.863, recall: 0.8828, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.7025, scimark_benchmark: 1740.7811, usercpu_time_millis: 3.478, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 3.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1783.0373, usercpu_time_millis: 3.208, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 2.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.5954, kb_relative_information_score: 2.1773, 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: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1783.2889, usercpu_time_millis: 3.225, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 2.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9367, kappa: 0.8443, kb_relative_information_score: 24952.9615, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9366, predictive_accuracy: 0.937, prior_entropy: 0.863, recall: 0.937, relative_absolute_error: 0.2938, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.489, scimark_benchmark: 1752.2732, usercpu_time_millis: 14.084, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 13.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1800.9073, usercpu_time_millis: 3.258, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 2.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1042.6682, usercpu_time_millis: 6.083, usercpu_time_millis_testing: 0.614, usercpu_time_millis_training: 5.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1679.1669, usercpu_time_millis: 4.156, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 3.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9432, kappa: 0.8603, kb_relative_information_score: 26991.8476, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9431, predictive_accuracy: 0.9434, prior_entropy: 0.863, recall: 0.9434, relative_absolute_error: 0.2253, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4511, scimark_benchmark: 1728.8693, usercpu_time_millis: 36.582, usercpu_time_millis_testing: 0.341, usercpu_time_millis_training: 36.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.8894, kappa: 0.7219, kb_relative_information_score: 15108.7708, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8932, predictive_accuracy: 0.8933, prior_entropy: 0.863, recall: 0.8933, relative_absolute_error: 0.6158, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3051, root_relative_squared_error: 0.6754, scimark_benchmark: 1766.8836, usercpu_time_millis: 4.315, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 3.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.928, kappa: 0.8215, kb_relative_information_score: 22090.0778, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9283, predictive_accuracy: 0.9289, prior_entropy: 0.863, recall: 0.9289, relative_absolute_error: 0.3898, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.5368, scimark_benchmark: 1727.2167, usercpu_time_millis: 5.849, usercpu_time_millis_testing: 0.316, usercpu_time_millis_training: 5.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9369, kappa: 0.8447, kb_relative_information_score: 24985.749, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9368, predictive_accuracy: 0.9372, prior_entropy: 0.863, recall: 0.9372, relative_absolute_error: 0.2928, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.488, scimark_benchmark: 1771.9151, usercpu_time_millis: 12.342, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 12.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9468, kappa: 0.8694, kb_relative_information_score: 27748.942, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9468, predictive_accuracy: 0.9469, prior_entropy: 0.863, recall: 0.9469, relative_absolute_error: 0.2005, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.4352, scimark_benchmark: 1726.8909, usercpu_time_millis: 81.072, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 80.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9395, kappa: 0.8511, kb_relative_information_score: 26022.356, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9394, predictive_accuracy: 0.9398, prior_entropy: 0.863, recall: 0.9398, relative_absolute_error: 0.2577, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.471, scimark_benchmark: 1789.1014, usercpu_time_millis: 22.164, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 21.861,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1772.4043, usercpu_time_millis: 3.131, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 2.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1843.1261, usercpu_time_millis: 3.229, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 2.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9428, kappa: 0.8594, kb_relative_information_score: 26834.3041, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9427, predictive_accuracy: 0.943, prior_entropy: 0.863, recall: 0.943, relative_absolute_error: 0.2307, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.4535, scimark_benchmark: 1686.9497, usercpu_time_millis: 36.507, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 36.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1725.6479, usercpu_time_millis: 3.302, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 3.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1731.5003, usercpu_time_millis: 3.548, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 3.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1708.079, usercpu_time_millis: 3.403, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 3.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1727.103, usercpu_time_millis: 3.58, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 3.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9407, kappa: 0.8541, kb_relative_information_score: 26268.0309, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9406, predictive_accuracy: 0.941, prior_entropy: 0.863, recall: 0.941, relative_absolute_error: 0.2495, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4656, scimark_benchmark: 1732.9618, usercpu_time_millis: 24.251, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 23.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9385, kappa: 0.8486, kb_relative_information_score: 25674.0474, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9384, predictive_accuracy: 0.9388, prior_entropy: 0.863, recall: 0.9388, relative_absolute_error: 0.2694, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4767, scimark_benchmark: 1854.4282, usercpu_time_millis: 16.338, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 16.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9313, kappa: 0.8298, kb_relative_information_score: 23326.1674, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9314, predictive_accuracy: 0.932, prior_entropy: 0.863, recall: 0.932, relative_absolute_error: 0.3471, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.5168, scimark_benchmark: 1780.4199, usercpu_time_millis: 6.682, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 6.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9405, kappa: 0.8537, kb_relative_information_score: 26130.6719, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9404, predictive_accuracy: 0.9408, prior_entropy: 0.863, recall: 0.9408, relative_absolute_error: 0.2543, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4671, scimark_benchmark: 1787.5047, usercpu_time_millis: 19.696, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 19.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9247, kappa: 0.8129, kb_relative_information_score: 21192.9008, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9255, predictive_accuracy: 0.926, prior_entropy: 0.863, recall: 0.926, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.5543, scimark_benchmark: 2130.2077, usercpu_time_millis: 6.726, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 6.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.944, kappa: 0.8624, kb_relative_information_score: 27232.9832, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9439, predictive_accuracy: 0.9441, prior_entropy: 0.863, recall: 0.9441, relative_absolute_error: 0.2175, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4449, scimark_benchmark: 1724.4096, usercpu_time_millis: 48.382, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 48.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9276, kappa: 0.8206, kb_relative_information_score: 21835.3168, mean_absolute_error: 0.1625, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9278, predictive_accuracy: 0.9285, prior_entropy: 0.863, recall: 0.9285, relative_absolute_error: 0.3982, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.245, root_relative_squared_error: 0.5424, scimark_benchmark: 1837.0722, usercpu_time_millis: 5.73, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 5.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9454, kappa: 0.8659, kb_relative_information_score: 27429.9275, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9453, predictive_accuracy: 0.9455, prior_entropy: 0.863, recall: 0.9455, relative_absolute_error: 0.211, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4417, scimark_benchmark: 1740.0568, usercpu_time_millis: 48.42, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 48.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8527, kappa: 0.6224, kb_relative_information_score: 11947.7559, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8795, predictive_accuracy: 0.8656, prior_entropy: 0.863, recall: 0.8656, relative_absolute_error: 0.7096, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.336, root_relative_squared_error: 0.7438, scimark_benchmark: 1726.6524, usercpu_time_millis: 4.19, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 3.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9433, kappa: 0.8606, kb_relative_information_score: 27019.1759, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9432, predictive_accuracy: 0.9435, prior_entropy: 0.863, recall: 0.9435, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.4509, scimark_benchmark: 1733.8356, usercpu_time_millis: 34.14, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 33.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.935, kappa: 0.8397, kb_relative_information_score: 25021.38, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9349, predictive_accuracy: 0.9355, prior_entropy: 0.863, recall: 0.9355, relative_absolute_error: 0.2908, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4901, scimark_benchmark: 1765.561, usercpu_time_millis: 13.028, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 12.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1742.319, usercpu_time_millis: 3.17, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 2.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.935, kappa: 0.8398, kb_relative_information_score: 23828.9008, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9349, predictive_accuracy: 0.9354, prior_entropy: 0.863, recall: 0.9354, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.229, root_relative_squared_error: 0.507, scimark_benchmark: 1693.4886, usercpu_time_millis: 11.551, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 11.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9459, kappa: 0.8672, kb_relative_information_score: 27541.2992, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9459, predictive_accuracy: 0.946, prior_entropy: 0.863, recall: 0.946, relative_absolute_error: 0.2073, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.4398, scimark_benchmark: 1778.0159, usercpu_time_millis: 56.614, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 56.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9281, kappa: 0.8216, kb_relative_information_score: 22444.9259, mean_absolute_error: 0.1539, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9285, predictive_accuracy: 0.9291, prior_entropy: 0.863, recall: 0.9291, relative_absolute_error: 0.3772, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.5311, scimark_benchmark: 1768.303, usercpu_time_millis: 5.476, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 5.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9425, kappa: 0.8587, kb_relative_information_score: 26750.8354, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9424, predictive_accuracy: 0.9427, prior_entropy: 0.863, recall: 0.9427, relative_absolute_error: 0.2335, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.4551, scimark_benchmark: 1949.4182, usercpu_time_millis: 26.486, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 26.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.938, kappa: 0.8474, kb_relative_information_score: 25427.5638, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9379, predictive_accuracy: 0.9383, prior_entropy: 0.863, recall: 0.9383, relative_absolute_error: 0.2777, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.4811, scimark_benchmark: 1733.299, usercpu_time_millis: 16.044, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 15.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9458, kappa: 0.8668, kb_relative_information_score: 27509.1506, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9457, predictive_accuracy: 0.9459, prior_entropy: 0.863, recall: 0.9459, relative_absolute_error: 0.2083, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4406, scimark_benchmark: 1724.1744, usercpu_time_millis: 58.625, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 58.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9449, kappa: 0.8646, kb_relative_information_score: 27314.3447, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9448, predictive_accuracy: 0.945, prior_entropy: 0.863, recall: 0.945, relative_absolute_error: 0.2149, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4437, scimark_benchmark: 1722.6507, usercpu_time_millis: 43.612, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 43.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9442, kappa: 0.8628, kb_relative_information_score: 27158.9036, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9441, predictive_accuracy: 0.9443, prior_entropy: 0.863, recall: 0.9443, relative_absolute_error: 0.2197, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4483, scimark_benchmark: 1842.1882, usercpu_time_millis: 36.605, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 36.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9435, kappa: 0.8612, kb_relative_information_score: 27054.1892, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9434, predictive_accuracy: 0.9436, prior_entropy: 0.863, recall: 0.9436, relative_absolute_error: 0.2234, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.4486, scimark_benchmark: 1762.5728, usercpu_time_millis: 38.304, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 38.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9451, kappa: 0.8651, kb_relative_information_score: 27306.1249, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.945, predictive_accuracy: 0.9452, prior_entropy: 0.863, recall: 0.9452, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.4445, scimark_benchmark: 1813.8936, usercpu_time_millis: 41.82, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 41.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9458, kappa: 0.867, kb_relative_information_score: 27561.695, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9458, predictive_accuracy: 0.9459, prior_entropy: 0.863, recall: 0.9459, relative_absolute_error: 0.2067, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4386, scimark_benchmark: 1852.0126, usercpu_time_millis: 57.083, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 56.784,

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