Task
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: 0.992, f_measure: 0.9595, kappa: 0.9004, kb_relative_information_score: 27747.9835, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9597, prior_entropy: 0.863, recall: 0.9597, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.3998, scimark_benchmark: 1293.5973, usercpu_time_millis: 598.45, usercpu_time_millis_testing: 16.967, usercpu_time_millis_training: 581.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9674, kappa: 0.9201, kb_relative_information_score: 29542.5034, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.3521, scimark_benchmark: 1244.7664, usercpu_time_millis: 1560.806, usercpu_time_millis_testing: 43.439, usercpu_time_millis_training: 1517.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9679, kappa: 0.9212, kb_relative_information_score: 29546.5403, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9679, predictive_accuracy: 0.968, prior_entropy: 0.863, recall: 0.968, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.3505, scimark_benchmark: 1287.001, usercpu_time_millis: 240.036, usercpu_time_millis_testing: 7.601, usercpu_time_millis_training: 232.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9558, kappa: 0.8915, kb_relative_information_score: 27477.5275, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9558, predictive_accuracy: 0.9559, prior_entropy: 0.863, recall: 0.9559, relative_absolute_error: 0.216, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.188, root_relative_squared_error: 0.4163, scimark_benchmark: 1226.0234, usercpu_time_millis: 5273.254, usercpu_time_millis_testing: 99.839, usercpu_time_millis_training: 5173.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9551, kappa: 0.8892, kb_relative_information_score: 26693.3954, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9554, prior_entropy: 0.863, recall: 0.9554, relative_absolute_error: 0.2474, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.191, root_relative_squared_error: 0.4229, scimark_benchmark: 1296.5415, usercpu_time_millis: 2076.287, usercpu_time_millis_testing: 82.188, usercpu_time_millis_training: 1994.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9256, kappa: 0.8141, kb_relative_information_score: 24520.8031, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.928, predictive_accuracy: 0.9275, prior_entropy: 0.863, recall: 0.9275, relative_absolute_error: 0.3048, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.5041, scimark_benchmark: 1241.4815, usercpu_time_millis: 1157.415, usercpu_time_millis_testing: 29.871, usercpu_time_millis_training: 1127.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9455, kappa: 0.8651, kb_relative_information_score: 25357.9548, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9459, predictive_accuracy: 0.9461, prior_entropy: 0.863, recall: 0.9461, relative_absolute_error: 0.2887, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.4602, scimark_benchmark: 1295.8052, usercpu_time_millis: 338.54, usercpu_time_millis_testing: 11.878, usercpu_time_millis_training: 326.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.966, kappa: 0.9165, kb_relative_information_score: 29666.421, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.3588, scimark_benchmark: 1268.1294, usercpu_time_millis: 2197.931, usercpu_time_millis_testing: 8.682, usercpu_time_millis_training: 2189.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9525, kappa: 0.8834, kb_relative_information_score: 27361.3325, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9524, predictive_accuracy: 0.9525, prior_entropy: 0.863, recall: 0.9525, relative_absolute_error: 0.2166, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.429, scimark_benchmark: 1241.5536, usercpu_time_millis: 7496.687, usercpu_time_millis_testing: 90.999, usercpu_time_millis_training: 7405.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9606, kappa: 0.9031, kb_relative_information_score: 28270.9276, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9605, predictive_accuracy: 0.9607, prior_entropy: 0.863, recall: 0.9607, relative_absolute_error: 0.1931, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3905, scimark_benchmark: 1237.9405, usercpu_time_millis: 1324.054, usercpu_time_millis_testing: 52.942, usercpu_time_millis_training: 1271.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9682, kappa: 0.922, kb_relative_information_score: 29520.8056, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9682, predictive_accuracy: 0.9683, prior_entropy: 0.863, recall: 0.9683, relative_absolute_error: 0.1545, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.3496, scimark_benchmark: 1275.4705, usercpu_time_millis: 285.515, usercpu_time_millis_testing: 11.844, usercpu_time_millis_training: 273.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.95, kappa: 0.877, kb_relative_information_score: 26845.518, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9499, predictive_accuracy: 0.9502, prior_entropy: 0.863, recall: 0.9502, relative_absolute_error: 0.2346, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4381, scimark_benchmark: 1296.2262, usercpu_time_millis: 1767.739, usercpu_time_millis_testing: 54.4, usercpu_time_millis_training: 1713.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9407, kappa: 0.8536, kb_relative_information_score: 25971.6419, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9408, predictive_accuracy: 0.9413, prior_entropy: 0.863, recall: 0.9413, relative_absolute_error: 0.2595, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.4641, scimark_benchmark: 1250.2254, usercpu_time_millis: 4355.543, usercpu_time_millis_testing: 69.021, usercpu_time_millis_training: 4286.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.944, kappa: 0.8609, kb_relative_information_score: 22753.9289, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9449, predictive_accuracy: 0.9449, prior_entropy: 0.863, recall: 0.9449, relative_absolute_error: 0.3807, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.5063, scimark_benchmark: 1297.0337, usercpu_time_millis: 853.97, usercpu_time_millis_testing: 62.456, usercpu_time_millis_training: 791.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9349, kappa: 0.8384, kb_relative_information_score: 25047.2495, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9353, predictive_accuracy: 0.9357, prior_entropy: 0.863, recall: 0.9357, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.4885, scimark_benchmark: 1223.7891, usercpu_time_millis: 917.319, usercpu_time_millis_testing: 14.067, usercpu_time_millis_training: 903.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9484, kappa: 0.8733, kb_relative_information_score: 26885.4797, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9483, predictive_accuracy: 0.9485, prior_entropy: 0.863, recall: 0.9485, relative_absolute_error: 0.2309, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.4429, scimark_benchmark: 1223.3027, usercpu_time_millis: 633.976, usercpu_time_millis_testing: 11.023, usercpu_time_millis_training: 622.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9559, kappa: 0.8914, kb_relative_information_score: 27126.1403, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9559, predictive_accuracy: 0.9562, prior_entropy: 0.863, recall: 0.9562, relative_absolute_error: 0.2322, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.4149, scimark_benchmark: 1294.8406, usercpu_time_millis: 703.013, usercpu_time_millis_testing: 36.713, usercpu_time_millis_training: 666.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9617, kappa: 0.9058, kb_relative_information_score: 28423.1119, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.1885, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.3856, scimark_benchmark: 1293.6511, usercpu_time_millis: 1609.228, usercpu_time_millis_testing: 71.208, usercpu_time_millis_training: 1538.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9512, kappa: 0.8797, kb_relative_information_score: 26613.4127, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9512, predictive_accuracy: 0.9515, prior_entropy: 0.863, recall: 0.9515, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4355, scimark_benchmark: 1225.0603, usercpu_time_millis: 1967.884, usercpu_time_millis_testing: 99.541, usercpu_time_millis_training: 1868.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9503, kappa: 0.8773, kb_relative_information_score: 26426.1276, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9503, predictive_accuracy: 0.9506, prior_entropy: 0.863, recall: 0.9506, relative_absolute_error: 0.2513, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4403, scimark_benchmark: 1233.7808, usercpu_time_millis: 1700.38, usercpu_time_millis_testing: 53.698, usercpu_time_millis_training: 1646.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9633, kappa: 0.9099, kb_relative_information_score: 28832.2087, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.1749, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.3753, scimark_benchmark: 1229.8302, usercpu_time_millis: 1695.316, usercpu_time_millis_testing: 41.667, usercpu_time_millis_training: 1653.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9601, kappa: 0.9021, kb_relative_information_score: 28423.6069, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.1859, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.3911, scimark_benchmark: 1250.987, usercpu_time_millis: 8314.26, usercpu_time_millis_testing: 107.929, usercpu_time_millis_training: 8206.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9685, kappa: 0.9228, kb_relative_information_score: 29645.0491, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 0.863, recall: 0.9686, relative_absolute_error: 0.1499, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3482, scimark_benchmark: 1239.8175, usercpu_time_millis: 734.744, usercpu_time_millis_testing: 14.632, usercpu_time_millis_training: 720.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9585, kappa: 0.898, kb_relative_information_score: 27656.5223, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9587, prior_entropy: 0.863, recall: 0.9587, relative_absolute_error: 0.2133, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.4043, scimark_benchmark: 1291.3794, usercpu_time_millis: 1961.547, usercpu_time_millis_testing: 64.517, usercpu_time_millis_training: 1897.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9687, kappa: 0.9231, kb_relative_information_score: 29624.2887, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9686, predictive_accuracy: 0.9687, prior_entropy: 0.863, recall: 0.9687, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.3467, scimark_benchmark: 1233.3998, usercpu_time_millis: 1022.76, usercpu_time_millis_testing: 21.631, usercpu_time_millis_training: 1001.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9427, kappa: 0.8578, kb_relative_information_score: 24420.778, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9432, predictive_accuracy: 0.9434, prior_entropy: 0.863, recall: 0.9434, relative_absolute_error: 0.321, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.4791, scimark_benchmark: 1294.8402, usercpu_time_millis: 818.603, usercpu_time_millis_testing: 35.184, usercpu_time_millis_training: 783.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9347, kappa: 0.8383, kb_relative_information_score: 25321.8022, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9351, predictive_accuracy: 0.9356, prior_entropy: 0.863, recall: 0.9356, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.4873, scimark_benchmark: 1249.5489, usercpu_time_millis: 2183.125, usercpu_time_millis_testing: 48.648, usercpu_time_millis_training: 2134.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9628, kappa: 0.9083, kb_relative_information_score: 27617.992, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.963, prior_entropy: 0.863, recall: 0.963, relative_absolute_error: 0.2218, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.3887, scimark_benchmark: 1212.7055, usercpu_time_millis: 1048.759, usercpu_time_millis_testing: 64.098, usercpu_time_millis_training: 984.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9579, kappa: 0.8965, kb_relative_information_score: 27538.4798, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9579, predictive_accuracy: 0.9581, prior_entropy: 0.863, recall: 0.9581, relative_absolute_error: 0.2169, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.184, root_relative_squared_error: 0.4074, scimark_benchmark: 1222.8891, usercpu_time_millis: 3137.938, usercpu_time_millis_testing: 74.91, usercpu_time_millis_training: 3063.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9678, kappa: 0.9211, kb_relative_information_score: 29704.8583, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9678, predictive_accuracy: 0.9679, prior_entropy: 0.863, recall: 0.9679, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.158, root_relative_squared_error: 0.3497, scimark_benchmark: 1220.012, usercpu_time_millis: 4532.738, usercpu_time_millis_testing: 40.041, usercpu_time_millis_training: 4492.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9112, kappa: 0.7757, kb_relative_information_score: 17548.523, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9187, predictive_accuracy: 0.9149, prior_entropy: 0.863, recall: 0.9149, relative_absolute_error: 0.5495, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.6205, scimark_benchmark: 1293.9463, usercpu_time_millis: 620.643, usercpu_time_millis_testing: 53.514, usercpu_time_millis_training: 567.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9433, kappa: 0.8602, kb_relative_information_score: 26217.9386, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9432, predictive_accuracy: 0.9436, prior_entropy: 0.863, recall: 0.9436, relative_absolute_error: 0.2517, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4586, scimark_benchmark: 1294.9172, usercpu_time_millis: 1918.303, usercpu_time_millis_testing: 26.422, usercpu_time_millis_training: 1891.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9601, kappa: 0.9019, kb_relative_information_score: 28412.0985, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.96, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.1871, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.3903, scimark_benchmark: 1291.8533, usercpu_time_millis: 2893.725, usercpu_time_millis_testing: 76.791, usercpu_time_millis_training: 2816.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9649, kappa: 0.9139, kb_relative_information_score: 29153.544, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.1647, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3664, scimark_benchmark: 1220.4316, usercpu_time_millis: 1240.676, usercpu_time_millis_testing: 29.104, usercpu_time_millis_training: 1211.572,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9324, kappa: 0.8305, kb_relative_information_score: 19406.0601, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9365, predictive_accuracy: 0.9344, prior_entropy: 0.863, recall: 0.9344, relative_absolute_error: 0.4971, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.5752, scimark_benchmark: 1267.5505, usercpu_time_millis: 748.094, usercpu_time_millis_testing: 54.225, usercpu_time_millis_training: 693.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.941, kappa: 0.8537, kb_relative_information_score: 24176.5936, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9414, predictive_accuracy: 0.9417, prior_entropy: 0.863, recall: 0.9417, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.4854, scimark_benchmark: 1265.0458, usercpu_time_millis: 120.03, usercpu_time_millis_testing: 8.097, usercpu_time_millis_training: 111.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9552, kappa: 0.8899, kb_relative_information_score: 27544.3702, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9551, predictive_accuracy: 0.9553, prior_entropy: 0.863, recall: 0.9553, relative_absolute_error: 0.2134, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.417, scimark_benchmark: 1239.9385, usercpu_time_millis: 447.732, usercpu_time_millis_testing: 16.896, usercpu_time_millis_training: 430.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9601, kappa: 0.9019, kb_relative_information_score: 28248.5298, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.96, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.193, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.392, scimark_benchmark: 1240.6079, usercpu_time_millis: 242.674, usercpu_time_millis_testing: 6.602, usercpu_time_millis_training: 236.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9576, kappa: 0.896, kb_relative_information_score: 28002.5714, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9576, predictive_accuracy: 0.9577, prior_entropy: 0.863, recall: 0.9577, relative_absolute_error: 0.1983, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.4046, scimark_benchmark: 1226.2719, usercpu_time_millis: 5363.593, usercpu_time_millis_testing: 73.416, usercpu_time_millis_training: 5290.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9596, kappa: 0.9009, kb_relative_information_score: 28443.5439, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9596, predictive_accuracy: 0.9597, prior_entropy: 0.863, recall: 0.9597, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.3931, scimark_benchmark: 1243.7568, usercpu_time_millis: 5414.522, usercpu_time_millis_testing: 104.538, usercpu_time_millis_training: 5309.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.964, kappa: 0.9116, kb_relative_information_score: 28577.1399, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.3734, scimark_benchmark: 1268.4683, usercpu_time_millis: 1822.527, usercpu_time_millis_testing: 64.42, usercpu_time_millis_training: 1758.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9692, kappa: 0.9245, kb_relative_information_score: 29763.1231, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9692, predictive_accuracy: 0.9693, prior_entropy: 0.863, recall: 0.9693, relative_absolute_error: 0.1463, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.3435, scimark_benchmark: 1223.1398, usercpu_time_millis: 2178.979, usercpu_time_millis_testing: 49.148, usercpu_time_millis_training: 2129.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.966, kappa: 0.9165, kb_relative_information_score: 29382.1847, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3612, scimark_benchmark: 1243.7989, usercpu_time_millis: 2702.445, usercpu_time_millis_testing: 37.829, usercpu_time_millis_training: 2664.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9259, kappa: 0.8153, kb_relative_information_score: 21799.5408, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9275, predictive_accuracy: 0.9275, prior_entropy: 0.863, recall: 0.9275, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.5398, scimark_benchmark: 1294.2726, usercpu_time_millis: 604.156, usercpu_time_millis_testing: 29.395, usercpu_time_millis_training: 574.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9284, kappa: 0.8203, kb_relative_information_score: 19027.4382, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9329, predictive_accuracy: 0.9307, prior_entropy: 0.863, recall: 0.9307, relative_absolute_error: 0.5079, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.5847, scimark_benchmark: 1272.6143, usercpu_time_millis: 964.858, usercpu_time_millis_testing: 76.338, usercpu_time_millis_training: 888.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9638, kappa: 0.9112, kb_relative_information_score: 28954.6612, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.9639, prior_entropy: 0.863, recall: 0.9639, relative_absolute_error: 0.1701, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.3739, scimark_benchmark: 1221.5807, usercpu_time_millis: 5046.118, usercpu_time_millis_testing: 58.604, usercpu_time_millis_training: 4987.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9451, kappa: 0.8646, kb_relative_information_score: 26344.7945, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.945, predictive_accuracy: 0.9454, prior_entropy: 0.863, recall: 0.9454, relative_absolute_error: 0.2497, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4526, scimark_benchmark: 1294.8694, usercpu_time_millis: 359.065, usercpu_time_millis_testing: 14.466, usercpu_time_millis_training: 344.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9554, kappa: 0.8896, kb_relative_information_score: 25293.6074, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9558, predictive_accuracy: 0.9559, prior_entropy: 0.863, recall: 0.9559, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4415, scimark_benchmark: 1270.1393, usercpu_time_millis: 915.37, usercpu_time_millis_testing: 59.019, usercpu_time_millis_training: 856.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9021, kappa: 0.7559, kb_relative_information_score: 19440.7833, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.903, predictive_accuracy: 0.9041, prior_entropy: 0.863, recall: 0.9041, relative_absolute_error: 0.4663, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.268, root_relative_squared_error: 0.5933, scimark_benchmark: 1231.5342, usercpu_time_millis: 896.255, usercpu_time_millis_testing: 38.549, usercpu_time_millis_training: 857.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9289, kappa: 0.8228, kb_relative_information_score: 24467.8605, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9303, predictive_accuracy: 0.9303, prior_entropy: 0.863, recall: 0.9303, relative_absolute_error: 0.3086, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.5013, scimark_benchmark: 1283.1542, usercpu_time_millis: 1833.569, usercpu_time_millis_testing: 47.911, usercpu_time_millis_training: 1785.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9671, kappa: 0.9193, kb_relative_information_score: 29406.7803, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.3544, scimark_benchmark: 1298.8452, usercpu_time_millis: 3471.304, usercpu_time_millis_testing: 74.978, usercpu_time_millis_training: 3396.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9473, kappa: 0.8702, kb_relative_information_score: 26510.1605, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9473, predictive_accuracy: 0.9477, prior_entropy: 0.863, recall: 0.9477, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.4476, scimark_benchmark: 1293.8171, usercpu_time_millis: 1095.084, usercpu_time_millis_testing: 47.589, usercpu_time_millis_training: 1047.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9641, kappa: 0.9118, kb_relative_information_score: 28791.1782, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9641, predictive_accuracy: 0.9642, prior_entropy: 0.863, recall: 0.9642, relative_absolute_error: 0.1775, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3724, scimark_benchmark: 1271.691, usercpu_time_millis: 2263.576, usercpu_time_millis_testing: 76.357, usercpu_time_millis_training: 2187.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9389, kappa: 0.8486, kb_relative_information_score: 24996.4183, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9393, predictive_accuracy: 0.9397, prior_entropy: 0.863, recall: 0.9397, relative_absolute_error: 0.2965, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.4783, scimark_benchmark: 1269.6667, usercpu_time_millis: 717.769, usercpu_time_millis_testing: 43.625, usercpu_time_millis_training: 674.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9323, kappa: 0.8314, kb_relative_information_score: 20013.2905, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9335, predictive_accuracy: 0.9336, prior_entropy: 0.863, recall: 0.9336, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.5694, scimark_benchmark: 1225.9333, usercpu_time_millis: 1103.84, usercpu_time_millis_testing: 60.569, usercpu_time_millis_training: 1043.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9201, kappa: 0.8005, kb_relative_information_score: 19309.9199, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9217, predictive_accuracy: 0.9219, prior_entropy: 0.863, recall: 0.9219, relative_absolute_error: 0.4784, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.266, root_relative_squared_error: 0.5889, scimark_benchmark: 1236.8347, usercpu_time_millis: 1175.756, usercpu_time_millis_testing: 56.787, usercpu_time_millis_training: 1118.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9416, kappa: 0.8558, kb_relative_information_score: 26072.6816, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9417, predictive_accuracy: 0.9421, prior_entropy: 0.863, recall: 0.9421, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.4625, scimark_benchmark: 1238.5958, usercpu_time_millis: 1984.864, usercpu_time_millis_testing: 46.686, usercpu_time_millis_training: 1938.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.961, kappa: 0.904, kb_relative_information_score: 27656.9396, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9612, prior_entropy: 0.863, recall: 0.9612, relative_absolute_error: 0.2182, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3938, scimark_benchmark: 1265.8827, usercpu_time_millis: 1405.03, usercpu_time_millis_testing: 62.568, usercpu_time_millis_training: 1342.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9632, kappa: 0.9095, kb_relative_information_score: 28549.8842, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9633, prior_entropy: 0.863, recall: 0.9633, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.171, root_relative_squared_error: 0.3786, scimark_benchmark: 1278.6922, usercpu_time_millis: 831.449, usercpu_time_millis_testing: 37.654, usercpu_time_millis_training: 793.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9598, kappa: 0.9012, kb_relative_information_score: 28258.573, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9598, predictive_accuracy: 0.9599, prior_entropy: 0.863, recall: 0.9599, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.3945, scimark_benchmark: 1269.9141, usercpu_time_millis: 71.734, usercpu_time_millis_testing: 3.984, usercpu_time_millis_training: 67.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9617, kappa: 0.9061, kb_relative_information_score: 28788.2179, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.1749, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.3821, scimark_benchmark: 1268.8731, usercpu_time_millis: 101.092, usercpu_time_millis_testing: 4.473, usercpu_time_millis_training: 96.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9472, kappa: 0.8703, kb_relative_information_score: 26804.5582, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9471, predictive_accuracy: 0.9474, prior_entropy: 0.863, recall: 0.9474, relative_absolute_error: 0.2333, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4447, scimark_benchmark: 1230.8758, usercpu_time_millis: 7384.469, usercpu_time_millis_testing: 97.643, usercpu_time_millis_training: 7286.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9598, kappa: 0.9012, kb_relative_information_score: 28264.8264, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9598, predictive_accuracy: 0.9599, prior_entropy: 0.863, recall: 0.9599, relative_absolute_error: 0.1928, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.3922, scimark_benchmark: 1279.5506, usercpu_time_millis: 1012.166, usercpu_time_millis_testing: 43.012, usercpu_time_millis_training: 969.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9565, kappa: 0.8927, kb_relative_information_score: 27156.4068, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9565, predictive_accuracy: 0.9567, prior_entropy: 0.863, recall: 0.9567, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.4134, scimark_benchmark: 1253.9524, usercpu_time_millis: 2963.879, usercpu_time_millis_testing: 93.024, usercpu_time_millis_training: 2870.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9676, kappa: 0.9204, kb_relative_information_score: 29483.3914, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9676, prior_entropy: 0.863, recall: 0.9676, relative_absolute_error: 0.1552, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3528, scimark_benchmark: 1267.2391, usercpu_time_millis: 1397.334, usercpu_time_millis_testing: 27.189, usercpu_time_millis_training: 1370.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9634, kappa: 0.9102, kb_relative_information_score: 28891.594, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9634, predictive_accuracy: 0.9635, prior_entropy: 0.863, recall: 0.9635, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.3758, scimark_benchmark: 1253.734, usercpu_time_millis: 3739.063, usercpu_time_millis_testing: 55.558, usercpu_time_millis_training: 3683.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9652, kappa: 0.9146, kb_relative_information_score: 29372.5188, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9652, predictive_accuracy: 0.9653, prior_entropy: 0.863, recall: 0.9653, relative_absolute_error: 0.1564, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.3671, scimark_benchmark: 1271.3094, usercpu_time_millis: 10304.162, usercpu_time_millis_testing: 48.759, usercpu_time_millis_training: 10255.403,

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