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: 0.9884, f_measure: 0.95, kappa: 0.877, kb_relative_information_score: 26739.144, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.95, predictive_accuracy: 0.9503, prior_entropy: 0.863, recall: 0.9503, relative_absolute_error: 0.2387, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.438, scimark_benchmark: 1251.9863, usercpu_time_millis: 5247.571, usercpu_time_millis_testing: 88.813, usercpu_time_millis_training: 5158.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9438, kappa: 0.8608, kb_relative_information_score: 24168.7867, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9444, predictive_accuracy: 0.9446, prior_entropy: 0.863, recall: 0.9446, relative_absolute_error: 0.3307, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.482, scimark_benchmark: 1268.0845, usercpu_time_millis: 877.701, usercpu_time_millis_testing: 45.292, usercpu_time_millis_training: 832.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.934, kappa: 0.8355, kb_relative_information_score: 19878.6413, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9356, predictive_accuracy: 0.9354, prior_entropy: 0.863, recall: 0.9354, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.5708, scimark_benchmark: 1235.8771, usercpu_time_millis: 1145.704, usercpu_time_millis_testing: 78.458, usercpu_time_millis_training: 1067.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9688, kappa: 0.9234, kb_relative_information_score: 29903.2033, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9688, predictive_accuracy: 0.9688, prior_entropy: 0.863, recall: 0.9688, relative_absolute_error: 0.141, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.3427, scimark_benchmark: 1259.3754, usercpu_time_millis: 3783.954, usercpu_time_millis_testing: 47.299, usercpu_time_millis_training: 3736.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9674, kappa: 0.9199, kb_relative_information_score: 29121.2754, mean_absolute_error: 0.0689, 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: 0.1689, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.161, root_relative_squared_error: 0.3565, scimark_benchmark: 1284.8773, usercpu_time_millis: 1286.473, usercpu_time_millis_testing: 51.152, usercpu_time_millis_training: 1235.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9579, kappa: 0.8968, kb_relative_information_score: 28100.8735, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9579, predictive_accuracy: 0.958, prior_entropy: 0.863, recall: 0.958, relative_absolute_error: 0.1954, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.4014, scimark_benchmark: 1321.6871, usercpu_time_millis: 7175.885, usercpu_time_millis_testing: 95.805, usercpu_time_millis_training: 7080.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9503, kappa: 0.8775, kb_relative_information_score: 26757.0076, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9502, predictive_accuracy: 0.9505, prior_entropy: 0.863, recall: 0.9505, relative_absolute_error: 0.2385, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4382, scimark_benchmark: 1231.3731, usercpu_time_millis: 999.76, usercpu_time_millis_testing: 43.599, usercpu_time_millis_training: 956.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9686, kappa: 0.923, kb_relative_information_score: 29746.0679, mean_absolute_error: 0.0598, 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: 0.1466, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.3451, scimark_benchmark: 1292.294, usercpu_time_millis: 1480.505, usercpu_time_millis_testing: 29.712, usercpu_time_millis_training: 1450.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9636, kappa: 0.9106, kb_relative_information_score: 28834.6295, mean_absolute_error: 0.0715, 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: 0.1753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.3727, scimark_benchmark: 1255.128, usercpu_time_millis: 4114.754, usercpu_time_millis_testing: 72.774, usercpu_time_millis_training: 4041.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9621, kappa: 0.9067, kb_relative_information_score: 28081.9856, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.385, scimark_benchmark: 1306.9962, usercpu_time_millis: 1489.801, usercpu_time_millis_testing: 63.699, usercpu_time_millis_training: 1426.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9609, kappa: 0.904, kb_relative_information_score: 28632.6846, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9609, predictive_accuracy: 0.961, prior_entropy: 0.863, recall: 0.961, relative_absolute_error: 0.1797, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.3883, scimark_benchmark: 1248.4872, usercpu_time_millis: 2024.959, usercpu_time_millis_testing: 23.259, usercpu_time_millis_training: 2001.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.959, kappa: 0.8992, kb_relative_information_score: 27768.5185, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.959, predictive_accuracy: 0.9592, prior_entropy: 0.863, recall: 0.9592, relative_absolute_error: 0.211, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.3995, scimark_benchmark: 1263.2262, usercpu_time_millis: 690.414, usercpu_time_millis_testing: 40.143, usercpu_time_millis_training: 650.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9491, kappa: 0.8749, kb_relative_information_score: 26815.2623, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9491, predictive_accuracy: 0.9493, prior_entropy: 0.863, recall: 0.9493, relative_absolute_error: 0.2351, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.44, scimark_benchmark: 1281.108, usercpu_time_millis: 1359.014, usercpu_time_millis_testing: 39.32, usercpu_time_millis_training: 1319.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9676, kappa: 0.9205, kb_relative_information_score: 29552.345, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9676, predictive_accuracy: 0.9676, prior_entropy: 0.863, recall: 0.9676, relative_absolute_error: 0.1527, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.3516, scimark_benchmark: 1310.7782, usercpu_time_millis: 2732.589, usercpu_time_millis_testing: 47.824, usercpu_time_millis_training: 2684.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9587, kappa: 0.8983, kb_relative_information_score: 27380.5799, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9587, predictive_accuracy: 0.9589, prior_entropy: 0.863, recall: 0.9589, relative_absolute_error: 0.2255, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.4046, scimark_benchmark: 1258.6661, usercpu_time_millis: 3123.042, usercpu_time_millis_testing: 109.651, usercpu_time_millis_training: 3013.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9602, kappa: 0.9022, kb_relative_information_score: 28052.654, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3944, scimark_benchmark: 1260.6398, usercpu_time_millis: 1094.47, usercpu_time_millis_testing: 23.324, usercpu_time_millis_training: 1071.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9655, kappa: 0.9152, kb_relative_information_score: 29231.6636, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 0.863, recall: 0.9655, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.364, scimark_benchmark: 1291.477, usercpu_time_millis: 4023.922, usercpu_time_millis_testing: 72.174, usercpu_time_millis_training: 3951.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.968, kappa: 0.9214, kb_relative_information_score: 28822.4309, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3595, scimark_benchmark: 1291.7509, usercpu_time_millis: 1253.544, usercpu_time_millis_testing: 47.092, usercpu_time_millis_training: 1206.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9519, kappa: 0.8817, kb_relative_information_score: 27034.0866, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9518, predictive_accuracy: 0.952, prior_entropy: 0.863, recall: 0.952, relative_absolute_error: 0.2286, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.4321, scimark_benchmark: 1282.6861, usercpu_time_millis: 4175.965, usercpu_time_millis_testing: 86.413, usercpu_time_millis_training: 4089.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9553, kappa: 0.8902, kb_relative_information_score: 27661.7397, mean_absolute_error: 0.0855, 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: 0.2096, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.187, root_relative_squared_error: 0.4139, scimark_benchmark: 1297.408, usercpu_time_millis: 1337.051, usercpu_time_millis_testing: 41.245, usercpu_time_millis_training: 1295.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9041, kappa: 0.7573, kb_relative_information_score: 16615.2062, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9128, predictive_accuracy: 0.9085, prior_entropy: 0.863, recall: 0.9085, relative_absolute_error: 0.5743, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.6417, scimark_benchmark: 1287.8522, usercpu_time_millis: 795.729, usercpu_time_millis_testing: 66.119, usercpu_time_millis_training: 729.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9644, kappa: 0.9126, kb_relative_information_score: 28836.3383, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9645, prior_entropy: 0.863, recall: 0.9645, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.3698, scimark_benchmark: 1265.9229, usercpu_time_millis: 532.878, usercpu_time_millis_testing: 18.173, usercpu_time_millis_training: 514.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9617, kappa: 0.906, kb_relative_information_score: 28596.9255, mean_absolute_error: 0.0744, 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: 0.1822, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3831, scimark_benchmark: 1263.337, usercpu_time_millis: 1187.385, usercpu_time_millis_testing: 38.505, usercpu_time_millis_training: 1148.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9314, kappa: 0.8279, kb_relative_information_score: 19371.1581, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9356, predictive_accuracy: 0.9335, prior_entropy: 0.863, recall: 0.9335, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2602, root_relative_squared_error: 0.5761, scimark_benchmark: 1262.1815, usercpu_time_millis: 650.412, usercpu_time_millis_testing: 45.947, usercpu_time_millis_training: 604.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9499, kappa: 0.8764, kb_relative_information_score: 25961.8526, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.95, predictive_accuracy: 0.9503, prior_entropy: 0.863, recall: 0.9503, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4404, scimark_benchmark: 1304.1755, usercpu_time_millis: 1120.365, usercpu_time_millis_testing: 7.275, usercpu_time_millis_training: 1113.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9685, kappa: 0.9225, kb_relative_information_score: 29229.4514, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9684, predictive_accuracy: 0.9685, prior_entropy: 0.863, recall: 0.9685, relative_absolute_error: 0.1655, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3529, scimark_benchmark: 1238.5767, usercpu_time_millis: 1252.066, usercpu_time_millis_testing: 44.002, usercpu_time_millis_training: 1208.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9627, kappa: 0.9084, kb_relative_information_score: 28725.621, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9628, prior_entropy: 0.863, recall: 0.9628, relative_absolute_error: 0.1778, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.3792, scimark_benchmark: 1291.4974, usercpu_time_millis: 6456.732, usercpu_time_millis_testing: 100.989, usercpu_time_millis_training: 6355.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9551, kappa: 0.8896, kb_relative_information_score: 27113.5664, mean_absolute_error: 0.094, 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: 0.2304, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.4192, scimark_benchmark: 1301.3872, usercpu_time_millis: 4202.397, usercpu_time_millis_testing: 104.881, usercpu_time_millis_training: 4097.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.958, kappa: 0.8965, kb_relative_information_score: 27693.716, mean_absolute_error: 0.087, 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: 0.2131, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.4021, scimark_benchmark: 1262.958, usercpu_time_millis: 190.306, usercpu_time_millis_testing: 12.915, usercpu_time_millis_training: 177.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9633, kappa: 0.9098, kb_relative_information_score: 28828.5993, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9632, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.1751, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.3752, scimark_benchmark: 1291.8823, usercpu_time_millis: 1712.119, usercpu_time_millis_testing: 54.363, usercpu_time_millis_training: 1657.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9702, kappa: 0.9269, kb_relative_information_score: 29873.6449, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9702, predictive_accuracy: 0.9703, prior_entropy: 0.863, recall: 0.9703, relative_absolute_error: 0.1434, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.3375, scimark_benchmark: 1266.5248, usercpu_time_millis: 1296.671, usercpu_time_millis_testing: 34.825, usercpu_time_millis_training: 1261.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9601, kappa: 0.9021, kb_relative_information_score: 28484.3352, mean_absolute_error: 0.0751, 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: 0.1841, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.3892, scimark_benchmark: 1297.2508, usercpu_time_millis: 1792.423, usercpu_time_millis_testing: 27.773, usercpu_time_millis_training: 1764.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9362, kappa: 0.8417, kb_relative_information_score: 24676.2418, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9369, predictive_accuracy: 0.9372, prior_entropy: 0.863, recall: 0.9372, relative_absolute_error: 0.3064, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.4877, scimark_benchmark: 1269.9855, usercpu_time_millis: 562.043, usercpu_time_millis_testing: 31.856, usercpu_time_millis_training: 530.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9586, kappa: 0.898, kb_relative_information_score: 27484.6611, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9586, predictive_accuracy: 0.9588, prior_entropy: 0.863, recall: 0.9588, relative_absolute_error: 0.2209, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.4045, scimark_benchmark: 1315.057, usercpu_time_millis: 3277.47, usercpu_time_millis_testing: 102.812, usercpu_time_millis_training: 3174.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.969, kappa: 0.9239, kb_relative_information_score: 29704.0836, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1479, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.3463, scimark_benchmark: 1236.1555, usercpu_time_millis: 612.557, usercpu_time_millis_testing: 14.416, usercpu_time_millis_training: 598.141,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9377, kappa: 0.8461, kb_relative_information_score: 25796.5795, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9379, predictive_accuracy: 0.9384, prior_entropy: 0.863, recall: 0.9384, relative_absolute_error: 0.2636, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.4736, scimark_benchmark: 1233.3358, usercpu_time_millis: 634.234, usercpu_time_millis_testing: 17.842, usercpu_time_millis_training: 616.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9614, kappa: 0.9053, kb_relative_information_score: 28533.3238, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9614, predictive_accuracy: 0.9615, prior_entropy: 0.863, recall: 0.9615, relative_absolute_error: 0.1842, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3836, scimark_benchmark: 1234.2544, usercpu_time_millis: 545.081, usercpu_time_millis_testing: 13.246, usercpu_time_millis_training: 531.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9402, kappa: 0.8519, kb_relative_information_score: 24918.014, mean_absolute_error: 0.1227, 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: 0.3006, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.4761, scimark_benchmark: 1252.3584, usercpu_time_millis: 456.493, usercpu_time_millis_testing: 21.273, usercpu_time_millis_training: 435.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9321, kappa: 0.831, kb_relative_information_score: 20980.214, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9332, predictive_accuracy: 0.9333, prior_entropy: 0.863, recall: 0.9333, relative_absolute_error: 0.4321, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5501, scimark_benchmark: 1232.5045, usercpu_time_millis: 920.958, usercpu_time_millis_testing: 44.486, usercpu_time_millis_training: 876.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9674, kappa: 0.9201, kb_relative_information_score: 29477.2785, mean_absolute_error: 0.0633, 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: 0.1552, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3534, scimark_benchmark: 1261.1973, usercpu_time_millis: 587.698, usercpu_time_millis_testing: 13.509, usercpu_time_millis_training: 574.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9651, kappa: 0.9143, kb_relative_information_score: 29065.8025, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.1685, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.165, root_relative_squared_error: 0.3654, scimark_benchmark: 1266.4446, usercpu_time_millis: 1022.843, usercpu_time_millis_testing: 26.708, usercpu_time_millis_training: 996.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9462, kappa: 0.8671, kb_relative_information_score: 25991.6994, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9463, predictive_accuracy: 0.9467, prior_entropy: 0.863, recall: 0.9467, relative_absolute_error: 0.2641, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.205, root_relative_squared_error: 0.4539, scimark_benchmark: 1239.0507, usercpu_time_millis: 255.402, usercpu_time_millis_testing: 12.029, usercpu_time_millis_training: 243.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9485, kappa: 0.8723, kb_relative_information_score: 23712.2132, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9492, predictive_accuracy: 0.9492, prior_entropy: 0.863, recall: 0.9492, relative_absolute_error: 0.3507, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.4829, scimark_benchmark: 1234.0715, usercpu_time_millis: 1037.333, usercpu_time_millis_testing: 56.745, usercpu_time_millis_training: 980.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9647, kappa: 0.9134, kb_relative_information_score: 29012.3899, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9648, prior_entropy: 0.863, recall: 0.9648, relative_absolute_error: 0.1694, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.3694, scimark_benchmark: 1237.0588, usercpu_time_millis: 1106.983, usercpu_time_millis_testing: 27.969, usercpu_time_millis_training: 1079.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9216, kappa: 0.8028, kb_relative_information_score: 18349.0423, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9273, predictive_accuracy: 0.9244, prior_entropy: 0.863, recall: 0.9244, relative_absolute_error: 0.5273, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2716, root_relative_squared_error: 0.6013, scimark_benchmark: 1280.0276, usercpu_time_millis: 550.759, usercpu_time_millis_testing: 42.186, usercpu_time_millis_training: 508.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9644, kappa: 0.9125, kb_relative_information_score: 29159.4556, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3668, scimark_benchmark: 1244.5641, usercpu_time_millis: 4996.909, usercpu_time_millis_testing: 58.245, usercpu_time_millis_training: 4938.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.973, kappa: 0.9338, kb_relative_information_score: 31757.8921, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.973, predictive_accuracy: 0.973, prior_entropy: 0.863, recall: 0.973, relative_absolute_error: 0.0752, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.3283, scimark_benchmark: 1288.0519, usercpu_time_millis: 17434.481, usercpu_time_millis_testing: 31.091, usercpu_time_millis_training: 17403.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9441, kappa: 0.8616, kb_relative_information_score: 25408.7612, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9444, predictive_accuracy: 0.9447, prior_entropy: 0.863, recall: 0.9447, relative_absolute_error: 0.286, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.4617, scimark_benchmark: 1253.209, usercpu_time_millis: 1277.204, usercpu_time_millis_testing: 58.949, usercpu_time_millis_training: 1218.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9431, kappa: 0.8592, kb_relative_information_score: 25634.9369, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9434, predictive_accuracy: 0.9437, prior_entropy: 0.863, recall: 0.9437, relative_absolute_error: 0.2754, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.4629, scimark_benchmark: 1254.1124, usercpu_time_millis: 2967.558, usercpu_time_millis_testing: 74.78, usercpu_time_millis_training: 2892.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9246, kappa: 0.8104, kb_relative_information_score: 18719.962, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9296, predictive_accuracy: 0.9271, prior_entropy: 0.863, recall: 0.9271, relative_absolute_error: 0.5153, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.5929, scimark_benchmark: 1259.8422, usercpu_time_millis: 1096.976, usercpu_time_millis_testing: 81.787, usercpu_time_millis_training: 1015.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9592, kappa: 0.8998, kb_relative_information_score: 28097.4101, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9591, predictive_accuracy: 0.9593, prior_entropy: 0.863, recall: 0.9593, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3986, scimark_benchmark: 1278.666, usercpu_time_millis: 952.271, usercpu_time_millis_testing: 27.353, usercpu_time_millis_training: 924.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9552, kappa: 0.8897, kb_relative_information_score: 27216.4789, mean_absolute_error: 0.092, 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: 0.2254, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.4204, scimark_benchmark: 1252.5236, usercpu_time_millis: 263.071, usercpu_time_millis_testing: 6.959, usercpu_time_millis_training: 256.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9223, kappa: 0.8054, kb_relative_information_score: 22589.6789, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9255, predictive_accuracy: 0.9245, prior_entropy: 0.863, recall: 0.9245, relative_absolute_error: 0.3749, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.5301, scimark_benchmark: 1243.4957, usercpu_time_millis: 505.223, usercpu_time_millis_testing: 26.006, usercpu_time_millis_training: 479.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9622, kappa: 0.907, kb_relative_information_score: 28296.5324, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.1944, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3842, scimark_benchmark: 1260.3248, usercpu_time_millis: 545.507, usercpu_time_millis_testing: 24.814, usercpu_time_millis_training: 520.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9403, kappa: 0.8526, kb_relative_information_score: 25982.519, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9404, predictive_accuracy: 0.9409, prior_entropy: 0.863, recall: 0.9409, relative_absolute_error: 0.2588, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.4651, scimark_benchmark: 1242.0057, usercpu_time_millis: 3880.054, usercpu_time_millis_testing: 66.226, usercpu_time_millis_training: 3813.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.8946, kappa: 0.7325, kb_relative_information_score: 15667.3498, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9056, predictive_accuracy: 0.9001, prior_entropy: 0.863, recall: 0.9001, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6626, scimark_benchmark: 1242.8012, usercpu_time_millis: 660.489, usercpu_time_millis_testing: 51.19, usercpu_time_millis_training: 609.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9395, kappa: 0.8504, kb_relative_information_score: 25630.4942, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9397, predictive_accuracy: 0.9401, prior_entropy: 0.863, recall: 0.9401, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4716, scimark_benchmark: 1254.1035, usercpu_time_millis: 1401.784, usercpu_time_millis_testing: 30.237, usercpu_time_millis_training: 1371.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.966, kappa: 0.9163, kb_relative_information_score: 28576.2734, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.9661, prior_entropy: 0.863, recall: 0.9661, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.367, scimark_benchmark: 1240.7192, usercpu_time_millis: 1250.186, usercpu_time_millis_testing: 52.784, usercpu_time_millis_training: 1197.402,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9626, kappa: 0.9082, kb_relative_information_score: 28728.5586, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9626, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.1781, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.3789, scimark_benchmark: 1224.7937, usercpu_time_millis: 579.444, usercpu_time_millis_testing: 18.571, usercpu_time_millis_training: 560.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9655, kappa: 0.9153, kb_relative_information_score: 29238.8764, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9655, predictive_accuracy: 0.9656, prior_entropy: 0.863, recall: 0.9656, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3626, scimark_benchmark: 1265.8355, usercpu_time_millis: 2683.449, usercpu_time_millis_testing: 53.422, usercpu_time_millis_training: 2630.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9525, kappa: 0.883, kb_relative_information_score: 26839.5959, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9524, predictive_accuracy: 0.9527, prior_entropy: 0.863, recall: 0.9527, relative_absolute_error: 0.2373, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.4315, scimark_benchmark: 1260.4462, usercpu_time_millis: 119.746, usercpu_time_millis_testing: 5.381, usercpu_time_millis_training: 114.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9626, kappa: 0.908, kb_relative_information_score: 28546.533, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.1849, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.3803, scimark_benchmark: 1260.0145, usercpu_time_millis: 3431.025, usercpu_time_millis_testing: 77.561, usercpu_time_millis_training: 3353.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9124, kappa: 0.779, kb_relative_information_score: 17614.4514, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9198, predictive_accuracy: 0.9161, prior_entropy: 0.863, recall: 0.9161, relative_absolute_error: 0.5476, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.6189, scimark_benchmark: 1260.3998, usercpu_time_millis: 943.878, usercpu_time_millis_testing: 84.217, usercpu_time_millis_training: 859.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9633, kappa: 0.9099, kb_relative_information_score: 28607.0004, mean_absolute_error: 0.075, 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: 0.1838, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.3759, scimark_benchmark: 1243.3697, usercpu_time_millis: 3327.564, usercpu_time_millis_testing: 79.717, usercpu_time_millis_training: 3247.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9445, kappa: 0.8622, kb_relative_information_score: 22651.4656, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9455, predictive_accuracy: 0.9454, prior_entropy: 0.863, recall: 0.9454, relative_absolute_error: 0.3843, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.5085, scimark_benchmark: 1261.5477, usercpu_time_millis: 1536.058, usercpu_time_millis_testing: 82.323, usercpu_time_millis_training: 1453.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9639, kappa: 0.9114, kb_relative_information_score: 28612.1329, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.3751, scimark_benchmark: 1269.5106, usercpu_time_millis: 977.814, usercpu_time_millis_testing: 45.244, usercpu_time_millis_training: 932.57,

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

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