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: 0.9927, f_measure: 0.9611, kappa: 0.9044, kb_relative_information_score: 28174.7942, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.3876, scimark_benchmark: 1266.8164, usercpu_time_millis: 1728.43, usercpu_time_millis_testing: 85.586, usercpu_time_millis_training: 1642.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.942, kappa: 0.8563, kb_relative_information_score: 23719.1246, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9425, predictive_accuracy: 0.9428, prior_entropy: 0.863, recall: 0.9428, relative_absolute_error: 0.3449, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.4923, scimark_benchmark: 1272.0772, usercpu_time_millis: 317.45, usercpu_time_millis_testing: 26.083, usercpu_time_millis_training: 291.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9434, kappa: 0.86, kb_relative_information_score: 25470.5486, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9437, predictive_accuracy: 0.944, prior_entropy: 0.863, recall: 0.944, relative_absolute_error: 0.2827, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4627, scimark_benchmark: 1272.8982, usercpu_time_millis: 2040.343, usercpu_time_millis_testing: 90.304, usercpu_time_millis_training: 1950.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9125, kappa: 0.7792, kb_relative_information_score: 17611.7839, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9194, predictive_accuracy: 0.916, prior_entropy: 0.863, recall: 0.916, relative_absolute_error: 0.5465, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.6193, scimark_benchmark: 1273.4422, usercpu_time_millis: 372.08, usercpu_time_millis_testing: 31.719, usercpu_time_millis_training: 340.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9166, kappa: 0.7902, kb_relative_information_score: 23506.4747, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9213, predictive_accuracy: 0.9194, prior_entropy: 0.863, recall: 0.9194, relative_absolute_error: 0.3417, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.5236, scimark_benchmark: 1258.4328, usercpu_time_millis: 783.845, usercpu_time_millis_testing: 15.426, usercpu_time_millis_training: 768.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9146, kappa: 0.7847, kb_relative_information_score: 17755.2661, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9213, predictive_accuracy: 0.918, prior_entropy: 0.863, recall: 0.918, relative_absolute_error: 0.5423, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.6159, scimark_benchmark: 1271.7925, usercpu_time_millis: 355.906, usercpu_time_millis_testing: 27.808, usercpu_time_millis_training: 328.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9615, kappa: 0.9054, kb_relative_information_score: 28348.2755, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9615, predictive_accuracy: 0.9616, prior_entropy: 0.863, recall: 0.9616, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.3859, scimark_benchmark: 1273.8841, usercpu_time_millis: 698.387, usercpu_time_millis_testing: 21.986, usercpu_time_millis_training: 676.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9273, kappa: 0.819, kb_relative_information_score: 20818.2049, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9285, predictive_accuracy: 0.9287, prior_entropy: 0.863, recall: 0.9287, relative_absolute_error: 0.4344, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2512, root_relative_squared_error: 0.5561, scimark_benchmark: 1260.7929, usercpu_time_millis: 1323.726, usercpu_time_millis_testing: 64.344, usercpu_time_millis_training: 1259.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9702, kappa: 0.9267, kb_relative_information_score: 29394.8248, mean_absolute_error: 0.066, 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: 0.1617, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.155, root_relative_squared_error: 0.343, scimark_benchmark: 1277.2452, usercpu_time_millis: 839.421, usercpu_time_millis_testing: 31.591, usercpu_time_millis_training: 807.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9273, kappa: 0.8174, kb_relative_information_score: 18896.4418, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9322, predictive_accuracy: 0.9297, prior_entropy: 0.863, recall: 0.9297, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.5879, scimark_benchmark: 1272.4566, usercpu_time_millis: 1103.726, usercpu_time_millis_testing: 83.667, usercpu_time_millis_training: 1020.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9479, kappa: 0.8708, kb_relative_information_score: 23618.7312, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9486, predictive_accuracy: 0.9486, prior_entropy: 0.863, recall: 0.9486, relative_absolute_error: 0.3535, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4855, scimark_benchmark: 1271.175, usercpu_time_millis: 992.04, usercpu_time_millis_testing: 58.446, usercpu_time_millis_training: 933.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9543, kappa: 0.8872, kb_relative_information_score: 26564.3557, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9544, predictive_accuracy: 0.9547, prior_entropy: 0.863, recall: 0.9547, relative_absolute_error: 0.2514, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.4265, scimark_benchmark: 1276.3087, usercpu_time_millis: 1944.24, usercpu_time_millis_testing: 90.725, usercpu_time_millis_training: 1853.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9377, kappa: 0.8454, kb_relative_information_score: 23576.3177, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9384, predictive_accuracy: 0.9387, prior_entropy: 0.863, recall: 0.9387, relative_absolute_error: 0.3472, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.226, root_relative_squared_error: 0.5004, scimark_benchmark: 1267.7263, usercpu_time_millis: 1347.614, usercpu_time_millis_testing: 58.849, usercpu_time_millis_training: 1288.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9246, kappa: 0.8112, kb_relative_information_score: 24488.9158, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9273, predictive_accuracy: 0.9265, prior_entropy: 0.863, recall: 0.9265, relative_absolute_error: 0.3053, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.5051, scimark_benchmark: 1262.6051, usercpu_time_millis: 3290.149, usercpu_time_millis_testing: 36.286, usercpu_time_millis_training: 3253.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.8985, kappa: 0.743, kb_relative_information_score: 16033.0787, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9083, predictive_accuracy: 0.9036, prior_entropy: 0.863, recall: 0.9036, relative_absolute_error: 0.5903, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.6545, scimark_benchmark: 1253.427, usercpu_time_millis: 791.964, usercpu_time_millis_testing: 57.749, usercpu_time_millis_training: 734.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9606, kappa: 0.9033, kb_relative_information_score: 28394.5493, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9606, predictive_accuracy: 0.9607, prior_entropy: 0.863, recall: 0.9607, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.3884, scimark_benchmark: 1229.6365, usercpu_time_millis: 1978.088, usercpu_time_millis_testing: 42.355, usercpu_time_millis_training: 1935.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9273, kappa: 0.8173, kb_relative_information_score: 18867.5425, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9323, predictive_accuracy: 0.9297, prior_entropy: 0.863, recall: 0.9297, relative_absolute_error: 0.5134, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.5883, scimark_benchmark: 1257.1872, usercpu_time_millis: 760.892, usercpu_time_millis_testing: 56.028, usercpu_time_millis_training: 704.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9383, kappa: 0.8476, kb_relative_information_score: 25914.7721, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9384, predictive_accuracy: 0.9389, prior_entropy: 0.863, recall: 0.9389, relative_absolute_error: 0.2588, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4715, scimark_benchmark: 1260.5181, usercpu_time_millis: 3909.527, usercpu_time_millis_testing: 42.283, usercpu_time_millis_training: 3867.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9575, kappa: 0.8956, kb_relative_information_score: 27717.7253, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9575, predictive_accuracy: 0.9577, prior_entropy: 0.863, recall: 0.9577, relative_absolute_error: 0.2101, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.4068, scimark_benchmark: 1252.8766, usercpu_time_millis: 698.45, usercpu_time_millis_testing: 35.219, usercpu_time_millis_training: 663.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9539, kappa: 0.8868, kb_relative_information_score: 27543.8496, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9538, predictive_accuracy: 0.9539, prior_entropy: 0.863, recall: 0.9539, relative_absolute_error: 0.2111, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.4226, scimark_benchmark: 1268.5058, usercpu_time_millis: 10282.186, usercpu_time_millis_testing: 100.422, usercpu_time_millis_training: 10181.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9618, kappa: 0.9061, kb_relative_information_score: 28709.0847, mean_absolute_error: 0.0724, 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: 0.1774, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.3821, scimark_benchmark: 1263.1649, usercpu_time_millis: 5111.099, usercpu_time_millis_testing: 76.51, usercpu_time_millis_training: 5034.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9298, kappa: 0.8239, kb_relative_information_score: 19276.505, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9341, predictive_accuracy: 0.932, prior_entropy: 0.863, recall: 0.932, relative_absolute_error: 0.5003, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.579, scimark_benchmark: 1274.365, usercpu_time_millis: 137.393, usercpu_time_millis_testing: 10.621, usercpu_time_millis_training: 126.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9531, kappa: 0.8842, kb_relative_information_score: 26329.8216, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9532, predictive_accuracy: 0.9535, prior_entropy: 0.863, recall: 0.9535, relative_absolute_error: 0.2589, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.4329, scimark_benchmark: 1261.5938, usercpu_time_millis: 539.632, usercpu_time_millis_testing: 27.387, usercpu_time_millis_training: 512.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9509, kappa: 0.8788, kb_relative_information_score: 26117.127, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.951, predictive_accuracy: 0.9513, prior_entropy: 0.863, recall: 0.9513, relative_absolute_error: 0.2645, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4413, scimark_benchmark: 1261.6258, usercpu_time_millis: 350.485, usercpu_time_millis_testing: 18.849, usercpu_time_millis_training: 331.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9631, kappa: 0.9094, kb_relative_information_score: 28858.8699, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.963, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.1732, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.3783, scimark_benchmark: 1248.3522, usercpu_time_millis: 2695.393, usercpu_time_millis_testing: 52.898, usercpu_time_millis_training: 2642.495,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9277, kappa: 0.8184, kb_relative_information_score: 18937.5526, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9326, predictive_accuracy: 0.9301, prior_entropy: 0.863, recall: 0.9301, relative_absolute_error: 0.5113, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.265, root_relative_squared_error: 0.5867, scimark_benchmark: 1273.1447, usercpu_time_millis: 1387.427, usercpu_time_millis_testing: 104.139, usercpu_time_millis_training: 1283.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.957, kappa: 0.8936, kb_relative_information_score: 25597.7497, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9573, predictive_accuracy: 0.9574, prior_entropy: 0.863, recall: 0.9574, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.4332, scimark_benchmark: 1277.0805, usercpu_time_millis: 481.898, usercpu_time_millis_testing: 33.25, usercpu_time_millis_training: 448.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9416, kappa: 0.8552, kb_relative_information_score: 24203.7585, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9421, predictive_accuracy: 0.9423, prior_entropy: 0.863, recall: 0.9423, relative_absolute_error: 0.3262, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.486, scimark_benchmark: 1259.7696, usercpu_time_millis: 62.055, usercpu_time_millis_testing: 3.78, usercpu_time_millis_training: 58.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9215, kappa: 0.8024, kb_relative_information_score: 18337.6858, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.927, predictive_accuracy: 0.9243, prior_entropy: 0.863, recall: 0.9243, relative_absolute_error: 0.5269, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.6018, scimark_benchmark: 1276.1764, usercpu_time_millis: 787.506, usercpu_time_millis_testing: 53.032, usercpu_time_millis_training: 734.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9446, kappa: 0.8624, kb_relative_information_score: 22898.4716, mean_absolute_error: 0.1536, 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: 0.3763, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.5027, scimark_benchmark: 1280.1914, usercpu_time_millis: 1228.514, usercpu_time_millis_testing: 105.416, usercpu_time_millis_training: 1123.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9254, kappa: 0.8126, kb_relative_information_score: 18755.4311, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9303, predictive_accuracy: 0.9279, prior_entropy: 0.863, recall: 0.9279, relative_absolute_error: 0.515, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.5917, scimark_benchmark: 1278.5186, usercpu_time_millis: 1184.46, usercpu_time_millis_testing: 88.699, usercpu_time_millis_training: 1095.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9274, kappa: 0.8177, kb_relative_information_score: 18994.5017, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.932, predictive_accuracy: 0.9298, prior_entropy: 0.863, recall: 0.9298, relative_absolute_error: 0.5089, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.5857, scimark_benchmark: 1269.1534, usercpu_time_millis: 1125.127, usercpu_time_millis_testing: 82.771, usercpu_time_millis_training: 1042.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9354, kappa: 0.84, kb_relative_information_score: 25402.0453, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9356, predictive_accuracy: 0.9361, prior_entropy: 0.863, recall: 0.9361, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.219, root_relative_squared_error: 0.4848, scimark_benchmark: 1249.2306, usercpu_time_millis: 4548.89, usercpu_time_millis_testing: 59.797, usercpu_time_millis_training: 4489.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9559, kappa: 0.8914, kb_relative_information_score: 27214.8134, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9558, predictive_accuracy: 0.9561, prior_entropy: 0.863, recall: 0.9561, relative_absolute_error: 0.2271, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.4166, scimark_benchmark: 1246.0382, usercpu_time_millis: 840.299, usercpu_time_millis_testing: 23.303, usercpu_time_millis_training: 816.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9273, kappa: 0.8174, kb_relative_information_score: 18935.0795, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.932, predictive_accuracy: 0.9297, prior_entropy: 0.863, recall: 0.9297, relative_absolute_error: 0.5112, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.5869, scimark_benchmark: 1277.2439, usercpu_time_millis: 359.281, usercpu_time_millis_testing: 24.485, usercpu_time_millis_training: 334.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9462, kappa: 0.8669, kb_relative_information_score: 25479.3999, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9465, predictive_accuracy: 0.9468, prior_entropy: 0.863, recall: 0.9468, relative_absolute_error: 0.2849, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.4572, scimark_benchmark: 1274.5329, usercpu_time_millis: 1730.957, usercpu_time_millis_testing: 53.091, usercpu_time_millis_training: 1677.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9508, kappa: 0.8785, kb_relative_information_score: 25815.4944, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.951, predictive_accuracy: 0.9513, prior_entropy: 0.863, recall: 0.9513, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4453, scimark_benchmark: 1274.2972, usercpu_time_millis: 2859.027, usercpu_time_millis_testing: 103.444, usercpu_time_millis_training: 2755.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9454, kappa: 0.8645, kb_relative_information_score: 22959.7848, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9463, predictive_accuracy: 0.9463, prior_entropy: 0.863, recall: 0.9463, relative_absolute_error: 0.3745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.5012, scimark_benchmark: 1273.3416, usercpu_time_millis: 1377.577, usercpu_time_millis_testing: 86.363, usercpu_time_millis_training: 1291.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9617, kappa: 0.9057, kb_relative_information_score: 28147.6847, mean_absolute_error: 0.0816, 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: 0.1999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.3861, scimark_benchmark: 1269.7165, usercpu_time_millis: 1803.029, usercpu_time_millis_testing: 73.505, usercpu_time_millis_training: 1729.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9413, kappa: 0.8545, kb_relative_information_score: 24525.2084, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9418, predictive_accuracy: 0.9421, prior_entropy: 0.863, recall: 0.9421, relative_absolute_error: 0.316, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4797, scimark_benchmark: 1271.1533, usercpu_time_millis: 2410.862, usercpu_time_millis_testing: 86.588, usercpu_time_millis_training: 2324.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.924, kappa: 0.809, kb_relative_information_score: 18566.0555, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9293, predictive_accuracy: 0.9267, prior_entropy: 0.863, recall: 0.9267, relative_absolute_error: 0.5209, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.5962, scimark_benchmark: 1273.9669, usercpu_time_millis: 1148.222, usercpu_time_millis_testing: 83.374, usercpu_time_millis_training: 1064.848,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9608, kappa: 0.9035, kb_relative_information_score: 27875.0226, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9608, predictive_accuracy: 0.961, prior_entropy: 0.863, recall: 0.961, relative_absolute_error: 0.2097, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.3916, scimark_benchmark: 1271.1222, usercpu_time_millis: 1367.795, usercpu_time_millis_testing: 75.43, usercpu_time_millis_training: 1292.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9532, kappa: 0.8847, kb_relative_information_score: 26792.7128, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9532, predictive_accuracy: 0.9535, prior_entropy: 0.863, recall: 0.9535, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.4264, scimark_benchmark: 1282.1888, usercpu_time_millis: 959.69, usercpu_time_millis_testing: 53.895, usercpu_time_millis_training: 905.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9497, kappa: 0.8753, kb_relative_information_score: 24065.7394, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9503, predictive_accuracy: 0.9503, prior_entropy: 0.863, recall: 0.9503, relative_absolute_error: 0.3397, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.4739, scimark_benchmark: 1267.0694, usercpu_time_millis: 1027.381, usercpu_time_millis_testing: 63.064, usercpu_time_millis_training: 964.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9411, kappa: 0.8543, kb_relative_information_score: 25844.7934, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9412, predictive_accuracy: 0.9417, prior_entropy: 0.863, recall: 0.9417, relative_absolute_error: 0.2647, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4657, scimark_benchmark: 1255.4841, usercpu_time_millis: 1302.775, usercpu_time_millis_testing: 36.976, usercpu_time_millis_training: 1265.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9553, kappa: 0.8895, kb_relative_information_score: 26037.9574, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9554, predictive_accuracy: 0.9556, prior_entropy: 0.863, recall: 0.9556, relative_absolute_error: 0.2721, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.4322, scimark_benchmark: 1271.8964, usercpu_time_millis: 557.633, usercpu_time_millis_testing: 42.234, usercpu_time_millis_training: 515.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9307, kappa: 0.8276, kb_relative_information_score: 24932.3679, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9319, predictive_accuracy: 0.932, prior_entropy: 0.863, recall: 0.932, relative_absolute_error: 0.2899, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.498, scimark_benchmark: 1258.5744, usercpu_time_millis: 2723.918, usercpu_time_millis_testing: 31.874, usercpu_time_millis_training: 2692.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9597, kappa: 0.9006, kb_relative_information_score: 27290.9605, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9597, predictive_accuracy: 0.9599, prior_entropy: 0.863, recall: 0.9599, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.4036, scimark_benchmark: 1260.9435, usercpu_time_millis: 1115.717, usercpu_time_millis_testing: 42.186, usercpu_time_millis_training: 1073.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9606, kappa: 0.9028, kb_relative_information_score: 27286.3269, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9607, predictive_accuracy: 0.9608, prior_entropy: 0.863, recall: 0.9608, relative_absolute_error: 0.2322, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.399, scimark_benchmark: 1272.0119, usercpu_time_millis: 1243.146, usercpu_time_millis_testing: 70.308, usercpu_time_millis_training: 1172.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9508, kappa: 0.8784, kb_relative_information_score: 25266.0541, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9512, predictive_accuracy: 0.9513, prior_entropy: 0.863, recall: 0.9513, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4519, scimark_benchmark: 1277.5288, usercpu_time_millis: 1105.559, usercpu_time_millis_testing: 71.606, usercpu_time_millis_training: 1033.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9645, kappa: 0.9126, kb_relative_information_score: 28545.6939, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9646, prior_entropy: 0.863, recall: 0.9646, relative_absolute_error: 0.1874, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.3736, scimark_benchmark: 1260.0511, usercpu_time_millis: 914.901, usercpu_time_millis_testing: 46.885, usercpu_time_millis_training: 868.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9516, kappa: 0.8808, kb_relative_information_score: 26667.2815, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9516, predictive_accuracy: 0.9519, prior_entropy: 0.863, recall: 0.9519, relative_absolute_error: 0.2429, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4354, scimark_benchmark: 1248.9023, usercpu_time_millis: 2371.443, usercpu_time_millis_testing: 61.758, usercpu_time_millis_training: 2309.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9347, kappa: 0.8377, kb_relative_information_score: 22977.914, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9356, predictive_accuracy: 0.9358, prior_entropy: 0.863, recall: 0.9358, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.5125, scimark_benchmark: 1273.3674, usercpu_time_millis: 1223.74, usercpu_time_millis_testing: 70.251, usercpu_time_millis_training: 1153.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9528, kappa: 0.8835, kb_relative_information_score: 25991.185, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.953, predictive_accuracy: 0.9533, prior_entropy: 0.863, recall: 0.9533, relative_absolute_error: 0.2717, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.4377, scimark_benchmark: 1275.0592, usercpu_time_millis: 527.972, usercpu_time_millis_testing: 24.33, usercpu_time_millis_training: 503.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9613, kappa: 0.9048, kb_relative_information_score: 28104.1102, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.2014, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.387, scimark_benchmark: 1272.2322, usercpu_time_millis: 1270.305, usercpu_time_millis_testing: 71.853, usercpu_time_millis_training: 1198.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9416, kappa: 0.8555, kb_relative_information_score: 25601.9068, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9418, predictive_accuracy: 0.9422, prior_entropy: 0.863, recall: 0.9422, relative_absolute_error: 0.2753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4657, scimark_benchmark: 1240.6393, usercpu_time_millis: 1113.524, usercpu_time_millis_testing: 29.118, usercpu_time_millis_training: 1084.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9564, kappa: 0.8923, kb_relative_information_score: 25465.5258, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9568, predictive_accuracy: 0.9569, prior_entropy: 0.863, recall: 0.9569, relative_absolute_error: 0.2957, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.4371, scimark_benchmark: 1263.2797, usercpu_time_millis: 360.66, usercpu_time_millis_testing: 26.624, usercpu_time_millis_training: 334.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9601, kappa: 0.9019, kb_relative_information_score: 28402.3029, mean_absolute_error: 0.0765, 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: 0.1874, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.3923, scimark_benchmark: 1250.5126, usercpu_time_millis: 398.02, usercpu_time_millis_testing: 13.652, usercpu_time_millis_training: 384.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9543, kappa: 0.8871, kb_relative_information_score: 25972.0434, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9546, predictive_accuracy: 0.9547, prior_entropy: 0.863, recall: 0.9547, relative_absolute_error: 0.2745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.196, root_relative_squared_error: 0.434, scimark_benchmark: 1272.2083, usercpu_time_millis: 1010.986, usercpu_time_millis_testing: 57.752, usercpu_time_millis_training: 953.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9423, kappa: 0.8571, kb_relative_information_score: 25312.4209, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9426, predictive_accuracy: 0.943, prior_entropy: 0.863, recall: 0.943, relative_absolute_error: 0.2878, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4667, scimark_benchmark: 1280.6974, usercpu_time_millis: 1309.359, usercpu_time_millis_testing: 53.989, usercpu_time_millis_training: 1255.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9536, kappa: 0.8851, kb_relative_information_score: 24875.8606, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.954, predictive_accuracy: 0.9541, prior_entropy: 0.863, recall: 0.9541, relative_absolute_error: 0.3145, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.4522, scimark_benchmark: 1262.2549, usercpu_time_millis: 996.894, usercpu_time_millis_testing: 67.885, usercpu_time_millis_training: 929.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9408, kappa: 0.8551, kb_relative_information_score: 28745.5623, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9409, predictive_accuracy: 0.9408, prior_entropy: 0.863, recall: 0.9408, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.497, scimark_benchmark: 1239.0061, usercpu_time_millis: 39.094, usercpu_time_millis_testing: 3.913, usercpu_time_millis_training: 35.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9607, kappa: 0.9032, kb_relative_information_score: 27269.3692, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9608, predictive_accuracy: 0.961, prior_entropy: 0.863, recall: 0.961, relative_absolute_error: 0.233, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3991, scimark_benchmark: 1275.3136, usercpu_time_millis: 1816.025, usercpu_time_millis_testing: 97.244, usercpu_time_millis_training: 1718.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9227, kappa: 0.8071, kb_relative_information_score: 19924.0632, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9242, predictive_accuracy: 0.9243, prior_entropy: 0.863, recall: 0.9243, relative_absolute_error: 0.4603, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5766, scimark_benchmark: 1259.3015, usercpu_time_millis: 569.206, usercpu_time_millis_testing: 25.587, usercpu_time_millis_training: 543.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9683, kappa: 0.9222, kb_relative_information_score: 29409.9887, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9683, predictive_accuracy: 0.9684, prior_entropy: 0.863, recall: 0.9684, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.3495, scimark_benchmark: 1244.6788, usercpu_time_millis: 559.642, usercpu_time_millis_testing: 18.779, usercpu_time_millis_training: 540.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9277, kappa: 0.8185, kb_relative_information_score: 18982.3524, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9323, predictive_accuracy: 0.93, prior_entropy: 0.863, recall: 0.93, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.5859, scimark_benchmark: 1272.9865, usercpu_time_millis: 556.969, usercpu_time_millis_testing: 40.062, usercpu_time_millis_training: 516.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9609, kappa: 0.9036, kb_relative_information_score: 27294.769, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.961, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.2321, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.3986, scimark_benchmark: 1276.1688, usercpu_time_millis: 1760.807, usercpu_time_millis_testing: 83.457, usercpu_time_millis_training: 1677.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9452, kappa: 0.8645, kb_relative_information_score: 25686.1755, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9454, predictive_accuracy: 0.9458, prior_entropy: 0.863, recall: 0.9458, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.4572, scimark_benchmark: 1269.4308, usercpu_time_millis: 2071.526, usercpu_time_millis_testing: 71.03, usercpu_time_millis_training: 2000.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9424, kappa: 0.8572, kb_relative_information_score: 23709.4116, mean_absolute_error: 0.1409, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.943, predictive_accuracy: 0.9432, prior_entropy: 0.863, recall: 0.9432, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.4924, scimark_benchmark: 1277.2818, usercpu_time_millis: 309.804, usercpu_time_millis_testing: 18.751, usercpu_time_millis_training: 291.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9577, kappa: 0.8961, kb_relative_information_score: 28176.3231, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9576, predictive_accuracy: 0.9578, prior_entropy: 0.863, recall: 0.9578, relative_absolute_error: 0.1929, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.4009, scimark_benchmark: 1263.862, usercpu_time_millis: 320.302, usercpu_time_millis_testing: 7.387, usercpu_time_millis_training: 312.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9455, kappa: 0.8647, kb_relative_information_score: 23124.6007, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9463, predictive_accuracy: 0.9463, prior_entropy: 0.863, recall: 0.9463, relative_absolute_error: 0.3691, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.4976, scimark_benchmark: 1271.5638, usercpu_time_millis: 326.376, usercpu_time_millis_testing: 19.384, usercpu_time_millis_training: 306.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9438, kappa: 0.8605, kb_relative_information_score: 23369.2191, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9444, predictive_accuracy: 0.9445, prior_entropy: 0.863, recall: 0.9445, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.4969, scimark_benchmark: 1272.8356, usercpu_time_millis: 1454.498, usercpu_time_millis_testing: 93.349, usercpu_time_millis_training: 1361.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9583, kappa: 0.8968, kb_relative_information_score: 25816.1679, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9586, predictive_accuracy: 0.9587, prior_entropy: 0.863, recall: 0.9587, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.4263, scimark_benchmark: 1269.4267, usercpu_time_millis: 1519.545, usercpu_time_millis_testing: 98.715, usercpu_time_millis_training: 1420.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9237, kappa: 0.8097, kb_relative_information_score: 19907.966, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9255, predictive_accuracy: 0.9254, prior_entropy: 0.863, recall: 0.9254, relative_absolute_error: 0.4613, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.5764, scimark_benchmark: 1266.249, usercpu_time_millis: 696.244, usercpu_time_millis_testing: 32.158, usercpu_time_millis_training: 664.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.955, kappa: 0.889, kb_relative_information_score: 26820.5734, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.955, predictive_accuracy: 0.9553, prior_entropy: 0.863, recall: 0.9553, relative_absolute_error: 0.2432, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.4202, scimark_benchmark: 1276.0765, usercpu_time_millis: 504.819, usercpu_time_millis_testing: 27.096, usercpu_time_millis_training: 477.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9579, kappa: 0.8964, kb_relative_information_score: 27470.8126, mean_absolute_error: 0.0898, 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: 0.2201, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.4075, scimark_benchmark: 1271.4968, usercpu_time_millis: 2904.638, usercpu_time_millis_testing: 113.827, usercpu_time_millis_training: 2790.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.8754, kappa: 0.6956, kb_relative_information_score: 17947.4623, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8758, predictive_accuracy: 0.875, prior_entropy: 0.863, recall: 0.875, relative_absolute_error: 0.5011, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.6427, scimark_benchmark: 1265.9303, usercpu_time_millis: 1013.398, usercpu_time_millis_testing: 45.794, usercpu_time_millis_training: 967.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9673, kappa: 0.9195, kb_relative_information_score: 29029.1473, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3577, scimark_benchmark: 1266.1637, usercpu_time_millis: 325.709, usercpu_time_millis_testing: 14.161, usercpu_time_millis_training: 311.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9626, kappa: 0.9081, kb_relative_information_score: 28364.837, mean_absolute_error: 0.0784, 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: 0.1921, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.3814, scimark_benchmark: 1249.4401, usercpu_time_millis: 1936.046, usercpu_time_millis_testing: 49.527, usercpu_time_millis_training: 1886.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9589, kappa: 0.8991, kb_relative_information_score: 28110.8758, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.959, prior_entropy: 0.863, recall: 0.959, relative_absolute_error: 0.1965, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.3984, scimark_benchmark: 1270.8232, usercpu_time_millis: 2415.863, usercpu_time_millis_testing: 57.951, usercpu_time_millis_training: 2357.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9328, kappa: 0.8315, kb_relative_information_score: 19533.5018, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9367, predictive_accuracy: 0.9347, prior_entropy: 0.863, recall: 0.9347, relative_absolute_error: 0.493, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.5723, scimark_benchmark: 1275.7793, usercpu_time_millis: 217.749, usercpu_time_millis_testing: 15.176, usercpu_time_millis_training: 202.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9593, kappa: 0.8994, kb_relative_information_score: 26137.4714, mean_absolute_error: 0.1123, 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: 0.2752, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.4177, scimark_benchmark: 1269.4307, usercpu_time_millis: 986.305, usercpu_time_millis_testing: 51.821, usercpu_time_millis_training: 934.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9582, kappa: 0.8971, kb_relative_information_score: 27303.3634, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9582, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.2279, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.4068, scimark_benchmark: 1270.0728, usercpu_time_millis: 2558.163, usercpu_time_millis_testing: 96.939, usercpu_time_millis_training: 2461.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9401, kappa: 0.8513, kb_relative_information_score: 23977.2155, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9406, predictive_accuracy: 0.9409, prior_entropy: 0.863, recall: 0.9409, relative_absolute_error: 0.3351, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.4895, scimark_benchmark: 1250.8319, usercpu_time_millis: 181.866, usercpu_time_millis_testing: 12.42, usercpu_time_millis_training: 169.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9663, kappa: 0.9173, kb_relative_information_score: 29103.881, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9663, predictive_accuracy: 0.9664, prior_entropy: 0.863, recall: 0.9664, relative_absolute_error: 0.1689, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.3588, scimark_benchmark: 1273.6985, usercpu_time_millis: 1515.926, usercpu_time_millis_testing: 42.033, usercpu_time_millis_training: 1473.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9231, kappa: 0.8066, kb_relative_information_score: 18502.8227, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9283, predictive_accuracy: 0.9258, prior_entropy: 0.863, recall: 0.9258, relative_absolute_error: 0.5226, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.27, root_relative_squared_error: 0.5978, scimark_benchmark: 1271.6555, usercpu_time_millis: 644.522, usercpu_time_millis_testing: 55.168, usercpu_time_millis_training: 589.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9542, kappa: 0.8877, kb_relative_information_score: 27620.3322, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9542, predictive_accuracy: 0.9543, prior_entropy: 0.863, recall: 0.9543, relative_absolute_error: 0.2092, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.4199, scimark_benchmark: 1261.9405, usercpu_time_millis: 2354.765, usercpu_time_millis_testing: 33.765, usercpu_time_millis_training: 2321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9151, kappa: 0.7859, kb_relative_information_score: 17868.4183, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9217, predictive_accuracy: 0.9184, prior_entropy: 0.863, recall: 0.9184, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.6131, scimark_benchmark: 1271.0942, usercpu_time_millis: 917.518, usercpu_time_millis_testing: 74.404, usercpu_time_millis_training: 843.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9586, kappa: 0.8979, kb_relative_information_score: 27261.8742, mean_absolute_error: 0.0941, 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: 0.2307, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.4046, scimark_benchmark: 1273.3575, usercpu_time_millis: 1185.052, usercpu_time_millis_testing: 83.166, usercpu_time_millis_training: 1101.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9656, kappa: 0.9157, kb_relative_information_score: 29341.5398, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9656, predictive_accuracy: 0.9657, prior_entropy: 0.863, recall: 0.9657, relative_absolute_error: 0.1588, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.3602, scimark_benchmark: 1257.4986, usercpu_time_millis: 5382.468, usercpu_time_millis_testing: 69.392, usercpu_time_millis_training: 5313.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9454, kappa: 0.8651, kb_relative_information_score: 25730.6165, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9456, predictive_accuracy: 0.946, prior_entropy: 0.863, recall: 0.946, relative_absolute_error: 0.2743, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.206, root_relative_squared_error: 0.4561, scimark_benchmark: 1263.5299, usercpu_time_millis: 2636.559, usercpu_time_millis_testing: 67.165, usercpu_time_millis_training: 2569.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9599, kappa: 0.9014, kb_relative_information_score: 27913.9629, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.9601, prior_entropy: 0.863, recall: 0.9601, relative_absolute_error: 0.2067, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.3945, scimark_benchmark: 1274.0399, usercpu_time_millis: 1145.773, usercpu_time_millis_testing: 67.843, usercpu_time_millis_training: 1077.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.962, kappa: 0.9065, kb_relative_information_score: 28184.7344, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.9621, prior_entropy: 0.863, recall: 0.9621, relative_absolute_error: 0.1988, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.385, scimark_benchmark: 1276.9023, usercpu_time_millis: 1092.98, usercpu_time_millis_testing: 44.426, usercpu_time_millis_training: 1048.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9558, kappa: 0.8916, kb_relative_information_score: 27832.993, mean_absolute_error: 0.0831, 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: 0.2036, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.4109, scimark_benchmark: 1250.5028, usercpu_time_millis: 1470.886, usercpu_time_millis_testing: 32.413, usercpu_time_millis_training: 1438.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9545, kappa: 0.8875, kb_relative_information_score: 25871.139, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9547, predictive_accuracy: 0.9549, prior_entropy: 0.863, recall: 0.9549, relative_absolute_error: 0.2778, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.4362, scimark_benchmark: 1263.6697, usercpu_time_millis: 1209.342, usercpu_time_millis_testing: 61.072, usercpu_time_millis_training: 1148.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.962, kappa: 0.9066, kb_relative_information_score: 28099.0517, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.9622, prior_entropy: 0.863, recall: 0.9622, relative_absolute_error: 0.2015, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.3873, scimark_benchmark: 1261.354, usercpu_time_millis: 2224.663, usercpu_time_millis_testing: 76.745, usercpu_time_millis_training: 2147.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.8738, kappa: 0.6918, kb_relative_information_score: 17885.6509, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8743, predictive_accuracy: 0.8734, prior_entropy: 0.863, recall: 0.8734, relative_absolute_error: 0.5013, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.293, root_relative_squared_error: 0.6486, scimark_benchmark: 1256.9005, usercpu_time_millis: 762.554, usercpu_time_millis_testing: 23.982, usercpu_time_millis_training: 738.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9647, kappa: 0.9132, kb_relative_information_score: 28836.9992, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9648, prior_entropy: 0.863, recall: 0.9648, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.3686, scimark_benchmark: 1262.969, usercpu_time_millis: 2922.075, usercpu_time_millis_testing: 86.43, usercpu_time_millis_training: 2835.645,

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