OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31592 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.8371, kappa: 0.5822, kb_relative_information_score: 11795.2688, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8637, predictive_accuracy: 0.852, prior_entropy: 0.863, recall: 0.852, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.7458, scimark_benchmark: 1239.5638, usercpu_time_millis: 83.285, usercpu_time_millis_testing: 7.676, usercpu_time_millis_training: 75.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9535, kappa: 0.8858, kb_relative_information_score: 27553.8611, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9534, predictive_accuracy: 0.9535, prior_entropy: 0.863, recall: 0.9535, relative_absolute_error: 0.2116, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4222, scimark_benchmark: 1270.0064, usercpu_time_millis: 797.755, usercpu_time_millis_testing: 11.469, usercpu_time_millis_training: 786.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9672, kappa: 0.9193, kb_relative_information_score: 29093.598, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.3561, scimark_benchmark: 1251.2929, usercpu_time_millis: 30.32, usercpu_time_millis_testing: 1.332, usercpu_time_millis_training: 28.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9423, kappa: 0.8579, kb_relative_information_score: 26294.9159, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9423, predictive_accuracy: 0.9427, prior_entropy: 0.863, recall: 0.9427, relative_absolute_error: 0.2461, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4644, scimark_benchmark: 1196.9786, usercpu_time_millis: 403.385, usercpu_time_millis_testing: 2.514, usercpu_time_millis_training: 400.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9616, kappa: 0.9056, kb_relative_information_score: 28563.1573, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9615, predictive_accuracy: 0.9617, prior_entropy: 0.863, recall: 0.9617, relative_absolute_error: 0.183, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.3849, scimark_benchmark: 1263.2, usercpu_time_millis: 1077.293, usercpu_time_millis_testing: 29.049, usercpu_time_millis_training: 1048.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9343, kappa: 0.8362, kb_relative_information_score: 20015.6579, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9359, predictive_accuracy: 0.9356, prior_entropy: 0.863, recall: 0.9356, relative_absolute_error: 0.4657, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.5681, scimark_benchmark: 1247.6808, usercpu_time_millis: 367.994, usercpu_time_millis_testing: 26.6, usercpu_time_millis_training: 341.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8587, kappa: 0.6532, kb_relative_information_score: 15202.7262, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8585, predictive_accuracy: 0.859, prior_entropy: 0.863, recall: 0.859, relative_absolute_error: 0.5877, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.331, root_relative_squared_error: 0.7327, scimark_benchmark: 1175.7574, usercpu_time_millis: 258.76, usercpu_time_millis_testing: 7.734, usercpu_time_millis_training: 251.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9324, kappa: 0.8321, kb_relative_information_score: 25221.5403, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9332, predictive_accuracy: 0.9335, prior_entropy: 0.863, recall: 0.9335, relative_absolute_error: 0.2741, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.4991, scimark_benchmark: 1199.1938, usercpu_time_millis: 1897.174, usercpu_time_millis_testing: 5.3, usercpu_time_millis_training: 1891.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.8767, kappa: 0.6985, kb_relative_information_score: 18711.264, mean_absolute_error: 0.1932, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.877, predictive_accuracy: 0.8765, prior_entropy: 0.863, recall: 0.8765, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.6294, scimark_benchmark: 1198.8042, usercpu_time_millis: 287.61, usercpu_time_millis_testing: 2.441, usercpu_time_millis_training: 285.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.8938, kappa: 0.7382, kb_relative_information_score: 18897.3461, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8934, predictive_accuracy: 0.8945, prior_entropy: 0.863, recall: 0.8945, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.6164, scimark_benchmark: 1200.9055, usercpu_time_millis: 869.856, usercpu_time_millis_testing: 16.335, usercpu_time_millis_training: 853.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.967, kappa: 0.9191, kb_relative_information_score: 29821.2575, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.967, predictive_accuracy: 0.967, prior_entropy: 0.863, recall: 0.967, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.161, root_relative_squared_error: 0.3564, scimark_benchmark: 1216.9481, usercpu_time_millis: 4975.474, usercpu_time_millis_testing: 12.583, usercpu_time_millis_training: 4962.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9512, kappa: 0.8804, kb_relative_information_score: 27497.3064, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9512, predictive_accuracy: 0.9512, prior_entropy: 0.863, recall: 0.9512, relative_absolute_error: 0.2116, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.4298, scimark_benchmark: 1249.9598, usercpu_time_millis: 2162.089, usercpu_time_millis_testing: 8.244, usercpu_time_millis_training: 2153.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9656, kappa: 0.9156, kb_relative_information_score: 29504.802, mean_absolute_error: 0.0623, 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: 0.1526, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3618, scimark_benchmark: 1280.9003, usercpu_time_millis: 10371.572, usercpu_time_millis_testing: 26.808, usercpu_time_millis_training: 10344.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9445, kappa: 0.8635, kb_relative_information_score: 26562.2505, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9445, predictive_accuracy: 0.9448, prior_entropy: 0.863, recall: 0.9448, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4573, scimark_benchmark: 1282.9469, usercpu_time_millis: 389.756, usercpu_time_millis_testing: 1.676, usercpu_time_millis_training: 388.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.8671, kappa: 0.6604, kb_relative_information_score: 12432.9555, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8869, predictive_accuracy: 0.8769, prior_entropy: 0.863, recall: 0.8769, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.7304, scimark_benchmark: 1252.9016, usercpu_time_millis: 214.129, usercpu_time_millis_testing: 17.44, usercpu_time_millis_training: 196.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9499, kappa: 0.8767, kb_relative_information_score: 26685.3799, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9499, predictive_accuracy: 0.9502, prior_entropy: 0.863, recall: 0.9502, relative_absolute_error: 0.2405, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4392, scimark_benchmark: 1255.8303, usercpu_time_millis: 638.171, usercpu_time_millis_testing: 12.002, usercpu_time_millis_training: 626.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9574, kappa: 0.8954, kb_relative_information_score: 28290.856, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9574, predictive_accuracy: 0.9575, prior_entropy: 0.863, recall: 0.9575, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.181, root_relative_squared_error: 0.4006, scimark_benchmark: 1291.7529, usercpu_time_millis: 48.386, usercpu_time_millis_testing: 0.829, usercpu_time_millis_training: 47.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9684, kappa: 0.9225, kb_relative_information_score: 29782.5287, mean_absolute_error: 0.0591, 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: 0.1449, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.3471, scimark_benchmark: 1285.1742, usercpu_time_millis: 3029.514, usercpu_time_millis_testing: 18.08, usercpu_time_millis_training: 3011.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9338, kappa: 0.8361, kb_relative_information_score: 26000.8313, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.934, predictive_accuracy: 0.9346, prior_entropy: 0.863, recall: 0.9346, relative_absolute_error: 0.2505, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4825, scimark_benchmark: 1248.6787, usercpu_time_millis: 6466.28, usercpu_time_millis_testing: 13.656, usercpu_time_millis_training: 6452.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.8582, kappa: 0.6549, kb_relative_information_score: 15550.2929, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8594, predictive_accuracy: 0.8572, prior_entropy: 0.863, recall: 0.8572, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.7412, scimark_benchmark: 1271.3085, usercpu_time_millis: 331.028, usercpu_time_millis_testing: 5.1, usercpu_time_millis_training: 325.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9544, kappa: 0.8881, kb_relative_information_score: 27884.3989, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9544, predictive_accuracy: 0.9544, prior_entropy: 0.863, recall: 0.9544, relative_absolute_error: 0.1998, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.4186, scimark_benchmark: 1261.3984, usercpu_time_millis: 2747.809, usercpu_time_millis_testing: 8.846, usercpu_time_millis_training: 2738.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.963, kappa: 0.909, kb_relative_information_score: 28744.251, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.963, prior_entropy: 0.863, recall: 0.963, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.3793, scimark_benchmark: 1265.0897, usercpu_time_millis: 393.237, usercpu_time_millis_testing: 7.808, usercpu_time_millis_training: 385.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.954, kappa: 0.8871, kb_relative_information_score: 27748.9062, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.954, predictive_accuracy: 0.9542, prior_entropy: 0.863, recall: 0.9542, relative_absolute_error: 0.2059, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.4179, scimark_benchmark: 1235.4282, usercpu_time_millis: 1494.11, usercpu_time_millis_testing: 15.486, usercpu_time_millis_training: 1478.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9694, kappa: 0.9249, kb_relative_information_score: 30107.9046, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9693, predictive_accuracy: 0.9694, prior_entropy: 0.863, recall: 0.9694, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.3442, scimark_benchmark: 1254.1088, usercpu_time_millis: 12947.541, usercpu_time_millis_testing: 37.889, usercpu_time_millis_training: 12909.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9609, kappa: 0.9042, kb_relative_information_score: 28865.8192, mean_absolute_error: 0.0699, 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: 0.1712, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3855, scimark_benchmark: 1262.8979, usercpu_time_millis: 11169.374, usercpu_time_millis_testing: 25.526, usercpu_time_millis_training: 11143.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9651, kappa: 0.9142, kb_relative_information_score: 29297.7299, mean_absolute_error: 0.0649, 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: 0.1591, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.3678, scimark_benchmark: 1227.3931, usercpu_time_millis: 656.596, usercpu_time_millis_testing: 2.202, usercpu_time_millis_training: 654.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9666, kappa: 0.918, kb_relative_information_score: 29492.9567, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9665, predictive_accuracy: 0.9666, prior_entropy: 0.863, recall: 0.9666, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3587, scimark_benchmark: 1246.5493, usercpu_time_millis: 259.461, usercpu_time_millis_testing: 1.899, usercpu_time_millis_training: 257.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9631, kappa: 0.9093, kb_relative_information_score: 28909.5424, mean_absolute_error: 0.07, 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: 0.1716, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.3787, scimark_benchmark: 1088.1863, usercpu_time_millis: 2082.893, usercpu_time_millis_testing: 11.487, usercpu_time_millis_training: 2071.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9682, kappa: 0.9221, kb_relative_information_score: 30007.8772, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9682, predictive_accuracy: 0.9683, prior_entropy: 0.863, recall: 0.9683, relative_absolute_error: 0.1358, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.3505, scimark_benchmark: 1251.405, usercpu_time_millis: 15059.762, usercpu_time_millis_testing: 27.223, usercpu_time_millis_training: 15032.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9205, kappa: 0.8004, kb_relative_information_score: 24434.1339, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9247, predictive_accuracy: 0.923, prior_entropy: 0.863, recall: 0.923, relative_absolute_error: 0.3055, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.5127, scimark_benchmark: 1260.0058, usercpu_time_millis: 466.712, usercpu_time_millis_testing: 5.596, usercpu_time_millis_training: 461.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9672, kappa: 0.9195, kb_relative_information_score: 29758.9871, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1442, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.3549, scimark_benchmark: 1244.7879, usercpu_time_millis: 11776.696, usercpu_time_millis_testing: 35.216, usercpu_time_millis_training: 11741.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9602, kappa: 0.9022, kb_relative_information_score: 28570.212, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.3928, scimark_benchmark: 1269.7087, usercpu_time_millis: 4455.958, usercpu_time_millis_testing: 20.061, usercpu_time_millis_training: 4435.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.967, kappa: 0.9189, kb_relative_information_score: 29797.2904, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9669, predictive_accuracy: 0.967, prior_entropy: 0.863, recall: 0.967, relative_absolute_error: 0.1429, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.3553, scimark_benchmark: 1171.2637, usercpu_time_millis: 12970.866, usercpu_time_millis_testing: 23.311, usercpu_time_millis_training: 12947.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.5991, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1837.1556, usercpu_time_millis: 15.62, usercpu_time_millis_testing: 2.051, usercpu_time_millis_training: 13.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9159, kappa: 0.7885, kb_relative_information_score: 24242.6173, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9211, predictive_accuracy: 0.9189, prior_entropy: 0.863, recall: 0.9189, relative_absolute_error: 0.3077, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.5256, scimark_benchmark: 1834.6797, usercpu_time_millis: 27.482, usercpu_time_millis_testing: 0.451, usercpu_time_millis_training: 27.031,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9365, kappa: 0.8421, kb_relative_information_score: 21276.493, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9374, predictive_accuracy: 0.9375, prior_entropy: 0.863, recall: 0.9375, relative_absolute_error: 0.4245, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.5422, scimark_benchmark: 1157.5377, usercpu_time_millis: 390.386, usercpu_time_millis_testing: 20.553, usercpu_time_millis_training: 369.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.97, kappa: 0.9264, kb_relative_information_score: 30084.8286, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.97, predictive_accuracy: 0.97, prior_entropy: 0.863, recall: 0.97, relative_absolute_error: 0.1353, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.3362, scimark_benchmark: 1259.5893, usercpu_time_millis: 1733.179, usercpu_time_millis_testing: 19.502, usercpu_time_millis_training: 1713.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9376, kappa: 0.845, kb_relative_information_score: 21609.0846, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9385, predictive_accuracy: 0.9386, prior_entropy: 0.863, recall: 0.9386, relative_absolute_error: 0.414, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.5352, scimark_benchmark: 1250.0853, usercpu_time_millis: 186.903, usercpu_time_millis_testing: 13.189, usercpu_time_millis_training: 173.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9297, kappa: 0.8251, kb_relative_information_score: 25089.0589, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9305, predictive_accuracy: 0.9308, prior_entropy: 0.863, recall: 0.9308, relative_absolute_error: 0.2753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.5071, scimark_benchmark: 1200.5361, usercpu_time_millis: 9484.863, usercpu_time_millis_testing: 23.985, usercpu_time_millis_training: 9460.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8633, kappa: 0.6696, kb_relative_information_score: 17372.8913, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8662, predictive_accuracy: 0.8615, prior_entropy: 0.863, recall: 0.8615, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.312, root_relative_squared_error: 0.6907, scimark_benchmark: 1254.9622, usercpu_time_millis: 558.535, usercpu_time_millis_testing: 1.761, usercpu_time_millis_training: 556.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.8568, kappa: 0.6524, kb_relative_information_score: 15512.5904, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8586, predictive_accuracy: 0.8556, prior_entropy: 0.863, recall: 0.8556, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.337, root_relative_squared_error: 0.746, scimark_benchmark: 1128.4994, usercpu_time_millis: 329.454, usercpu_time_millis_testing: 5.395, usercpu_time_millis_training: 324.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9147, kappa: 0.7853, kb_relative_information_score: 24338.9545, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9203, predictive_accuracy: 0.9179, prior_entropy: 0.863, recall: 0.9179, relative_absolute_error: 0.3018, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.5276, scimark_benchmark: 1266.9503, usercpu_time_millis: 380.268, usercpu_time_millis_testing: 1.408, usercpu_time_millis_training: 378.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9149, kappa: 0.7861, kb_relative_information_score: 24009.8042, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9193, predictive_accuracy: 0.9177, prior_entropy: 0.863, recall: 0.9177, relative_absolute_error: 0.3142, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.5298, scimark_benchmark: 1270.4954, usercpu_time_millis: 3115.664, usercpu_time_millis_testing: 10.619, usercpu_time_millis_training: 3105.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9695, kappa: 0.9251, kb_relative_information_score: 29913.0099, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9694, predictive_accuracy: 0.9695, prior_entropy: 0.863, recall: 0.9695, relative_absolute_error: 0.1412, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.3398, scimark_benchmark: 1287.1592, usercpu_time_millis: 1506.498, usercpu_time_millis_testing: 20.058, usercpu_time_millis_training: 1486.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9594, kappa: 0.9001, kb_relative_information_score: 28406.2715, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9593, predictive_accuracy: 0.9595, prior_entropy: 0.863, recall: 0.9595, relative_absolute_error: 0.1871, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3939, scimark_benchmark: 1289.9605, usercpu_time_millis: 2312.698, usercpu_time_millis_testing: 24.064, usercpu_time_millis_training: 2288.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.8617, kappa: 0.6666, kb_relative_information_score: 17277.8644, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8653, predictive_accuracy: 0.8597, prior_entropy: 0.863, recall: 0.8597, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.69, scimark_benchmark: 1275.2682, usercpu_time_millis: 918.046, usercpu_time_millis_testing: 3.739, usercpu_time_millis_training: 914.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9698, kappa: 0.9259, kb_relative_information_score: 30104.4141, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9698, prior_entropy: 0.863, recall: 0.9698, relative_absolute_error: 0.1335, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.3427, scimark_benchmark: 1246.7116, usercpu_time_millis: 6981.667, usercpu_time_millis_testing: 25.487, usercpu_time_millis_training: 6956.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.968, kappa: 0.9216, kb_relative_information_score: 29572.8593, mean_absolute_error: 0.0622, 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: 0.1523, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.3507, scimark_benchmark: 1158.1683, usercpu_time_millis: 248.767, usercpu_time_millis_testing: 4.125, usercpu_time_millis_training: 244.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9381, kappa: 0.8468, kb_relative_information_score: 26051.0709, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9382, predictive_accuracy: 0.9387, prior_entropy: 0.863, recall: 0.9387, relative_absolute_error: 0.2533, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4707, scimark_benchmark: 1272.5934, usercpu_time_millis: 4241.522, usercpu_time_millis_testing: 21.974, usercpu_time_millis_training: 4219.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9495, kappa: 0.8761, kb_relative_information_score: 27343.6018, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9495, predictive_accuracy: 0.9496, prior_entropy: 0.863, recall: 0.9496, relative_absolute_error: 0.2161, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.4364, scimark_benchmark: 1277.977, usercpu_time_millis: 5277.869, usercpu_time_millis_testing: 18.254, usercpu_time_millis_training: 5259.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9675, kappa: 0.9202, kb_relative_information_score: 29775.3119, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1438, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.3546, scimark_benchmark: 1294.7997, usercpu_time_millis: 2983.034, usercpu_time_millis_testing: 5.773, usercpu_time_millis_training: 2977.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9161, kappa: 0.7889, kb_relative_information_score: 24425.1047, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9213, predictive_accuracy: 0.9191, prior_entropy: 0.863, recall: 0.9191, relative_absolute_error: 0.2992, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.524, scimark_benchmark: 1252.2034, usercpu_time_millis: 1319.269, usercpu_time_millis_testing: 3.74, usercpu_time_millis_training: 1315.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.943, kappa: 0.8597, kb_relative_information_score: 26415.2195, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9429, predictive_accuracy: 0.9433, prior_entropy: 0.863, recall: 0.9433, relative_absolute_error: 0.2407, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4655, scimark_benchmark: 1280.7409, usercpu_time_millis: 10457.562, usercpu_time_millis_testing: 19.77, usercpu_time_millis_training: 10437.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.96, kappa: 0.902, kb_relative_information_score: 28579.2163, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.96, predictive_accuracy: 0.9601, prior_entropy: 0.863, recall: 0.9601, relative_absolute_error: 0.1801, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.3906, scimark_benchmark: 1270.5729, usercpu_time_millis: 5676.935, usercpu_time_millis_testing: 24.186, usercpu_time_millis_training: 5652.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9578, kappa: 0.8964, kb_relative_information_score: 28286.5066, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9577, predictive_accuracy: 0.9578, prior_entropy: 0.863, recall: 0.9578, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.4021, scimark_benchmark: 1239.4255, usercpu_time_millis: 2052.902, usercpu_time_millis_testing: 8.668, usercpu_time_millis_training: 2044.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8592, kappa: 0.6541, kb_relative_information_score: 14996.3407, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8589, predictive_accuracy: 0.8596, prior_entropy: 0.863, recall: 0.8596, relative_absolute_error: 0.596, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.7269, scimark_benchmark: 1253.0098, usercpu_time_millis: 42.275, usercpu_time_millis_testing: 1.068, usercpu_time_millis_training: 41.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.8664, kappa: 0.6737, kb_relative_information_score: 16996.1192, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8669, predictive_accuracy: 0.8661, prior_entropy: 0.863, recall: 0.8661, relative_absolute_error: 0.5236, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.308, root_relative_squared_error: 0.6818, scimark_benchmark: 1272.093, usercpu_time_millis: 323.09, usercpu_time_millis_testing: 6.716, usercpu_time_millis_training: 316.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8639, kappa: 0.6668, kb_relative_information_score: 16610.8766, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.864, predictive_accuracy: 0.8637, prior_entropy: 0.863, recall: 0.8637, relative_absolute_error: 0.5391, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.6899, scimark_benchmark: 1260.605, usercpu_time_millis: 581.293, usercpu_time_millis_testing: 9.233, usercpu_time_millis_training: 572.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9657, kappa: 0.9157, kb_relative_information_score: 29225.3588, mean_absolute_error: 0.0665, 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: 0.1629, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.3623, scimark_benchmark: 1203.3774, usercpu_time_millis: 2345.708, usercpu_time_millis_testing: 31.411, usercpu_time_millis_training: 2314.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -11.7875, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1791.7907, usercpu_time_millis: 24.482, usercpu_time_millis_testing: 1.709, usercpu_time_millis_training: 22.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9554, kappa: 0.8905, kb_relative_information_score: 27778.6617, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9553, predictive_accuracy: 0.9554, prior_entropy: 0.863, recall: 0.9554, relative_absolute_error: 0.2044, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.4135, scimark_benchmark: 1819.3478, usercpu_time_millis: 628.824, usercpu_time_millis_testing: 6.298, usercpu_time_millis_training: 622.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9545, kappa: 0.8883, kb_relative_information_score: 27608.6002, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9544, predictive_accuracy: 0.9545, prior_entropy: 0.863, recall: 0.9545, relative_absolute_error: 0.2095, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.4192, scimark_benchmark: 1831.9885, usercpu_time_millis: 697, usercpu_time_millis_testing: 8.227, usercpu_time_millis_training: 688.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9424, kappa: 0.8582, kb_relative_information_score: 26277.3373, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9423, predictive_accuracy: 0.9427, prior_entropy: 0.863, recall: 0.9427, relative_absolute_error: 0.2479, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.208, root_relative_squared_error: 0.4605, scimark_benchmark: 1809.0434, usercpu_time_millis: 845.191, usercpu_time_millis_testing: 4.317, usercpu_time_millis_training: 840.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9557, kappa: 0.8913, kb_relative_information_score: 27823.5136, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.9558, prior_entropy: 0.863, recall: 0.9558, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.4125, scimark_benchmark: 1844.2371, usercpu_time_millis: 1591.946, usercpu_time_millis_testing: 13.235, usercpu_time_millis_training: 1578.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9334, kappa: 0.8345, kb_relative_information_score: 25268.7052, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.934, predictive_accuracy: 0.9344, prior_entropy: 0.863, recall: 0.9344, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.4945, scimark_benchmark: 1845.8518, usercpu_time_millis: 1270.272, usercpu_time_millis_testing: 7.403, usercpu_time_millis_training: 1262.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9448, kappa: 0.8639, kb_relative_information_score: 26412.5052, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9447, predictive_accuracy: 0.9451, prior_entropy: 0.863, recall: 0.9451, relative_absolute_error: 0.2465, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4526, scimark_benchmark: 1804.8863, usercpu_time_millis: 614.904, usercpu_time_millis_testing: 13.554, usercpu_time_millis_training: 601.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9665, kappa: 0.9178, kb_relative_information_score: 29636.679, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9665, predictive_accuracy: 0.9666, prior_entropy: 0.863, recall: 0.9666, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.3581, scimark_benchmark: 1836.7415, usercpu_time_millis: 1620.337, usercpu_time_millis_testing: 4.169, usercpu_time_millis_training: 1616.168,

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