OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

32334 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.968, kappa: 0.9215, kb_relative_information_score: 29811.8333, mean_absolute_error: 0.0583, 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: 0.1429, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.3501, scimark_benchmark: 1264.6177, usercpu_time_millis: 367.502, usercpu_time_millis_testing: 6.887, usercpu_time_millis_training: 360.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9306, kappa: 0.8272, kb_relative_information_score: 22927.7349, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9318, predictive_accuracy: 0.9319, prior_entropy: 0.863, recall: 0.9319, relative_absolute_error: 0.3662, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.5174, scimark_benchmark: 1283.0162, usercpu_time_millis: 911.788, usercpu_time_millis_testing: 54.021, usercpu_time_millis_training: 857.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9628, kappa: 0.9085, kb_relative_information_score: 28443.4037, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3813, scimark_benchmark: 1258.8471, usercpu_time_millis: 1736.297, usercpu_time_millis_testing: 73.51, usercpu_time_millis_training: 1662.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.962, kappa: 0.9067, kb_relative_information_score: 28499.0671, mean_absolute_error: 0.0758, 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: 0.1856, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.3847, scimark_benchmark: 1257.524, usercpu_time_millis: 930.392, usercpu_time_millis_testing: 38.525, usercpu_time_millis_training: 891.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9508, kappa: 0.8793, kb_relative_information_score: 27211.4886, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9508, predictive_accuracy: 0.9509, prior_entropy: 0.863, recall: 0.9509, relative_absolute_error: 0.2209, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.4346, scimark_benchmark: 1264.7691, usercpu_time_millis: 1051.943, usercpu_time_millis_testing: 11.722, usercpu_time_millis_training: 1040.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9638, kappa: 0.9112, kb_relative_information_score: 28885.0897, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.9639, prior_entropy: 0.863, recall: 0.9639, relative_absolute_error: 0.1732, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.3734, scimark_benchmark: 1256.9994, usercpu_time_millis: 1016.573, usercpu_time_millis_testing: 20.718, usercpu_time_millis_training: 995.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9195, kappa: 0.799, kb_relative_information_score: 18201.4369, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.921, predictive_accuracy: 0.9212, prior_entropy: 0.863, recall: 0.9212, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.6106, scimark_benchmark: 1255.8064, usercpu_time_millis: 498.568, usercpu_time_millis_testing: 25.756, usercpu_time_millis_training: 472.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9304, kappa: 0.8268, kb_relative_information_score: 24831.6381, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9316, predictive_accuracy: 0.9317, prior_entropy: 0.863, recall: 0.9317, relative_absolute_error: 0.2951, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.4978, scimark_benchmark: 1257.8029, usercpu_time_millis: 1465.173, usercpu_time_millis_testing: 56.822, usercpu_time_millis_training: 1408.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.961, kappa: 0.904, kb_relative_information_score: 27798.5578, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.961, predictive_accuracy: 0.9612, prior_entropy: 0.863, recall: 0.9612, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.393, scimark_benchmark: 1269.2577, usercpu_time_millis: 2129.165, usercpu_time_millis_testing: 78.243, usercpu_time_millis_training: 2050.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.963, kappa: 0.9091, kb_relative_information_score: 28854.2223, mean_absolute_error: 0.0707, 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: 0.1731, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.3784, scimark_benchmark: 1249.5859, usercpu_time_millis: 6367.174, usercpu_time_millis_testing: 84.472, usercpu_time_millis_training: 6282.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9489, kappa: 0.8745, kb_relative_information_score: 26966.9453, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9488, predictive_accuracy: 0.949, prior_entropy: 0.863, recall: 0.949, relative_absolute_error: 0.2284, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.4411, scimark_benchmark: 1262.4617, usercpu_time_millis: 3059.87, usercpu_time_millis_testing: 35.553, usercpu_time_millis_training: 3024.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9389, kappa: 0.849, kb_relative_information_score: 25947.1685, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9391, predictive_accuracy: 0.9395, prior_entropy: 0.863, recall: 0.9395, relative_absolute_error: 0.2583, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.47, scimark_benchmark: 1262.6272, usercpu_time_millis: 1116.374, usercpu_time_millis_testing: 21.574, usercpu_time_millis_training: 1094.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9273, kappa: 0.8173, kb_relative_information_score: 18888.3942, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9321, predictive_accuracy: 0.9296, prior_entropy: 0.863, recall: 0.9296, 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: 1268.9728, usercpu_time_millis: 559.626, usercpu_time_millis_testing: 38.663, usercpu_time_millis_training: 520.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.926, kappa: 0.8156, kb_relative_information_score: 20141.7967, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9274, predictive_accuracy: 0.9275, prior_entropy: 0.863, recall: 0.9275, relative_absolute_error: 0.4554, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.5707, scimark_benchmark: 1270.4384, usercpu_time_millis: 525.18, usercpu_time_millis_testing: 24.385, usercpu_time_millis_training: 500.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9169, kappa: 0.7909, kb_relative_information_score: 23777.268, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9218, predictive_accuracy: 0.9197, prior_entropy: 0.863, recall: 0.9197, relative_absolute_error: 0.3316, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.5206, scimark_benchmark: 1262.4524, usercpu_time_millis: 2955.111, usercpu_time_millis_testing: 60.908, usercpu_time_millis_training: 2894.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9595, kappa: 0.9006, kb_relative_information_score: 28386.2634, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3933, scimark_benchmark: 1272.0148, usercpu_time_millis: 1824.553, usercpu_time_millis_testing: 30.704, usercpu_time_millis_training: 1793.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9119, kappa: 0.7788, kb_relative_information_score: 15935.1612, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9158, predictive_accuracy: 0.9148, prior_entropy: 0.863, recall: 0.9148, relative_absolute_error: 0.5829, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.6568, scimark_benchmark: 1281.7039, usercpu_time_millis: 704.305, usercpu_time_millis_testing: 47.191, usercpu_time_millis_training: 657.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.967, kappa: 0.9192, kb_relative_information_score: 29863.5791, mean_absolute_error: 0.0565, 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: 0.1384, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3604, scimark_benchmark: 1256.4368, usercpu_time_millis: 140.32, usercpu_time_millis_testing: 4.251, usercpu_time_millis_training: 136.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9615, kappa: 0.9055, kb_relative_information_score: 28637.2135, mean_absolute_error: 0.0736, 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: 0.1804, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3832, scimark_benchmark: 1263.0357, usercpu_time_millis: 2739.807, usercpu_time_millis_testing: 79.082, usercpu_time_millis_training: 2660.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9505, kappa: 0.8782, kb_relative_information_score: 26861.3836, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9504, predictive_accuracy: 0.9507, prior_entropy: 0.863, recall: 0.9507, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4357, scimark_benchmark: 1268.1792, usercpu_time_millis: 479.275, usercpu_time_millis_testing: 24.05, usercpu_time_millis_training: 455.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9479, kappa: 0.8717, kb_relative_information_score: 26787.9956, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9478, predictive_accuracy: 0.9481, prior_entropy: 0.863, recall: 0.9481, relative_absolute_error: 0.235, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.4429, scimark_benchmark: 1287.439, usercpu_time_millis: 1284.168, usercpu_time_millis_testing: 24.752, usercpu_time_millis_training: 1259.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9589, kappa: 0.899, kb_relative_information_score: 27715.597, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.182, root_relative_squared_error: 0.4028, scimark_benchmark: 1261.8108, usercpu_time_millis: 1413.161, usercpu_time_millis_testing: 46.415, usercpu_time_millis_training: 1366.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9443, kappa: 0.8627, kb_relative_information_score: 26443.8272, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9443, predictive_accuracy: 0.9446, prior_entropy: 0.863, recall: 0.9446, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.205, root_relative_squared_error: 0.4538, scimark_benchmark: 1276.824, usercpu_time_millis: 2308.749, usercpu_time_millis_testing: 61.794, usercpu_time_millis_training: 2246.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9522, kappa: 0.8821, kb_relative_information_score: 26597.1761, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9522, predictive_accuracy: 0.9525, prior_entropy: 0.863, recall: 0.9525, relative_absolute_error: 0.2467, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4336, scimark_benchmark: 1252.3208, usercpu_time_millis: 3231.359, usercpu_time_millis_testing: 85.448, usercpu_time_millis_training: 3145.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9194, kappa: 0.797, kb_relative_information_score: 18268.3515, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.925, predictive_accuracy: 0.9223, prior_entropy: 0.863, recall: 0.9223, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.6038, scimark_benchmark: 1272.705, usercpu_time_millis: 592.198, usercpu_time_millis_testing: 45.023, usercpu_time_millis_training: 547.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9619, kappa: 0.9063, kb_relative_information_score: 28551.2814, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9618, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3831, scimark_benchmark: 1265.3918, usercpu_time_millis: 481.777, usercpu_time_millis_testing: 18.598, usercpu_time_millis_training: 463.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9258, kappa: 0.8146, kb_relative_information_score: 24429.5295, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.928, predictive_accuracy: 0.9276, prior_entropy: 0.863, recall: 0.9276, relative_absolute_error: 0.3085, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.5039, scimark_benchmark: 1289.3572, usercpu_time_millis: 2194.453, usercpu_time_millis_testing: 26.686, usercpu_time_millis_training: 2167.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9437, kappa: 0.8613, kb_relative_information_score: 26374.5423, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9436, predictive_accuracy: 0.944, prior_entropy: 0.863, recall: 0.944, relative_absolute_error: 0.2449, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4583, scimark_benchmark: 1274.5838, usercpu_time_millis: 2074.672, usercpu_time_millis_testing: 21.814, usercpu_time_millis_training: 2052.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9458, kappa: 0.8659, kb_relative_information_score: 25782.7226, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.946, predictive_accuracy: 0.9463, prior_entropy: 0.863, recall: 0.9463, relative_absolute_error: 0.2727, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.4551, scimark_benchmark: 1261.4163, usercpu_time_millis: 587.652, usercpu_time_millis_testing: 24.385, usercpu_time_millis_training: 563.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9566, kappa: 0.8932, kb_relative_information_score: 27509.7538, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9566, predictive_accuracy: 0.9569, prior_entropy: 0.863, recall: 0.9569, relative_absolute_error: 0.2184, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.185, root_relative_squared_error: 0.4096, scimark_benchmark: 1288.1224, usercpu_time_millis: 64.952, usercpu_time_millis_testing: 3.665, usercpu_time_millis_training: 61.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9628, kappa: 0.9086, kb_relative_information_score: 28565.6526, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9628, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.1844, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.3802, scimark_benchmark: 1257.5864, usercpu_time_millis: 1823.27, usercpu_time_millis_testing: 80.771, usercpu_time_millis_training: 1742.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9393, kappa: 0.8496, kb_relative_information_score: 25224.1901, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9396, predictive_accuracy: 0.94, prior_entropy: 0.863, recall: 0.94, relative_absolute_error: 0.2876, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.475, scimark_benchmark: 1250.6461, usercpu_time_millis: 1116.763, usercpu_time_millis_testing: 29.213, usercpu_time_millis_training: 1087.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9535, kappa: 0.886, kb_relative_information_score: 27497.639, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.2127, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.4247, scimark_benchmark: 1188.0714, usercpu_time_millis: 1337.115, usercpu_time_millis_testing: 22.437, usercpu_time_millis_training: 1314.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9643, kappa: 0.9124, kb_relative_information_score: 29002.9359, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.1691, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.3726, scimark_benchmark: 1256.9328, usercpu_time_millis: 3765.069, usercpu_time_millis_testing: 67.412, usercpu_time_millis_training: 3697.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.937, kappa: 0.8442, kb_relative_information_score: 25540.3179, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9372, predictive_accuracy: 0.9376, prior_entropy: 0.863, recall: 0.9376, relative_absolute_error: 0.2718, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.48, scimark_benchmark: 1238.9199, usercpu_time_millis: 6246.5, usercpu_time_millis_testing: 73.929, usercpu_time_millis_training: 6172.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9557, kappa: 0.8904, kb_relative_information_score: 25402.7908, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9561, predictive_accuracy: 0.9562, prior_entropy: 0.863, recall: 0.9562, relative_absolute_error: 0.298, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4385, scimark_benchmark: 1261.3504, usercpu_time_millis: 912.214, usercpu_time_millis_testing: 63.009, usercpu_time_millis_training: 849.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9687, kappa: 0.9232, kb_relative_information_score: 29278.1188, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9687, predictive_accuracy: 0.9688, prior_entropy: 0.863, recall: 0.9688, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.3494, scimark_benchmark: 1254.8954, usercpu_time_millis: 786.138, usercpu_time_millis_testing: 29.131, usercpu_time_millis_training: 757.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9552, kappa: 0.8902, kb_relative_information_score: 27768.0973, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9553, prior_entropy: 0.863, recall: 0.9553, relative_absolute_error: 0.2047, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.187, root_relative_squared_error: 0.4139, scimark_benchmark: 1283.2191, usercpu_time_millis: 992.736, usercpu_time_millis_testing: 12.037, usercpu_time_millis_training: 980.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9553, kappa: 0.8902, kb_relative_information_score: 27629.6233, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9553, prior_entropy: 0.863, recall: 0.9553, relative_absolute_error: 0.2097, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.188, root_relative_squared_error: 0.4161, scimark_benchmark: 1258.9647, usercpu_time_millis: 2473.42, usercpu_time_millis_testing: 42.117, usercpu_time_millis_training: 2431.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.966, kappa: 0.9164, kb_relative_information_score: 29256.9879, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3603, scimark_benchmark: 1276.4215, usercpu_time_millis: 3174.517, usercpu_time_millis_testing: 64.102, usercpu_time_millis_training: 3110.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9584, kappa: 0.8978, kb_relative_information_score: 28228.6124, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9583, predictive_accuracy: 0.9584, prior_entropy: 0.863, recall: 0.9584, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.3988, scimark_benchmark: 1270.2762, usercpu_time_millis: 6635.79, usercpu_time_millis_testing: 67.15, usercpu_time_millis_training: 6568.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9581, kappa: 0.8971, kb_relative_information_score: 28168.2688, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.958, predictive_accuracy: 0.9581, prior_entropy: 0.863, recall: 0.9581, relative_absolute_error: 0.1932, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.4003, scimark_benchmark: 1259.7848, usercpu_time_millis: 5855.026, usercpu_time_millis_testing: 89.771, usercpu_time_millis_training: 5765.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9692, kappa: 0.9245, kb_relative_information_score: 29786.0706, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9692, predictive_accuracy: 0.9693, prior_entropy: 0.863, recall: 0.9693, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.342, scimark_benchmark: 1274.6968, usercpu_time_millis: 984.857, usercpu_time_millis_testing: 19.383, usercpu_time_millis_training: 965.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9584, kappa: 0.8978, kb_relative_information_score: 28073.6734, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9583, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.197, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.4012, scimark_benchmark: 1254.7654, usercpu_time_millis: 2419.434, usercpu_time_millis_testing: 66.736, usercpu_time_millis_training: 2352.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9252, kappa: 0.812, kb_relative_information_score: 18726.7401, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9302, predictive_accuracy: 0.9277, prior_entropy: 0.863, recall: 0.9277, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.5923, scimark_benchmark: 1253.3756, usercpu_time_millis: 657.408, usercpu_time_millis_testing: 47.507, usercpu_time_millis_training: 609.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9612, kappa: 0.9047, kb_relative_information_score: 28784.7174, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9612, prior_entropy: 0.863, recall: 0.9612, relative_absolute_error: 0.1745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3841, scimark_benchmark: 1258.632, usercpu_time_millis: 195.081, usercpu_time_millis_testing: 5.793, usercpu_time_millis_training: 189.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9631, kappa: 0.9093, kb_relative_information_score: 28900.5264, mean_absolute_error: 0.0702, 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: 0.1721, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.3767, scimark_benchmark: 1283.1287, usercpu_time_millis: 584.353, usercpu_time_millis_testing: 11.561, usercpu_time_millis_training: 572.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9189, kappa: 0.7964, kb_relative_information_score: 22954.8911, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9231, predictive_accuracy: 0.9215, prior_entropy: 0.863, recall: 0.9215, relative_absolute_error: 0.3625, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.5276, scimark_benchmark: 1262.0593, usercpu_time_millis: 627.343, usercpu_time_millis_testing: 14.684, usercpu_time_millis_training: 612.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9533, kappa: 0.8853, kb_relative_information_score: 27387.9238, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9532, predictive_accuracy: 0.9534, prior_entropy: 0.863, recall: 0.9534, relative_absolute_error: 0.2171, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.4256, scimark_benchmark: 1257.5417, usercpu_time_millis: 481.675, usercpu_time_millis_testing: 15.399, usercpu_time_millis_training: 466.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9536, kappa: 0.8855, kb_relative_information_score: 26058.9452, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9538, predictive_accuracy: 0.954, prior_entropy: 0.863, recall: 0.954, relative_absolute_error: 0.2696, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4358, scimark_benchmark: 1277.0868, usercpu_time_millis: 1739.525, usercpu_time_millis_testing: 75.786, usercpu_time_millis_training: 1663.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9457, kappa: 0.8654, kb_relative_information_score: 25059.8916, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9461, predictive_accuracy: 0.9463, prior_entropy: 0.863, recall: 0.9463, relative_absolute_error: 0.3002, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.4643, scimark_benchmark: 1249.1961, usercpu_time_millis: 1058.124, usercpu_time_millis_testing: 47.499, usercpu_time_millis_training: 1010.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.913, kappa: 0.7812, kb_relative_information_score: 16458.9698, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9177, predictive_accuracy: 0.916, prior_entropy: 0.863, recall: 0.916, relative_absolute_error: 0.5711, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.6455, scimark_benchmark: 1259.4269, usercpu_time_millis: 723.571, usercpu_time_millis_testing: 48.637, usercpu_time_millis_training: 674.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8713, kappa: 0.6852, kb_relative_information_score: 16481.6942, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8715, predictive_accuracy: 0.8711, prior_entropy: 0.863, recall: 0.8711, relative_absolute_error: 0.547, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.669, scimark_benchmark: 1251.8788, usercpu_time_millis: 58.407, usercpu_time_millis_testing: 3.126, usercpu_time_millis_training: 55.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9347, kappa: 0.8383, kb_relative_information_score: 25274.6118, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.935, predictive_accuracy: 0.9355, prior_entropy: 0.863, recall: 0.9355, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.4868, scimark_benchmark: 1263.7922, usercpu_time_millis: 5327.762, usercpu_time_millis_testing: 65.511, usercpu_time_millis_training: 5262.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.957, kappa: 0.8939, kb_relative_information_score: 26888.7869, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9571, predictive_accuracy: 0.9573, prior_entropy: 0.863, recall: 0.9573, relative_absolute_error: 0.2428, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.4147, scimark_benchmark: 1255.0039, usercpu_time_millis: 1737.92, usercpu_time_millis_testing: 90.475, usercpu_time_millis_training: 1647.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.964, kappa: 0.9115, kb_relative_information_score: 28956.1949, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.1704, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.3733, scimark_benchmark: 1259.3145, usercpu_time_millis: 2188.153, usercpu_time_millis_testing: 34.539, usercpu_time_millis_training: 2153.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9364, kappa: 0.8425, kb_relative_information_score: 25701.0701, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9366, predictive_accuracy: 0.9371, prior_entropy: 0.863, recall: 0.9371, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.4799, scimark_benchmark: 1294.0001, usercpu_time_millis: 6570.442, usercpu_time_millis_testing: 47.962, usercpu_time_millis_training: 6522.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9457, kappa: 0.8663, kb_relative_information_score: 26633.3749, mean_absolute_error: 0.0976, 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: 0.2392, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.4485, scimark_benchmark: 1244.331, usercpu_time_millis: 3422.066, usercpu_time_millis_testing: 85.791, usercpu_time_millis_training: 3336.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9604, kappa: 0.9027, kb_relative_information_score: 28567.5635, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9603, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3897, scimark_benchmark: 1245.6569, usercpu_time_millis: 1562.791, usercpu_time_millis_testing: 21.302, usercpu_time_millis_training: 1541.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9331, kappa: 0.8339, kb_relative_information_score: 24937.01, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9338, predictive_accuracy: 0.9341, prior_entropy: 0.863, recall: 0.9341, relative_absolute_error: 0.2919, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.494, scimark_benchmark: 1258.8226, usercpu_time_millis: 4612.488, usercpu_time_millis_testing: 59.085, usercpu_time_millis_training: 4553.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9531, kappa: 0.8849, kb_relative_information_score: 27372.0315, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9531, predictive_accuracy: 0.9532, prior_entropy: 0.863, recall: 0.9532, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.4263, scimark_benchmark: 1260.9014, usercpu_time_millis: 309.768, usercpu_time_millis_testing: 6.702, usercpu_time_millis_training: 303.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9436, kappa: 0.8611, kb_relative_information_score: 26488.231, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9435, predictive_accuracy: 0.9438, prior_entropy: 0.863, recall: 0.9438, relative_absolute_error: 0.2411, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.4565, scimark_benchmark: 1262.4997, usercpu_time_millis: 9805.457, usercpu_time_millis_testing: 81.95, usercpu_time_millis_training: 9723.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.959, kappa: 0.8993, kb_relative_information_score: 28139.2823, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.1953, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.3979, scimark_benchmark: 1279.9143, usercpu_time_millis: 221.48, usercpu_time_millis_testing: 5.843, usercpu_time_millis_training: 215.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.94, kappa: 0.8515, kb_relative_information_score: 24930.3463, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9404, predictive_accuracy: 0.9408, prior_entropy: 0.863, recall: 0.9408, relative_absolute_error: 0.2993, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.4764, scimark_benchmark: 1255.7624, usercpu_time_millis: 152.231, usercpu_time_millis_testing: 8.394, usercpu_time_millis_training: 143.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9423, kappa: 0.8573, kb_relative_information_score: 25613.8823, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9426, predictive_accuracy: 0.9429, prior_entropy: 0.863, recall: 0.9429, relative_absolute_error: 0.2759, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.4635, scimark_benchmark: 1242.5859, usercpu_time_millis: 2504.761, usercpu_time_millis_testing: 78.151, usercpu_time_millis_training: 2426.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9249, kappa: 0.812, kb_relative_information_score: 24539.6657, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9276, predictive_accuracy: 0.9269, prior_entropy: 0.863, recall: 0.9269, relative_absolute_error: 0.3036, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.5049, scimark_benchmark: 1250.9578, usercpu_time_millis: 1225.868, usercpu_time_millis_testing: 29.095, usercpu_time_millis_training: 1196.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9296, kappa: 0.8245, kb_relative_information_score: 23404.7056, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.931, predictive_accuracy: 0.931, prior_entropy: 0.863, recall: 0.931, relative_absolute_error: 0.3496, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.5109, scimark_benchmark: 1279.4596, usercpu_time_millis: 729.143, usercpu_time_millis_testing: 19.403, usercpu_time_millis_training: 709.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9433, kappa: 0.8595, kb_relative_information_score: 24989.611, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9437, predictive_accuracy: 0.9439, prior_entropy: 0.863, recall: 0.9439, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4694, scimark_benchmark: 1282.3172, usercpu_time_millis: 293.653, usercpu_time_millis_testing: 13.449, usercpu_time_millis_training: 280.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9637, kappa: 0.9108, kb_relative_information_score: 28754.1479, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.1781, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.3753, scimark_benchmark: 1252.7395, usercpu_time_millis: 2388.269, usercpu_time_millis_testing: 84.55, usercpu_time_millis_training: 2303.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9632, kappa: 0.9096, kb_relative_information_score: 28814.2042, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.377, scimark_benchmark: 1292.2107, usercpu_time_millis: 3734.521, usercpu_time_millis_testing: 94.754, usercpu_time_millis_training: 3639.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9674, kappa: 0.92, kb_relative_information_score: 29501.6445, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1544, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3529, scimark_benchmark: 1270.0532, usercpu_time_millis: 976.247, usercpu_time_millis_testing: 16.523, usercpu_time_millis_training: 959.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9603, kappa: 0.9024, kb_relative_information_score: 28443.8761, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9604, prior_entropy: 0.863, recall: 0.9604, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.177, root_relative_squared_error: 0.3919, scimark_benchmark: 1280.8553, usercpu_time_millis: 334.67, usercpu_time_millis_testing: 9.874, usercpu_time_millis_training: 324.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9653, kappa: 0.9148, kb_relative_information_score: 29262.313, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9652, predictive_accuracy: 0.9653, prior_entropy: 0.863, recall: 0.9653, relative_absolute_error: 0.1611, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.3633, scimark_benchmark: 1295.1578, usercpu_time_millis: 3260.737, usercpu_time_millis_testing: 52.692, usercpu_time_millis_training: 3208.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9619, kappa: 0.9064, kb_relative_information_score: 28826.5703, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9619, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.1738, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.3809, scimark_benchmark: 1290.3592, usercpu_time_millis: 437.734, usercpu_time_millis_testing: 8.12, usercpu_time_millis_training: 429.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9529, kappa: 0.8836, kb_relative_information_score: 25450.0532, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9532, predictive_accuracy: 0.9534, prior_entropy: 0.863, recall: 0.9534, relative_absolute_error: 0.2914, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4471, scimark_benchmark: 1271.2131, usercpu_time_millis: 1264.616, usercpu_time_millis_testing: 67.628, usercpu_time_millis_training: 1196.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9599, kappa: 0.9016, kb_relative_information_score: 28520.5266, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.96, prior_entropy: 0.863, recall: 0.96, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3906, scimark_benchmark: 1286.448, usercpu_time_millis: 685.238, usercpu_time_millis_testing: 9.567, usercpu_time_millis_training: 675.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9374, kappa: 0.845, kb_relative_information_score: 25465.8654, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9376, predictive_accuracy: 0.9381, prior_entropy: 0.863, recall: 0.9381, relative_absolute_error: 0.2752, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.4791, scimark_benchmark: 1262.7094, usercpu_time_millis: 601.652, usercpu_time_millis_testing: 12.387, usercpu_time_millis_training: 589.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8745, kappa: 0.6935, kb_relative_information_score: 17699.1223, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.875, predictive_accuracy: 0.8741, prior_entropy: 0.863, recall: 0.8741, relative_absolute_error: 0.5085, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.6488, scimark_benchmark: 1263.6293, usercpu_time_millis: 1507.64, usercpu_time_millis_testing: 53.284, usercpu_time_millis_training: 1454.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9387, kappa: 0.8484, kb_relative_information_score: 26007.0543, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9388, predictive_accuracy: 0.9393, prior_entropy: 0.863, recall: 0.9393, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.4696, scimark_benchmark: 1285.6433, usercpu_time_millis: 1683.731, usercpu_time_millis_testing: 32.871, usercpu_time_millis_training: 1650.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9653, kappa: 0.9147, kb_relative_information_score: 29190.5689, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9652, predictive_accuracy: 0.9653, prior_entropy: 0.863, recall: 0.9653, relative_absolute_error: 0.1636, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.3651, scimark_benchmark: 1263.79, usercpu_time_millis: 2264.754, usercpu_time_millis_testing: 50.282, usercpu_time_millis_training: 2214.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9246, kappa: 0.8104, kb_relative_information_score: 18657.9022, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9295, predictive_accuracy: 0.9271, prior_entropy: 0.863, recall: 0.9271, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.594, scimark_benchmark: 1297.1544, usercpu_time_millis: 772.585, usercpu_time_millis_testing: 60.087, usercpu_time_millis_training: 712.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9389, kappa: 0.8488, kb_relative_information_score: 25376.0174, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9392, predictive_accuracy: 0.9396, prior_entropy: 0.863, recall: 0.9396, relative_absolute_error: 0.2809, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.4754, scimark_benchmark: 1252.9595, usercpu_time_millis: 2137.141, usercpu_time_millis_testing: 55.823, usercpu_time_millis_training: 2081.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9315, kappa: 0.8297, kb_relative_information_score: 24968.4375, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9325, predictive_accuracy: 0.9327, prior_entropy: 0.863, recall: 0.9327, relative_absolute_error: 0.2888, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.4974, scimark_benchmark: 1262.5273, usercpu_time_millis: 995.586, usercpu_time_millis_testing: 13.391, usercpu_time_millis_training: 982.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9433, kappa: 0.8597, kb_relative_information_score: 25604.7662, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9436, predictive_accuracy: 0.9439, prior_entropy: 0.863, recall: 0.9439, relative_absolute_error: 0.2774, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.4617, scimark_benchmark: 1275.9686, usercpu_time_millis: 2584.059, usercpu_time_millis_testing: 72.179, usercpu_time_millis_training: 2511.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9644, kappa: 0.9125, kb_relative_information_score: 28929.9228, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9645, prior_entropy: 0.863, recall: 0.9645, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.3696, scimark_benchmark: 1280.3392, usercpu_time_millis: 4506.943, usercpu_time_millis_testing: 80.695, usercpu_time_millis_training: 4426.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9434, kappa: 0.8603, kb_relative_information_score: 26172.2433, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9434, predictive_accuracy: 0.9438, prior_entropy: 0.863, recall: 0.9438, relative_absolute_error: 0.2543, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4582, scimark_benchmark: 1262.0816, usercpu_time_millis: 2293.627, usercpu_time_millis_testing: 76.464, usercpu_time_millis_training: 2217.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9455, kappa: 0.8656, kb_relative_information_score: 26459.3072, mean_absolute_error: 0.1001, 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: 0.2453, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.4506, scimark_benchmark: 1298.5081, usercpu_time_millis: 2193.102, usercpu_time_millis_testing: 47.417, usercpu_time_millis_training: 2145.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.954, kappa: 0.8871, kb_relative_information_score: 27656.7778, mean_absolute_error: 0.085, 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: 0.2083, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.4192, scimark_benchmark: 1295.1854, usercpu_time_millis: 1743.534, usercpu_time_millis_testing: 30.536, usercpu_time_millis_training: 1712.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9638, kappa: 0.9111, kb_relative_information_score: 28926.465, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.9639, prior_entropy: 0.863, recall: 0.9639, relative_absolute_error: 0.1712, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.3755, scimark_benchmark: 1267.5046, usercpu_time_millis: 1940.804, usercpu_time_millis_testing: 32.778, usercpu_time_millis_training: 1908.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9393, kappa: 0.8497, kb_relative_information_score: 25198.2509, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9397, predictive_accuracy: 0.9401, prior_entropy: 0.863, recall: 0.9401, relative_absolute_error: 0.2885, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.215, root_relative_squared_error: 0.476, scimark_benchmark: 1292.7583, usercpu_time_millis: 299.471, usercpu_time_millis_testing: 8.51, usercpu_time_millis_training: 290.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9476, kappa: 0.8708, kb_relative_information_score: 26303.2933, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9476, predictive_accuracy: 0.948, prior_entropy: 0.863, recall: 0.948, relative_absolute_error: 0.2536, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.447, scimark_benchmark: 1284.7415, usercpu_time_millis: 2064.314, usercpu_time_millis_testing: 49.891, usercpu_time_millis_training: 2014.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9255, kappa: 0.8126, kb_relative_information_score: 18758.4579, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9306, predictive_accuracy: 0.928, prior_entropy: 0.863, recall: 0.928, relative_absolute_error: 0.5161, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2671, root_relative_squared_error: 0.5912, scimark_benchmark: 1262.0409, usercpu_time_millis: 725.334, usercpu_time_millis_testing: 62.796, usercpu_time_millis_training: 662.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9364, kappa: 0.8421, kb_relative_information_score: 23194.5299, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9372, predictive_accuracy: 0.9374, prior_entropy: 0.863, recall: 0.9374, relative_absolute_error: 0.3578, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.509, scimark_benchmark: 1303.6256, usercpu_time_millis: 55.16, usercpu_time_millis_testing: 5.338, usercpu_time_millis_training: 49.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9602, kappa: 0.9024, kb_relative_information_score: 28447.0826, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.1852, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.3908, scimark_benchmark: 1289.326, usercpu_time_millis: 1380.156, usercpu_time_millis_testing: 20.284, usercpu_time_millis_training: 1359.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9564, kappa: 0.8931, kb_relative_information_score: 28006.8544, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9564, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1976, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.184, root_relative_squared_error: 0.4073, scimark_benchmark: 1274.3345, usercpu_time_millis: 5863.5, usercpu_time_millis_testing: 83.797, usercpu_time_millis_training: 5779.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9264, kappa: 0.8163, kb_relative_information_score: 23618.7002, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9283, predictive_accuracy: 0.9281, prior_entropy: 0.863, recall: 0.9281, relative_absolute_error: 0.3402, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.5124, scimark_benchmark: 1310.7663, usercpu_time_millis: 853.825, usercpu_time_millis_testing: 42.573, usercpu_time_millis_training: 811.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9492, kappa: 0.8743, kb_relative_information_score: 25279.7429, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9495, predictive_accuracy: 0.9497, prior_entropy: 0.863, recall: 0.9497, relative_absolute_error: 0.2941, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.4564, scimark_benchmark: 1265.1532, usercpu_time_millis: 98.923, usercpu_time_millis_testing: 5.409, usercpu_time_millis_training: 93.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9304, kappa: 0.8268, kb_relative_information_score: 22068.937, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9315, predictive_accuracy: 0.9316, prior_entropy: 0.863, recall: 0.9316, relative_absolute_error: 0.3951, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.5306, scimark_benchmark: 1301.7854, usercpu_time_millis: 1521.983, usercpu_time_millis_testing: 67.238, usercpu_time_millis_training: 1454.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.8726, kappa: 0.6887, kb_relative_information_score: 17729.2903, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.873, predictive_accuracy: 0.8722, prior_entropy: 0.863, recall: 0.8722, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.655, scimark_benchmark: 1258.8733, usercpu_time_millis: 1356.027, usercpu_time_millis_testing: 51.777, usercpu_time_millis_training: 1304.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9373, kappa: 0.8446, kb_relative_information_score: 24899.77, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9378, predictive_accuracy: 0.9382, prior_entropy: 0.863, recall: 0.9382, relative_absolute_error: 0.2988, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4825, scimark_benchmark: 1258.9513, usercpu_time_millis: 406.353, usercpu_time_millis_testing: 20.031, usercpu_time_millis_training: 386.322,

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