OpenML
Supervised Classification on electricity

Supervised Classification on electricity

Task 219 Supervised Classification electricity 77718 runs submitted
0 likes downloaded by 2 people , 3 total downloads 0 issues
Visibility: Public
  • at2 mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

77718 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: 0.9655, f_measure: 0.9, kappa: 0.7952, kb_relative_information_score: 30039.6423, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9, predictive_accuracy: 0.9001, prior_entropy: 0.9835, recall: 0.9001, relative_absolute_error: 0.3647, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.5548, scimark_benchmark: 1327.2857, usercpu_time_millis: 1657.804, usercpu_time_millis_testing: 41.612, usercpu_time_millis_training: 1616.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.8151, kappa: 0.6208, kb_relative_information_score: 21037.4568, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.815, predictive_accuracy: 0.8156, prior_entropy: 0.9835, recall: 0.8156, relative_absolute_error: 0.5653, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7316, scimark_benchmark: 1331.6389, usercpu_time_millis: 128.858, usercpu_time_millis_testing: 6.315, usercpu_time_millis_training: 122.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8447, kappa: 0.681, kb_relative_information_score: 21034.2317, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8454, predictive_accuracy: 0.8456, prior_entropy: 0.9835, recall: 0.8456, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.6959, scimark_benchmark: 1328.5182, usercpu_time_millis: 41.965, usercpu_time_millis_testing: 2.895, usercpu_time_millis_training: 39.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8063, kappa: 0.6023, kb_relative_information_score: 19536.4322, mean_absolute_error: 0.2932, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8063, predictive_accuracy: 0.807, prior_entropy: 0.9835, recall: 0.807, relative_absolute_error: 0.6001, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7522, scimark_benchmark: 1330.6109, usercpu_time_millis: 594.311, usercpu_time_millis_testing: 26.498, usercpu_time_millis_training: 567.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.8819, kappa: 0.7581, kb_relative_information_score: 27703.5795, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8819, predictive_accuracy: 0.8821, prior_entropy: 0.9835, recall: 0.8821, relative_absolute_error: 0.4175, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.6013, scimark_benchmark: 1308.3698, usercpu_time_millis: 2276.884, usercpu_time_millis_testing: 67.625, usercpu_time_millis_training: 2209.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.8223, kappa: 0.6349, kb_relative_information_score: 21164.5346, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.823, predictive_accuracy: 0.8234, prior_entropy: 0.9835, recall: 0.8234, relative_absolute_error: 0.5654, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7175, scimark_benchmark: 1317.4373, usercpu_time_millis: 1957.984, usercpu_time_millis_testing: 102.091, usercpu_time_millis_training: 1855.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8355, kappa: 0.6623, kb_relative_information_score: 22920.0233, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8356, predictive_accuracy: 0.8361, prior_entropy: 0.9835, recall: 0.8361, relative_absolute_error: 0.5248, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.341, root_relative_squared_error: 0.69, scimark_benchmark: 1304.497, usercpu_time_millis: 2217.887, usercpu_time_millis_testing: 112.865, usercpu_time_millis_training: 2105.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.813, kappa: 0.6166, kb_relative_information_score: 21472.7242, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8129, predictive_accuracy: 0.8135, prior_entropy: 0.9835, recall: 0.8135, relative_absolute_error: 0.5536, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.73, scimark_benchmark: 1309.787, usercpu_time_millis: 1738.25, usercpu_time_millis_testing: 65.879, usercpu_time_millis_training: 1672.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9098, kappa: 0.8153, kb_relative_information_score: 30933.5736, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9098, predictive_accuracy: 0.9099, prior_entropy: 0.9835, recall: 0.9099, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.5332, scimark_benchmark: 1316.2113, usercpu_time_millis: 365.929, usercpu_time_millis_testing: 12.127, usercpu_time_millis_training: 353.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8148, kappa: 0.6203, kb_relative_information_score: 21017.2113, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8147, predictive_accuracy: 0.8152, prior_entropy: 0.9835, recall: 0.8152, relative_absolute_error: 0.5655, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.7328, scimark_benchmark: 1328.777, usercpu_time_millis: 1009.426, usercpu_time_millis_testing: 46.346, usercpu_time_millis_training: 963.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.8139, kappa: 0.617, kb_relative_information_score: 19676.3275, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8164, predictive_accuracy: 0.8159, prior_entropy: 0.9835, recall: 0.8159, relative_absolute_error: 0.6009, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7356, scimark_benchmark: 1309.1879, usercpu_time_millis: 1264.042, usercpu_time_millis_testing: 88.37, usercpu_time_millis_training: 1175.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.8714, kappa: 0.7363, kb_relative_information_score: 26474.7011, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8714, predictive_accuracy: 0.8717, prior_entropy: 0.9835, recall: 0.8717, relative_absolute_error: 0.4468, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.6215, scimark_benchmark: 1329.9012, usercpu_time_millis: 358.967, usercpu_time_millis_testing: 19.061, usercpu_time_millis_training: 339.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8147, kappa: 0.6197, kb_relative_information_score: 21824.4052, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8147, predictive_accuracy: 0.8153, prior_entropy: 0.9835, recall: 0.8153, relative_absolute_error: 0.5454, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7238, scimark_benchmark: 1319.1739, usercpu_time_millis: 2403.911, usercpu_time_millis_testing: 76.805, usercpu_time_millis_training: 2327.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8207, kappa: 0.6315, kb_relative_information_score: 20830.7279, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8216, predictive_accuracy: 0.8219, prior_entropy: 0.9835, recall: 0.8219, relative_absolute_error: 0.5729, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7232, scimark_benchmark: 1319.145, usercpu_time_millis: 403.876, usercpu_time_millis_testing: 21.628, usercpu_time_millis_training: 382.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.836, kappa: 0.6635, kb_relative_information_score: 23438.4745, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.836, predictive_accuracy: 0.8364, prior_entropy: 0.9835, recall: 0.8364, relative_absolute_error: 0.5115, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6874, scimark_benchmark: 1329.4421, usercpu_time_millis: 1499.222, usercpu_time_millis_testing: 80.249, usercpu_time_millis_training: 1418.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.8477, kappa: 0.6875, kb_relative_information_score: 24299.2741, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8479, predictive_accuracy: 0.8483, prior_entropy: 0.9835, recall: 0.8483, relative_absolute_error: 0.4944, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.328, root_relative_squared_error: 0.6636, scimark_benchmark: 1327.8374, usercpu_time_millis: 992.023, usercpu_time_millis_testing: 56.365, usercpu_time_millis_training: 935.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8315, kappa: 0.6542, kb_relative_information_score: 23033.4397, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8315, predictive_accuracy: 0.832, prior_entropy: 0.9835, recall: 0.832, relative_absolute_error: 0.5196, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6957, scimark_benchmark: 1325.2978, usercpu_time_millis: 1342.715, usercpu_time_millis_testing: 60.968, usercpu_time_millis_training: 1281.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8355, kappa: 0.6622, kb_relative_information_score: 22273.528, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8362, predictive_accuracy: 0.8364, prior_entropy: 0.9835, recall: 0.8364, relative_absolute_error: 0.543, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.6914, scimark_benchmark: 1318.7553, usercpu_time_millis: 2140.787, usercpu_time_millis_testing: 108.237, usercpu_time_millis_training: 2032.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.8972, kappa: 0.7894, kb_relative_information_score: 29415.8997, mean_absolute_error: 0.1856, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8972, predictive_accuracy: 0.8974, prior_entropy: 0.9835, recall: 0.8974, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2787, root_relative_squared_error: 0.5638, scimark_benchmark: 1320.9701, usercpu_time_millis: 1091.698, usercpu_time_millis_testing: 32.74, usercpu_time_millis_training: 1058.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8337, kappa: 0.6585, kb_relative_information_score: 22493.3278, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.834, predictive_accuracy: 0.8345, prior_entropy: 0.9835, recall: 0.8345, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.343, root_relative_squared_error: 0.694, scimark_benchmark: 1316.9789, usercpu_time_millis: 1620.877, usercpu_time_millis_testing: 92.552, usercpu_time_millis_training: 1528.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.7823, kappa: 0.5522, kb_relative_information_score: 17065.3677, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7927, predictive_accuracy: 0.7877, prior_entropy: 0.9835, recall: 0.7877, relative_absolute_error: 0.6597, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.383, root_relative_squared_error: 0.775, scimark_benchmark: 1329.4007, usercpu_time_millis: 727.295, usercpu_time_millis_testing: 51.167, usercpu_time_millis_training: 676.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9266, kappa: 0.8498, kb_relative_information_score: 33600.0695, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9266, predictive_accuracy: 0.9267, prior_entropy: 0.9835, recall: 0.9267, relative_absolute_error: 0.2823, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.238, root_relative_squared_error: 0.4816, scimark_benchmark: 1325.0044, usercpu_time_millis: 889.008, usercpu_time_millis_testing: 25.394, usercpu_time_millis_training: 863.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8541, kappa: 0.7009, kb_relative_information_score: 25170.0936, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8542, predictive_accuracy: 0.8545, prior_entropy: 0.9835, recall: 0.8545, relative_absolute_error: 0.4738, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.322, root_relative_squared_error: 0.6516, scimark_benchmark: 1325.3249, usercpu_time_millis: 2439.04, usercpu_time_millis_testing: 120.055, usercpu_time_millis_training: 2318.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.7796, kappa: 0.5467, kb_relative_information_score: 16835.7714, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7908, predictive_accuracy: 0.7853, prior_entropy: 0.9835, recall: 0.7853, relative_absolute_error: 0.6651, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.778, scimark_benchmark: 1328.9123, usercpu_time_millis: 945.319, usercpu_time_millis_testing: 63.33, usercpu_time_millis_training: 881.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.8447, kappa: 0.6814, kb_relative_information_score: 24202.3849, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8448, predictive_accuracy: 0.8452, prior_entropy: 0.9835, recall: 0.8452, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.6687, scimark_benchmark: 1305.6675, usercpu_time_millis: 2384.671, usercpu_time_millis_testing: 100.318, usercpu_time_millis_training: 2284.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.8866, kappa: 0.7676, kb_relative_information_score: 28193.6037, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8865, predictive_accuracy: 0.8867, prior_entropy: 0.9835, recall: 0.8867, relative_absolute_error: 0.4074, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.5893, scimark_benchmark: 1323.057, usercpu_time_millis: 1416.795, usercpu_time_millis_testing: 53.907, usercpu_time_millis_training: 1362.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.8628, kappa: 0.7188, kb_relative_information_score: 26517.0349, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8627, predictive_accuracy: 0.863, prior_entropy: 0.9835, recall: 0.863, relative_absolute_error: 0.441, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6341, scimark_benchmark: 1304.9169, usercpu_time_millis: 1079.027, usercpu_time_millis_testing: 28.321, usercpu_time_millis_training: 1050.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.8405, kappa: 0.6725, kb_relative_information_score: 22833.0399, mean_absolute_error: 0.2592, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.841, predictive_accuracy: 0.8413, prior_entropy: 0.9835, recall: 0.8413, relative_absolute_error: 0.5305, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.6815, scimark_benchmark: 1321.3727, usercpu_time_millis: 1676.306, usercpu_time_millis_testing: 99.163, usercpu_time_millis_training: 1577.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7569, kappa: 0.4997, kb_relative_information_score: 15900.113, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7624, predictive_accuracy: 0.7615, prior_entropy: 0.9835, recall: 0.7615, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1302.6043, usercpu_time_millis: 5215.641, usercpu_time_millis_testing: 26.93, usercpu_time_millis_training: 5188.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7569, kappa: 0.4996, kb_relative_information_score: 15889.1309, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7624, predictive_accuracy: 0.7615, prior_entropy: 0.9835, recall: 0.7615, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1324.5643, usercpu_time_millis: 6862.429, usercpu_time_millis_testing: 25.411, usercpu_time_millis_training: 6837.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7814, kappa: 0.5503, kb_relative_information_score: 18740.8844, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7841, predictive_accuracy: 0.7841, prior_entropy: 0.9835, recall: 0.7841, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.7851, scimark_benchmark: 1323.6482, usercpu_time_millis: 8977.355, usercpu_time_millis_testing: 51.374, usercpu_time_millis_training: 8925.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7568, kappa: 0.4994, kb_relative_information_score: 15879.1798, mean_absolute_error: 0.3314, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7623, predictive_accuracy: 0.7614, prior_entropy: 0.9835, recall: 0.7614, relative_absolute_error: 0.6782, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1292.6311, usercpu_time_millis: 6078.511, usercpu_time_millis_testing: 25.048, usercpu_time_millis_training: 6053.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.7778, kappa: 0.5428, kb_relative_information_score: 18024.6977, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7802, predictive_accuracy: 0.7804, prior_entropy: 0.9835, recall: 0.7804, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.7926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, f_measure: 0.6856, kappa: 0.3642, kb_relative_information_score: 9811.7583, mean_absolute_error: 0.3955, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7286, predictive_accuracy: 0.7081, prior_entropy: 0.9835, recall: 0.7081, relative_absolute_error: 0.8094, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.8848, scimark_benchmark: 1284.1318, usercpu_time_millis: 7119.939, usercpu_time_millis_testing: 44.402, usercpu_time_millis_training: 7075.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8338, kappa: 0.6624, kb_relative_information_score: 19954.6239, mean_absolute_error: 0.2901, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8371, predictive_accuracy: 0.833, prior_entropy: 0.9835, recall: 0.833, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7505, scimark_benchmark: 1319.5405, usercpu_time_millis: 13853.122, usercpu_time_millis_testing: 85.727, usercpu_time_millis_training: 13767.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.8549, kappa: 0.7025, kb_relative_information_score: 25379.2029, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8549, predictive_accuracy: 0.8553, prior_entropy: 0.9835, recall: 0.8553, relative_absolute_error: 0.4679, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.6512, scimark_benchmark: 1238.111, usercpu_time_millis: 3291.564, usercpu_time_millis_testing: 91.298, usercpu_time_millis_training: 3200.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.8781, kappa: 0.7501, kb_relative_information_score: 27138.4945, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8781, predictive_accuracy: 0.8783, prior_entropy: 0.9835, recall: 0.8783, relative_absolute_error: 0.4315, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.6086, scimark_benchmark: 1242.7974, usercpu_time_millis: 1468.932, usercpu_time_millis_testing: 58.533, usercpu_time_millis_training: 1410.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8914, kappa: 0.7778, kb_relative_information_score: 0.7755, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8914, predictive_accuracy: 0.8914, prior_entropy: 0.9835, recall: 0.8914, relative_absolute_error: 0.2222, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8278, kappa: 0.646, kb_relative_information_score: 0.3408, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8288, predictive_accuracy: 0.829, prior_entropy: 0.9835, recall: 0.829, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, f_measure: 0.6522, kappa: 0.2842, kb_relative_information_score: 0.2906, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6526, predictive_accuracy: 0.6569, prior_entropy: 0.9835, recall: 0.6569, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5858, root_relative_squared_error: 1.1851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.6887, kappa: 0.3592, kb_relative_information_score: 0.3675, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6912, predictive_accuracy: 0.6941, prior_entropy: 0.9835, recall: 0.6941, relative_absolute_error: 0.6261, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5531, root_relative_squared_error: 1.1191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.891, kappa: 0.777, kb_relative_information_score: 0.7747, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.891, predictive_accuracy: 0.891, prior_entropy: 0.9835, recall: 0.891, relative_absolute_error: 0.223, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.6679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7569, kappa: 0.4997, kb_relative_information_score: 15930.7637, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7624, predictive_accuracy: 0.7615, prior_entropy: 0.9835, recall: 0.7615, relative_absolute_error: 0.6769, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1320.0027, usercpu_time_millis: 5115.152, usercpu_time_millis_testing: 25.844, usercpu_time_millis_training: 5089.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8476, kappa: 0.6873, kb_relative_information_score: 0.5235, mean_absolute_error: 0.2492, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8477, predictive_accuracy: 0.8481, prior_entropy: 0.9835, recall: 0.8481, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.6695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8002, kappa: 0.5889, kb_relative_information_score: 0.3152, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8086, predictive_accuracy: 0.8044, prior_entropy: 0.9835, recall: 0.8044, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.7981, kappa: 0.5844, kb_relative_information_score: 0.3798, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8016, predictive_accuracy: 0.8008, prior_entropy: 0.9835, recall: 0.8008, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.7635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8293, kappa: 0.6488, kb_relative_information_score: 0.4197, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8323, predictive_accuracy: 0.8312, prior_entropy: 0.9835, recall: 0.8312, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.808, kappa: 0.6049, kb_relative_information_score: 17413.8631, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8126, predictive_accuracy: 0.8109, prior_entropy: 0.9835, recall: 0.8109, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7561, scimark_benchmark: 1249.6537, usercpu_time_millis: 1152.795, usercpu_time_millis_testing: 84.816, usercpu_time_millis_training: 1067.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8232, kappa: 0.6366, kb_relative_information_score: 21228.2605, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8241, predictive_accuracy: 0.8244, prior_entropy: 0.9835, recall: 0.8244, relative_absolute_error: 0.564, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7164, scimark_benchmark: 1238.1217, usercpu_time_millis: 932.076, usercpu_time_millis_testing: 64.377, usercpu_time_millis_training: 867.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7767, kappa: 0.5404, kb_relative_information_score: 0.2734, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.785, predictive_accuracy: 0.7816, prior_entropy: 0.9835, recall: 0.7816, relative_absolute_error: 0.7705, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.8004, kappa: 0.5892, kb_relative_information_score: 0.4023, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8036, predictive_accuracy: 0.8029, prior_entropy: 0.9835, recall: 0.8029, relative_absolute_error: 0.6361, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.8218, kappa: 0.634, kb_relative_information_score: 0.4323, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8224, predictive_accuracy: 0.8228, prior_entropy: 0.9835, recall: 0.8228, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.7289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.8804, kappa: 0.7554, kb_relative_information_score: 0.7146, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8805, predictive_accuracy: 0.8804, prior_entropy: 0.9835, recall: 0.8804, relative_absolute_error: 0.2927, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.6409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.8784, kappa: 0.7509, kb_relative_information_score: 0.5936, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8784, predictive_accuracy: 0.8786, prior_entropy: 0.9835, recall: 0.8786, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.6059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.8595, kappa: 0.712, kb_relative_information_score: 0.5779, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8594, predictive_accuracy: 0.8597, prior_entropy: 0.9835, recall: 0.8597, relative_absolute_error: 0.4515, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.914, kappa: 0.824, kb_relative_information_score: 32435.6855, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.914, predictive_accuracy: 0.914, prior_entropy: 0.9835, recall: 0.914, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5158, scimark_benchmark: 1239.3647, usercpu_time_millis: 59.507, usercpu_time_millis_testing: 2.646, usercpu_time_millis_training: 56.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8774, kappa: 0.7488, kb_relative_information_score: 27177.9828, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8774, predictive_accuracy: 0.8776, prior_entropy: 0.9835, recall: 0.8776, relative_absolute_error: 0.4295, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6097, scimark_benchmark: 1233.6763, usercpu_time_millis: 1747.406, usercpu_time_millis_testing: 57.242, usercpu_time_millis_training: 1690.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.8287, kappa: 0.6486, kb_relative_information_score: 22863.3554, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8287, predictive_accuracy: 0.8292, prior_entropy: 0.9835, recall: 0.8292, relative_absolute_error: 0.5228, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.7007, scimark_benchmark: 1245.602, usercpu_time_millis: 1557.399, usercpu_time_millis_testing: 64.652, usercpu_time_millis_training: 1492.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.8966, kappa: 0.7883, kb_relative_information_score: 30107.0787, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8966, predictive_accuracy: 0.8967, prior_entropy: 0.9835, recall: 0.8967, relative_absolute_error: 0.3612, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.5606, scimark_benchmark: 1231.0923, usercpu_time_millis: 67.584, usercpu_time_millis_testing: 2.198, usercpu_time_millis_training: 65.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8606, kappa: 0.7141, kb_relative_information_score: 25627.1708, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8607, predictive_accuracy: 0.861, prior_entropy: 0.9835, recall: 0.861, relative_absolute_error: 0.4652, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6372, scimark_benchmark: 1244.7429, usercpu_time_millis: 659.962, usercpu_time_millis_testing: 33.016, usercpu_time_millis_training: 626.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8454, kappa: 0.6824, kb_relative_information_score: 21144.658, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8462, predictive_accuracy: 0.8463, prior_entropy: 0.9835, recall: 0.8463, relative_absolute_error: 0.5759, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.342, root_relative_squared_error: 0.6919, scimark_benchmark: 1249.7487, usercpu_time_millis: 924.86, usercpu_time_millis_testing: 62.471, usercpu_time_millis_training: 862.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.8548, kappa: 0.7022, kb_relative_information_score: 25413.7435, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8548, predictive_accuracy: 0.8552, prior_entropy: 0.9835, recall: 0.8552, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6468, scimark_benchmark: 1237.3488, usercpu_time_millis: 3093.974, usercpu_time_millis_testing: 118.673, usercpu_time_millis_training: 2975.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8333, kappa: 0.6581, kb_relative_information_score: 23195.993, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8334, predictive_accuracy: 0.8339, prior_entropy: 0.9835, recall: 0.8339, relative_absolute_error: 0.516, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.6926, scimark_benchmark: 1234.8397, usercpu_time_millis: 2591.111, usercpu_time_millis_testing: 112.965, usercpu_time_millis_training: 2478.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8373, kappa: 0.6655, kb_relative_information_score: 20385.0452, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8385, predictive_accuracy: 0.8385, prior_entropy: 0.9835, recall: 0.8385, relative_absolute_error: 0.5923, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7056, scimark_benchmark: 1249.4175, usercpu_time_millis: 1186.185, usercpu_time_millis_testing: 80.729, usercpu_time_millis_training: 1105.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.818, kappa: 0.6256, kb_relative_information_score: 20123.2019, mean_absolute_error: 0.2887, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8201, predictive_accuracy: 0.8197, prior_entropy: 0.9835, recall: 0.8197, relative_absolute_error: 0.5909, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.7287, scimark_benchmark: 1251.6279, usercpu_time_millis: 1293.43, usercpu_time_millis_testing: 98.975, usercpu_time_millis_training: 1194.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8385, kappa: 0.6688, kb_relative_information_score: 0.536, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8385, predictive_accuracy: 0.839, prior_entropy: 0.9835, recall: 0.839, relative_absolute_error: 0.4907, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.6802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.8594, kappa: 0.7116, kb_relative_information_score: 0.5829, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8594, predictive_accuracy: 0.8597, prior_entropy: 0.9835, recall: 0.8597, relative_absolute_error: 0.4434, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8322, kappa: 0.6556, kb_relative_information_score: 22644.9207, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8324, predictive_accuracy: 0.8329, prior_entropy: 0.9835, recall: 0.8329, relative_absolute_error: 0.531, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.695, scimark_benchmark: 1227.0877, usercpu_time_millis: 1484.091, usercpu_time_millis_testing: 81.317, usercpu_time_millis_training: 1402.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9181, kappa: 0.8323, kb_relative_information_score: 0.7246, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9181, predictive_accuracy: 0.9181, prior_entropy: 0.9835, recall: 0.9181, relative_absolute_error: 0.2992, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.5041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.8639, kappa: 0.7213, kb_relative_information_score: 29466.6587, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8639, predictive_accuracy: 0.8641, prior_entropy: 0.9835, recall: 0.8641, relative_absolute_error: 0.3622, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.312, root_relative_squared_error: 0.6312, scimark_benchmark: 1231.456, usercpu_time_millis: 2422.525, usercpu_time_millis_testing: 40.7, usercpu_time_millis_training: 2381.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8397, kappa: 0.6714, kb_relative_information_score: 23985.3416, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8397, predictive_accuracy: 0.8401, prior_entropy: 0.9835, recall: 0.8401, relative_absolute_error: 0.4976, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.6805, scimark_benchmark: 1236.3457, usercpu_time_millis: 3100.943, usercpu_time_millis_testing: 94.977, usercpu_time_millis_training: 3005.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8424, kappa: 0.6765, kb_relative_information_score: 0.489, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8425, predictive_accuracy: 0.8429, prior_entropy: 0.9835, recall: 0.8429, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8283, kappa: 0.6474, kb_relative_information_score: 0.4063, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8286, predictive_accuracy: 0.8291, prior_entropy: 0.9835, recall: 0.8291, relative_absolute_error: 0.6405, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8259, kappa: 0.6422, kb_relative_information_score: 0.4776, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8271, predictive_accuracy: 0.8272, prior_entropy: 0.9835, recall: 0.8272, relative_absolute_error: 0.5548, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9346, kappa: 0.8661, kb_relative_information_score: 0.7953, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9346, predictive_accuracy: 0.9346, prior_entropy: 0.9835, recall: 0.9346, relative_absolute_error: 0.2206, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.4517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.8616, kappa: 0.7164, kb_relative_information_score: 0.5909, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8615, predictive_accuracy: 0.8617, prior_entropy: 0.9835, recall: 0.8617, relative_absolute_error: 0.4358, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8771, kappa: 0.7481, kb_relative_information_score: 0.6496, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.877, predictive_accuracy: 0.8772, prior_entropy: 0.9835, recall: 0.8772, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8467, kappa: 0.6851, kb_relative_information_score: 21278.1583, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8476, predictive_accuracy: 0.8476, prior_entropy: 0.9835, recall: 0.8476, relative_absolute_error: 0.5731, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6901, scimark_benchmark: 1244.5176, usercpu_time_millis: 557.337, usercpu_time_millis_testing: 47.373, usercpu_time_millis_training: 509.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9453, kappa: 0.8881, kb_relative_information_score: 0.8371, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9453, predictive_accuracy: 0.9453, prior_entropy: 0.9835, recall: 0.9453, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.8996, kappa: 0.7945, kb_relative_information_score: 0.679, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8996, predictive_accuracy: 0.8996, prior_entropy: 0.9835, recall: 0.8996, relative_absolute_error: 0.346, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.8161, kappa: 0.6219, kb_relative_information_score: 0.4621, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8171, predictive_accuracy: 0.8174, prior_entropy: 0.9835, recall: 0.8174, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.7293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.8155, kappa: 0.6206, kb_relative_information_score: 0.4516, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8165, predictive_accuracy: 0.8168, prior_entropy: 0.9835, recall: 0.8168, relative_absolute_error: 0.5822, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.7931, kappa: 0.5748, kb_relative_information_score: 18603.9933, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7939, predictive_accuracy: 0.7946, prior_entropy: 0.9835, recall: 0.7946, relative_absolute_error: 0.6211, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7668, scimark_benchmark: 1242.0466, usercpu_time_millis: 358.259, usercpu_time_millis_testing: 28.943, usercpu_time_millis_training: 329.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9048, kappa: 0.805, kb_relative_information_score: 30207.7922, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9048, predictive_accuracy: 0.905, prior_entropy: 0.9835, recall: 0.905, relative_absolute_error: 0.3624, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.5455, scimark_benchmark: 1244.9312, usercpu_time_millis: 555.55, usercpu_time_millis_testing: 20.092, usercpu_time_millis_training: 535.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.8099, kappa: 0.609, kb_relative_information_score: 19576.0969, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8125, predictive_accuracy: 0.812, prior_entropy: 0.9835, recall: 0.812, relative_absolute_error: 0.6011, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.7433, scimark_benchmark: 1245.8823, usercpu_time_millis: 619.272, usercpu_time_millis_testing: 43.594, usercpu_time_millis_training: 575.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.8837, kappa: 0.7615, kb_relative_information_score: 27430.015, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8837, predictive_accuracy: 0.8839, prior_entropy: 0.9835, recall: 0.8839, relative_absolute_error: 0.4266, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.5983, scimark_benchmark: 1249.7621, usercpu_time_millis: 1211.303, usercpu_time_millis_testing: 68.33, usercpu_time_millis_training: 1142.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.8861, kappa: 0.7663, kb_relative_information_score: 27542.8619, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8862, predictive_accuracy: 0.8863, prior_entropy: 0.9835, recall: 0.8863, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.5892, scimark_benchmark: 1244.044, usercpu_time_millis: 395.509, usercpu_time_millis_testing: 19.662, usercpu_time_millis_training: 375.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8302, kappa: 0.6516, kb_relative_information_score: 0.4701, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8304, predictive_accuracy: 0.8309, prior_entropy: 0.9835, recall: 0.8309, relative_absolute_error: 0.5681, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.7068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8171, kappa: 0.6238, kb_relative_information_score: 20004.5611, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8193, predictive_accuracy: 0.8189, prior_entropy: 0.9835, recall: 0.8189, relative_absolute_error: 0.5935, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7309, scimark_benchmark: 1262.6063, usercpu_time_millis: 309.991, usercpu_time_millis_testing: 15.076, usercpu_time_millis_training: 294.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -3008.0936, mean_absolute_error: 0.511, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0459, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.0441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8306, kappa: 0.6523, kb_relative_information_score: 22716.913, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8308, predictive_accuracy: 0.8313, prior_entropy: 0.9835, recall: 0.8313, relative_absolute_error: 0.5282, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.6968, scimark_benchmark: 1273.8127, usercpu_time_millis: 1997.216, usercpu_time_millis_testing: 91.546, usercpu_time_millis_training: 1905.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8927, kappa: 0.7799, kb_relative_information_score: 28270.9605, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8928, predictive_accuracy: 0.8929, prior_entropy: 0.9835, recall: 0.8929, relative_absolute_error: 0.4099, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2844, root_relative_squared_error: 0.5754, scimark_benchmark: 1253.158, usercpu_time_millis: 335.398, usercpu_time_millis_testing: 16.134, usercpu_time_millis_training: 319.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2898.9909, mean_absolute_error: 0.5101, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.4245, prior_entropy: 0.9835, recall: 0.4245, relative_absolute_error: 1.0439, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.0406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8832, kappa: 0.7606, kb_relative_information_score: 27460.7765, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8832, predictive_accuracy: 0.8834, prior_entropy: 0.9835, recall: 0.8834, relative_absolute_error: 0.4256, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.296, root_relative_squared_error: 0.599, scimark_benchmark: 1239.5085, usercpu_time_millis: 1047.574, usercpu_time_millis_testing: 62.227, usercpu_time_millis_training: 985.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8384, kappa: 0.6685, kb_relative_information_score: 23637.4615, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8384, predictive_accuracy: 0.8389, prior_entropy: 0.9835, recall: 0.8389, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.6842, scimark_benchmark: 1228.6775, usercpu_time_millis: 3121.001, usercpu_time_millis_testing: 104.286, usercpu_time_millis_training: 3016.715,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8435, kappa: 0.6788, kb_relative_information_score: 23950.1552, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8436, predictive_accuracy: 0.844, prior_entropy: 0.9835, recall: 0.844, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.6742, scimark_benchmark: 1248.2575, usercpu_time_millis: 297.562, usercpu_time_millis_testing: 17.383, usercpu_time_millis_training: 280.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9225, kappa: 0.8412, kb_relative_information_score: 32693.94, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9225, predictive_accuracy: 0.9226, prior_entropy: 0.9835, recall: 0.9226, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.4983, scimark_benchmark: 1243.9553, usercpu_time_millis: 411.17, usercpu_time_millis_testing: 12.119, usercpu_time_millis_training: 399.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.8214, kappa: 0.6335, kb_relative_information_score: 21887.7041, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8215, predictive_accuracy: 0.8221, prior_entropy: 0.9835, recall: 0.8221, relative_absolute_error: 0.5462, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.7146, scimark_benchmark: 1251.1792, usercpu_time_millis: 326.81, usercpu_time_millis_testing: 11.514, usercpu_time_millis_training: 315.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8744, kappa: 0.7423, kb_relative_information_score: 26332.7959, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8746, predictive_accuracy: 0.8748, prior_entropy: 0.9835, recall: 0.8748, relative_absolute_error: 0.4519, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3051, root_relative_squared_error: 0.6173, scimark_benchmark: 1244.7257, usercpu_time_millis: 766.449, usercpu_time_millis_testing: 49.519, usercpu_time_millis_training: 716.93,

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