OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
1 likes downloaded by 6 people , 8 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

9363 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: 0.8615, f_measure: 0.7929, kappa: 0.5822, kb_relative_information_score: 1504.9615, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7932, predictive_accuracy: 0.7934, prior_entropy: 0.9948, recall: 0.7934, relative_absolute_error: 0.6336, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.7775, scimark_benchmark: 1843.263, usercpu_time_millis: 1573.976, usercpu_time_millis_testing: 1.586, usercpu_time_millis_training: 1572.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8079, kappa: 0.6125, kb_relative_information_score: 1620.5635, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8082, predictive_accuracy: 0.8083, prior_entropy: 0.9948, recall: 0.8083, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.752, scimark_benchmark: 1774.4514, usercpu_time_millis: 693.279, usercpu_time_millis_testing: 2.072, usercpu_time_millis_training: 691.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7675, kappa: 0.5308, kb_relative_information_score: 1213.7413, mean_absolute_error: 0.3546, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7687, predictive_accuracy: 0.7686, prior_entropy: 0.9948, recall: 0.7686, relative_absolute_error: 0.7143, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8161, scimark_benchmark: 1819.7976, usercpu_time_millis: 303.21, usercpu_time_millis_testing: 1.239, usercpu_time_millis_training: 301.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.7564, kappa: 0.5084, kb_relative_information_score: 1057.3825, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7584, predictive_accuracy: 0.7579, prior_entropy: 0.9948, recall: 0.7579, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8366, scimark_benchmark: 1734.6051, usercpu_time_millis: 294.289, usercpu_time_millis_testing: 1.729, usercpu_time_millis_training: 292.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 939.8051, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7885, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.878, scimark_benchmark: 1834.0484, usercpu_time_millis: 205.651, usercpu_time_millis_testing: 1.116, usercpu_time_millis_training: 204.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.7371, kappa: 0.4701, kb_relative_information_score: 404.0837, mean_absolute_error: 0.4551, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7427, predictive_accuracy: 0.7403, prior_entropy: 0.9948, recall: 0.7403, relative_absolute_error: 0.9167, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9288, scimark_benchmark: 1798.5572, usercpu_time_millis: 55.464, usercpu_time_millis_testing: 1.337, usercpu_time_millis_training: 54.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.8033, kappa: 0.6033, kb_relative_information_score: 1643.9843, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8036, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.5941, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7601, scimark_benchmark: 1738.2694, usercpu_time_millis: 13214.236, usercpu_time_millis_testing: 4.112, usercpu_time_millis_training: 13210.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.7999, kappa: 0.5963, kb_relative_information_score: 1580.1119, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8001, predictive_accuracy: 0.8003, prior_entropy: 0.9948, recall: 0.8003, relative_absolute_error: 0.6122, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.7665, scimark_benchmark: 1798.1767, usercpu_time_millis: 1269.753, usercpu_time_millis_testing: 1.476, usercpu_time_millis_training: 1268.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8057, kappa: 0.608, kb_relative_information_score: 1645.8648, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8061, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.5945, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7566, scimark_benchmark: 1726.9824, usercpu_time_millis: 10291.156, usercpu_time_millis_testing: 5.209, usercpu_time_millis_training: 10285.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.7875, kappa: 0.5713, kb_relative_information_score: 1485.1848, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7879, predictive_accuracy: 0.7881, prior_entropy: 0.9948, recall: 0.7881, relative_absolute_error: 0.6376, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7835, scimark_benchmark: 1708.6025, usercpu_time_millis: 9929.227, usercpu_time_millis_testing: 3.6, usercpu_time_millis_training: 9925.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.8098, kappa: 0.6165, kb_relative_information_score: 1685.3107, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.81, predictive_accuracy: 0.8102, prior_entropy: 0.9948, recall: 0.8102, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7497, scimark_benchmark: 1791.714, usercpu_time_millis: 2864.775, usercpu_time_millis_testing: 3.755, usercpu_time_millis_training: 2861.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.7678, kappa: 0.5315, kb_relative_information_score: 1280.1078, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7701, predictive_accuracy: 0.7694, prior_entropy: 0.9948, recall: 0.7694, relative_absolute_error: 0.6951, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8142, scimark_benchmark: 1735.1396, usercpu_time_millis: 2194.382, usercpu_time_millis_testing: 2.424, usercpu_time_millis_training: 2191.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7547, kappa: 0.505, kb_relative_information_score: 1288.7273, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7575, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.691, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8191, scimark_benchmark: 1848.7762, usercpu_time_millis: 2134.706, usercpu_time_millis_testing: 1.867, usercpu_time_millis_training: 2132.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8065, kappa: 0.6097, kb_relative_information_score: 1613.1673, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8069, predictive_accuracy: 0.807, prior_entropy: 0.9948, recall: 0.807, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7578, scimark_benchmark: 1750.0858, usercpu_time_millis: 3408.099, usercpu_time_millis_testing: 3.406, usercpu_time_millis_training: 3404.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.8004, kappa: 0.5974, kb_relative_information_score: 1601.1007, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8007, predictive_accuracy: 0.8009, prior_entropy: 0.9948, recall: 0.8009, relative_absolute_error: 0.6052, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7673, scimark_benchmark: 1740.0009, usercpu_time_millis: 1430.964, usercpu_time_millis_testing: 1.311, usercpu_time_millis_training: 1429.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7538, kappa: 0.5033, kb_relative_information_score: 1228.8138, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7576, predictive_accuracy: 0.7561, prior_entropy: 0.9948, recall: 0.7561, relative_absolute_error: 0.709, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8268, scimark_benchmark: 1730.591, usercpu_time_millis: 737.202, usercpu_time_millis_testing: 1.301, usercpu_time_millis_training: 735.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.7899, kappa: 0.5761, kb_relative_information_score: 1446.9989, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7903, predictive_accuracy: 0.7905, prior_entropy: 0.9948, recall: 0.7905, relative_absolute_error: 0.649, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.7857, scimark_benchmark: 1800.0255, usercpu_time_millis: 679.282, usercpu_time_millis_testing: 1.242, usercpu_time_millis_training: 678.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.8094, kappa: 0.6158, kb_relative_information_score: 1537.7691, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8094, predictive_accuracy: 0.8097, prior_entropy: 0.9948, recall: 0.8097, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7561, scimark_benchmark: 1725.6207, usercpu_time_millis: 675.988, usercpu_time_millis_testing: 4.655, usercpu_time_millis_training: 671.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.7588, kappa: 0.5134, kb_relative_information_score: 1102.8997, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7622, predictive_accuracy: 0.7609, prior_entropy: 0.9948, recall: 0.7609, relative_absolute_error: 0.7453, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8339, scimark_benchmark: 1843.959, usercpu_time_millis: 626.922, usercpu_time_millis_testing: 1.874, usercpu_time_millis_training: 625.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8101, kappa: 0.617, kb_relative_information_score: 1624.3477, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8103, predictive_accuracy: 0.8105, prior_entropy: 0.9948, recall: 0.8105, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7517, scimark_benchmark: 1728.4686, usercpu_time_millis: 2118.022, usercpu_time_millis_testing: 5.272, usercpu_time_millis_training: 2112.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.7839, kappa: 0.564, kb_relative_information_score: 1415.691, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7845, predictive_accuracy: 0.7846, prior_entropy: 0.9948, recall: 0.7846, relative_absolute_error: 0.657, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.7936, scimark_benchmark: 1806.6025, usercpu_time_millis: 2104.264, usercpu_time_millis_testing: 1.929, usercpu_time_millis_training: 2102.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.7801, kappa: 0.5565, kb_relative_information_score: 1187.724, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7803, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.7215, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8102, scimark_benchmark: 1734.8233, usercpu_time_millis: 96.405, usercpu_time_millis_testing: 1.026, usercpu_time_millis_training: 95.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.146, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1735.8795, usercpu_time_millis: 7.581, usercpu_time_millis_testing: 1.194, usercpu_time_millis_training: 6.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.0857, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1796.8131, usercpu_time_millis: 7.843, usercpu_time_millis_testing: 1.154, usercpu_time_millis_training: 6.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0267, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1850.6617, usercpu_time_millis: 8.723, usercpu_time_millis_testing: 1.441, usercpu_time_millis_training: 7.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.7189, kappa: 0.4327, kb_relative_information_score: 506.0024, mean_absolute_error: 0.4436, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7195, predictive_accuracy: 0.7201, prior_entropy: 0.9948, recall: 0.7201, relative_absolute_error: 0.8935, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9127, scimark_benchmark: 1768.5193, usercpu_time_millis: 11.749, usercpu_time_millis_testing: 0.802, usercpu_time_millis_training: 10.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.7854, kappa: 0.5671, kb_relative_information_score: 1349.9144, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7861, predictive_accuracy: 0.7862, prior_entropy: 0.9948, recall: 0.7862, relative_absolute_error: 0.6767, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.7943, scimark_benchmark: 1729.728, usercpu_time_millis: 1509.298, usercpu_time_millis_testing: 2.935, usercpu_time_millis_training: 1506.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7996, kappa: 0.5957, kb_relative_information_score: 1585.7214, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7999, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.6119, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7628, scimark_benchmark: 1726.5817, usercpu_time_millis: 960.83, usercpu_time_millis_testing: 1.73, usercpu_time_millis_training: 959.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.7648, kappa: 0.5255, kb_relative_information_score: 1221.0449, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.768, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.7119, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8221, scimark_benchmark: 1727.4447, usercpu_time_millis: 844.335, usercpu_time_millis_testing: 1.533, usercpu_time_millis_training: 842.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8081, kappa: 0.613, kb_relative_information_score: 1706.8107, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8081, predictive_accuracy: 0.8083, prior_entropy: 0.9948, recall: 0.8083, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7462, scimark_benchmark: 1812.0454, usercpu_time_millis: 684.702, usercpu_time_millis_testing: 2.761, usercpu_time_millis_training: 681.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.8068, kappa: 0.6103, kb_relative_information_score: 1525.8621, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8071, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.6311, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.7585, scimark_benchmark: 1730.9334, usercpu_time_millis: 667.496, usercpu_time_millis_testing: 2.475, usercpu_time_millis_training: 665.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.7991, kappa: 0.5949, kb_relative_information_score: 1321.2697, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7993, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7852, scimark_benchmark: 1759.6789, usercpu_time_millis: 359.664, usercpu_time_millis_testing: 3.634, usercpu_time_millis_training: 356.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7375, kappa: 0.4724, kb_relative_information_score: 1003.1497, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7385, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.7716, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8564, scimark_benchmark: 1766.7819, usercpu_time_millis: 52.404, usercpu_time_millis_testing: 0.725, usercpu_time_millis_training: 51.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.0322, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1839.1431, usercpu_time_millis: 11.026, usercpu_time_millis_testing: 1.497, usercpu_time_millis_training: 9.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.1126, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1800.0035, usercpu_time_millis: 7.55, usercpu_time_millis_testing: 1.087, usercpu_time_millis_training: 6.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7812, f_measure: 0.6621, kappa: 0.3322, kb_relative_information_score: 285.3115, mean_absolute_error: 0.4678, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6959, predictive_accuracy: 0.6788, prior_entropy: 0.9948, recall: 0.6788, relative_absolute_error: 0.9423, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9484, scimark_benchmark: 1733.6357, usercpu_time_millis: 6.192, usercpu_time_millis_testing: 0.954, usercpu_time_millis_training: 5.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.7807, kappa: 0.5576, kb_relative_information_score: 1377.3013, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7808, predictive_accuracy: 0.7811, prior_entropy: 0.9948, recall: 0.7811, relative_absolute_error: 0.6677, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8002, scimark_benchmark: 1838.1026, usercpu_time_millis: 1716.414, usercpu_time_millis_testing: 2.138, usercpu_time_millis_training: 1714.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8108, f_measure: 0.7402, kappa: 0.4759, kb_relative_information_score: 832.4891, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7404, predictive_accuracy: 0.7409, prior_entropy: 0.9948, recall: 0.7409, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8646, scimark_benchmark: 1712.1059, usercpu_time_millis: 6.513, usercpu_time_millis_testing: 0.708, usercpu_time_millis_training: 5.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, f_measure: 0.6698, kappa: 0.3375, kb_relative_information_score: 345.991, mean_absolute_error: 0.4612, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6814, predictive_accuracy: 0.6777, prior_entropy: 0.9948, recall: 0.6777, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4678, root_relative_squared_error: 0.9389, scimark_benchmark: 1724.8648, usercpu_time_millis: 9.469, usercpu_time_millis_testing: 0.914, usercpu_time_millis_training: 8.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3813, kb_relative_information_score: 0.0477, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1819.0513, usercpu_time_millis: 5.303, usercpu_time_millis_testing: 0.736, usercpu_time_millis_training: 4.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: 0.0372, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1717.6998, usercpu_time_millis: 8.946, usercpu_time_millis_testing: 1.482, usercpu_time_millis_training: 7.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.8025, kappa: 0.6016, kb_relative_information_score: 1583.3718, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.761, scimark_benchmark: 1746.9858, usercpu_time_millis: 4951.911, usercpu_time_millis_testing: 5.378, usercpu_time_millis_training: 4946.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.8027, kappa: 0.6021, kb_relative_information_score: 1621.0532, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8031, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.6015, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.7594, scimark_benchmark: 1771.8032, usercpu_time_millis: 4728.672, usercpu_time_millis_testing: 2.718, usercpu_time_millis_training: 4725.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.807, kappa: 0.6107, kb_relative_information_score: 1657.6726, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8074, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.376, root_relative_squared_error: 0.7547, scimark_benchmark: 1792.6145, usercpu_time_millis: 10410.314, usercpu_time_millis_testing: 5.645, usercpu_time_millis_training: 10404.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.7983, kappa: 0.5931, kb_relative_information_score: 1543.8271, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7985, predictive_accuracy: 0.7987, prior_entropy: 0.9948, recall: 0.7987, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7693, scimark_benchmark: 1777.883, usercpu_time_millis: 3670.364, usercpu_time_millis_testing: 2.565, usercpu_time_millis_training: 3667.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.7898, kappa: 0.5758, kb_relative_information_score: 1330.7222, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7904, predictive_accuracy: 0.7905, prior_entropy: 0.9948, recall: 0.7905, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7929, scimark_benchmark: 1731.6389, usercpu_time_millis: 1226.833, usercpu_time_millis_testing: 3.398, usercpu_time_millis_training: 1223.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.7955, kappa: 0.5875, kb_relative_information_score: 1464.229, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7959, predictive_accuracy: 0.7961, prior_entropy: 0.9948, recall: 0.7961, relative_absolute_error: 0.6457, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.7798, scimark_benchmark: 1766.4638, usercpu_time_millis: 609.851, usercpu_time_millis_testing: 1.569, usercpu_time_millis_training: 608.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8107, kappa: 0.6182, kb_relative_information_score: 1624.7066, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8108, predictive_accuracy: 0.811, prior_entropy: 0.9948, recall: 0.811, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7529, scimark_benchmark: 1750.3692, usercpu_time_millis: 570.82, usercpu_time_millis_testing: 1.65, usercpu_time_millis_training: 569.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.7621, kappa: 0.5199, kb_relative_information_score: 1156.1859, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7646, predictive_accuracy: 0.7638, prior_entropy: 0.9948, recall: 0.7638, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.826, scimark_benchmark: 1755.3902, usercpu_time_millis: 707.209, usercpu_time_millis_testing: 2.178, usercpu_time_millis_training: 705.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.7653, kappa: 0.5264, kb_relative_information_score: 1147.5406, mean_absolute_error: 0.3637, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7665, predictive_accuracy: 0.7665, prior_entropy: 0.9948, recall: 0.7665, relative_absolute_error: 0.7326, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8244, scimark_benchmark: 1831.2726, usercpu_time_millis: 448.265, usercpu_time_millis_testing: 1.99, usercpu_time_millis_training: 446.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8053, kappa: 0.6073, kb_relative_information_score: 1698.4065, mean_absolute_error: 0.2866, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8054, predictive_accuracy: 0.8057, prior_entropy: 0.9948, recall: 0.8057, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.759, scimark_benchmark: 1734.2333, usercpu_time_millis: 10626.489, usercpu_time_millis_testing: 4.037, usercpu_time_millis_training: 10622.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.8, kappa: 0.5966, kb_relative_information_score: 1576.2605, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8005, predictive_accuracy: 0.8006, prior_entropy: 0.9948, recall: 0.8006, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.766, scimark_benchmark: 1842.3188, usercpu_time_millis: 7156.808, usercpu_time_millis_testing: 4.416, usercpu_time_millis_training: 7152.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8033, kappa: 0.6033, kb_relative_information_score: 1608.9317, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8036, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.6047, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7626, scimark_benchmark: 1828.1532, usercpu_time_millis: 11177.631, usercpu_time_millis_testing: 5.459, usercpu_time_millis_training: 11172.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.7942, kappa: 0.5848, kb_relative_information_score: 1549.3254, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7946, predictive_accuracy: 0.7947, prior_entropy: 0.9948, recall: 0.7947, relative_absolute_error: 0.6207, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7733, scimark_benchmark: 1827.7633, usercpu_time_millis: 8120.387, usercpu_time_millis_testing: 4.526, usercpu_time_millis_training: 8115.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.7951, kappa: 0.5867, kb_relative_information_score: 1519.3998, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7953, predictive_accuracy: 0.7955, prior_entropy: 0.9948, recall: 0.7955, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.7762, scimark_benchmark: 1775.915, usercpu_time_millis: 5482.032, usercpu_time_millis_testing: 3.365, usercpu_time_millis_training: 5478.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.7753, kappa: 0.5465, kb_relative_information_score: 1384.8506, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7765, predictive_accuracy: 0.7763, prior_entropy: 0.9948, recall: 0.7763, relative_absolute_error: 0.6637, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8032, scimark_benchmark: 1830.7616, usercpu_time_millis: 5562.565, usercpu_time_millis_testing: 2.365, usercpu_time_millis_training: 5560.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.7517, kappa: 0.499, kb_relative_information_score: 1307.7636, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7546, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8197, scimark_benchmark: 1783.1327, usercpu_time_millis: 3134.531, usercpu_time_millis_testing: 2.113, usercpu_time_millis_training: 3132.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.8023, kappa: 0.6011, kb_relative_information_score: 1573.5498, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8026, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7649, scimark_benchmark: 1830.5713, usercpu_time_millis: 2905.739, usercpu_time_millis_testing: 2.445, usercpu_time_millis_training: 2903.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7597, kappa: 0.5152, kb_relative_information_score: 1257.8253, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7614, predictive_accuracy: 0.7611, prior_entropy: 0.9948, recall: 0.7611, relative_absolute_error: 0.7003, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8268, scimark_benchmark: 1763.2729, usercpu_time_millis: 1398.754, usercpu_time_millis_testing: 1.941, usercpu_time_millis_training: 1396.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.804, kappa: 0.6047, kb_relative_information_score: 1438.3828, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8045, predictive_accuracy: 0.8046, prior_entropy: 0.9948, recall: 0.8046, relative_absolute_error: 0.6551, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7721, scimark_benchmark: 1053.388, usercpu_time_millis: 1222.913, usercpu_time_millis_testing: 5.978, usercpu_time_millis_training: 1216.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.7967, kappa: 0.59, kb_relative_information_score: 1479.7912, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7969, predictive_accuracy: 0.7971, prior_entropy: 0.9948, recall: 0.7971, relative_absolute_error: 0.6416, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.7759, scimark_benchmark: 1769.9474, usercpu_time_millis: 3014.198, usercpu_time_millis_testing: 3.898, usercpu_time_millis_training: 3010.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.8057, kappa: 0.6082, kb_relative_information_score: 1466.2698, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.6474, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.7683, scimark_benchmark: 1851.8567, usercpu_time_millis: 355.795, usercpu_time_millis_testing: 2.458, usercpu_time_millis_training: 353.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.7558, kappa: 0.5072, kb_relative_information_score: 1048.1493, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7586, predictive_accuracy: 0.7577, prior_entropy: 0.9948, recall: 0.7577, relative_absolute_error: 0.7604, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.8418, scimark_benchmark: 1853.9121, usercpu_time_millis: 340.032, usercpu_time_millis_testing: 1.445, usercpu_time_millis_training: 338.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7812, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 879.7622, mean_absolute_error: 0.3993, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8043, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.879, scimark_benchmark: 1838.7526, usercpu_time_millis: 197.137, usercpu_time_millis_testing: 1.107, usercpu_time_millis_training: 196.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.8052, kappa: 0.607, kb_relative_information_score: 1463.5537, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8055, predictive_accuracy: 0.8057, prior_entropy: 0.9948, recall: 0.8057, relative_absolute_error: 0.6482, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.7684, scimark_benchmark: 1772.4134, usercpu_time_millis: 128.974, usercpu_time_millis_testing: 1.348, usercpu_time_millis_training: 127.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.736, kappa: 0.4687, kb_relative_information_score: 604.7604, mean_absolute_error: 0.4326, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7363, predictive_accuracy: 0.7358, prior_entropy: 0.9948, recall: 0.7358, relative_absolute_error: 0.8714, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.8996, scimark_benchmark: 1834.0484, usercpu_time_millis: 100.996, usercpu_time_millis_testing: 1.169, usercpu_time_millis_training: 99.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.7274, kappa: 0.4504, kb_relative_information_score: 654.707, mean_absolute_error: 0.4262, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7273, predictive_accuracy: 0.7278, prior_entropy: 0.9948, recall: 0.7278, relative_absolute_error: 0.8586, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.8902, scimark_benchmark: 1832.6275, usercpu_time_millis: 75.155, usercpu_time_millis_testing: 1.703, usercpu_time_millis_training: 73.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 861.0048, mean_absolute_error: 0.4017, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8091, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8755, scimark_benchmark: 1783.4338, usercpu_time_millis: 49.57, usercpu_time_millis_testing: 0.763, usercpu_time_millis_training: 48.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: 0.0312, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1762.23, usercpu_time_millis: 6.875, usercpu_time_millis_testing: 1.141, usercpu_time_millis_training: 5.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.7832, kappa: 0.5625, kb_relative_information_score: 1303.5744, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7841, predictive_accuracy: 0.7841, prior_entropy: 0.9948, recall: 0.7841, relative_absolute_error: 0.6893, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8006, scimark_benchmark: 1837.9356, usercpu_time_millis: 2104.797, usercpu_time_millis_testing: 3.564, usercpu_time_millis_training: 2101.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7676, kappa: 0.5311, kb_relative_information_score: 1254.1267, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7698, predictive_accuracy: 0.7691, prior_entropy: 0.9948, recall: 0.7691, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8162, scimark_benchmark: 1840.1791, usercpu_time_millis: 768.669, usercpu_time_millis_testing: 1.415, usercpu_time_millis_training: 767.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.8131, kappa: 0.623, kb_relative_information_score: 1597.3933, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8132, predictive_accuracy: 0.8134, prior_entropy: 0.9948, recall: 0.8134, relative_absolute_error: 0.6104, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7522, scimark_benchmark: 1844.7928, usercpu_time_millis: 721.118, usercpu_time_millis_testing: 2.394, usercpu_time_millis_training: 718.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.7469, kappa: 0.4897, kb_relative_information_score: 1193.3812, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7526, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.7196, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8384, scimark_benchmark: 1828.6642, usercpu_time_millis: 615.517, usercpu_time_millis_testing: 1.299, usercpu_time_millis_training: 614.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.7635, kappa: 0.5229, kb_relative_information_score: 1256.6772, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7637, predictive_accuracy: 0.7641, prior_entropy: 0.9948, recall: 0.7641, relative_absolute_error: 0.6991, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8215, scimark_benchmark: 1829.1182, usercpu_time_millis: 281.788, usercpu_time_millis_testing: 1.202, usercpu_time_millis_training: 280.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.7916, kappa: 0.5797, kb_relative_information_score: 1485.102, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7918, predictive_accuracy: 0.7921, prior_entropy: 0.9948, recall: 0.7921, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.7822, scimark_benchmark: 1826.5537, usercpu_time_millis: 192.477, usercpu_time_millis_testing: 0.97, usercpu_time_millis_training: 191.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.805, kappa: 0.6068, kb_relative_information_score: 1595.3755, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8052, predictive_accuracy: 0.8054, prior_entropy: 0.9948, recall: 0.8054, relative_absolute_error: 0.6094, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7601, scimark_benchmark: 1808.2094, usercpu_time_millis: 163.023, usercpu_time_millis_testing: 1.204, usercpu_time_millis_training: 161.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0434, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1957.4313, usercpu_time_millis: 8.951, usercpu_time_millis_testing: 1.206, usercpu_time_millis_training: 7.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.7797, kappa: 0.5554, kb_relative_information_score: 1367.9372, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7801, predictive_accuracy: 0.7803, prior_entropy: 0.9948, recall: 0.7803, relative_absolute_error: 0.6699, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8022, scimark_benchmark: 1824.1636, usercpu_time_millis: 1940.663, usercpu_time_millis_testing: 2.464, usercpu_time_millis_training: 1938.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7524, kappa: 0.5003, kb_relative_information_score: 1319.2606, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7549, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8182, scimark_benchmark: 1822.7572, usercpu_time_millis: 5653.941, usercpu_time_millis_testing: 2.489, usercpu_time_millis_training: 5651.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7692, kappa: 0.5342, kb_relative_information_score: 1151.7691, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7702, predictive_accuracy: 0.7702, prior_entropy: 0.9948, recall: 0.7702, relative_absolute_error: 0.7312, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.822, scimark_benchmark: 1841.6688, usercpu_time_millis: 230.601, usercpu_time_millis_testing: 1.318, usercpu_time_millis_training: 229.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.8063, kappa: 0.6093, kb_relative_information_score: 1646.7086, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8066, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7536, scimark_benchmark: 1762.1616, usercpu_time_millis: 4645.747, usercpu_time_millis_testing: 3.775, usercpu_time_millis_training: 4641.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.767, kappa: 0.5298, kb_relative_information_score: 1226.5628, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7681, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8171, scimark_benchmark: 1815.1886, usercpu_time_millis: 1434.749, usercpu_time_millis_testing: 2.515, usercpu_time_millis_training: 1432.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.8004, kappa: 0.5975, kb_relative_information_score: 1463.588, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8007, predictive_accuracy: 0.8009, prior_entropy: 0.9948, recall: 0.8009, relative_absolute_error: 0.6469, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7747, scimark_benchmark: 1832.1735, usercpu_time_millis: 1114.59, usercpu_time_millis_testing: 3.662, usercpu_time_millis_training: 1110.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.804, kappa: 0.6046, kb_relative_information_score: 1511.1432, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8041, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.7671, scimark_benchmark: 1828.6642, usercpu_time_millis: 426.242, usercpu_time_millis_testing: 1.544, usercpu_time_millis_training: 424.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.7634, kappa: 0.5224, kb_relative_information_score: 1188.4812, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7648, predictive_accuracy: 0.7646, prior_entropy: 0.9948, recall: 0.7646, relative_absolute_error: 0.7209, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8227, scimark_benchmark: 1801.0615, usercpu_time_millis: 360.918, usercpu_time_millis_testing: 1.347, usercpu_time_millis_training: 359.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8484, f_measure: 0.7819, kappa: 0.5599, kb_relative_information_score: 1405.0532, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7822, predictive_accuracy: 0.7825, prior_entropy: 0.9948, recall: 0.7825, relative_absolute_error: 0.6604, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.7958, scimark_benchmark: 1833.1413, usercpu_time_millis: 1464.474, usercpu_time_millis_testing: 2.263, usercpu_time_millis_training: 1462.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.782, kappa: 0.5601, kb_relative_information_score: 1316.5064, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7826, predictive_accuracy: 0.7827, prior_entropy: 0.9948, recall: 0.7827, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.7977, scimark_benchmark: 1739.917, usercpu_time_millis: 1075.718, usercpu_time_millis_testing: 3.301, usercpu_time_millis_training: 1072.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.7809, kappa: 0.558, kb_relative_information_score: 1380.2261, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7811, predictive_accuracy: 0.7814, prior_entropy: 0.9948, recall: 0.7814, relative_absolute_error: 0.6672, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.799, scimark_benchmark: 1824.6719, usercpu_time_millis: 489.207, usercpu_time_millis_testing: 1.451, usercpu_time_millis_training: 487.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.7545, kappa: 0.5045, kb_relative_information_score: 1072.5654, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7559, predictive_accuracy: 0.7558, prior_entropy: 0.9948, recall: 0.7558, relative_absolute_error: 0.7533, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8358, scimark_benchmark: 1828.2771, usercpu_time_millis: 248.59, usercpu_time_millis_testing: 1.806, usercpu_time_millis_training: 246.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.0752, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1829.1182, usercpu_time_millis: 9.031, usercpu_time_millis_testing: 1.324, usercpu_time_millis_training: 7.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.7961, kappa: 0.5887, kb_relative_information_score: 1567.0029, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7964, predictive_accuracy: 0.7966, prior_entropy: 0.9948, recall: 0.7966, relative_absolute_error: 0.6161, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7693, scimark_benchmark: 1829.178, usercpu_time_millis: 12564.809, usercpu_time_millis_testing: 5.455, usercpu_time_millis_training: 12559.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8084, kappa: 0.6135, kb_relative_information_score: 1630.0954, mean_absolute_error: 0.2978, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8087, predictive_accuracy: 0.8089, prior_entropy: 0.9948, recall: 0.8089, relative_absolute_error: 0.5998, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7546, scimark_benchmark: 1824.2249, usercpu_time_millis: 5486.233, usercpu_time_millis_testing: 5.381, usercpu_time_millis_training: 5480.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.7777, kappa: 0.5514, kb_relative_information_score: 1432.5316, mean_absolute_error: 0.3234, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7784, predictive_accuracy: 0.7785, prior_entropy: 0.9948, recall: 0.7785, relative_absolute_error: 0.6514, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7954, scimark_benchmark: 782.8148, usercpu_time_millis: 3558.838, usercpu_time_millis_testing: 3.215, usercpu_time_millis_training: 3555.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.7911, kappa: 0.5786, kb_relative_information_score: 1445.6888, mean_absolute_error: 0.3224, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7913, predictive_accuracy: 0.7915, prior_entropy: 0.9948, recall: 0.7915, relative_absolute_error: 0.6494, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.786, scimark_benchmark: 1829.632, usercpu_time_millis: 2155.95, usercpu_time_millis_testing: 1.986, usercpu_time_millis_training: 2153.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.802, kappa: 0.6005, kb_relative_information_score: 1511.4127, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8023, predictive_accuracy: 0.8025, prior_entropy: 0.9948, recall: 0.8025, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.7678, scimark_benchmark: 1824.0917, usercpu_time_millis: 2131.71, usercpu_time_millis_testing: 4.35, usercpu_time_millis_training: 2127.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.7968, kappa: 0.5901, kb_relative_information_score: 1491.4839, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7973, predictive_accuracy: 0.7974, prior_entropy: 0.9948, recall: 0.7974, relative_absolute_error: 0.6387, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.7739, scimark_benchmark: 1836.6789, usercpu_time_millis: 1995.475, usercpu_time_millis_testing: 3.238, usercpu_time_millis_training: 1992.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.8025, kappa: 0.6017, kb_relative_information_score: 1446.7185, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.6522, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7734, scimark_benchmark: 788.5077, usercpu_time_millis: 1514.274, usercpu_time_millis_testing: 6.426, usercpu_time_millis_training: 1507.848,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.7716, kappa: 0.5392, kb_relative_information_score: 1233.6926, mean_absolute_error: 0.3514, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7721, predictive_accuracy: 0.7723, prior_entropy: 0.9948, recall: 0.7723, relative_absolute_error: 0.7078, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8127, scimark_benchmark: 1835.0844, usercpu_time_millis: 745.915, usercpu_time_millis_testing: 2.529, usercpu_time_millis_training: 743.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7894, kappa: 0.5753, kb_relative_information_score: 1438.9397, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7897, predictive_accuracy: 0.7899, prior_entropy: 0.9948, recall: 0.7899, relative_absolute_error: 0.6516, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7883, scimark_benchmark: 1833.1413, usercpu_time_millis: 688.451, usercpu_time_millis_testing: 1.376, usercpu_time_millis_training: 687.075,

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