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: 0.8811, f_measure: 0.813, kappa: 0.6229, kb_relative_information_score: 1664.5666, mean_absolute_error: 0.293, 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: 0.5901, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.7481, scimark_benchmark: 1734.1814, usercpu_time_millis: 1164.344, usercpu_time_millis_testing: 3.055, usercpu_time_millis_training: 1161.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.8126, kappa: 0.6221, kb_relative_information_score: 1663.8946, mean_absolute_error: 0.2932, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8127, predictive_accuracy: 0.8129, prior_entropy: 0.9948, recall: 0.8129, relative_absolute_error: 0.5907, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.7468, scimark_benchmark: 1840.3802, usercpu_time_millis: 1459.272, usercpu_time_millis_testing: 4.76, usercpu_time_millis_training: 1454.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.7897, kappa: 0.5758, kb_relative_information_score: 1442.2621, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.79, predictive_accuracy: 0.7902, prior_entropy: 0.9948, recall: 0.7902, relative_absolute_error: 0.6508, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7853, scimark_benchmark: 1868.3886, usercpu_time_millis: 1691.764, usercpu_time_millis_testing: 2.757, usercpu_time_millis_training: 1689.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.8041, kappa: 0.605, kb_relative_information_score: 1778.0752, mean_absolute_error: 0.2747, 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: 0.5533, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7519, scimark_benchmark: 1818.1245, usercpu_time_millis: 5379.36, usercpu_time_millis_testing: 4.257, usercpu_time_millis_training: 5375.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.7487, kappa: 0.493, kb_relative_information_score: 665.1829, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7498, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.889, scimark_benchmark: 1730.9952, usercpu_time_millis: 106.04, usercpu_time_millis_testing: 1.715, usercpu_time_millis_training: 104.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7963, kappa: 0.5892, kb_relative_information_score: 1442.9047, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7963, predictive_accuracy: 0.7966, prior_entropy: 0.9948, recall: 0.7966, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7773, scimark_benchmark: 1889.7238, usercpu_time_millis: 227.47, usercpu_time_millis_testing: 1.261, usercpu_time_millis_training: 226.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.8114, kappa: 0.6196, kb_relative_information_score: 1516.2275, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8116, predictive_accuracy: 0.8118, prior_entropy: 0.9948, recall: 0.8118, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7601, scimark_benchmark: 1813.5308, usercpu_time_millis: 699.8, usercpu_time_millis_testing: 4.327, usercpu_time_millis_training: 695.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.778, kappa: 0.5522, kb_relative_information_score: 1278.485, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7785, predictive_accuracy: 0.7787, prior_entropy: 0.9948, recall: 0.7787, relative_absolute_error: 0.6955, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8066, scimark_benchmark: 1890.1954, usercpu_time_millis: 793.69, usercpu_time_millis_testing: 2.7, usercpu_time_millis_training: 790.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.8047, kappa: 0.606, kb_relative_information_score: 1691.8615, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.805, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.5801, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.376, root_relative_squared_error: 0.7548, scimark_benchmark: 1731.6389, usercpu_time_millis: 1769.023, usercpu_time_millis_testing: 1.448, usercpu_time_millis_training: 1767.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.8136, kappa: 0.624, kb_relative_information_score: 1593.1854, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8138, predictive_accuracy: 0.8139, prior_entropy: 0.9948, recall: 0.8139, relative_absolute_error: 0.6115, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7537, scimark_benchmark: 1006.5242, usercpu_time_millis: 2213.1, usercpu_time_millis_testing: 3.735, usercpu_time_millis_training: 2209.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.8044, kappa: 0.6054, kb_relative_information_score: 1649.7719, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8047, predictive_accuracy: 0.8049, prior_entropy: 0.9948, recall: 0.8049, relative_absolute_error: 0.5928, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7582, scimark_benchmark: 1714.9855, usercpu_time_millis: 13059.566, usercpu_time_millis_testing: 5.064, usercpu_time_millis_training: 13054.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.8034, kappa: 0.6035, kb_relative_information_score: 1662.2127, mean_absolute_error: 0.2923, 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: 0.5888, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7574, scimark_benchmark: 1360.1114, usercpu_time_millis: 15765.21, usercpu_time_millis_testing: 6.402, usercpu_time_millis_training: 15758.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.7969, kappa: 0.5904, kb_relative_information_score: 1638.0307, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7972, predictive_accuracy: 0.7974, prior_entropy: 0.9948, recall: 0.7974, relative_absolute_error: 0.5941, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.7665, scimark_benchmark: 1362.1727, usercpu_time_millis: 15938.715, usercpu_time_millis_testing: 4.052, usercpu_time_millis_training: 15934.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.8065, kappa: 0.6098, kb_relative_information_score: 1686.6868, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8068, predictive_accuracy: 0.807, prior_entropy: 0.9948, recall: 0.807, relative_absolute_error: 0.5822, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7541, scimark_benchmark: 1359.129, usercpu_time_millis: 13539.365, usercpu_time_millis_testing: 5.417, usercpu_time_millis_training: 13533.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7639, kappa: 0.5236, kb_relative_information_score: 1198.2038, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7659, predictive_accuracy: 0.7654, prior_entropy: 0.9948, recall: 0.7654, relative_absolute_error: 0.7182, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.824, scimark_benchmark: 1729.2293, usercpu_time_millis: 315.116, usercpu_time_millis_testing: 1.152, usercpu_time_millis_training: 313.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7369, kappa: 0.4708, kb_relative_information_score: 869.8655, mean_absolute_error: 0.4006, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7375, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.8069, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.8706, scimark_benchmark: 1733.81, usercpu_time_millis: 348.545, usercpu_time_millis_testing: 1.921, usercpu_time_millis_training: 346.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7679, kappa: 0.5317, kb_relative_information_score: 1313.0951, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7683, predictive_accuracy: 0.7686, prior_entropy: 0.9948, recall: 0.7686, relative_absolute_error: 0.6829, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8163, scimark_benchmark: 1751.4829, usercpu_time_millis: 1002.743, usercpu_time_millis_testing: 1.561, usercpu_time_millis_training: 1001.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7302, kappa: 0.4558, kb_relative_information_score: 687.8352, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7304, predictive_accuracy: 0.731, prior_entropy: 0.9948, recall: 0.731, relative_absolute_error: 0.8504, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.885, scimark_benchmark: 1738.3274, usercpu_time_millis: 15.074, usercpu_time_millis_testing: 0.757, usercpu_time_millis_training: 14.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 985.6708, mean_absolute_error: 0.3852, 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: 0.7759, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8724, scimark_benchmark: 1718.7337, usercpu_time_millis: 28.935, usercpu_time_millis_testing: 0.752, usercpu_time_millis_training: 28.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7654, kappa: 0.5266, kb_relative_information_score: 1211.3216, mean_absolute_error: 0.3547, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7671, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.7145, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8206, scimark_benchmark: 1756.1603, usercpu_time_millis: 1050.624, usercpu_time_millis_testing: 1.907, usercpu_time_millis_training: 1048.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.7988, kappa: 0.5941, kb_relative_information_score: 1539.651, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7991, predictive_accuracy: 0.7993, prior_entropy: 0.9948, recall: 0.7993, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3875, root_relative_squared_error: 0.7777, scimark_benchmark: 1730.591, usercpu_time_millis: 136.171, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 135.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7661, kappa: 0.528, kb_relative_information_score: 1260.4851, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.768, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.7, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8183, scimark_benchmark: 1715.5791, usercpu_time_millis: 139.765, usercpu_time_millis_testing: 0.749, usercpu_time_millis_training: 139.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.719, kappa: 0.4331, kb_relative_information_score: 577.8276, mean_absolute_error: 0.4352, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7192, predictive_accuracy: 0.7198, prior_entropy: 0.9948, recall: 0.7198, relative_absolute_error: 0.8766, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9016, scimark_benchmark: 1729.7915, usercpu_time_millis: 31.866, usercpu_time_millis_testing: 1.534, usercpu_time_millis_training: 30.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7438, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 980.5492, mean_absolute_error: 0.386, 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: 0.7775, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8812, scimark_benchmark: 1727.044, usercpu_time_millis: 103.97, usercpu_time_millis_testing: 0.787, usercpu_time_millis_training: 103.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7595, kappa: 0.515, kb_relative_information_score: 1377.8223, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.764, predictive_accuracy: 0.7619, prior_entropy: 0.9948, recall: 0.7619, relative_absolute_error: 0.6642, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8108, scimark_benchmark: 1736.9559, usercpu_time_millis: 739.996, usercpu_time_millis_testing: 0.982, usercpu_time_millis_training: 739.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7642, kappa: 0.5241, kb_relative_information_score: 1190.291, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7662, predictive_accuracy: 0.7657, prior_entropy: 0.9948, recall: 0.7657, relative_absolute_error: 0.7208, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8214, scimark_benchmark: 1730.591, usercpu_time_millis: 740.474, usercpu_time_millis_testing: 2.102, usercpu_time_millis_training: 738.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.7807, kappa: 0.5576, kb_relative_information_score: 1544.0552, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7812, predictive_accuracy: 0.7814, prior_entropy: 0.9948, recall: 0.7814, relative_absolute_error: 0.6183, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.7861, scimark_benchmark: 1718.4588, usercpu_time_millis: 2484.083, usercpu_time_millis_testing: 1.369, usercpu_time_millis_training: 2482.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.7871, kappa: 0.5706, kb_relative_information_score: 1416.6269, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7872, predictive_accuracy: 0.7875, prior_entropy: 0.9948, recall: 0.7875, relative_absolute_error: 0.6579, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.393, root_relative_squared_error: 0.7889, scimark_benchmark: 1818.6137, usercpu_time_millis: 1947.928, usercpu_time_millis_testing: 3.233, usercpu_time_millis_training: 1944.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.8071, kappa: 0.6109, kb_relative_information_score: 1664.624, mean_absolute_error: 0.2924, 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: 0.589, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7544, scimark_benchmark: 1799.2326, usercpu_time_millis: 6270.349, usercpu_time_millis_testing: 4.693, usercpu_time_millis_training: 6265.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.7998, kappa: 0.5962, kb_relative_information_score: 1550.1896, mean_absolute_error: 0.3087, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8002, predictive_accuracy: 0.8003, prior_entropy: 0.9948, recall: 0.8003, relative_absolute_error: 0.6218, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7685, scimark_benchmark: 1364.7558, usercpu_time_millis: 8015.508, usercpu_time_millis_testing: 4.361, usercpu_time_millis_training: 8011.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.8079, kappa: 0.6125, kb_relative_information_score: 1555.9691, mean_absolute_error: 0.3088, 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: 0.622, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.7594, scimark_benchmark: 1358.2924, usercpu_time_millis: 3213.768, usercpu_time_millis_testing: 5.559, usercpu_time_millis_training: 3208.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.7917, kappa: 0.5798, kb_relative_information_score: 1531.0482, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7922, predictive_accuracy: 0.7923, prior_entropy: 0.9948, recall: 0.7923, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.7763, scimark_benchmark: 1363.0723, usercpu_time_millis: 7332.162, usercpu_time_millis_testing: 3.093, usercpu_time_millis_training: 7329.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.7712, kappa: 0.5382, kb_relative_information_score: 1315.3154, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7725, predictive_accuracy: 0.7723, prior_entropy: 0.9948, recall: 0.7723, relative_absolute_error: 0.6835, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8113, scimark_benchmark: 1718.2275, usercpu_time_millis: 3229.357, usercpu_time_millis_testing: 2.631, usercpu_time_millis_training: 3226.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.7988, kappa: 0.5941, kb_relative_information_score: 1542.0389, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7991, predictive_accuracy: 0.7993, prior_entropy: 0.9948, recall: 0.7993, relative_absolute_error: 0.624, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3838, root_relative_squared_error: 0.7704, scimark_benchmark: 1719.9254, usercpu_time_millis: 5193.658, usercpu_time_millis_testing: 3.763, usercpu_time_millis_training: 5189.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.7866, kappa: 0.5695, kb_relative_information_score: 1417.7723, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7871, predictive_accuracy: 0.7873, prior_entropy: 0.9948, recall: 0.7873, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.7906, scimark_benchmark: 1733.6438, usercpu_time_millis: 4745.876, usercpu_time_millis_testing: 3.161, usercpu_time_millis_training: 4742.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.7839, kappa: 0.5641, kb_relative_information_score: 1447.2098, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7844, predictive_accuracy: 0.7846, prior_entropy: 0.9948, recall: 0.7846, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.393, root_relative_squared_error: 0.7888, scimark_benchmark: 1729.728, usercpu_time_millis: 5337.432, usercpu_time_millis_testing: 2.768, usercpu_time_millis_training: 5334.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.7985, kappa: 0.5935, kb_relative_information_score: 1575.7737, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7988, predictive_accuracy: 0.799, prior_entropy: 0.9948, recall: 0.799, relative_absolute_error: 0.6144, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.7658, scimark_benchmark: 1723.9214, usercpu_time_millis: 5493.875, usercpu_time_millis_testing: 4.248, usercpu_time_millis_training: 5489.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.7974, kappa: 0.5914, kb_relative_information_score: 1573.747, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7978, predictive_accuracy: 0.7979, prior_entropy: 0.9948, recall: 0.7979, relative_absolute_error: 0.6144, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.7678, scimark_benchmark: 1816.671, usercpu_time_millis: 3535.469, usercpu_time_millis_testing: 2.162, usercpu_time_millis_training: 3533.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.7861, kappa: 0.5684, kb_relative_information_score: 1438.8415, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7866, predictive_accuracy: 0.7867, prior_entropy: 0.9948, recall: 0.7867, relative_absolute_error: 0.6508, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7892, scimark_benchmark: 1759.3874, usercpu_time_millis: 4311.746, usercpu_time_millis_testing: 3.62, usercpu_time_millis_training: 4308.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.8091, kappa: 0.615, kb_relative_information_score: 1742.457, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8092, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.5653, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7499, scimark_benchmark: 1854.4951, usercpu_time_millis: 2186.462, usercpu_time_millis_testing: 1.79, usercpu_time_millis_training: 2184.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.8015, kappa: 0.5996, kb_relative_information_score: 1518.345, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8017, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.6311, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7697, scimark_benchmark: 1737.4425, usercpu_time_millis: 183.081, usercpu_time_millis_testing: 1.035, usercpu_time_millis_training: 182.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.1685, 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: 1360.2285, usercpu_time_millis: 6.968, usercpu_time_millis_testing: 1.183, usercpu_time_millis_training: 5.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, f_measure: 0.7214, kappa: 0.4379, kb_relative_information_score: 443.9302, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7237, predictive_accuracy: 0.7235, prior_entropy: 0.9948, recall: 0.7235, relative_absolute_error: 0.9076, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9224, scimark_benchmark: 1755.8139, usercpu_time_millis: 30.739, usercpu_time_millis_testing: 1.294, usercpu_time_millis_training: 29.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.7845, kappa: 0.5653, kb_relative_information_score: 1310.4303, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7849, predictive_accuracy: 0.7851, prior_entropy: 0.9948, recall: 0.7851, relative_absolute_error: 0.6888, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7955, scimark_benchmark: 1756.2556, usercpu_time_millis: 383.26, usercpu_time_millis_testing: 2.821, usercpu_time_millis_training: 380.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.7902, kappa: 0.5768, kb_relative_information_score: 1530.0557, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7905, predictive_accuracy: 0.7907, prior_entropy: 0.9948, recall: 0.7907, relative_absolute_error: 0.6261, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7755, scimark_benchmark: 1718.188, usercpu_time_millis: 2645.336, usercpu_time_millis_testing: 1.968, usercpu_time_millis_training: 2643.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.7177, kappa: 0.4304, kb_relative_information_score: 629.1689, mean_absolute_error: 0.4288, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7181, predictive_accuracy: 0.7187, prior_entropy: 0.9948, recall: 0.7187, relative_absolute_error: 0.8639, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.8925, scimark_benchmark: 1364.5744, usercpu_time_millis: 54.154, usercpu_time_millis_testing: 2.155, usercpu_time_millis_training: 51.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.8011, kappa: 0.599, kb_relative_information_score: 1353.5487, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8012, predictive_accuracy: 0.8014, prior_entropy: 0.9948, recall: 0.8014, relative_absolute_error: 0.679, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7792, scimark_benchmark: 1728.4686, usercpu_time_millis: 503.122, usercpu_time_millis_testing: 4.783, usercpu_time_millis_training: 498.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.7788, kappa: 0.5537, kb_relative_information_score: 1364.948, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7799, predictive_accuracy: 0.7798, prior_entropy: 0.9948, recall: 0.7798, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8003, scimark_benchmark: 1878.2059, usercpu_time_millis: 610.937, usercpu_time_millis_testing: 1.022, usercpu_time_millis_training: 609.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.7837, kappa: 0.5637, kb_relative_information_score: 1468.6683, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7841, predictive_accuracy: 0.7843, prior_entropy: 0.9948, recall: 0.7843, relative_absolute_error: 0.6421, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7864, scimark_benchmark: 1719.8214, usercpu_time_millis: 8280.33, usercpu_time_millis_testing: 3.383, usercpu_time_millis_training: 8276.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.7366, kappa: 0.4703, kb_relative_information_score: 802.1978, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7373, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.824, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8744, scimark_benchmark: 1727.044, usercpu_time_millis: 94.954, usercpu_time_millis_testing: 1.425, usercpu_time_millis_training: 93.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8071, kappa: 0.611, kb_relative_information_score: 1682.8025, mean_absolute_error: 0.2896, 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: 0.5833, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7515, scimark_benchmark: 1713.6262, usercpu_time_millis: 288.155, usercpu_time_millis_testing: 1.367, usercpu_time_millis_training: 286.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.7875, kappa: 0.5714, kb_relative_information_score: 1467.0199, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7878, predictive_accuracy: 0.7881, prior_entropy: 0.9948, recall: 0.7881, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.7857, scimark_benchmark: 1833.6549, usercpu_time_millis: 4851.165, usercpu_time_millis_testing: 3.314, usercpu_time_millis_training: 4847.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.7445, kappa: 0.4851, kb_relative_information_score: 1202.2363, mean_absolute_error: 0.3557, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7508, predictive_accuracy: 0.7478, prior_entropy: 0.9948, recall: 0.7478, relative_absolute_error: 0.7164, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.838, scimark_benchmark: 1356.4757, usercpu_time_millis: 387.79, usercpu_time_millis_testing: 1.149, usercpu_time_millis_training: 386.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.7883, kappa: 0.573, kb_relative_information_score: 1472.1357, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7887, predictive_accuracy: 0.7889, prior_entropy: 0.9948, recall: 0.7889, relative_absolute_error: 0.6427, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.39, root_relative_squared_error: 0.7828, scimark_benchmark: 1362.4389, usercpu_time_millis: 5477.892, usercpu_time_millis_testing: 4.628, usercpu_time_millis_training: 5473.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.7465, kappa: 0.4891, kb_relative_information_score: 1224.0689, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7524, predictive_accuracy: 0.7497, prior_entropy: 0.9948, recall: 0.7497, relative_absolute_error: 0.7102, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.832, scimark_benchmark: 1730.1287, usercpu_time_millis: 232.055, usercpu_time_millis_testing: 0.777, usercpu_time_millis_training: 231.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8012, kappa: 0.599, kb_relative_information_score: 1331.5037, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8015, predictive_accuracy: 0.8017, prior_entropy: 0.9948, recall: 0.8017, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7837, scimark_benchmark: 1736.9559, usercpu_time_millis: 198.866, usercpu_time_millis_testing: 3.082, usercpu_time_millis_training: 195.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.8007, kappa: 0.5981, kb_relative_information_score: 1313.9591, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8009, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.6892, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.7869, scimark_benchmark: 1711.2633, usercpu_time_millis: 178.67, usercpu_time_millis_testing: 2.23, usercpu_time_millis_training: 176.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.7998, kappa: 0.5962, kb_relative_information_score: 1436.999, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8002, predictive_accuracy: 0.8003, prior_entropy: 0.9948, recall: 0.8003, relative_absolute_error: 0.6551, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.7749, scimark_benchmark: 1733.3606, usercpu_time_millis: 363.587, usercpu_time_millis_testing: 2.112, usercpu_time_millis_training: 361.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.8041, kappa: 0.6047, kb_relative_information_score: 1651.0209, mean_absolute_error: 0.2944, 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: 0.593, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7556, scimark_benchmark: 1738.3274, usercpu_time_millis: 9648.949, usercpu_time_millis_testing: 5.839, usercpu_time_millis_training: 9643.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.8029, kappa: 0.6026, kb_relative_information_score: 1428.3519, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.803, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.775, scimark_benchmark: 1857.5664, usercpu_time_millis: 676.457, usercpu_time_millis_testing: 2.473, usercpu_time_millis_training: 673.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.7859, kappa: 0.5682, kb_relative_information_score: 1450.9159, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7859, predictive_accuracy: 0.7862, prior_entropy: 0.9948, recall: 0.7862, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7903, scimark_benchmark: 1364.0368, usercpu_time_millis: 156.025, usercpu_time_millis_testing: 0.969, usercpu_time_millis_training: 155.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.7633, kappa: 0.5227, kb_relative_information_score: 1252.8985, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7634, predictive_accuracy: 0.7638, prior_entropy: 0.9948, recall: 0.7638, relative_absolute_error: 0.6997, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8232, scimark_benchmark: 1850.2875, usercpu_time_millis: 598.157, usercpu_time_millis_testing: 1.868, usercpu_time_millis_training: 596.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8047, kappa: 0.606, kb_relative_information_score: 1680.5041, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.805, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.5832, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7559, scimark_benchmark: 1358.0495, usercpu_time_millis: 3024.444, usercpu_time_millis_testing: 1.748, usercpu_time_millis_training: 3022.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8103, kappa: 0.6175, kb_relative_information_score: 1663.957, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8106, predictive_accuracy: 0.8107, prior_entropy: 0.9948, recall: 0.8107, relative_absolute_error: 0.5898, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7513, scimark_benchmark: 1363.1556, usercpu_time_millis: 9817.191, usercpu_time_millis_testing: 7.657, usercpu_time_millis_training: 9809.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.8091, kappa: 0.615, kb_relative_information_score: 1727.9789, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8092, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.57, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7494, scimark_benchmark: 1364.7493, usercpu_time_millis: 6571.729, usercpu_time_millis_testing: 3.658, usercpu_time_millis_training: 6568.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.786, kappa: 0.5683, kb_relative_information_score: 1478.9764, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7862, predictive_accuracy: 0.7865, prior_entropy: 0.9948, recall: 0.7865, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.7841, scimark_benchmark: 1757.8345, usercpu_time_millis: 8368.924, usercpu_time_millis_testing: 3.655, usercpu_time_millis_training: 8365.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7781, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 892.7376, mean_absolute_error: 0.3976, 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: 0.8009, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8792, scimark_benchmark: 1359.9971, usercpu_time_millis: 130.508, usercpu_time_millis_testing: 1.261, usercpu_time_millis_training: 129.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.1708, 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: 1850.2875, usercpu_time_millis: 9.051, usercpu_time_millis_testing: 1.451, usercpu_time_millis_training: 7.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.8021, kappa: 0.6008, kb_relative_information_score: 1562.8169, mean_absolute_error: 0.3067, 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: 0.6178, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7654, scimark_benchmark: 1359.4953, usercpu_time_millis: 6904.524, usercpu_time_millis_testing: 5.537, usercpu_time_millis_training: 6898.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.7813, kappa: 0.5587, kb_relative_information_score: 1332.3465, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7823, predictive_accuracy: 0.7822, prior_entropy: 0.9948, recall: 0.7822, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.7994, scimark_benchmark: 1359.7599, usercpu_time_millis: 3084.19, usercpu_time_millis_testing: 4.566, usercpu_time_millis_training: 3079.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.8106, kappa: 0.618, kb_relative_information_score: 1513.3363, mean_absolute_error: 0.315, 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: 0.6346, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7612, scimark_benchmark: 1759.9521, usercpu_time_millis: 698.162, usercpu_time_millis_testing: 4.65, usercpu_time_millis_training: 693.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1547, 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: 1727.044, usercpu_time_millis: 7.051, usercpu_time_millis_testing: 1.082, usercpu_time_millis_training: 5.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.7995, kappa: 0.5956, kb_relative_information_score: 1543.1272, mean_absolute_error: 0.3098, 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: 0.6241, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7692, scimark_benchmark: 1714.7312, usercpu_time_millis: 1790.762, usercpu_time_millis_testing: 2.236, usercpu_time_millis_training: 1788.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.7993, kappa: 0.5952, kb_relative_information_score: 1540.8827, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7996, predictive_accuracy: 0.7998, prior_entropy: 0.9948, recall: 0.7998, relative_absolute_error: 0.6246, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.7676, scimark_benchmark: 1804.1374, usercpu_time_millis: 779.246, usercpu_time_millis_testing: 1.482, usercpu_time_millis_training: 777.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8103, kappa: 0.6173, kb_relative_information_score: 1425.5581, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8106, predictive_accuracy: 0.8107, prior_entropy: 0.9948, recall: 0.8107, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.7711, scimark_benchmark: 1360.3673, usercpu_time_millis: 426.83, usercpu_time_millis_testing: 2.551, usercpu_time_millis_training: 424.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8055, kappa: 0.6078, kb_relative_information_score: 1614.8214, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8057, predictive_accuracy: 0.8059, prior_entropy: 0.9948, recall: 0.8059, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7557, scimark_benchmark: 1808.78, usercpu_time_millis: 2574.637, usercpu_time_millis_testing: 2.906, usercpu_time_millis_training: 2571.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.796, kappa: 0.5884, kb_relative_information_score: 1519.7123, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7965, predictive_accuracy: 0.7966, prior_entropy: 0.9948, recall: 0.7966, relative_absolute_error: 0.6307, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7715, scimark_benchmark: 1749.1604, usercpu_time_millis: 1391.291, usercpu_time_millis_testing: 2.342, usercpu_time_millis_training: 1388.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.8081, kappa: 0.613, kb_relative_information_score: 1593.2148, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8085, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.6112, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7554, scimark_benchmark: 1359.3697, usercpu_time_millis: 4142.232, usercpu_time_millis_testing: 5.281, usercpu_time_millis_training: 4136.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7498, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 979.2297, mean_absolute_error: 0.3862, 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: 0.7779, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8812, scimark_benchmark: 1361.0651, usercpu_time_millis: 429.803, usercpu_time_millis_testing: 1.665, usercpu_time_millis_training: 428.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.8004, kappa: 0.5974, kb_relative_information_score: 1587.4797, mean_absolute_error: 0.3032, 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: 0.6108, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7648, scimark_benchmark: 1726.6048, usercpu_time_millis: 7188.618, usercpu_time_millis_testing: 3.605, usercpu_time_millis_training: 7185.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.8028, kappa: 0.6022, kb_relative_information_score: 1498.4428, mean_absolute_error: 0.3166, 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: 0.6377, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.7684, scimark_benchmark: 1360.7103, usercpu_time_millis: 2579.953, usercpu_time_millis_testing: 4.706, usercpu_time_millis_training: 2575.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.7596, kappa: 0.515, kb_relative_information_score: 1360.673, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.763, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8096, scimark_benchmark: 1805.3732, usercpu_time_millis: 1855.583, usercpu_time_millis_testing: 1.386, usercpu_time_millis_training: 1854.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.8033, kappa: 0.6032, kb_relative_information_score: 1633.1692, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8037, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.598, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7582, scimark_benchmark: 1370.5507, usercpu_time_millis: 10463.259, usercpu_time_millis_testing: 3.589, usercpu_time_millis_training: 10459.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.075, 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: 1359.5397, usercpu_time_millis: 7.321, usercpu_time_millis_testing: 1.256, usercpu_time_millis_training: 6.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.8011, kappa: 0.5989, kb_relative_information_score: 1653.37, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8015, predictive_accuracy: 0.8017, prior_entropy: 0.9948, recall: 0.8017, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7598, scimark_benchmark: 1729.5058, usercpu_time_millis: 6845.349, usercpu_time_millis_testing: 3.617, usercpu_time_millis_training: 6841.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8101, kappa: 0.6169, kb_relative_information_score: 1666.6254, mean_absolute_error: 0.2923, 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: 0.5888, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7513, scimark_benchmark: 1805.0025, usercpu_time_millis: 4917.536, usercpu_time_millis_testing: 4.681, usercpu_time_millis_training: 4912.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7927, kappa: 0.5819, kb_relative_information_score: 1540.3948, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7933, predictive_accuracy: 0.7934, prior_entropy: 0.9948, recall: 0.7934, relative_absolute_error: 0.6233, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.774, scimark_benchmark: 1343.4827, usercpu_time_millis: 12699.125, usercpu_time_millis_testing: 4.136, usercpu_time_millis_training: 12694.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.7884, kappa: 0.5731, kb_relative_information_score: 1248.2316, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7891, predictive_accuracy: 0.7891, prior_entropy: 0.9948, recall: 0.7891, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.798, scimark_benchmark: 1735.0264, usercpu_time_millis: 139.595, usercpu_time_millis_testing: 2.256, usercpu_time_millis_training: 137.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.7879, kappa: 0.5721, kb_relative_information_score: 1476.6486, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7881, predictive_accuracy: 0.7883, prior_entropy: 0.9948, recall: 0.7883, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.7841, scimark_benchmark: 1352.1106, usercpu_time_millis: 7519.349, usercpu_time_millis_testing: 2.653, usercpu_time_millis_training: 7516.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.7527, kappa: 0.501, kb_relative_information_score: 1023.2949, mean_absolute_error: 0.3809, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7534, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.7674, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.422, root_relative_squared_error: 0.847, scimark_benchmark: 1818.7568, usercpu_time_millis: 38.008, usercpu_time_millis_testing: 0.724, usercpu_time_millis_training: 37.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.8061, kappa: 0.6089, kb_relative_information_score: 1656.5281, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8063, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.5916, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7542, scimark_benchmark: 1360.5651, usercpu_time_millis: 9272.792, usercpu_time_millis_testing: 5.665, usercpu_time_millis_training: 9267.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.8085, kappa: 0.6139, kb_relative_information_score: 1749.1828, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8084, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.5642, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7442, scimark_benchmark: 1361.9548, usercpu_time_millis: 4042.847, usercpu_time_millis_testing: 7.134, usercpu_time_millis_training: 4035.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.7488, kappa: 0.4931, kb_relative_information_score: 877.1429, mean_absolute_error: 0.3991, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7502, predictive_accuracy: 0.7502, prior_entropy: 0.9948, recall: 0.7502, relative_absolute_error: 0.804, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.8567, scimark_benchmark: 1355.3406, usercpu_time_millis: 261.934, usercpu_time_millis_testing: 2.22, usercpu_time_millis_training: 259.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.7879, kappa: 0.5721, kb_relative_information_score: 1223.9155, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7881, predictive_accuracy: 0.7883, prior_entropy: 0.9948, recall: 0.7883, relative_absolute_error: 0.7134, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.7982, scimark_benchmark: 1347.499, usercpu_time_millis: 264.587, usercpu_time_millis_testing: 4.785, usercpu_time_millis_training: 259.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.7657, kappa: 0.5274, kb_relative_information_score: 912.3731, mean_absolute_error: 0.3947, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7658, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.7951, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8431, scimark_benchmark: 1843.7454, usercpu_time_millis: 17.71, usercpu_time_millis_testing: 1.396, usercpu_time_millis_training: 16.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.7496, kappa: 0.4955, kb_relative_information_score: 1246.5047, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.756, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.7026, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8382, scimark_benchmark: 1946.3858, usercpu_time_millis: 1727.205, usercpu_time_millis_testing: 1.56, usercpu_time_millis_training: 1725.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.807, kappa: 0.6107, kb_relative_information_score: 1671.9087, mean_absolute_error: 0.2911, 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: 0.5863, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7558, scimark_benchmark: 1850.0015, usercpu_time_millis: 6181.914, usercpu_time_millis_testing: 2.828, usercpu_time_millis_training: 6179.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.7985, kappa: 0.5936, kb_relative_information_score: 1592.2236, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7988, predictive_accuracy: 0.799, prior_entropy: 0.9948, recall: 0.799, relative_absolute_error: 0.6089, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.7656, scimark_benchmark: 1852.9259, usercpu_time_millis: 4740.989, usercpu_time_millis_testing: 2.154, usercpu_time_millis_training: 4738.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.7864, kappa: 0.5691, kb_relative_information_score: 1553.9543, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7868, predictive_accuracy: 0.787, prior_entropy: 0.9948, recall: 0.787, relative_absolute_error: 0.6158, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7834, scimark_benchmark: 1835.2001, usercpu_time_millis: 3312.628, usercpu_time_millis_testing: 1.402, usercpu_time_millis_training: 3311.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.776, kappa: 0.5479, kb_relative_information_score: 1347.4277, mean_absolute_error: 0.3346, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7775, predictive_accuracy: 0.7771, prior_entropy: 0.9948, recall: 0.7771, relative_absolute_error: 0.6741, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8069, scimark_benchmark: 1843.3864, usercpu_time_millis: 3842.504, usercpu_time_millis_testing: 2.292, usercpu_time_millis_training: 3840.212,

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