OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.7562, kappa: 0.5081, kb_relative_information_score: 957.2117, mean_absolute_error: 0.389, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7579, predictive_accuracy: 0.7577, prior_entropy: 0.9948, recall: 0.7577, relative_absolute_error: 0.7835, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8476, scimark_benchmark: 1853.9121, usercpu_time_millis: 10.053, usercpu_time_millis_testing: 0.702, usercpu_time_millis_training: 9.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.3656, mean_absolute_error: 0.4965, 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: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1854.4431, usercpu_time_millis: 4.293, usercpu_time_millis_testing: 0.684, usercpu_time_millis_training: 3.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3813, kb_relative_information_score: 0.041, 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: 1844.3569, usercpu_time_millis: 5.276, usercpu_time_millis_testing: 0.767, usercpu_time_millis_training: 4.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.7908, kappa: 0.5779, kb_relative_information_score: 1519.8722, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.791, predictive_accuracy: 0.7913, prior_entropy: 0.9948, recall: 0.7913, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.388, root_relative_squared_error: 0.7788, scimark_benchmark: 1851.3986, usercpu_time_millis: 6934.374, usercpu_time_millis_testing: 2.089, usercpu_time_millis_training: 6932.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.804, kappa: 0.6049, kb_relative_information_score: 1768.2776, mean_absolute_error: 0.2763, 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: 0.5565, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7515, scimark_benchmark: 1831.6164, usercpu_time_millis: 6534.725, usercpu_time_millis_testing: 4.143, usercpu_time_millis_training: 6530.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.7732, kappa: 0.5423, kb_relative_information_score: 1412.4601, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7743, predictive_accuracy: 0.7742, prior_entropy: 0.9948, recall: 0.7742, relative_absolute_error: 0.6565, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.7999, scimark_benchmark: 1820.9783, usercpu_time_millis: 4870.959, usercpu_time_millis_testing: 2.695, usercpu_time_millis_training: 4868.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8579, f_measure: 0.7906, kappa: 0.5776, kb_relative_information_score: 1451.1467, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7907, predictive_accuracy: 0.791, prior_entropy: 0.9948, recall: 0.791, relative_absolute_error: 0.6482, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.7843, scimark_benchmark: 1833.265, usercpu_time_millis: 4422.266, usercpu_time_millis_testing: 4.085, usercpu_time_millis_training: 4418.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.7944, kappa: 0.5852, kb_relative_information_score: 1497.3688, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7949, predictive_accuracy: 0.795, prior_entropy: 0.9948, recall: 0.795, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.777, scimark_benchmark: 1732.2055, usercpu_time_millis: 3241.334, usercpu_time_millis_testing: 3.081, usercpu_time_millis_training: 3238.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.8074, kappa: 0.6116, kb_relative_information_score: 1677.5097, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8076, predictive_accuracy: 0.8078, prior_entropy: 0.9948, recall: 0.8078, relative_absolute_error: 0.5853, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7523, scimark_benchmark: 1828.0079, usercpu_time_millis: 1891.896, usercpu_time_millis_testing: 1.78, usercpu_time_millis_training: 1890.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7539, kappa: 0.5036, kb_relative_information_score: 1222.0777, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7573, predictive_accuracy: 0.7561, prior_entropy: 0.9948, recall: 0.7561, relative_absolute_error: 0.711, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8279, scimark_benchmark: 1830.8274, usercpu_time_millis: 1139.712, usercpu_time_millis_testing: 1.713, usercpu_time_millis_training: 1137.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.798, kappa: 0.5925, kb_relative_information_score: 1543.6436, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7983, predictive_accuracy: 0.7985, prior_entropy: 0.9948, recall: 0.7985, relative_absolute_error: 0.6233, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.7724, scimark_benchmark: 2109.3949, usercpu_time_millis: 999.423, usercpu_time_millis_testing: 1.259, usercpu_time_millis_training: 998.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7469, kappa: 0.4896, kb_relative_information_score: 1265.3267, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7509, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.6969, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8378, scimark_benchmark: 1835.6503, usercpu_time_millis: 930.986, usercpu_time_millis_testing: 1.232, usercpu_time_millis_training: 929.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8097, kappa: 0.6163, kb_relative_information_score: 1744.9434, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8097, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.5652, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7449, scimark_benchmark: 1853.9121, usercpu_time_millis: 867.925, usercpu_time_millis_testing: 3.042, usercpu_time_millis_training: 864.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8031, kappa: 0.6029, kb_relative_information_score: 1572.9836, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8033, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.6162, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7601, scimark_benchmark: 1851.3986, usercpu_time_millis: 764.058, usercpu_time_millis_testing: 1.626, usercpu_time_millis_training: 762.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.802, kappa: 0.6006, kb_relative_information_score: 1610.6755, mean_absolute_error: 0.3001, 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: 0.6046, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.7585, scimark_benchmark: 2106.4871, usercpu_time_millis: 516.32, usercpu_time_millis_testing: 1.236, usercpu_time_millis_training: 515.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.7786, kappa: 0.5534, kb_relative_information_score: 1214.4174, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.779, predictive_accuracy: 0.7793, prior_entropy: 0.9948, recall: 0.7793, relative_absolute_error: 0.7141, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8081, scimark_benchmark: 1832.6993, usercpu_time_millis: 286.558, usercpu_time_millis_testing: 1.995, usercpu_time_millis_training: 284.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.7742, kappa: 0.5444, kb_relative_information_score: 1184.5491, mean_absolute_error: 0.3583, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7748, predictive_accuracy: 0.775, prior_entropy: 0.9948, recall: 0.775, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8142, scimark_benchmark: 1849.8294, usercpu_time_millis: 261.434, usercpu_time_millis_testing: 2.032, usercpu_time_millis_training: 259.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.7368, kappa: 0.4714, kb_relative_information_score: 1034.8444, mean_absolute_error: 0.3783, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.7621, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.8652, scimark_benchmark: 1759.111, usercpu_time_millis: 106.697, usercpu_time_millis_testing: 0.732, usercpu_time_millis_training: 105.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: -0.0037, 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: 1852.9988, usercpu_time_millis: 9.045, usercpu_time_millis_testing: 1.364, usercpu_time_millis_training: 7.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.0449, 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: 1735.3758, usercpu_time_millis: 8.252, usercpu_time_millis_testing: 1.215, usercpu_time_millis_training: 7.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.1057, 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: 1761.9033, usercpu_time_millis: 7.868, usercpu_time_millis_testing: 1.12, usercpu_time_millis_training: 6.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.7325, kappa: 0.461, kb_relative_information_score: 394.3597, mean_absolute_error: 0.4561, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7388, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9305, scimark_benchmark: 1765.6748, usercpu_time_millis: 8.532, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 7.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.8015, kappa: 0.5996, kb_relative_information_score: 1663.3011, mean_absolute_error: 0.2918, 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: 0.5879, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7602, scimark_benchmark: 1058.6574, usercpu_time_millis: 12837.244, usercpu_time_millis_testing: 4.799, usercpu_time_millis_training: 12832.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8063, kappa: 0.6092, kb_relative_information_score: 1656.7061, mean_absolute_error: 0.2937, 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: 0.5916, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7544, scimark_benchmark: 1826.8494, usercpu_time_millis: 8386.179, usercpu_time_millis_testing: 4.888, usercpu_time_millis_training: 8381.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.7999, kappa: 0.5965, kb_relative_information_score: 1579.0886, mean_absolute_error: 0.3041, 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: 0.6126, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7653, scimark_benchmark: 1820.0005, usercpu_time_millis: 2605.105, usercpu_time_millis_testing: 2.377, usercpu_time_millis_training: 2602.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8101, kappa: 0.617, kb_relative_information_score: 1704.9878, mean_absolute_error: 0.2865, 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: 0.5771, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7507, scimark_benchmark: 1820.3086, usercpu_time_millis: 2552.241, usercpu_time_millis_testing: 2.386, usercpu_time_millis_training: 2549.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.7731, kappa: 0.5423, kb_relative_information_score: 1288.3879, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7738, predictive_accuracy: 0.7739, prior_entropy: 0.9948, recall: 0.7739, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8136, scimark_benchmark: 1818.3938, usercpu_time_millis: 1762.706, usercpu_time_millis_testing: 2.751, usercpu_time_millis_training: 1759.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.7586, kappa: 0.5129, kb_relative_information_score: 1255.317, mean_absolute_error: 0.3481, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7618, predictive_accuracy: 0.7606, prior_entropy: 0.9948, recall: 0.7606, relative_absolute_error: 0.7012, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8223, scimark_benchmark: 2120.0789, usercpu_time_millis: 1594.815, usercpu_time_millis_testing: 1.834, usercpu_time_millis_training: 1592.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.7903, kappa: 0.577, kb_relative_information_score: 1491.9835, mean_absolute_error: 0.3162, 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: 0.6369, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7816, scimark_benchmark: 1841.1577, usercpu_time_millis: 1275.598, usercpu_time_millis_testing: 1.584, usercpu_time_millis_training: 1274.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.7852, kappa: 0.5667, kb_relative_information_score: 1385.8892, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7854, predictive_accuracy: 0.7857, prior_entropy: 0.9948, recall: 0.7857, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7914, scimark_benchmark: 1795.6915, usercpu_time_millis: 758.158, usercpu_time_millis_testing: 2.244, usercpu_time_millis_training: 755.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.7769, kappa: 0.55, kb_relative_information_score: 1342.0422, mean_absolute_error: 0.3361, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7775, predictive_accuracy: 0.7777, prior_entropy: 0.9948, recall: 0.7777, relative_absolute_error: 0.677, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8054, scimark_benchmark: 1843.657, usercpu_time_millis: 418.8, usercpu_time_millis_testing: 1.379, usercpu_time_millis_training: 417.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.7877, kappa: 0.5716, kb_relative_information_score: 1414.1996, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7882, predictive_accuracy: 0.7883, prior_entropy: 0.9948, recall: 0.7883, relative_absolute_error: 0.6583, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.393, root_relative_squared_error: 0.7889, scimark_benchmark: 1794.7629, usercpu_time_millis: 372.9, usercpu_time_millis_testing: 1.161, usercpu_time_millis_training: 371.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 933.4469, mean_absolute_error: 0.3923, 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: 0.7902, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8713, scimark_benchmark: 1827.2985, usercpu_time_millis: 316.372, usercpu_time_millis_testing: 1.655, usercpu_time_millis_training: 314.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, f_measure: 0.795, kappa: 0.5864, kb_relative_information_score: 1459.1815, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7954, predictive_accuracy: 0.7955, prior_entropy: 0.9948, recall: 0.7955, relative_absolute_error: 0.6474, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.7781, scimark_benchmark: 1828.7078, usercpu_time_millis: 269.398, usercpu_time_millis_testing: 1.515, usercpu_time_millis_training: 267.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.7784, kappa: 0.5531, kb_relative_information_score: 1091.5782, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7784, predictive_accuracy: 0.7787, prior_entropy: 0.9948, recall: 0.7787, relative_absolute_error: 0.7475, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8205, scimark_benchmark: 2065.6279, usercpu_time_millis: 101.962, usercpu_time_millis_testing: 2.011, usercpu_time_millis_training: 99.951,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.7371, kappa: 0.4711, kb_relative_information_score: 940.0552, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7376, 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: 0.4281, root_relative_squared_error: 0.8593, scimark_benchmark: 1059.796, usercpu_time_millis: 61.364, usercpu_time_millis_testing: 1.338, usercpu_time_millis_training: 60.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.7477, kappa: 0.491, kb_relative_information_score: 446.8259, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7511, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.907, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9221, scimark_benchmark: 1797.6782, usercpu_time_millis: 33.587, usercpu_time_millis_testing: 1.029, usercpu_time_millis_training: 32.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.0506, 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: 1853.3841, usercpu_time_millis: 8.55, usercpu_time_millis_testing: 1.188, usercpu_time_millis_training: 7.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.1068, 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: 1848.4799, usercpu_time_millis: 5.27, usercpu_time_millis_testing: 0.789, usercpu_time_millis_training: 4.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.3813, kb_relative_information_score: -0.5532, mean_absolute_error: 0.4965, 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: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1849.7595, usercpu_time_millis: 4.734, usercpu_time_millis_testing: 0.684, usercpu_time_millis_training: 4.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.7987, kappa: 0.594, kb_relative_information_score: 1590.5352, mean_absolute_error: 0.3025, 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: 0.6093, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7662, scimark_benchmark: 1851.8567, usercpu_time_millis: 9023.885, usercpu_time_millis_testing: 3.256, usercpu_time_millis_training: 9020.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.7867, kappa: 0.5698, kb_relative_information_score: 1470.6899, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.787, predictive_accuracy: 0.7873, prior_entropy: 0.9948, recall: 0.7873, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.7844, scimark_benchmark: 1848.2615, usercpu_time_millis: 5778.314, usercpu_time_millis_testing: 2.953, usercpu_time_millis_training: 5775.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.8014, kappa: 0.5993, kb_relative_information_score: 1606.7685, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8018, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7609, scimark_benchmark: 1852.3877, usercpu_time_millis: 4216.091, usercpu_time_millis_testing: 2.858, usercpu_time_millis_training: 4213.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.7475, kappa: 0.4905, kb_relative_information_score: 519.0328, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7494, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9107, scimark_benchmark: 1482.7098, usercpu_time_millis: 33.93, usercpu_time_millis_testing: 0.89, usercpu_time_millis_training: 33.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.7624, kappa: 0.5205, kb_relative_information_score: 1126.2917, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7642, predictive_accuracy: 0.7638, prior_entropy: 0.9948, recall: 0.7638, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8263, scimark_benchmark: 1498.8238, usercpu_time_millis: 680.52, usercpu_time_millis_testing: 1.79, usercpu_time_millis_training: 678.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.809, kappa: 0.6147, kb_relative_information_score: 1592.0375, mean_absolute_error: 0.3035, 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: 0.6114, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.756, scimark_benchmark: 1510.4223, usercpu_time_millis: 3187.92, usercpu_time_millis_testing: 4.83, usercpu_time_millis_training: 3183.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.8076, kappa: 0.612, kb_relative_information_score: 1625.8984, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8079, predictive_accuracy: 0.8081, prior_entropy: 0.9948, recall: 0.8081, relative_absolute_error: 0.6008, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7561, scimark_benchmark: 1849.8294, usercpu_time_millis: 2638.126, usercpu_time_millis_testing: 2.471, usercpu_time_millis_training: 2635.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.7985, kappa: 0.5936, kb_relative_information_score: 1569.3901, mean_absolute_error: 0.3055, 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: 0.6155, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.7677, scimark_benchmark: 1492.9686, usercpu_time_millis: 8844.99, usercpu_time_millis_testing: 2.74, usercpu_time_millis_training: 8842.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7554, kappa: 0.5067, kb_relative_information_score: 1264.3248, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7591, predictive_accuracy: 0.7577, prior_entropy: 0.9948, recall: 0.7577, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8224, scimark_benchmark: 1853.9121, usercpu_time_millis: 1548.339, usercpu_time_millis_testing: 1.72, usercpu_time_millis_training: 1546.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.7747, kappa: 0.5454, kb_relative_information_score: 1408.0019, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7754, predictive_accuracy: 0.7755, prior_entropy: 0.9948, recall: 0.7755, relative_absolute_error: 0.6582, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.7992, scimark_benchmark: 1850.8185, usercpu_time_millis: 1533.891, usercpu_time_millis_testing: 1.334, usercpu_time_millis_training: 1532.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.811, kappa: 0.6189, kb_relative_information_score: 1723.2389, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.811, predictive_accuracy: 0.8113, prior_entropy: 0.9948, recall: 0.8113, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7466, scimark_benchmark: 1803.584, usercpu_time_millis: 768.655, usercpu_time_millis_testing: 1.657, usercpu_time_millis_training: 766.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.7502, kappa: 0.4962, kb_relative_information_score: 1195.0545, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.755, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.7188, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8323, scimark_benchmark: 1850.2875, usercpu_time_millis: 720.306, usercpu_time_millis_testing: 1.28, usercpu_time_millis_training: 719.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.7777, kappa: 0.5515, kb_relative_information_score: 1532.2471, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7783, predictive_accuracy: 0.7785, prior_entropy: 0.9948, recall: 0.7785, relative_absolute_error: 0.6208, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.7907, scimark_benchmark: 1850.8185, usercpu_time_millis: 373.042, usercpu_time_millis_testing: 0.667, usercpu_time_millis_training: 372.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7491, kappa: 0.4941, kb_relative_information_score: 1244.4544, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7537, predictive_accuracy: 0.7518, prior_entropy: 0.9948, recall: 0.7518, relative_absolute_error: 0.7042, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8266, scimark_benchmark: 1854.4431, usercpu_time_millis: 324.885, usercpu_time_millis_testing: 0.777, usercpu_time_millis_training: 324.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 812.2445, mean_absolute_error: 0.4077, 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: 0.8213, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8817, scimark_benchmark: 1849.8294, usercpu_time_millis: 305.336, usercpu_time_millis_testing: 1.538, usercpu_time_millis_training: 303.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.811, kappa: 0.6188, kb_relative_information_score: 1518.3435, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8111, predictive_accuracy: 0.8113, prior_entropy: 0.9948, recall: 0.8113, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7574, scimark_benchmark: 1838.6792, usercpu_time_millis: 278.171, usercpu_time_millis_testing: 3.873, usercpu_time_millis_training: 274.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 946.3083, mean_absolute_error: 0.3906, 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: 0.7868, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.875, scimark_benchmark: 1853.9121, usercpu_time_millis: 199.702, usercpu_time_millis_testing: 1.41, usercpu_time_millis_training: 198.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.7367, kappa: 0.4708, kb_relative_information_score: 792.2822, mean_absolute_error: 0.4103, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7377, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.8264, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.88, scimark_benchmark: 1849.7595, usercpu_time_millis: 107.297, usercpu_time_millis_testing: 1.011, usercpu_time_millis_training: 106.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.7865, kappa: 0.5694, kb_relative_information_score: 1426.5564, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7867, predictive_accuracy: 0.787, prior_entropy: 0.9948, recall: 0.787, relative_absolute_error: 0.6553, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.7881, scimark_benchmark: 1459.625, usercpu_time_millis: 1935.83, usercpu_time_millis_testing: 2.23, usercpu_time_millis_training: 1933.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7394, kappa: 0.4742, kb_relative_information_score: 546.5264, mean_absolute_error: 0.4391, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7399, predictive_accuracy: 0.7403, prior_entropy: 0.9948, recall: 0.7403, relative_absolute_error: 0.8846, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9067, scimark_benchmark: 1856.0123, usercpu_time_millis: 67.885, usercpu_time_millis_testing: 1.153, usercpu_time_millis_training: 66.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7368, kappa: 0.469, kb_relative_information_score: 588.281, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7372, predictive_accuracy: 0.7377, prior_entropy: 0.9948, recall: 0.7377, relative_absolute_error: 0.8746, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.8998, scimark_benchmark: 1857.5664, usercpu_time_millis: 47.886, usercpu_time_millis_testing: 1.456, usercpu_time_millis_training: 46.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.7534, kappa: 0.5023, kb_relative_information_score: 932.2164, mean_absolute_error: 0.3921, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7548, predictive_accuracy: 0.7547, prior_entropy: 0.9948, recall: 0.7547, relative_absolute_error: 0.7898, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4232, root_relative_squared_error: 0.8494, scimark_benchmark: 1846.6923, usercpu_time_millis: 39.759, usercpu_time_millis_testing: 0.856, usercpu_time_millis_training: 38.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7447, kappa: 0.4849, kb_relative_information_score: 508.7803, mean_absolute_error: 0.4436, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7457, predictive_accuracy: 0.7459, prior_entropy: 0.9948, recall: 0.7459, relative_absolute_error: 0.8936, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9119, scimark_benchmark: 1851.3986, usercpu_time_millis: 30.873, usercpu_time_millis_testing: 1.027, usercpu_time_millis_training: 29.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.0986, 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: 1846.1643, usercpu_time_millis: 6.814, usercpu_time_millis_testing: 1.024, usercpu_time_millis_training: 5.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.2678, 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: 1855.0232, usercpu_time_millis: 4.41, usercpu_time_millis_testing: 0.649, usercpu_time_millis_training: 3.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.7974, kappa: 0.5914, kb_relative_information_score: 1610.3726, mean_absolute_error: 0.2989, 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: 0.6021, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7685, scimark_benchmark: 1496.6471, usercpu_time_millis: 13008.85, usercpu_time_millis_testing: 3.51, usercpu_time_millis_training: 13005.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1084, 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: 1465.5802, usercpu_time_millis: 10.37, usercpu_time_millis_testing: 1.61, usercpu_time_millis_training: 8.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.7748, kappa: 0.5455, kb_relative_information_score: 1294.3341, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7759, predictive_accuracy: 0.7758, prior_entropy: 0.9948, recall: 0.7758, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.81, scimark_benchmark: 1461.6458, usercpu_time_millis: 792.4, usercpu_time_millis_testing: 1.18, usercpu_time_millis_training: 791.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: 0.0509, 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: 1432.3221, usercpu_time_millis: 7.26, usercpu_time_millis_testing: 1.35, usercpu_time_millis_training: 5.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8071, kappa: 0.611, kb_relative_information_score: 1621.8062, mean_absolute_error: 0.2989, 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: 0.6022, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7561, scimark_benchmark: 1447.678, usercpu_time_millis: 4375.45, usercpu_time_millis_testing: 2.89, usercpu_time_millis_training: 4372.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.7414, kappa: 0.4783, kb_relative_information_score: 701.951, mean_absolute_error: 0.4208, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7417, predictive_accuracy: 0.7422, prior_entropy: 0.9948, recall: 0.7422, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.8839, scimark_benchmark: 1478.4529, usercpu_time_millis: 44.18, usercpu_time_millis_testing: 0.95, usercpu_time_millis_training: 43.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.069, 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: 1487.1141, usercpu_time_millis: 6.4, usercpu_time_millis_testing: 1.05, usercpu_time_millis_training: 5.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8027, kappa: 0.602, kb_relative_information_score: 1624.431, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8032, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.6009, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.7579, scimark_benchmark: 1462.8616, usercpu_time_millis: 6131.4, usercpu_time_millis_testing: 2.67, usercpu_time_millis_training: 6128.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: 0.0356, 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: 1491.3199, usercpu_time_millis: 6.69, usercpu_time_millis_testing: 1.21, usercpu_time_millis_training: 5.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.7977, kappa: 0.592, kb_relative_information_score: 1591.9519, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.798, predictive_accuracy: 0.7982, prior_entropy: 0.9948, recall: 0.7982, relative_absolute_error: 0.6088, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7663, scimark_benchmark: 1496.916, usercpu_time_millis: 18573.83, usercpu_time_millis_testing: 4.8, usercpu_time_millis_training: 18569.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8037, kappa: 0.6041, kb_relative_information_score: 1596.1804, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8038, predictive_accuracy: 0.8041, prior_entropy: 0.9948, recall: 0.8041, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7628, scimark_benchmark: 1449.0095, usercpu_time_millis: 380.62, usercpu_time_millis_testing: 0.77, usercpu_time_millis_training: 379.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.77, kappa: 0.5358, kb_relative_information_score: 1294.7252, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7717, predictive_accuracy: 0.7713, prior_entropy: 0.9948, recall: 0.7713, relative_absolute_error: 0.6899, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8128, scimark_benchmark: 1440.8493, usercpu_time_millis: 4317.91, usercpu_time_millis_testing: 2.78, usercpu_time_millis_training: 4315.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7369, kappa: 0.4708, kb_relative_information_score: 860.3858, mean_absolute_error: 0.4017, 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: 0.8092, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.8702, scimark_benchmark: 1491.4678, usercpu_time_millis: 287.47, usercpu_time_millis_testing: 1.48, usercpu_time_millis_training: 285.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.7891, kappa: 0.5746, kb_relative_information_score: 1497.0295, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7895, predictive_accuracy: 0.7897, prior_entropy: 0.9948, recall: 0.7897, relative_absolute_error: 0.6347, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.781, scimark_benchmark: 1511.4747, usercpu_time_millis: 4535.97, usercpu_time_millis_testing: 1.59, usercpu_time_millis_training: 4534.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.7902, kappa: 0.5768, kb_relative_information_score: 1456.8004, mean_absolute_error: 0.3215, 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: 0.6477, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.7821, scimark_benchmark: 1477.3541, usercpu_time_millis: 4029.23, usercpu_time_millis_testing: 3.8, usercpu_time_millis_training: 4025.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.7949, kappa: 0.5862, kb_relative_information_score: 1457.9096, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.795, predictive_accuracy: 0.7953, prior_entropy: 0.9948, recall: 0.7953, relative_absolute_error: 0.6471, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7795, scimark_benchmark: 1460.9454, usercpu_time_millis: 2846.47, usercpu_time_millis_testing: 3.11, usercpu_time_millis_training: 2843.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.7992, kappa: 0.5949, kb_relative_information_score: 1490.1279, mean_absolute_error: 0.3173, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7997, predictive_accuracy: 0.7998, prior_entropy: 0.9948, recall: 0.7998, relative_absolute_error: 0.6392, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.7723, scimark_benchmark: 1514.8641, usercpu_time_millis: 435.13, usercpu_time_millis_testing: 1.02, usercpu_time_millis_training: 434.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.7753, kappa: 0.5466, kb_relative_information_score: 1229.8047, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7759, predictive_accuracy: 0.7761, prior_entropy: 0.9948, recall: 0.7761, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8092, scimark_benchmark: 1487.3217, usercpu_time_millis: 499.25, usercpu_time_millis_testing: 1.74, usercpu_time_millis_training: 497.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.7783, kappa: 0.5527, kb_relative_information_score: 1374.0224, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7784, predictive_accuracy: 0.7787, prior_entropy: 0.9948, recall: 0.7787, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.7997, scimark_benchmark: 1474.0572, usercpu_time_millis: 1503.8, usercpu_time_millis_testing: 1.7, usercpu_time_millis_training: 1502.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7897, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 874.0222, mean_absolute_error: 0.4, 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: 0.8058, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8764, scimark_benchmark: 1492.5381, usercpu_time_millis: 439.05, usercpu_time_millis_testing: 1.72, usercpu_time_millis_training: 437.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.782, kappa: 0.5602, kb_relative_information_score: 1414.618, mean_absolute_error: 0.3264, 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: 0.6575, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.795, scimark_benchmark: 1452.5085, usercpu_time_millis: 3159.78, usercpu_time_millis_testing: 2.27, usercpu_time_millis_training: 3157.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.7888, kappa: 0.5739, kb_relative_information_score: 1459.1514, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7892, predictive_accuracy: 0.7894, prior_entropy: 0.9948, recall: 0.7894, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.7835, scimark_benchmark: 1480.7619, usercpu_time_millis: 1485.72, usercpu_time_millis_testing: 1.38, usercpu_time_millis_training: 1484.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.3448, mean_absolute_error: 0.4965, 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: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1488.7247, usercpu_time_millis: 4.47, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 3.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.7596, kappa: 0.5149, kb_relative_information_score: 1022.2565, mean_absolute_error: 0.3808, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7623, predictive_accuracy: 0.7614, prior_entropy: 0.9948, recall: 0.7614, relative_absolute_error: 0.767, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8396, scimark_benchmark: 1474.3963, usercpu_time_millis: 605.89, usercpu_time_millis_testing: 2.22, usercpu_time_millis_training: 603.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.7305, kappa: 0.4563, kb_relative_information_score: 564.0441, mean_absolute_error: 0.4369, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7307, predictive_accuracy: 0.7313, prior_entropy: 0.9948, recall: 0.7313, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9035, scimark_benchmark: 1483.2029, usercpu_time_millis: 38.51, usercpu_time_millis_testing: 1.18, usercpu_time_millis_training: 37.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.7812, kappa: 0.5586, kb_relative_information_score: 1200.5957, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7814, predictive_accuracy: 0.7817, prior_entropy: 0.9948, recall: 0.7817, relative_absolute_error: 0.7182, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.403, root_relative_squared_error: 0.8089, scimark_benchmark: 1493.6013, usercpu_time_millis: 130.16, usercpu_time_millis_testing: 1.3, usercpu_time_millis_training: 128.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.7542, kappa: 0.504, kb_relative_information_score: 1025.121, mean_absolute_error: 0.3807, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7569, predictive_accuracy: 0.7561, prior_entropy: 0.9948, recall: 0.7561, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8449, scimark_benchmark: 1482.9653, usercpu_time_millis: 114.26, usercpu_time_millis_testing: 0.83, usercpu_time_millis_training: 113.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.7355, kappa: 0.4677, kb_relative_information_score: 636.1627, mean_absolute_error: 0.4289, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7358, predictive_accuracy: 0.7353, prior_entropy: 0.9948, recall: 0.7353, relative_absolute_error: 0.8639, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.8961, scimark_benchmark: 1513.6047, usercpu_time_millis: 173.75, usercpu_time_millis_testing: 1.31, usercpu_time_millis_training: 172.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.8078, kappa: 0.6125, kb_relative_information_score: 1767.4058, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8078, predictive_accuracy: 0.8081, prior_entropy: 0.9948, recall: 0.8081, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7506, scimark_benchmark: 1474.443, usercpu_time_millis: 10414.09, usercpu_time_millis_testing: 3.95, usercpu_time_millis_training: 10410.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.7513, kappa: 0.4982, kb_relative_information_score: 1221.7232, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7545, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.8419, scimark_benchmark: 1472.6898, usercpu_time_millis: 397.48, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 396.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8061, kappa: 0.6089, kb_relative_information_score: 1610.1896, mean_absolute_error: 0.3004, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8067, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.6052, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7581, scimark_benchmark: 1502.455, usercpu_time_millis: 701.72, usercpu_time_millis_testing: 1, usercpu_time_millis_training: 700.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 846.4827, mean_absolute_error: 0.4035, 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: 0.8128, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8797, scimark_benchmark: 1521.2828, usercpu_time_millis: 75.39, usercpu_time_millis_testing: 0.92, usercpu_time_millis_training: 74.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.798, kappa: 0.5926, kb_relative_information_score: 1459.8027, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7982, predictive_accuracy: 0.7985, prior_entropy: 0.9948, recall: 0.7985, relative_absolute_error: 0.6475, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.7771, scimark_benchmark: 1469.5094, usercpu_time_millis: 163.39, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 162.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.7755, kappa: 0.547, kb_relative_information_score: 1319.3099, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7768, predictive_accuracy: 0.7766, prior_entropy: 0.9948, recall: 0.7766, relative_absolute_error: 0.6838, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8066, scimark_benchmark: 1474.771, usercpu_time_millis: 2352.43, usercpu_time_millis_testing: 1.95, usercpu_time_millis_training: 2350.48,

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