Task
Supervised Classification on PieChart2

Supervised Classification on PieChart2

Task 10098 Supervised Classification PieChart2 101 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, f_measure: 0.9666, kappa: -0.0048, kb_relative_information_score: -1099.5893, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9758, prior_entropy: 0.1567, recall: 0.9758, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1563, root_relative_squared_error: 1.0784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4576, f_measure: 0.9679, kb_relative_information_score: -822.9274, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9785, prior_entropy: 0.1567, recall: 0.9785, relative_absolute_error: 0.8938, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1495, root_relative_squared_error: 1.0309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4243, f_measure: 0.9679, kb_relative_information_score: -876.2014, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9785, prior_entropy: 0.1567, recall: 0.9785, relative_absolute_error: 1.072, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1451, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.9672, kappa: -0.0025, kb_relative_information_score: -10.1065, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9772, prior_entropy: 0.1567, recall: 0.9772, relative_absolute_error: 0.9527, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1464, root_relative_squared_error: 1.0096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4243, f_measure: 0.9679, kb_relative_information_score: -114.1054, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9785, prior_entropy: 0.1567, recall: 0.9785, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.145, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5453, f_measure: 0.9505, kappa: 0.0908, kb_relative_information_score: -1318.5673, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9624, predictive_accuracy: 0.9396, prior_entropy: 0.1567, recall: 0.9396, relative_absolute_error: 1.3532, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.2075, root_relative_squared_error: 1.4311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5202, f_measure: 0.9645, kappa: -0.0103, kb_relative_information_score: -68.9407, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9574, predictive_accuracy: 0.9718, prior_entropy: 0.1567, recall: 0.9718, relative_absolute_error: 0.649, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1638, root_relative_squared_error: 1.1296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5461, f_measure: 0.9345, kappa: -0.0029, kb_relative_information_score: -6333.1251, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9578, predictive_accuracy: 0.9128, prior_entropy: 0.1567, recall: 0.9128, relative_absolute_error: 2.8763, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.2744, root_relative_squared_error: 1.8925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.9656, kappa: 0.07, kb_relative_information_score: -581.6517, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9613, predictive_accuracy: 0.9705, prior_entropy: 0.1567, recall: 0.9705, relative_absolute_error: 0.8359, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1642, root_relative_squared_error: 1.1329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.9632, kappa: -0.0132, kb_relative_information_score: -1166.6224, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9573, predictive_accuracy: 0.9691, prior_entropy: 0.1567, recall: 0.9691, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1654, root_relative_squared_error: 1.1409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.9679, kb_relative_information_score: 106.9697, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9785, prior_entropy: 0.1567, recall: 0.9785, relative_absolute_error: 0.512, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1471, root_relative_squared_error: 1.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5469, f_measure: 0.9679, kb_relative_information_score: -1294.6908, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9785, prior_entropy: 0.1567, recall: 0.9785, relative_absolute_error: 0.9347, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1549, root_relative_squared_error: 1.0688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.9505, kappa: 0.0908, kb_relative_information_score: -2550.9298, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9624, predictive_accuracy: 0.9396, prior_entropy: 0.1567, recall: 0.9396, relative_absolute_error: 1.8716, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.2301, root_relative_squared_error: 1.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4243, f_measure: 0.9679, kb_relative_information_score: -114.1054, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9785, prior_entropy: 0.1567, recall: 0.9785, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.145, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6791, f_measure: 0.9672, kappa: -0.0025, kb_relative_information_score: -1287.4604, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9772, prior_entropy: 0.1567, recall: 0.9772, relative_absolute_error: 1.0331, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1519, root_relative_squared_error: 1.0481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4241, f_measure: 0.9679, kb_relative_information_score: -20.7198, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9785, prior_entropy: 0.1567, recall: 0.9785, relative_absolute_error: 0.9718, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.145, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4243, f_measure: 0.9679, kb_relative_information_score: -114.1054, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9785, prior_entropy: 0.1567, recall: 0.9785, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.145, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5309, f_measure: 0.9679, kb_relative_information_score: -1002.9773, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9785, prior_entropy: 0.1567, recall: 0.9785, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1552, root_relative_squared_error: 1.0709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4243, f_measure: 0.9679, kb_relative_information_score: 8.5489, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9785, prior_entropy: 0.1567, recall: 0.9785, relative_absolute_error: 0.9718, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.145, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.9679, kb_relative_information_score: -1093.8814, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9785, prior_entropy: 0.1567, recall: 0.9785, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1492, root_relative_squared_error: 1.0292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.9645, kappa: -0.0103, kb_relative_information_score: -246.2042, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9574, predictive_accuracy: 0.9718, prior_entropy: 0.1567, recall: 0.9718, relative_absolute_error: 1.0755, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1609, root_relative_squared_error: 1.1096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6778, f_measure: 0.9343, kappa: 0.0248, kb_relative_information_score: -1751.8482, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9595, predictive_accuracy: 0.9114, prior_entropy: 0.1567, recall: 0.9114, relative_absolute_error: 2.0321, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.2894, root_relative_squared_error: 1.9963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, f_measure: 0.9652, kappa: -0.0087, kb_relative_information_score: -1369.4977, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9574, predictive_accuracy: 0.9732, prior_entropy: 0.1567, recall: 0.9732, relative_absolute_error: 1.0122, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1597, root_relative_squared_error: 1.1014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9679, kb_relative_information_score: 151.1591, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9785, prior_entropy: 0.1567, recall: 0.9785, relative_absolute_error: 0.4965, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1465, root_relative_squared_error: 1.0109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, f_measure: 0.9189, kappa: 0.0686, kb_relative_information_score: -4213.0303, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9636, predictive_accuracy: 0.8819, prior_entropy: 0.1567, recall: 0.8819, relative_absolute_error: 3.011, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.3016, root_relative_squared_error: 2.0807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9679, kb_relative_information_score: 151.1591, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9785, prior_entropy: 0.1567, recall: 0.9785, relative_absolute_error: 0.4965, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1465, root_relative_squared_error: 1.0109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.722, f_measure: 0.8983, kappa: 0.0877, kb_relative_information_score: -3602.4967, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9676, predictive_accuracy: 0.8456, prior_entropy: 0.1567, recall: 0.8456, relative_absolute_error: 3.5904, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.3856, root_relative_squared_error: 2.6598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9679, kb_relative_information_score: 151.1591, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9785, prior_entropy: 0.1567, recall: 0.9785, relative_absolute_error: 0.4965, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1465, root_relative_squared_error: 1.0109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7565, f_measure: 0.9372, kappa: 0.029, kb_relative_information_score: -5583.3505, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9597, predictive_accuracy: 0.9168, prior_entropy: 0.1567, recall: 0.9168, relative_absolute_error: 2.8958, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.2508, root_relative_squared_error: 1.7301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.9666, kappa: -0.0048, kb_relative_information_score: -1558.6388, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9758, prior_entropy: 0.1567, recall: 0.9758, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.148, root_relative_squared_error: 1.0207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.9645, kappa: -0.0103, kb_relative_information_score: -246.2042, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9574, predictive_accuracy: 0.9718, prior_entropy: 0.1567, recall: 0.9718, relative_absolute_error: 1.0755, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1609, root_relative_squared_error: 1.1096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5859, f_measure: 0.9679, kb_relative_information_score: -136.9519, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9785, prior_entropy: 0.1567, recall: 0.9785, relative_absolute_error: 0.9801, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6722, f_measure: 0.9672, kappa: -0.0025, kb_relative_information_score: -1735.4609, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9772, prior_entropy: 0.1567, recall: 0.9772, relative_absolute_error: 1.0581, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1558, root_relative_squared_error: 1.0749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4863, f_measure: 0.9543, kappa: -0.0244, kb_relative_information_score: -549.8302, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9569, predictive_accuracy: 0.9517, prior_entropy: 0.1567, recall: 0.9517, relative_absolute_error: 1.1171, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.2198, root_relative_squared_error: 1.5163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5278, f_measure: 0.9671, kappa: 0.0801, kb_relative_information_score: 10.9612, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9622, predictive_accuracy: 0.9732, prior_entropy: 0.1567, recall: 0.9732, relative_absolute_error: 0.6206, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1638, root_relative_squared_error: 1.1302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5292, f_measure: 0.9687, kappa: 0.0922, kb_relative_information_score: 81.0602, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9641, predictive_accuracy: 0.9758, prior_entropy: 0.1567, recall: 0.9758, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1554, root_relative_squared_error: 1.0722, usercpu_time_millis: 1.179, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 1.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.9666, kappa: -0.0048, kb_relative_information_score: 81.0602, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9758, prior_entropy: 0.1567, recall: 0.9758, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1554, root_relative_squared_error: 1.0722, usercpu_time_millis: 2.525, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 2.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9679, kb_relative_information_score: 151.1591, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9785, prior_entropy: 0.1567, recall: 0.9785, relative_absolute_error: 0.4965, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1465, root_relative_squared_error: 1.0109, usercpu_time_millis: 0.556, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5473, f_measure: 0.1702, kappa: 0.0045, kb_relative_information_score: -22420.6963, mean_absolute_error: 0.8859, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.979, predictive_accuracy: 0.1141, prior_entropy: 0.1567, recall: 0.1141, relative_absolute_error: 20.4802, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.9412, root_relative_squared_error: 6.4925, usercpu_time_millis: 1.908, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 1.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5656, f_measure: 0.9437, kappa: 0.0707, kb_relative_information_score: -1180.7206, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9618, predictive_accuracy: 0.9275, prior_entropy: 0.1567, recall: 0.9275, relative_absolute_error: 1.6757, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.8571, usercpu_time_millis: 0.385, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9679, kb_relative_information_score: 151.1591, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9785, prior_entropy: 0.1567, recall: 0.9785, relative_absolute_error: 0.4965, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1465, root_relative_squared_error: 1.0109, usercpu_time_millis: 0.314, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9679, kb_relative_information_score: 151.1591, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9785, prior_entropy: 0.1567, recall: 0.9785, relative_absolute_error: 0.4965, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1465, root_relative_squared_error: 1.0109, usercpu_time_millis: 10.48, usercpu_time_millis_testing: 0.497, usercpu_time_millis_training: 9.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9679, kb_relative_information_score: 151.1591, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9785, prior_entropy: 0.1567, recall: 0.9785, relative_absolute_error: 0.4965, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1465, root_relative_squared_error: 1.0109, usercpu_time_millis: 0.189, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.9645, kappa: -0.0103, kb_relative_information_score: -24.0882, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9574, predictive_accuracy: 0.9718, prior_entropy: 0.1567, recall: 0.9718, relative_absolute_error: 0.6516, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1679, root_relative_squared_error: 1.1581, usercpu_time_millis: 11.491, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 11.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.9666, kappa: -0.0048, kb_relative_information_score: 81.0602, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9758, prior_entropy: 0.1567, recall: 0.9758, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1554, root_relative_squared_error: 1.0722, usercpu_time_millis: 16.947, usercpu_time_millis_testing: 2.166, usercpu_time_millis_training: 14.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.9666, kappa: -0.0048, kb_relative_information_score: 81.0602, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9758, prior_entropy: 0.1567, recall: 0.9758, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1554, root_relative_squared_error: 1.0722, usercpu_time_millis: 1.661, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 1.534,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5278, f_measure: 0.9671, kappa: 0.0801, kb_relative_information_score: 10.9612, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9622, predictive_accuracy: 0.9732, prior_entropy: 0.1567, recall: 0.9732, relative_absolute_error: 0.6206, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1638, root_relative_squared_error: 1.1302, usercpu_time_millis: 54.291, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 54.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.9618, kappa: -0.0157, kb_relative_information_score: -164.2861, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9573, predictive_accuracy: 0.9664, prior_entropy: 0.1567, recall: 0.9664, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1832, root_relative_squared_error: 1.2636, usercpu_time_millis: 0.794, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.75,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.9645, kappa: -0.0103, kb_relative_information_score: -24.0882, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9574, predictive_accuracy: 0.9718, prior_entropy: 0.1567, recall: 0.9718, relative_absolute_error: 0.6516, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1679, root_relative_squared_error: 1.1581, usercpu_time_millis: 1.426, usercpu_time_millis_testing: 0.469, usercpu_time_millis_training: 0.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9679, kb_relative_information_score: 151.1591, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9785, prior_entropy: 0.1567, recall: 0.9785, relative_absolute_error: 0.4965, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1465, root_relative_squared_error: 1.0109, usercpu_time_millis: 51.535, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 51.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5704, f_measure: 0.949, kappa: 0.0858, kb_relative_information_score: -935.3743, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9623, predictive_accuracy: 0.9369, prior_entropy: 0.1567, recall: 0.9369, relative_absolute_error: 1.4584, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.2512, root_relative_squared_error: 1.7326, usercpu_time_millis: 0.919, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.9659, kappa: -0.0068, kb_relative_information_score: 46.0107, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9574, predictive_accuracy: 0.9745, prior_entropy: 0.1567, recall: 0.9745, relative_absolute_error: 0.5896, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1597, root_relative_squared_error: 1.1016, usercpu_time_millis: 1.085, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 0.681,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5241, f_measure: 0.9313, kappa: 0.0211, kb_relative_information_score: -1741.512, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9593, predictive_accuracy: 0.906, prior_entropy: 0.1567, recall: 0.906, relative_absolute_error: 2.1721, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.3065, root_relative_squared_error: 2.1144, usercpu_time_millis: 1.114, usercpu_time_millis_testing: 0.875, usercpu_time_millis_training: 0.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9679, kb_relative_information_score: 151.1591, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9785, prior_entropy: 0.1567, recall: 0.9785, relative_absolute_error: 0.4965, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1465, root_relative_squared_error: 1.0109, usercpu_time_millis: 26.424, usercpu_time_millis_testing: 1.885, usercpu_time_millis_training: 24.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4945, f_measure: 0.9625, kappa: -0.0145, kb_relative_information_score: -129.2366, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9573, predictive_accuracy: 0.9678, prior_entropy: 0.1567, recall: 0.9678, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1795, root_relative_squared_error: 1.2381, usercpu_time_millis: 0.646, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.9666, kappa: -0.0048, kb_relative_information_score: 81.0602, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9758, prior_entropy: 0.1567, recall: 0.9758, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1554, root_relative_squared_error: 1.0722, usercpu_time_millis: 1.863, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 1.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.9611, kappa: -0.0168, kb_relative_information_score: -199.3356, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9572, predictive_accuracy: 0.9651, prior_entropy: 0.1567, recall: 0.9651, relative_absolute_error: 0.8068, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1868, root_relative_squared_error: 1.2886, usercpu_time_millis: 0.804, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.9659, kappa: -0.0068, kb_relative_information_score: 46.0107, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9574, predictive_accuracy: 0.9745, prior_entropy: 0.1567, recall: 0.9745, relative_absolute_error: 0.5896, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1597, root_relative_squared_error: 1.1016, usercpu_time_millis: 0.143, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 0.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.9645, kappa: -0.0103, kb_relative_information_score: -24.0882, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9574, predictive_accuracy: 0.9718, prior_entropy: 0.1567, recall: 0.9718, relative_absolute_error: 0.6516, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1679, root_relative_squared_error: 1.1581, usercpu_time_millis: 0.902, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 0.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.521, f_measure: 0.9597, kappa: 0.0419, kb_relative_information_score: -339.5334, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9597, predictive_accuracy: 0.9597, prior_entropy: 0.1567, recall: 0.9597, relative_absolute_error: 0.9309, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.2007, root_relative_squared_error: 1.3842, usercpu_time_millis: 0.404, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.9672, kappa: -0.0025, kb_relative_information_score: 116.1096, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9772, prior_entropy: 0.1567, recall: 0.9772, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1511, root_relative_squared_error: 1.042, usercpu_time_millis: 0.425, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 0.01,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.9672, kappa: -0.0025, kb_relative_information_score: 116.1096, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9772, prior_entropy: 0.1567, recall: 0.9772, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1511, root_relative_squared_error: 1.042, usercpu_time_millis: 1.74, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 1.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.9645, kappa: -0.0103, kb_relative_information_score: -24.0882, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9574, predictive_accuracy: 0.9718, prior_entropy: 0.1567, recall: 0.9718, relative_absolute_error: 0.6516, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1679, root_relative_squared_error: 1.1581, usercpu_time_millis: 1.649, usercpu_time_millis_testing: 0.617, usercpu_time_millis_training: 1.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.521, f_measure: 0.9597, kappa: 0.0419, kb_relative_information_score: -339.5334, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9597, predictive_accuracy: 0.9597, prior_entropy: 0.1567, recall: 0.9597, relative_absolute_error: 0.9309, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.2007, root_relative_squared_error: 1.3842, usercpu_time_millis: 1.422, usercpu_time_millis_testing: 0.734, usercpu_time_millis_training: 0.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.489, f_measure: 0.957, kappa: -0.0219, kb_relative_information_score: -409.6323, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.957, predictive_accuracy: 0.957, prior_entropy: 0.1567, recall: 0.957, relative_absolute_error: 0.993, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.2073, root_relative_squared_error: 1.4296, usercpu_time_millis: 1.986, usercpu_time_millis_testing: 0.581, usercpu_time_millis_training: 1.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.9672, kappa: -0.0025, kb_relative_information_score: 116.1096, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9772, prior_entropy: 0.1567, recall: 0.9772, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1511, root_relative_squared_error: 1.042, usercpu_time_millis: 12.8, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 12.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.9672, kappa: -0.0025, kb_relative_information_score: 116.1096, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9772, prior_entropy: 0.1567, recall: 0.9772, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1511, root_relative_squared_error: 1.042, usercpu_time_millis: 1.179, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 1.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.9659, kappa: -0.0068, kb_relative_information_score: 46.0107, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9574, predictive_accuracy: 0.9745, prior_entropy: 0.1567, recall: 0.9745, relative_absolute_error: 0.5896, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1597, root_relative_squared_error: 1.1016, usercpu_time_millis: 1.317, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 1.198,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9679, kb_relative_information_score: 151.1591, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9785, prior_entropy: 0.1567, recall: 0.9785, relative_absolute_error: 0.4965, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1465, root_relative_squared_error: 1.0109, usercpu_time_millis: 1.022, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 0.916,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9679, kb_relative_information_score: 151.1591, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9785, prior_entropy: 0.1567, recall: 0.9785, relative_absolute_error: 0.4965, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1465, root_relative_squared_error: 1.0109, usercpu_time_millis: 2.219, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 2.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.9666, kappa: -0.0048, kb_relative_information_score: 81.0602, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9758, prior_entropy: 0.1567, recall: 0.9758, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1554, root_relative_squared_error: 1.0722, usercpu_time_millis: 2.211, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 2.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.9611, kappa: -0.0168, kb_relative_information_score: -199.3356, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9572, predictive_accuracy: 0.9651, prior_entropy: 0.1567, recall: 0.9651, relative_absolute_error: 0.8068, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1868, root_relative_squared_error: 1.2886, usercpu_time_millis: 0.697, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9679, kb_relative_information_score: 151.1591, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9785, prior_entropy: 0.1567, recall: 0.9785, relative_absolute_error: 0.4965, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1465, root_relative_squared_error: 1.0109, usercpu_time_millis: 2.272, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 2.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.9672, kappa: -0.0025, kb_relative_information_score: 116.1096, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9772, prior_entropy: 0.1567, recall: 0.9772, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1511, root_relative_squared_error: 1.042, usercpu_time_millis: 18.064, usercpu_time_millis_testing: 2.305, usercpu_time_millis_training: 15.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.9659, kappa: -0.0068, kb_relative_information_score: -243.102, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9574, predictive_accuracy: 0.9745, prior_entropy: 0.1567, recall: 0.9745, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1515, root_relative_squared_error: 1.0447, scimark_benchmark: 479.2001, usercpu_time_millis: 16590, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 16540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4275, f_measure: 0.9679, kb_relative_information_score: -2643.5101, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9785, prior_entropy: 0.1567, recall: 0.9785, relative_absolute_error: 1.2852, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1464, root_relative_squared_error: 1.0102, scimark_benchmark: 1253.5021, usercpu_time_millis: 6950, usercpu_time_millis_training: 6950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5599, f_measure: 0.9679, kb_relative_information_score: -1167.3462, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9785, prior_entropy: 0.1567, recall: 0.9785, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1453, root_relative_squared_error: 1.0026, scimark_benchmark: 1242.5645, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5491, f_measure: 0.957, kappa: -0.0219, kb_relative_information_score: -418.9651, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.957, predictive_accuracy: 0.957, prior_entropy: 0.1567, recall: 0.957, relative_absolute_error: 1.0244, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.2069, root_relative_squared_error: 1.4275, scimark_benchmark: 1218.9861, usercpu_time_millis: 140, usercpu_time_millis_testing: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5887, f_measure: 0.959, kappa: 0.0393, kb_relative_information_score: -1068.8687, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9596, predictive_accuracy: 0.9584, prior_entropy: 0.1567, recall: 0.9584, relative_absolute_error: 1.1303, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1811, root_relative_squared_error: 1.2489, scimark_benchmark: 1220.1517, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.8665, kappa: 0.079, kb_relative_information_score: -5111.3182, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9699, predictive_accuracy: 0.7933, prior_entropy: 0.1567, recall: 0.7933, relative_absolute_error: 4.7655, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.4391, root_relative_squared_error: 3.0285, scimark_benchmark: 1224.8703, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5491, f_measure: 0.957, kappa: -0.0219, kb_relative_information_score: -418.9651, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.957, predictive_accuracy: 0.957, prior_entropy: 0.1567, recall: 0.957, relative_absolute_error: 1.0244, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.2069, root_relative_squared_error: 1.4275, scimark_benchmark: 473.1656, usercpu_time_millis: 350, usercpu_time_millis_testing: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6469, f_measure: 0.9598, kappa: -0.0188, kb_relative_information_score: -1039.8838, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9572, predictive_accuracy: 0.9624, prior_entropy: 0.1567, recall: 0.9624, relative_absolute_error: 1.0425, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1746, root_relative_squared_error: 1.2042, scimark_benchmark: 1254.1389, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.9645, kappa: -0.0103, kb_relative_information_score: -246.2042, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9574, predictive_accuracy: 0.9718, prior_entropy: 0.1567, recall: 0.9718, relative_absolute_error: 1.0755, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1609, root_relative_squared_error: 1.1096, scimark_benchmark: 473.1656, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4243, f_measure: 0.9679, kb_relative_information_score: -114.1054, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9785, prior_entropy: 0.1567, recall: 0.9785, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.145, root_relative_squared_error: 1.0002, scimark_benchmark: 473.1656, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6679, f_measure: 0.9679, kb_relative_information_score: -1990.5656, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9785, prior_entropy: 0.1567, recall: 0.9785, relative_absolute_error: 0.9516, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1455, root_relative_squared_error: 1.0036, scimark_benchmark: 479.2609, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6736, f_measure: 0.9335, kappa: 0.0239, kb_relative_information_score: -1754.2762, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9595, predictive_accuracy: 0.9101, prior_entropy: 0.1567, recall: 0.9101, relative_absolute_error: 2.0887, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.296, root_relative_squared_error: 2.0417, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6237, f_measure: 0.9433, kappa: 0.123, kb_relative_information_score: -1251.1719, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9652, predictive_accuracy: 0.9248, prior_entropy: 0.1567, recall: 0.9248, relative_absolute_error: 1.7389, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.2742, root_relative_squared_error: 1.8912, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6736, f_measure: 0.9335, kappa: 0.0239, kb_relative_information_score: -1754.2762, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9595, predictive_accuracy: 0.9101, prior_entropy: 0.1567, recall: 0.9101, relative_absolute_error: 2.0887, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.296, root_relative_squared_error: 2.0417, scimark_benchmark: 1230.3004, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7817, f_measure: 0.8732, kappa: 0.085, kb_relative_information_score: -4957.7024, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9701, predictive_accuracy: 0.804, prior_entropy: 0.1567, recall: 0.804, relative_absolute_error: 4.6337, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.4327, root_relative_squared_error: 2.9849, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4243, f_measure: 0.9679, kb_relative_information_score: -114.1054, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9575, predictive_accuracy: 0.9785, prior_entropy: 0.1567, recall: 0.9785, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.145, root_relative_squared_error: 1.0002, scimark_benchmark: 1241.5236, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

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