OpenML
Supervised Classification on higgs

Supervised Classification on higgs

Task 146606 Supervised Classification higgs 14284 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.6767, kappa: 0.3513, kb_relative_information_score: 17702.8811, mean_absolute_error: 0.4216, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6767, predictive_accuracy: 0.6766, prior_entropy: 0.9976, recall: 0.6766, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9216, usercpu_time_millis: 58.011, usercpu_time_millis_testing: 0.888, usercpu_time_millis_training: 57.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.6632, kappa: 0.3324, kb_relative_information_score: 15194.323, mean_absolute_error: 0.4331, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6721, predictive_accuracy: 0.664, prior_entropy: 0.9976, recall: 0.664, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.9332, usercpu_time_millis: 55.645, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 54.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5953, f_measure: 0.5898, kappa: 0.1955, kb_relative_information_score: 5650.6632, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.614, predictive_accuracy: 0.6073, prior_entropy: 0.9976, recall: 0.6073, relative_absolute_error: 0.9557, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4881, root_relative_squared_error: 0.9777, usercpu_time_millis: 46.582, usercpu_time_millis_testing: 0.477, usercpu_time_millis_training: 46.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.6332, kappa: 0.2659, kb_relative_information_score: 9120.3125, mean_absolute_error: 0.4616, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6346, predictive_accuracy: 0.6329, prior_entropy: 0.9976, recall: 0.6329, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.9626, usercpu_time_millis: 47.79, usercpu_time_millis_testing: 0.468, usercpu_time_millis_training: 47.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7362, f_measure: 0.6893, kappa: 0.3768, kb_relative_information_score: 20262.409, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6895, predictive_accuracy: 0.6891, prior_entropy: 0.9976, recall: 0.6891, relative_absolute_error: 0.8219, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9108, usercpu_time_millis: 58.338, usercpu_time_millis_testing: 0.697, usercpu_time_millis_training: 57.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.6632, kappa: 0.3324, kb_relative_information_score: 15194.323, mean_absolute_error: 0.4331, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6721, predictive_accuracy: 0.664, prior_entropy: 0.9976, recall: 0.664, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.9332, usercpu_time_millis: 53.196, usercpu_time_millis_testing: 0.496, usercpu_time_millis_training: 52.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5953, f_measure: 0.5898, kappa: 0.1955, kb_relative_information_score: 5650.6632, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.614, predictive_accuracy: 0.6073, prior_entropy: 0.9976, recall: 0.6073, relative_absolute_error: 0.9557, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4881, root_relative_squared_error: 0.9777, usercpu_time_millis: 45.134, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 44.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.6544, kappa: 0.3128, kb_relative_information_score: 12648.7093, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6607, predictive_accuracy: 0.6547, prior_entropy: 0.9976, recall: 0.6547, relative_absolute_error: 0.8946, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9464, usercpu_time_millis: 51.769, usercpu_time_millis_testing: 0.498, usercpu_time_millis_training: 51.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, f_measure: 0.6952, kappa: 0.3884, kb_relative_information_score: 22974.7926, mean_absolute_error: 0.3959, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6952, predictive_accuracy: 0.6951, prior_entropy: 0.9976, recall: 0.6951, relative_absolute_error: 0.7945, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4509, root_relative_squared_error: 0.9033, usercpu_time_millis: 59.096, usercpu_time_millis_testing: 0.493, usercpu_time_millis_training: 58.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, f_measure: 0.661, kappa: 0.3309, kb_relative_information_score: 14847.3453, mean_absolute_error: 0.4347, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6739, predictive_accuracy: 0.6626, prior_entropy: 0.9976, recall: 0.6626, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9348, usercpu_time_millis: 51.839, usercpu_time_millis_testing: 0.632, usercpu_time_millis_training: 51.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7518, f_measure: 0.6946, kappa: 0.387, kb_relative_information_score: 23222.1209, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6945, predictive_accuracy: 0.6946, prior_entropy: 0.9976, recall: 0.6946, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.902, usercpu_time_millis: 53.459, usercpu_time_millis_testing: 0.495, usercpu_time_millis_training: 52.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.6332, kappa: 0.2659, kb_relative_information_score: 9120.3125, mean_absolute_error: 0.4616, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6346, predictive_accuracy: 0.6329, prior_entropy: 0.9976, recall: 0.6329, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.9626, usercpu_time_millis: 44.69, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 44.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.6955, kappa: 0.3892, kb_relative_information_score: 23081.9497, mean_absolute_error: 0.3954, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6956, predictive_accuracy: 0.6955, prior_entropy: 0.9976, recall: 0.6955, relative_absolute_error: 0.7934, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4509, root_relative_squared_error: 0.9034, usercpu_time_millis: 55.731, usercpu_time_millis_testing: 0.494, usercpu_time_millis_training: 55.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.6332, kappa: 0.2659, kb_relative_information_score: 9120.3125, mean_absolute_error: 0.4616, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6346, predictive_accuracy: 0.6329, prior_entropy: 0.9976, recall: 0.6329, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.9626, usercpu_time_millis: 44.28, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 43.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.6906, kappa: 0.3794, kb_relative_information_score: 20633.6658, mean_absolute_error: 0.4079, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6908, predictive_accuracy: 0.6904, prior_entropy: 0.9976, recall: 0.6904, relative_absolute_error: 0.8185, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4541, root_relative_squared_error: 0.9097, usercpu_time_millis: 53.667, usercpu_time_millis_testing: 0.681, usercpu_time_millis_training: 52.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.6332, kappa: 0.2659, kb_relative_information_score: 9120.3125, mean_absolute_error: 0.4616, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6346, predictive_accuracy: 0.6329, prior_entropy: 0.9976, recall: 0.6329, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.9626, usercpu_time_millis: 48.173, usercpu_time_millis_testing: 0.596, usercpu_time_millis_training: 47.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7193, f_measure: 0.676, kappa: 0.3496, kb_relative_information_score: 17437.1473, mean_absolute_error: 0.423, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6759, predictive_accuracy: 0.6761, prior_entropy: 0.9976, recall: 0.6761, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4606, root_relative_squared_error: 0.9227, usercpu_time_millis: 55.384, usercpu_time_millis_testing: 0.471, usercpu_time_millis_training: 54.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6702, f_measure: 0.6535, kappa: 0.3105, kb_relative_information_score: 12398.3752, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6593, predictive_accuracy: 0.6537, prior_entropy: 0.9976, recall: 0.6537, relative_absolute_error: 0.8972, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9477, usercpu_time_millis: 50.379, usercpu_time_millis_testing: 0.659, usercpu_time_millis_training: 49.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7338, f_measure: 0.6869, kappa: 0.3725, kb_relative_information_score: 19816.3176, mean_absolute_error: 0.4116, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6875, predictive_accuracy: 0.6867, prior_entropy: 0.9976, recall: 0.6867, relative_absolute_error: 0.8259, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9123, usercpu_time_millis: 57.273, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 56.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7362, f_measure: 0.6892, kappa: 0.3765, kb_relative_information_score: 20242.8186, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6893, predictive_accuracy: 0.6891, prior_entropy: 0.9976, recall: 0.6891, relative_absolute_error: 0.8221, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9108, usercpu_time_millis: 57.893, usercpu_time_millis_testing: 0.666, usercpu_time_millis_training: 57.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5953, f_measure: 0.5898, kappa: 0.1955, kb_relative_information_score: 5650.6632, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.614, predictive_accuracy: 0.6073, prior_entropy: 0.9976, recall: 0.6073, relative_absolute_error: 0.9557, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4881, root_relative_squared_error: 0.9777, usercpu_time_millis: 45.124, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 44.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.6903, kappa: 0.379, kb_relative_information_score: 20541.3133, mean_absolute_error: 0.4083, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6906, predictive_accuracy: 0.6902, prior_entropy: 0.9976, recall: 0.6902, relative_absolute_error: 0.8193, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.91, usercpu_time_millis: 58.666, usercpu_time_millis_testing: 0.649, usercpu_time_millis_training: 58.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.6332, kappa: 0.2659, kb_relative_information_score: 9120.3125, mean_absolute_error: 0.4616, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6346, predictive_accuracy: 0.6329, prior_entropy: 0.9976, recall: 0.6329, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.9626, usercpu_time_millis: 45.704, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 45.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5953, f_measure: 0.5898, kappa: 0.1955, kb_relative_information_score: 5650.6632, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.614, predictive_accuracy: 0.6073, prior_entropy: 0.9976, recall: 0.6073, relative_absolute_error: 0.9557, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4881, root_relative_squared_error: 0.9777, usercpu_time_millis: 41.41, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 40.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.6632, kappa: 0.3324, kb_relative_information_score: 15194.323, mean_absolute_error: 0.4331, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6721, predictive_accuracy: 0.664, prior_entropy: 0.9976, recall: 0.664, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.9332, usercpu_time_millis: 49.238, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 48.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.6342, kappa: 0.2684, kb_relative_information_score: 9338.8047, mean_absolute_error: 0.4606, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6361, predictive_accuracy: 0.6339, prior_entropy: 0.9976, recall: 0.6339, relative_absolute_error: 0.9242, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.48, root_relative_squared_error: 0.9616, usercpu_time_millis: 45.918, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 45.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.6673, kappa: 0.353, kb_relative_information_score: 35993.9172, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7142, predictive_accuracy: 0.685, prior_entropy: 0.9976, recall: 0.685, relative_absolute_error: 0.632, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5612, root_relative_squared_error: 1.1243, usercpu_time_millis: 158.8, usercpu_time_millis_testing: 18.32, usercpu_time_millis_training: 140.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.6332, kappa: 0.2659, kb_relative_information_score: 9120.3125, mean_absolute_error: 0.4616, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6346, predictive_accuracy: 0.6329, prior_entropy: 0.9976, recall: 0.6329, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.9626, usercpu_time_millis: 51.293, usercpu_time_millis_testing: 0.774, usercpu_time_millis_training: 50.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.6757, kappa: 0.3492, kb_relative_information_score: 17255.2979, mean_absolute_error: 0.4239, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6757, predictive_accuracy: 0.6757, prior_entropy: 0.9976, recall: 0.6757, relative_absolute_error: 0.8506, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9237, usercpu_time_millis: 58.977, usercpu_time_millis_testing: 0.74, usercpu_time_millis_training: 58.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5953, f_measure: 0.5898, kappa: 0.1955, kb_relative_information_score: 5650.6632, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.614, predictive_accuracy: 0.6073, prior_entropy: 0.9976, recall: 0.6073, relative_absolute_error: 0.9557, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4881, root_relative_squared_error: 0.9777, usercpu_time_millis: 46.599, usercpu_time_millis_testing: 0.678, usercpu_time_millis_training: 45.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, f_measure: 0.661, kappa: 0.3309, kb_relative_information_score: 14847.3453, mean_absolute_error: 0.4347, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6739, predictive_accuracy: 0.6626, prior_entropy: 0.9976, recall: 0.6626, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9348, usercpu_time_millis: 54.303, usercpu_time_millis_testing: 0.452, usercpu_time_millis_training: 53.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7361, f_measure: 0.6892, kappa: 0.3765, kb_relative_information_score: 20239.9841, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6893, predictive_accuracy: 0.6891, prior_entropy: 0.9976, recall: 0.6891, relative_absolute_error: 0.8221, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9108, usercpu_time_millis: 61.088, usercpu_time_millis_testing: 0.65, usercpu_time_millis_training: 60.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, f_measure: 0.6911, kappa: 0.3802, kb_relative_information_score: 20841.7132, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6911, predictive_accuracy: 0.691, prior_entropy: 0.9976, recall: 0.691, relative_absolute_error: 0.8164, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9089, usercpu_time_millis: 60.828, usercpu_time_millis_testing: 0.584, usercpu_time_millis_training: 60.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.6332, kappa: 0.2659, kb_relative_information_score: 9120.3125, mean_absolute_error: 0.4616, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6346, predictive_accuracy: 0.6329, prior_entropy: 0.9976, recall: 0.6329, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.9626, usercpu_time_millis: 51.506, usercpu_time_millis_testing: 0.63, usercpu_time_millis_training: 50.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7209, f_measure: 0.6764, kappa: 0.3506, kb_relative_information_score: 17634.301, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6763, predictive_accuracy: 0.6764, prior_entropy: 0.9976, recall: 0.6764, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9218, usercpu_time_millis: 57.849, usercpu_time_millis_testing: 0.504, usercpu_time_millis_training: 57.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6702, f_measure: 0.6535, kappa: 0.3105, kb_relative_information_score: 12398.3752, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6593, predictive_accuracy: 0.6537, prior_entropy: 0.9976, recall: 0.6537, relative_absolute_error: 0.8972, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9477, usercpu_time_millis: 54.313, usercpu_time_millis_testing: 0.668, usercpu_time_millis_training: 53.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7157, f_measure: 0.675, kappa: 0.3479, kb_relative_information_score: 17076.4138, mean_absolute_error: 0.4248, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.675, predictive_accuracy: 0.675, prior_entropy: 0.9976, recall: 0.675, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9246, usercpu_time_millis: 56.671, usercpu_time_millis_testing: 0.474, usercpu_time_millis_training: 56.197,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7262, f_measure: 0.682, kappa: 0.3625, kb_relative_information_score: 18621.2281, mean_absolute_error: 0.4173, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6824, predictive_accuracy: 0.6818, prior_entropy: 0.9976, recall: 0.6818, relative_absolute_error: 0.8374, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9176, usercpu_time_millis: 57.968, usercpu_time_millis_testing: 0.464, usercpu_time_millis_training: 57.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, f_measure: 0.6954, kappa: 0.3888, kb_relative_information_score: 23572.6905, mean_absolute_error: 0.3928, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6954, predictive_accuracy: 0.6955, prior_entropy: 0.9976, recall: 0.6955, relative_absolute_error: 0.7882, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4509, root_relative_squared_error: 0.9032, usercpu_time_millis: 61.684, usercpu_time_millis_testing: 0.823, usercpu_time_millis_training: 60.861,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.6332, kappa: 0.2659, kb_relative_information_score: 9120.3125, mean_absolute_error: 0.4616, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6346, predictive_accuracy: 0.6329, prior_entropy: 0.9976, recall: 0.6329, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.9626, usercpu_time_millis: 49.339, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 48.905,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.6585, kappa: 0.3243, kb_relative_information_score: 14086.8587, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6689, predictive_accuracy: 0.6597, prior_entropy: 0.9976, recall: 0.6597, relative_absolute_error: 0.88, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.939, usercpu_time_millis: 53.99, usercpu_time_millis_testing: 0.697, usercpu_time_millis_training: 53.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, f_measure: 0.6678, kappa: 0.3365, kb_relative_information_score: 15776.6093, mean_absolute_error: 0.4306, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6708, predictive_accuracy: 0.6676, prior_entropy: 0.9976, recall: 0.6676, relative_absolute_error: 0.8641, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.9306, usercpu_time_millis: 56.108, usercpu_time_millis_testing: 0.888, usercpu_time_millis_training: 55.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.6905, kappa: 0.3793, kb_relative_information_score: 20491.941, mean_absolute_error: 0.4086, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6907, predictive_accuracy: 0.6904, prior_entropy: 0.9976, recall: 0.6904, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.91, usercpu_time_millis: 60.147, usercpu_time_millis_testing: 0.829, usercpu_time_millis_training: 59.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.6757, kappa: 0.3492, kb_relative_information_score: 17255.2979, mean_absolute_error: 0.4239, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6757, predictive_accuracy: 0.6757, prior_entropy: 0.9976, recall: 0.6757, relative_absolute_error: 0.8506, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9237, usercpu_time_millis: 56.418, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 55.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6702, f_measure: 0.6535, kappa: 0.3105, kb_relative_information_score: 12398.3752, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6593, predictive_accuracy: 0.6537, prior_entropy: 0.9976, recall: 0.6537, relative_absolute_error: 0.8972, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9477, usercpu_time_millis: 53.06, usercpu_time_millis_testing: 0.456, usercpu_time_millis_training: 52.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7505, f_measure: 0.695, kappa: 0.3879, kb_relative_information_score: 22983.7958, mean_absolute_error: 0.3958, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6949, predictive_accuracy: 0.695, prior_entropy: 0.9976, recall: 0.695, relative_absolute_error: 0.7943, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9024, usercpu_time_millis: 59.088, usercpu_time_millis_testing: 0.491, usercpu_time_millis_training: 58.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.6792, kappa: 0.3566, kb_relative_information_score: 18115.3628, mean_absolute_error: 0.4197, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6794, predictive_accuracy: 0.679, prior_entropy: 0.9976, recall: 0.679, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9199, usercpu_time_millis: 56.828, usercpu_time_millis_testing: 0.447, usercpu_time_millis_training: 56.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.6332, kappa: 0.2659, kb_relative_information_score: 9120.3125, mean_absolute_error: 0.4616, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6346, predictive_accuracy: 0.6329, prior_entropy: 0.9976, recall: 0.6329, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.9626, usercpu_time_millis: 48.362, usercpu_time_millis_testing: 0.72, usercpu_time_millis_training: 47.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.6934, kappa: 0.3848, kb_relative_information_score: 22024.3658, mean_absolute_error: 0.4009, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6934, predictive_accuracy: 0.6934, prior_entropy: 0.9976, recall: 0.6934, relative_absolute_error: 0.8045, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9055, usercpu_time_millis: 61.04, usercpu_time_millis_testing: 0.773, usercpu_time_millis_training: 60.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7184, f_measure: 0.6757, kappa: 0.3492, kb_relative_information_score: 17338.1419, mean_absolute_error: 0.4235, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6757, predictive_accuracy: 0.6758, prior_entropy: 0.9976, recall: 0.6758, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9232, usercpu_time_millis: 56.401, usercpu_time_millis_testing: 0.562, usercpu_time_millis_training: 55.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.6895, kappa: 0.3772, kb_relative_information_score: 20303.4617, mean_absolute_error: 0.4094, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6897, predictive_accuracy: 0.6894, prior_entropy: 0.9976, recall: 0.6894, relative_absolute_error: 0.8215, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9106, usercpu_time_millis: 59.268, usercpu_time_millis_testing: 0.518, usercpu_time_millis_training: 58.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.6622, kappa: 0.3314, kb_relative_information_score: 15067.0002, mean_absolute_error: 0.4337, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6724, predictive_accuracy: 0.6633, prior_entropy: 0.9976, recall: 0.6633, relative_absolute_error: 0.8703, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9339, usercpu_time_millis: 53.906, usercpu_time_millis_testing: 0.461, usercpu_time_millis_training: 53.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6702, f_measure: 0.6535, kappa: 0.3105, kb_relative_information_score: 12398.3752, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6593, predictive_accuracy: 0.6537, prior_entropy: 0.9976, recall: 0.6537, relative_absolute_error: 0.8972, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9477, usercpu_time_millis: 52.003, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 51.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.6332, kappa: 0.2659, kb_relative_information_score: 9120.3125, mean_absolute_error: 0.4616, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6346, predictive_accuracy: 0.6329, prior_entropy: 0.9976, recall: 0.6329, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.9626, usercpu_time_millis: 46.45, usercpu_time_millis_testing: 0.445, usercpu_time_millis_training: 46.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.6332, kappa: 0.2659, kb_relative_information_score: 9120.3125, mean_absolute_error: 0.4616, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6346, predictive_accuracy: 0.6329, prior_entropy: 0.9976, recall: 0.6329, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.9626, usercpu_time_millis: 51.087, usercpu_time_millis_testing: 0.675, usercpu_time_millis_training: 50.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5953, f_measure: 0.5898, kappa: 0.1955, kb_relative_information_score: 5650.6632, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.614, predictive_accuracy: 0.6073, prior_entropy: 0.9976, recall: 0.6073, relative_absolute_error: 0.9557, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4881, root_relative_squared_error: 0.9777, usercpu_time_millis: 48.694, usercpu_time_millis_testing: 0.565, usercpu_time_millis_training: 48.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.6332, kappa: 0.2659, kb_relative_information_score: 9120.3125, mean_absolute_error: 0.4616, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6346, predictive_accuracy: 0.6329, prior_entropy: 0.9976, recall: 0.6329, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.9626, usercpu_time_millis: 51.173, usercpu_time_millis_testing: 0.494, usercpu_time_millis_training: 50.679,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.6803, kappa: 0.3581, kb_relative_information_score: 21169.9704, mean_absolute_error: 0.4034, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.681, predictive_accuracy: 0.6814, prior_entropy: 0.9976, recall: 0.6814, relative_absolute_error: 0.8094, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9082, usercpu_time_millis: 356.998, usercpu_time_millis_testing: 2.077, usercpu_time_millis_training: 354.921,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.682, f_measure: 0.6359, kappa: 0.2714, kb_relative_information_score: 11592.7169, mean_absolute_error: 0.4485, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6412, predictive_accuracy: 0.6405, prior_entropy: 0.9976, recall: 0.6405, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9477, usercpu_time_millis: 40.34, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 39.991,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7213, kappa: 0.4404, kb_relative_information_score: 30108.1308, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7212, predictive_accuracy: 0.7214, prior_entropy: 0.9976, recall: 0.7214, relative_absolute_error: 0.7184, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.8549, usercpu_time_millis: 286.643, usercpu_time_millis_testing: 0.747, usercpu_time_millis_training: 285.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6595, f_measure: 0.6141, kappa: 0.225, kb_relative_information_score: 17029.4394, mean_absolute_error: 0.4166, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6144, predictive_accuracy: 0.6154, prior_entropy: 0.9976, recall: 0.6154, relative_absolute_error: 0.8359, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5033, root_relative_squared_error: 1.0082, usercpu_time_millis: 358.332, usercpu_time_millis_testing: 324.259, usercpu_time_millis_training: 34.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.7174, kappa: 0.4326, kb_relative_information_score: 23093.1982, mean_absolute_error: 0.3962, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7174, predictive_accuracy: 0.7176, prior_entropy: 0.9976, recall: 0.7176, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7812, f_measure: 0.7082, kappa: 0.4142, kb_relative_information_score: 1566.1337, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7081, predictive_accuracy: 0.7084, prior_entropy: 0.9976, recall: 0.7084, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.493, root_relative_squared_error: 0.9875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.7167, kappa: 0.4314, kb_relative_information_score: 27511.9604, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7166, predictive_accuracy: 0.7167, prior_entropy: 0.9976, recall: 0.7167, relative_absolute_error: 0.7457, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.8597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.6494, kappa: 0.2981, kb_relative_information_score: 13299.9696, mean_absolute_error: 0.4409, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6545, predictive_accuracy: 0.6535, prior_entropy: 0.9976, recall: 0.6535, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.7223, kappa: 0.4426, kb_relative_information_score: 6286.57, mean_absolute_error: 0.4744, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7223, predictive_accuracy: 0.7226, prior_entropy: 0.9976, recall: 0.7226, relative_absolute_error: 0.9519, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.7206, kappa: 0.4393, kb_relative_information_score: 27676.8787, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7206, predictive_accuracy: 0.7207, prior_entropy: 0.9976, recall: 0.7207, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.7195, kappa: 0.4372, kb_relative_information_score: 26404.6215, mean_absolute_error: 0.3782, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7195, predictive_accuracy: 0.7195, prior_entropy: 0.9976, recall: 0.7195, relative_absolute_error: 0.7588, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.7037, kappa: 0.4051, kb_relative_information_score: -230.4, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7037, predictive_accuracy: 0.7039, prior_entropy: 0.9976, recall: 0.7039, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, f_measure: 0.7063, kappa: 0.4103, kb_relative_information_score: 13337.978, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7062, predictive_accuracy: 0.7065, prior_entropy: 0.9976, recall: 0.7065, relative_absolute_error: 0.8875, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4607, root_relative_squared_error: 0.9229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7197, kappa: 0.4376, kb_relative_information_score: 26503.2845, mean_absolute_error: 0.3776, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7197, predictive_accuracy: 0.7197, prior_entropy: 0.9976, recall: 0.7197, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5998, f_measure: 0.5721, kappa: 0.1509, kb_relative_information_score: 5080.1263, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.583, predictive_accuracy: 0.5834, prior_entropy: 0.9976, recall: 0.5834, relative_absolute_error: 0.9583, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.7228, kappa: 0.4438, kb_relative_information_score: 27270.5952, mean_absolute_error: 0.3737, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7228, predictive_accuracy: 0.7229, prior_entropy: 0.9976, recall: 0.7229, relative_absolute_error: 0.7498, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.731, f_measure: 0.668, kappa: 0.3345, kb_relative_information_score: 232.0594, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6685, predictive_accuracy: 0.6678, prior_entropy: 0.9976, recall: 0.6678, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7199, kappa: 0.4378, kb_relative_information_score: 25950.8382, mean_absolute_error: 0.3808, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7198, predictive_accuracy: 0.7199, prior_entropy: 0.9976, recall: 0.7199, relative_absolute_error: 0.7641, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, f_measure: 0.7154, kappa: 0.4286, kb_relative_information_score: 5321.8976, mean_absolute_error: 0.4783, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7154, predictive_accuracy: 0.7156, prior_entropy: 0.9976, recall: 0.7156, relative_absolute_error: 0.9598, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4801, root_relative_squared_error: 0.9618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.7125, kappa: 0.4229, kb_relative_information_score: 27728.1628, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7124, predictive_accuracy: 0.7126, prior_entropy: 0.9976, recall: 0.7126, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6576, f_measure: 0.6175, kappa: 0.235, kb_relative_information_score: 9944.8287, mean_absolute_error: 0.4558, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6228, predictive_accuracy: 0.6227, prior_entropy: 0.9976, recall: 0.6227, relative_absolute_error: 0.9146, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, f_measure: 0.698, kappa: 0.3938, kb_relative_information_score: 1045.7678, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.698, predictive_accuracy: 0.6982, prior_entropy: 0.9976, recall: 0.6982, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.7197, kappa: 0.4375, kb_relative_information_score: 26996.6288, mean_absolute_error: 0.3749, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7197, predictive_accuracy: 0.7197, prior_entropy: 0.9976, recall: 0.7197, relative_absolute_error: 0.7523, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.7221, kappa: 0.4423, kb_relative_information_score: 26545.639, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7221, predictive_accuracy: 0.7222, prior_entropy: 0.9976, recall: 0.7222, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6294, f_measure: 0.5964, kappa: 0.1896, kb_relative_information_score: 7299.6564, mean_absolute_error: 0.4674, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5967, predictive_accuracy: 0.5979, prior_entropy: 0.9976, recall: 0.5979, relative_absolute_error: 0.9379, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.7142, kappa: 0.4263, kb_relative_information_score: 8885.4305, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7142, predictive_accuracy: 0.7144, prior_entropy: 0.9976, recall: 0.7144, relative_absolute_error: 0.9308, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.7184, kappa: 0.4348, kb_relative_information_score: 11969.6145, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7184, predictive_accuracy: 0.7186, prior_entropy: 0.9976, recall: 0.7186, relative_absolute_error: 0.9026, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.7188, kappa: 0.4357, kb_relative_information_score: 27507.6831, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7188, predictive_accuracy: 0.7188, prior_entropy: 0.9976, recall: 0.7188, relative_absolute_error: 0.7465, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.7157, kappa: 0.4293, kb_relative_information_score: 4018.3873, mean_absolute_error: 0.4835, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7157, predictive_accuracy: 0.716, prior_entropy: 0.9976, recall: 0.716, relative_absolute_error: 0.9701, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.4009, kappa: 0.0116, kb_relative_information_score: 16.7479, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5371, predictive_accuracy: 0.5319, prior_entropy: 0.9976, recall: 0.5319, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7179, kappa: 0.4339, kb_relative_information_score: 27829.6841, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7179, predictive_accuracy: 0.718, prior_entropy: 0.9976, recall: 0.718, relative_absolute_error: 0.7426, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.7207, kappa: 0.4395, kb_relative_information_score: 26615.9271, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7207, predictive_accuracy: 0.7207, prior_entropy: 0.9976, recall: 0.7207, relative_absolute_error: 0.7568, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6773, f_measure: 0.6419, kappa: 0.2814, kb_relative_information_score: -6.4531, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6419, predictive_accuracy: 0.6419, prior_entropy: 0.9976, recall: 0.6419, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9985,

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

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Use one of our APIs to download data from OpenML and upload your results

OpenML APIs