OpenML
Supervised Classification on ringnorm

Supervised Classification on ringnorm

Task 9959 Supervised Classification ringnorm 89 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

89 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9762, kappa: 0.9524, kb_relative_information_score: 6966.3958, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9762, predictive_accuracy: 0.9762, prior_entropy: 0.9999, recall: 0.9762, relative_absolute_error: 0.0621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1477, root_relative_squared_error: 0.2953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9532, kappa: 0.9065, kb_relative_information_score: 6031.6529, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9534, predictive_accuracy: 0.9532, prior_entropy: 0.9999, recall: 0.9532, relative_absolute_error: 0.2075, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.3914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.9188, kappa: 0.8376, kb_relative_information_score: 5845.7595, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.919, predictive_accuracy: 0.9188, prior_entropy: 0.9999, recall: 0.9188, relative_absolute_error: 0.226, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.5369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9804, kappa: 0.9608, kb_relative_information_score: 6970.7218, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9805, predictive_accuracy: 0.9804, prior_entropy: 0.9999, recall: 0.9804, relative_absolute_error: 0.0631, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.2493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9759, kappa: 0.9519, kb_relative_information_score: 6968.2252, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.976, predictive_accuracy: 0.9759, prior_entropy: 0.9999, recall: 0.9759, relative_absolute_error: 0.0617, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.8176, kappa: 0.6437, kb_relative_information_score: 4752.8612, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.8578, predictive_accuracy: 0.8224, prior_entropy: 0.9999, recall: 0.8224, relative_absolute_error: 0.3581, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9551, kappa: 0.9103, kb_relative_information_score: 6741.8884, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9551, predictive_accuracy: 0.9551, prior_entropy: 0.9999, recall: 0.9551, relative_absolute_error: 0.0888, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.3996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9799, kappa: 0.9597, kb_relative_information_score: 7045.3687, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.98, predictive_accuracy: 0.9799, prior_entropy: 0.9999, recall: 0.9799, relative_absolute_error: 0.0508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.2774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8131, kappa: 0.631, kb_relative_information_score: 4676.9932, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.8346, predictive_accuracy: 0.8159, prior_entropy: 0.9999, recall: 0.8159, relative_absolute_error: 0.3686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.6932, kappa: 0.432, kb_relative_information_score: 3230.7014, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.813, predictive_accuracy: 0.7176, prior_entropy: 0.9999, recall: 0.7176, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5233, root_relative_squared_error: 1.0467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.6512, kappa: 0.3693, kb_relative_information_score: 2911.0015, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.8066, predictive_accuracy: 0.6866, prior_entropy: 0.9999, recall: 0.6866, relative_absolute_error: 0.603, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4787, root_relative_squared_error: 0.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.7635, kappa: 0.5302, kb_relative_information_score: 3907.5675, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.7738, predictive_accuracy: 0.7655, prior_entropy: 0.9999, recall: 0.7655, relative_absolute_error: 0.4723, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9799, kappa: 0.9597, kb_relative_information_score: 7016.6045, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.98, predictive_accuracy: 0.9799, prior_entropy: 0.9999, recall: 0.9799, relative_absolute_error: 0.0551, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1235, root_relative_squared_error: 0.2471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9799, kappa: 0.9597, kb_relative_information_score: 7016.6045, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.98, predictive_accuracy: 0.9799, prior_entropy: 0.9999, recall: 0.9799, relative_absolute_error: 0.0551, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1235, root_relative_squared_error: 0.2471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9397, kappa: 0.8795, kb_relative_information_score: 5907.1629, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9399, predictive_accuracy: 0.9397, prior_entropy: 0.9999, recall: 0.9397, relative_absolute_error: 0.2204, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.4387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9489, kappa: 0.8978, kb_relative_information_score: 5123.3277, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.949, predictive_accuracy: 0.9489, prior_entropy: 0.9999, recall: 0.9489, relative_absolute_error: 0.3533, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.4687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3388, kb_relative_information_score: -0.0023, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.2549, predictive_accuracy: 0.5049, prior_entropy: 0.9999, recall: 0.5049, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8364, kappa: 0.6798, kb_relative_information_score: 4553.973, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.8742, predictive_accuracy: 0.8404, prior_entropy: 0.9999, recall: 0.8404, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.6611, kappa: 0.3841, kb_relative_information_score: 3015.4, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.8094, predictive_accuracy: 0.6939, prior_entropy: 0.9999, recall: 0.6939, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.6611, kappa: 0.3841, kb_relative_information_score: 3015.4, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.8094, predictive_accuracy: 0.6939, prior_entropy: 0.9999, recall: 0.6939, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, f_measure: 0.7074, kappa: 0.4239, kb_relative_information_score: 3147.4193, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.7275, predictive_accuracy: 0.7127, prior_entropy: 0.9999, recall: 0.7127, relative_absolute_error: 0.5746, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.536, root_relative_squared_error: 1.0721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.9078, kappa: 0.8156, kb_relative_information_score: 5944.9987, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9078, predictive_accuracy: 0.9078, prior_entropy: 0.9999, recall: 0.9078, relative_absolute_error: 0.2008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.5935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9799, kappa: 0.9597, kb_relative_information_score: 7016.5731, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.98, predictive_accuracy: 0.9799, prior_entropy: 0.9999, recall: 0.9799, relative_absolute_error: 0.0551, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.7615, kappa: 0.5269, kb_relative_information_score: 2943.64, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.7735, predictive_accuracy: 0.7639, prior_entropy: 0.9999, recall: 0.7639, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.8387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.926, kappa: 0.8521, kb_relative_information_score: 5974.3839, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9273, predictive_accuracy: 0.9261, prior_entropy: 0.9999, recall: 0.9261, relative_absolute_error: 0.2044, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.4709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9519, kappa: 0.9038, kb_relative_information_score: 5753.8197, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9521, predictive_accuracy: 0.9519, prior_entropy: 0.9999, recall: 0.9519, relative_absolute_error: 0.2526, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.4117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.7615, kappa: 0.5269, kb_relative_information_score: 3905.5227, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.7735, predictive_accuracy: 0.7639, prior_entropy: 0.9999, recall: 0.7639, relative_absolute_error: 0.4722, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4859, root_relative_squared_error: 0.9718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.7621, kappa: 0.528, kb_relative_information_score: 3913.5238, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.7741, predictive_accuracy: 0.7645, prior_entropy: 0.9999, recall: 0.7645, relative_absolute_error: 0.4711, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.9078, kappa: 0.8156, kb_relative_information_score: 5944.9987, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9078, predictive_accuracy: 0.9078, prior_entropy: 0.9999, recall: 0.9078, relative_absolute_error: 0.2008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.5935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9796, kappa: 0.9592, kb_relative_information_score: 7015.4609, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9797, predictive_accuracy: 0.9796, prior_entropy: 0.9999, recall: 0.9796, relative_absolute_error: 0.0553, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1235, root_relative_squared_error: 0.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9761, kappa: 0.9521, kb_relative_information_score: 6903.0857, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9762, predictive_accuracy: 0.9761, prior_entropy: 0.9999, recall: 0.9761, relative_absolute_error: 0.0724, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.2718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3279, kb_relative_information_score: -1.0154, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.2452, predictive_accuracy: 0.4951, prior_entropy: 0.9999, recall: 0.4951, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9313, kappa: 0.8628, kb_relative_information_score: 5521.6636, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9343, predictive_accuracy: 0.9314, prior_entropy: 0.9999, recall: 0.9314, relative_absolute_error: 0.2812, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.4667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.8773, kappa: 0.7545, kb_relative_information_score: 5583.7518, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.8774, predictive_accuracy: 0.8773, prior_entropy: 0.9999, recall: 0.8773, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.7006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.9474, kappa: 0.8949, kb_relative_information_score: 6621.8935, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9486, predictive_accuracy: 0.9474, prior_entropy: 0.9999, recall: 0.9474, relative_absolute_error: 0.1051, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.4586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.8246, kappa: 0.6535, kb_relative_information_score: 4841.6505, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.8457, predictive_accuracy: 0.8272, prior_entropy: 0.9999, recall: 0.8272, relative_absolute_error: 0.3457, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.8315, usercpu_time_millis: 18.987, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 18.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.8026, kappa: 0.6077, kb_relative_information_score: 4501.6041, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.8132, predictive_accuracy: 0.8042, prior_entropy: 0.9999, recall: 0.8042, relative_absolute_error: 0.3917, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.8851, usercpu_time_millis: 2.493, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 2.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9531, kappa: 0.9063, kb_relative_information_score: 6705.905, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9541, predictive_accuracy: 0.9531, prior_entropy: 0.9999, recall: 0.9531, relative_absolute_error: 0.0938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.4331, usercpu_time_millis: 1220.457, usercpu_time_millis_testing: 60.781, usercpu_time_millis_training: 1159.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9778, kappa: 0.9557, kb_relative_information_score: 7071.955, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9779, predictive_accuracy: 0.9778, prior_entropy: 0.9999, recall: 0.9778, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.2978, usercpu_time_millis: 12.942, usercpu_time_millis_testing: 0.549, usercpu_time_millis_training: 12.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.7188, kappa: 0.4678, kb_relative_information_score: 3479.4646, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.8019, predictive_accuracy: 0.7351, prior_entropy: 0.9999, recall: 0.7351, relative_absolute_error: 0.5298, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.0293, usercpu_time_millis: 5.49, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 5.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7611, f_measure: 0.7605, kappa: 0.5228, kb_relative_information_score: 3873.5184, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.7665, predictive_accuracy: 0.7618, prior_entropy: 0.9999, recall: 0.7618, relative_absolute_error: 0.4765, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4881, root_relative_squared_error: 0.9763, usercpu_time_millis: 2.44, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 2.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6194, f_measure: 0.6154, kappa: 0.2394, kb_relative_information_score: 1783.2331, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.6259, predictive_accuracy: 0.6205, prior_entropy: 0.9999, recall: 0.6205, relative_absolute_error: 0.759, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.616, root_relative_squared_error: 1.2321, usercpu_time_millis: 2.49, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 2.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.8497, kappa: 0.7002, kb_relative_information_score: 5179.6967, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.8533, predictive_accuracy: 0.85, prior_entropy: 0.9999, recall: 0.85, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7746, usercpu_time_millis: 1.461, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.9223, kappa: 0.8446, kb_relative_information_score: 6249.8427, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.923, predictive_accuracy: 0.9223, prior_entropy: 0.9999, recall: 0.9223, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2788, root_relative_squared_error: 0.5575, usercpu_time_millis: 81.609, usercpu_time_millis_testing: 0.572, usercpu_time_millis_training: 81.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9788, kappa: 0.9576, kb_relative_information_score: 7085.9569, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9789, predictive_accuracy: 0.9788, prior_entropy: 0.9999, recall: 0.9788, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.2913, usercpu_time_millis: 72.51, usercpu_time_millis_testing: 0.465, usercpu_time_millis_training: 72.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.954, kappa: 0.9081, kb_relative_information_score: 6719.9069, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9551, predictive_accuracy: 0.9541, prior_entropy: 0.9999, recall: 0.9541, relative_absolute_error: 0.0919, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4287, usercpu_time_millis: 104.829, usercpu_time_millis_testing: 1.9, usercpu_time_millis_training: 102.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.9507, kappa: 0.9014, kb_relative_information_score: 6669.9001, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9518, predictive_accuracy: 0.9507, prior_entropy: 0.9999, recall: 0.9507, relative_absolute_error: 0.0987, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.4442, usercpu_time_millis: 138.854, usercpu_time_millis_testing: 0.702, usercpu_time_millis_training: 138.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9785, kappa: 0.957, kb_relative_information_score: 7081.9563, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9786, predictive_accuracy: 0.9785, prior_entropy: 0.9999, recall: 0.9785, relative_absolute_error: 0.043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.2932, usercpu_time_millis: 1.694, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 1.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.8665, kappa: 0.7344, kb_relative_information_score: 5437.7319, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.8762, predictive_accuracy: 0.8674, prior_entropy: 0.9999, recall: 0.8674, relative_absolute_error: 0.2652, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7282, usercpu_time_millis: 416.727, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 416.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.7577, kappa: 0.5158, kb_relative_information_score: 3819.511, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.7594, predictive_accuracy: 0.7581, prior_entropy: 0.9999, recall: 0.7581, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9837, usercpu_time_millis: 2.403, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 2.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.7592, kappa: 0.5206, kb_relative_information_score: 3857.5162, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.7659, predictive_accuracy: 0.7607, prior_entropy: 0.9999, recall: 0.7607, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9785, usercpu_time_millis: 1.907, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 1.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.7576, kappa: 0.516, kb_relative_information_score: 3821.5113, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.7603, predictive_accuracy: 0.7582, prior_entropy: 0.9999, recall: 0.7582, relative_absolute_error: 0.4836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4917, root_relative_squared_error: 0.9834, usercpu_time_millis: 2.797, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 2.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.9388, kappa: 0.8776, kb_relative_information_score: 6493.876, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9388, predictive_accuracy: 0.9388, prior_entropy: 0.9999, recall: 0.9388, relative_absolute_error: 0.1224, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.4949, usercpu_time_millis: 12.392, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 11.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7652, f_measure: 0.7639, kappa: 0.5313, kb_relative_information_score: 3937.5271, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.775, predictive_accuracy: 0.7661, prior_entropy: 0.9999, recall: 0.7661, relative_absolute_error: 0.4679, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9673, usercpu_time_millis: 8.628, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 8.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6198, f_measure: 0.6197, kappa: 0.2398, kb_relative_information_score: 1777.2322, mean_absolute_error: 0.3799, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.6203, predictive_accuracy: 0.6201, prior_entropy: 0.9999, recall: 0.6201, relative_absolute_error: 0.7598, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6163, root_relative_squared_error: 1.2327, usercpu_time_millis: 1.728, usercpu_time_millis_testing: 0.331, usercpu_time_millis_training: 1.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7427, f_measure: 0.7425, kappa: 0.4857, kb_relative_information_score: 3597.4807, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.7448, predictive_accuracy: 0.7431, prior_entropy: 0.9999, recall: 0.7431, relative_absolute_error: 0.5138, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5068, root_relative_squared_error: 1.0137, usercpu_time_millis: 1.752, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 1.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7124, f_measure: 0.7122, kappa: 0.4252, kb_relative_information_score: 3149.4195, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.714, predictive_accuracy: 0.7128, prior_entropy: 0.9999, recall: 0.7128, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5359, root_relative_squared_error: 1.0718, usercpu_time_millis: 176.114, usercpu_time_millis_testing: 11.013, usercpu_time_millis_training: 165.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.7842, kappa: 0.5686, kb_relative_information_score: 4209.5642, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.7854, predictive_accuracy: 0.7845, prior_entropy: 0.9999, recall: 0.7845, relative_absolute_error: 0.4311, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9286, usercpu_time_millis: 13.205, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 13.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, f_measure: 0.6258, kappa: 0.2622, kb_relative_information_score: 1953.2563, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.6397, predictive_accuracy: 0.632, prior_entropy: 0.9999, recall: 0.632, relative_absolute_error: 0.736, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6066, root_relative_squared_error: 1.2133, usercpu_time_millis: 12.734, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 12.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9799, kappa: 0.9597, kb_relative_information_score: 7101.959, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.98, predictive_accuracy: 0.9799, prior_entropy: 0.9999, recall: 0.9799, relative_absolute_error: 0.0403, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.2838, usercpu_time_millis: 6.129, usercpu_time_millis_testing: 5.287, usercpu_time_millis_training: 0.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.7579, kappa: 0.5165, kb_relative_information_score: 3825.5118, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.7607, predictive_accuracy: 0.7585, prior_entropy: 0.9999, recall: 0.7585, relative_absolute_error: 0.483, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4914, root_relative_squared_error: 0.9829, usercpu_time_millis: 6.715, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 6.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.8189, kappa: 0.6409, kb_relative_information_score: 4747.6377, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.8336, predictive_accuracy: 0.8208, prior_entropy: 0.9999, recall: 0.8208, relative_absolute_error: 0.3584, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8467, usercpu_time_millis: 69.818, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 69.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7579, f_measure: 0.7577, kappa: 0.5162, kb_relative_information_score: 3823.5115, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.7607, predictive_accuracy: 0.7584, prior_entropy: 0.9999, recall: 0.7584, relative_absolute_error: 0.4833, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9831, usercpu_time_millis: 12.491, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 12.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.7576, kappa: 0.516, kb_relative_information_score: 3821.5113, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.7603, predictive_accuracy: 0.7582, prior_entropy: 0.9999, recall: 0.7582, relative_absolute_error: 0.4836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4917, root_relative_squared_error: 0.9834, usercpu_time_millis: 2.258, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 2.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.736, f_measure: 0.7229, kappa: 0.4741, kb_relative_information_score: 3525.4709, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.8017, predictive_accuracy: 0.7382, prior_entropy: 0.9999, recall: 0.7382, relative_absolute_error: 0.5236, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5116, root_relative_squared_error: 1.0233, usercpu_time_millis: 0.352, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 0.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, f_measure: 0.7598, kappa: 0.5217, kb_relative_information_score: 3865.5173, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.7665, predictive_accuracy: 0.7612, prior_entropy: 0.9999, recall: 0.7612, relative_absolute_error: 0.4776, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4887, root_relative_squared_error: 0.9774, usercpu_time_millis: 1.815, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 1.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, f_measure: 0.7582, kappa: 0.5176, kb_relative_information_score: 3833.5129, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.7618, predictive_accuracy: 0.7591, prior_entropy: 0.9999, recall: 0.7591, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4909, root_relative_squared_error: 0.9818, usercpu_time_millis: 0.363, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 0.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9785, kappa: 0.957, kb_relative_information_score: 7081.9563, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9786, predictive_accuracy: 0.9785, prior_entropy: 0.9999, recall: 0.9785, relative_absolute_error: 0.043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.2932, usercpu_time_millis: 7.344, usercpu_time_millis_testing: 0.548, usercpu_time_millis_training: 6.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.6943, kappa: 0.4355, kb_relative_information_score: 3245.4326, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.8196, predictive_accuracy: 0.7193, prior_entropy: 0.9999, recall: 0.7193, relative_absolute_error: 0.5614, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5298, root_relative_squared_error: 1.0596, usercpu_time_millis: 3.44, usercpu_time_millis_testing: 3.18, usercpu_time_millis_training: 0.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.9219, kappa: 0.8438, kb_relative_information_score: 6243.8419, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.922, predictive_accuracy: 0.9219, prior_entropy: 0.9999, recall: 0.9219, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.559, usercpu_time_millis: 36.422, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 36.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.9078, kappa: 0.8156, kb_relative_information_score: 6035.8135, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9078, predictive_accuracy: 0.9078, prior_entropy: 0.9999, recall: 0.9078, relative_absolute_error: 0.1843, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.6072, usercpu_time_millis: 10.347, usercpu_time_millis_testing: 0.717, usercpu_time_millis_training: 9.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7472, f_measure: 0.7328, kappa: 0.4967, kb_relative_information_score: 3693.4938, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.8281, predictive_accuracy: 0.7496, prior_entropy: 0.9999, recall: 0.7496, relative_absolute_error: 0.5009, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0009, usercpu_time_millis: 61.051, usercpu_time_millis_testing: 9.634, usercpu_time_millis_training: 51.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, f_measure: 0.7598, kappa: 0.5217, kb_relative_information_score: 3865.5173, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.7665, predictive_accuracy: 0.7612, prior_entropy: 0.9999, recall: 0.7612, relative_absolute_error: 0.4776, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4887, root_relative_squared_error: 0.9774, usercpu_time_millis: 26.708, usercpu_time_millis_testing: 3.512, usercpu_time_millis_training: 23.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7613, f_measure: 0.7604, kappa: 0.5233, kb_relative_information_score: 3877.5189, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.768, predictive_accuracy: 0.762, prior_entropy: 0.9999, recall: 0.762, relative_absolute_error: 0.476, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9757, usercpu_time_millis: 6.422, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 6.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, f_measure: 0.7586, kappa: 0.5183, kb_relative_information_score: 3839.5137, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.7625, predictive_accuracy: 0.7595, prior_entropy: 0.9999, recall: 0.7595, relative_absolute_error: 0.4811, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4904, root_relative_squared_error: 0.9809, usercpu_time_millis: 2.71, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 2.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6798, f_measure: 0.6567, kappa: 0.3615, kb_relative_information_score: 2699.3581, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.755, predictive_accuracy: 0.6824, prior_entropy: 0.9999, recall: 0.6824, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5635, root_relative_squared_error: 1.1271, usercpu_time_millis: 8.683, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 8.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.8653, kappa: 0.731, kb_relative_information_score: 5407.7278, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.8675, predictive_accuracy: 0.8654, prior_entropy: 0.9999, recall: 0.8654, relative_absolute_error: 0.2692, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7338, usercpu_time_millis: 4.521, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 4.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7362, f_measure: 0.7229, kappa: 0.4746, kb_relative_information_score: 3529.4714, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.8036, predictive_accuracy: 0.7385, prior_entropy: 0.9999, recall: 0.7385, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5114, root_relative_squared_error: 1.0228, usercpu_time_millis: 2.653, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 2.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.9405, kappa: 0.8812, kb_relative_information_score: 6521.8799, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9437, predictive_accuracy: 0.9407, prior_entropy: 0.9999, recall: 0.9407, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.4872, usercpu_time_millis: 999.836, usercpu_time_millis_testing: 241.903, usercpu_time_millis_training: 757.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9718, kappa: 0.9435, kb_relative_information_score: 6981.9427, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9718, predictive_accuracy: 0.9718, prior_entropy: 0.9999, recall: 0.9718, relative_absolute_error: 0.0565, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.3361, usercpu_time_millis: 408.25, usercpu_time_millis_testing: 6.329, usercpu_time_millis_training: 401.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.9609, kappa: 0.9219, kb_relative_information_score: 6821.9208, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.961, predictive_accuracy: 0.9609, prior_entropy: 0.9999, recall: 0.9609, relative_absolute_error: 0.0781, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.3953, usercpu_time_millis: 54.486, usercpu_time_millis_testing: 0.704, usercpu_time_millis_training: 53.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.7576, kappa: 0.516, kb_relative_information_score: 3821.5113, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.7603, predictive_accuracy: 0.7582, prior_entropy: 0.9999, recall: 0.7582, relative_absolute_error: 0.4836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4917, root_relative_squared_error: 0.9834, usercpu_time_millis: 2.704, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 2.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.828, kappa: 0.66, kb_relative_information_score: 4889.6571, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.8481, predictive_accuracy: 0.8304, prior_entropy: 0.9999, recall: 0.8304, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8237, usercpu_time_millis: 20.593, usercpu_time_millis_testing: 0.514, usercpu_time_millis_training: 20.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.8096, kappa: 0.6213, kb_relative_information_score: 4601.6178, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.819, predictive_accuracy: 0.8109, prior_entropy: 0.9999, recall: 0.8109, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4348, root_relative_squared_error: 0.8696, usercpu_time_millis: 60.231, usercpu_time_millis_testing: 0.451, usercpu_time_millis_training: 59.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9634, kappa: 0.9268, kb_relative_information_score: 6857.9257, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9634, predictive_accuracy: 0.9634, prior_entropy: 0.9999, recall: 0.9634, relative_absolute_error: 0.0733, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.3828, usercpu_time_millis: 260.25, usercpu_time_millis_testing: 2.285, usercpu_time_millis_training: 257.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3388, kb_relative_information_score: 70.9993, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.2549, predictive_accuracy: 0.5049, prior_entropy: 0.9999, recall: 0.5049, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7037, root_relative_squared_error: 1.4074, scimark_benchmark: 979.034, usercpu_time_millis: 110800, usercpu_time_millis_testing: 29120, usercpu_time_millis_training: 81680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7472, f_measure: 0.7328, kappa: 0.4967, kb_relative_information_score: 3692.6943, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.8281, predictive_accuracy: 0.7496, prior_entropy: 0.9999, recall: 0.7496, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0007, scimark_benchmark: 979.034, usercpu_time_millis: 7870, usercpu_time_millis_testing: 7860, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.9078, kappa: 0.8156, kb_relative_information_score: 5944.9987, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9078, predictive_accuracy: 0.9078, prior_entropy: 0.9999, recall: 0.9078, relative_absolute_error: 0.2008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.5935, scimark_benchmark: 979.034, usercpu_time_millis: 890, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.9078, kappa: 0.8156, kb_relative_information_score: 5944.9987, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.5, number_of_instances: 7400, precision: 0.9078, predictive_accuracy: 0.9078, prior_entropy: 0.9999, recall: 0.9078, relative_absolute_error: 0.2008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.5935,

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