OpenML
Supervised Classification on machine_cpu

Supervised Classification on machine_cpu

Task 3599 Supervised Classification machine_cpu 652 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9318, kappa: 0.8232, kb_relative_information_score: 160.9382, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9325, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4849, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9276, kappa: 0.8139, kb_relative_information_score: 156.5436, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9274, predictive_accuracy: 0.9282, prior_entropy: 0.8417, recall: 0.9282, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2363, root_relative_squared_error: 0.5335, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.9276, kappa: 0.8139, kb_relative_information_score: 160.76, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9274, predictive_accuracy: 0.9282, prior_entropy: 0.8417, recall: 0.9282, relative_absolute_error: 0.2191, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.495, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.9271, kappa: 0.8117, kb_relative_information_score: 166.469, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9274, predictive_accuracy: 0.9282, prior_entropy: 0.8417, recall: 0.9282, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.6049, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.9419, kappa: 0.8503, kb_relative_information_score: 174.8186, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.146, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.541, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.9197, kappa: 0.7984, kb_relative_information_score: 141.9375, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.922, predictive_accuracy: 0.9187, prior_entropy: 0.8417, recall: 0.9187, relative_absolute_error: 0.3298, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.5994, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6188, kb_relative_information_score: 52.3583, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.9288, kappa: 0.8201, kb_relative_information_score: 146.0903, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9298, predictive_accuracy: 0.9282, prior_entropy: 0.8417, recall: 0.9282, relative_absolute_error: 0.3161, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.5846, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9239, kappa: 0.807, kb_relative_information_score: 164.6712, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9245, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.1914, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.5809, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9386, kappa: 0.8458, kb_relative_information_score: 170.8878, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9407, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.234, root_relative_squared_error: 0.5284, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, f_measure: 0.8555, kappa: 0.6113, kb_relative_information_score: 133.0707, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.8902, predictive_accuracy: 0.8708, prior_entropy: 0.8417, recall: 0.8708, relative_absolute_error: 0.3285, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.8115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.9376, kappa: 0.8405, kb_relative_information_score: 172.0354, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9375, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.5631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.9466, kappa: 0.8619, kb_relative_information_score: 168.1112, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9472, predictive_accuracy: 0.9474, prior_entropy: 0.8417, recall: 0.9474, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.5038, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.9469, kappa: 0.8635, kb_relative_information_score: 167.4791, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9469, predictive_accuracy: 0.9474, prior_entropy: 0.8417, recall: 0.9474, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.5038, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9326, kappa: 0.8273, kb_relative_information_score: 160.7932, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9324, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.2209, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4912, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9422, kappa: 0.852, kb_relative_information_score: 159.7147, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.2306, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.4924, scimark_benchmark: 1838.8826, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.933, kappa: 0.8292, kb_relative_information_score: 166.1208, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.5863, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.933, kappa: 0.8292, kb_relative_information_score: 167.7287, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.5815, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.933, kappa: 0.8292, kb_relative_information_score: 168.1894, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.5423, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9386, kappa: 0.8458, kb_relative_information_score: 172.6298, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9407, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.1612, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4922, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4718, f_measure: 0.6188, kb_relative_information_score: -0.6521, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.443, root_relative_squared_error: 1.0003, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.923, kappa: 0.8026, kb_relative_information_score: 163.6858, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9228, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.1946, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.6247, usercpu_time_millis: 375.623, usercpu_time_millis_testing: 4.226, usercpu_time_millis_training: 371.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.8712, kappa: 0.6725, kb_relative_information_score: 133.0707, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.8716, predictive_accuracy: 0.8708, prior_entropy: 0.8417, recall: 0.8708, relative_absolute_error: 0.3285, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.8115, usercpu_time_millis: 10.213, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 9.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.8978, kappa: 0.7284, kb_relative_information_score: 152.5531, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9116, predictive_accuracy: 0.9043, prior_entropy: 0.8417, recall: 0.9043, relative_absolute_error: 0.2433, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6985, usercpu_time_millis: 0.123, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.9368, kappa: 0.8368, kb_relative_information_score: 172.0354, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9373, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.5631, usercpu_time_millis: 0.141, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.86, kappa: 0.6402, kb_relative_information_score: 127.5044, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.8592, predictive_accuracy: 0.8612, prior_entropy: 0.8417, recall: 0.8612, relative_absolute_error: 0.3528, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.8411, usercpu_time_millis: 0.417, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.8283, kappa: 0.6186, kb_relative_information_score: 102.4557, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.8917, predictive_accuracy: 0.8182, prior_entropy: 0.8417, recall: 0.8182, relative_absolute_error: 0.4623, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.9628, usercpu_time_millis: 0.201, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6188, kb_relative_information_score: 52.3583, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.1688, usercpu_time_millis: 0.126, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.9422, kappa: 0.852, kb_relative_information_score: 174.8186, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.146, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.541, usercpu_time_millis: 5.873, usercpu_time_millis_testing: 1.219, usercpu_time_millis_training: 4.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.9134, kappa: 0.7779, kb_relative_information_score: 158.1194, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9131, predictive_accuracy: 0.9139, prior_entropy: 0.8417, recall: 0.9139, relative_absolute_error: 0.219, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6626, usercpu_time_millis: 3.466, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 3.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.9197, kappa: 0.7881, kb_relative_information_score: 163.6858, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9279, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.1946, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.6247, usercpu_time_millis: 5.755, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 5.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.9469, kappa: 0.8635, kb_relative_information_score: 177.6017, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9469, predictive_accuracy: 0.9474, prior_entropy: 0.8417, recall: 0.9474, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.518, usercpu_time_millis: 22.133, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 21.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.9469, kappa: 0.8635, kb_relative_information_score: 177.6017, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9469, predictive_accuracy: 0.9474, prior_entropy: 0.8417, recall: 0.9474, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.518, usercpu_time_millis: 0.634, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 0.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.9276, kappa: 0.8139, kb_relative_information_score: 166.469, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9274, predictive_accuracy: 0.9282, prior_entropy: 0.8417, recall: 0.9282, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.6049, usercpu_time_millis: 0.091, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.9334, kappa: 0.8312, kb_relative_information_score: 169.2522, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.934, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.5844, usercpu_time_millis: 2.131, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 2.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.8796, kappa: 0.6775, kb_relative_information_score: 144.2035, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9043, predictive_accuracy: 0.89, prior_entropy: 0.8417, recall: 0.89, relative_absolute_error: 0.2798, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.749, usercpu_time_millis: 0.14, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.9372, kappa: 0.8387, kb_relative_information_score: 172.0354, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9372, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.5631, usercpu_time_millis: 0.501, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.9337, kappa: 0.833, kb_relative_information_score: 169.2522, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9352, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.5844, usercpu_time_millis: 0.153, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.9419, kappa: 0.8503, kb_relative_information_score: 174.8186, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.146, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.541, usercpu_time_millis: 1.185, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 1.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.9318, kappa: 0.8232, kb_relative_information_score: 169.2522, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9325, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.5844, usercpu_time_millis: 1.495, usercpu_time_millis_testing: 0.584, usercpu_time_millis_training: 0.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.9033, kappa: 0.7436, kb_relative_information_score: 155.3362, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9156, predictive_accuracy: 0.9091, prior_entropy: 0.8417, recall: 0.9091, relative_absolute_error: 0.2311, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6808, usercpu_time_millis: 0.836, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.8769, kappa: 0.6899, kb_relative_information_score: 135.8539, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.879, predictive_accuracy: 0.8756, prior_entropy: 0.8417, recall: 0.8756, relative_absolute_error: 0.3163, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7964, usercpu_time_millis: 1.188, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 0.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5113, f_measure: 0.6118, kappa: 0.022, kb_relative_information_score: -20.0046, mean_absolute_error: 0.3923, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.6164, predictive_accuracy: 0.6077, prior_entropy: 0.8417, recall: 0.6077, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.6264, root_relative_squared_error: 1.4143, usercpu_time_millis: 0.095, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6188, kb_relative_information_score: 52.3583, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.1688, usercpu_time_millis: 0.766, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6188, kb_relative_information_score: 52.3583, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.1688, usercpu_time_millis: 3.245, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 2.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.9209, kappa: 0.7931, kb_relative_information_score: 163.6858, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9241, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.1946, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.6247, usercpu_time_millis: 0.673, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.934, kappa: 0.8349, kb_relative_information_score: 169.2522, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9369, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.5844, usercpu_time_millis: 0.208, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 0.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6188, kb_relative_information_score: 52.3583, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.1688, usercpu_time_millis: 0.132, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.9422, kappa: 0.852, kb_relative_information_score: 174.8186, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.146, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.541, usercpu_time_millis: 0.091, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.9415, kappa: 0.8485, kb_relative_information_score: 174.8186, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9425, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.146, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.541, usercpu_time_millis: 0.17, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.9422, kappa: 0.852, kb_relative_information_score: 174.8186, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.146, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.541, usercpu_time_millis: 0.328, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.9209, kappa: 0.7931, kb_relative_information_score: 163.6858, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9241, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.1946, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.6247, usercpu_time_millis: 0.114, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.9519, kappa: 0.8766, kb_relative_information_score: 180.3849, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9518, predictive_accuracy: 0.9522, prior_entropy: 0.8417, recall: 0.9522, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.4939, usercpu_time_millis: 0.052, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.8737, kappa: 0.6867, kb_relative_information_score: 133.0707, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.88, predictive_accuracy: 0.8708, prior_entropy: 0.8417, recall: 0.8708, relative_absolute_error: 0.3285, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.8115, usercpu_time_millis: 0.043, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.9519, kappa: 0.8766, kb_relative_information_score: 180.3849, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9518, predictive_accuracy: 0.9522, prior_entropy: 0.8417, recall: 0.9522, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.4939, usercpu_time_millis: 34.128, usercpu_time_millis_testing: 1.906, usercpu_time_millis_training: 32.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.9179, kappa: 0.7891, kb_relative_information_score: 160.9026, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9177, predictive_accuracy: 0.9187, prior_entropy: 0.8417, recall: 0.9187, relative_absolute_error: 0.2068, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.644, usercpu_time_millis: 0.128, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.9184, kappa: 0.7915, kb_relative_information_score: 160.9026, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9182, predictive_accuracy: 0.9187, prior_entropy: 0.8417, recall: 0.9187, relative_absolute_error: 0.2068, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.644, usercpu_time_millis: 0.112, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 0.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.9174, kappa: 0.7866, kb_relative_information_score: 160.9026, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9175, predictive_accuracy: 0.9187, prior_entropy: 0.8417, recall: 0.9187, relative_absolute_error: 0.2068, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.644, usercpu_time_millis: 1.266, usercpu_time_millis_testing: 0.438, usercpu_time_millis_training: 0.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.9364, kappa: 0.8349, kb_relative_information_score: 172.0354, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9378, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.5631, usercpu_time_millis: 0.358, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 0.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.9415, kappa: 0.8485, kb_relative_information_score: 174.8186, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9425, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.146, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.541, usercpu_time_millis: 0.964, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.9209, kappa: 0.7931, kb_relative_information_score: 163.6858, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9241, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.1946, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.6247, usercpu_time_millis: 0.11, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.9469, kappa: 0.8635, kb_relative_information_score: 177.6017, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9469, predictive_accuracy: 0.9474, prior_entropy: 0.8417, recall: 0.9474, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.518, usercpu_time_millis: 1.683, usercpu_time_millis_testing: 0.603, usercpu_time_millis_training: 1.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.933, kappa: 0.8292, kb_relative_information_score: 169.2522, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.5844, usercpu_time_millis: 1.359, usercpu_time_millis_testing: 0.525, usercpu_time_millis_training: 0.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6188, kb_relative_information_score: 52.3583, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.1688, usercpu_time_millis: 0.205, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.9234, kappa: 0.8049, kb_relative_information_score: 163.6858, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9234, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.1946, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.6247, usercpu_time_millis: 4.236, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 3.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.9326, kappa: 0.8273, kb_relative_information_score: 169.2522, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9324, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.5844, usercpu_time_millis: 1.101, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.9322, kappa: 0.8253, kb_relative_information_score: 169.2522, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9323, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.5844, usercpu_time_millis: 0.565, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6188, kb_relative_information_score: 52.3583, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.1688, usercpu_time_millis: 0.148, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.9197, kappa: 0.7984, kb_relative_information_score: 160.9026, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.922, predictive_accuracy: 0.9187, prior_entropy: 0.8417, recall: 0.9187, relative_absolute_error: 0.2068, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.644, usercpu_time_millis: 0.301, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.9422, kappa: 0.852, kb_relative_information_score: 174.8186, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.146, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.541, usercpu_time_millis: 0.363, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.8966, kappa: 0.7301, kb_relative_information_score: 149.7699, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.898, predictive_accuracy: 0.8995, prior_entropy: 0.8417, recall: 0.8995, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.317, root_relative_squared_error: 0.7157, usercpu_time_millis: 0.324, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6188, kb_relative_information_score: 52.3583, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.1688, usercpu_time_millis: 0.643, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 0.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.9372, kappa: 0.8387, kb_relative_information_score: 172.0354, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9372, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.5631, usercpu_time_millis: 12.371, usercpu_time_millis_testing: 1.891, usercpu_time_millis_training: 10.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.923, kappa: 0.8026, kb_relative_information_score: 132.8998, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9228, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.3963, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.237, root_relative_squared_error: 0.5351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, f_measure: 0.6188, kb_relative_information_score: -7.8379, mean_absolute_error: 0.3971, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 1.0096, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.4437, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, f_measure: 0.6188, kb_relative_information_score: -7.8379, mean_absolute_error: 0.3971, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 1.0096, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.4437, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9197, kappa: 0.7984, kb_relative_information_score: 147.7101, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.922, predictive_accuracy: 0.9187, prior_entropy: 0.8417, recall: 0.9187, relative_absolute_error: 0.2749, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9197, kappa: 0.7984, kb_relative_information_score: 147.7101, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.922, predictive_accuracy: 0.9187, prior_entropy: 0.8417, recall: 0.9187, relative_absolute_error: 0.2749, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9422, kappa: 0.852, kb_relative_information_score: 164.1064, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.2108, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9422, kappa: 0.852, kb_relative_information_score: 164.1064, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.2108, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.923, kappa: 0.8026, kb_relative_information_score: 132.8998, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9228, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.3963, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.237, root_relative_squared_error: 0.5351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.6188, kb_relative_information_score: 23.1889, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 0.9054, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.9155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.923, kappa: 0.8026, kb_relative_information_score: 132.8998, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9228, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.3963, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.237, root_relative_squared_error: 0.5351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9372, kappa: 0.8387, kb_relative_information_score: 163.5187, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9372, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.4985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9422, kappa: 0.852, kb_relative_information_score: 164.1064, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.2108, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.6188, kb_relative_information_score: 23.1889, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 0.9054, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.9155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.923, kappa: 0.8026, kb_relative_information_score: 132.8998, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9228, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.3963, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.237, root_relative_squared_error: 0.5351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, f_measure: 0.6188, kb_relative_information_score: -7.8379, mean_absolute_error: 0.3971, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 1.0096, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.4437, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9197, kappa: 0.7984, kb_relative_information_score: 147.7101, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.922, predictive_accuracy: 0.9187, prior_entropy: 0.8417, recall: 0.9187, relative_absolute_error: 0.2749, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.6188, kb_relative_information_score: 23.1889, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 0.9054, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.9155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9234, kappa: 0.8049, kb_relative_information_score: 151.0777, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9234, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.5127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.923, kappa: 0.8026, kb_relative_information_score: 132.8998, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9228, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.3963, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.237, root_relative_squared_error: 0.5351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.6188, kb_relative_information_score: 23.1889, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 0.9054, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.9155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, f_measure: 0.6188, kb_relative_information_score: -7.8379, mean_absolute_error: 0.3971, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 1.0096, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.4437, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9372, kappa: 0.8387, kb_relative_information_score: 163.5187, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9372, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.4985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9372, kappa: 0.8387, kb_relative_information_score: 163.5187, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9372, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.4985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, f_measure: 0.6188, kb_relative_information_score: -7.8379, mean_absolute_error: 0.3971, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 1.0096, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.4437, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9234, kappa: 0.8049, kb_relative_information_score: 151.0777, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9234, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.5127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9372, kappa: 0.8387, kb_relative_information_score: 163.5187, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9372, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.4985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9372, kappa: 0.8387, kb_relative_information_score: 163.5187, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9372, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.4985,

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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From your own software

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

OpenML APIs