Task
Supervised Classification on eucalyptus

Supervised Classification on eucalyptus

Task 2079 Supervised Classification eucalyptus 20196 runs submitted
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  • at2 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_70 study_98 study_99 under100k under1m
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20196 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.5572, kappa: 0.4282, kb_relative_information_score: 351.7632, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6339, predictive_accuracy: 0.553, prior_entropy: 2.2629, recall: 0.553, relative_absolute_error: 0.5878, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.9446, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.3421, kappa: 0.2907, kb_relative_information_score: 228.187, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.2678, predictive_accuracy: 0.4851, prior_entropy: 2.2629, recall: 0.4851, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.8943, scimark_benchmark: 479.2609, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.5256, kappa: 0.3974, kb_relative_information_score: 337.3446, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6124, predictive_accuracy: 0.5299, prior_entropy: 2.2629, recall: 0.5299, relative_absolute_error: 0.6039, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.9768, scimark_benchmark: 473.1656, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.6435, kappa: 0.5436, kb_relative_information_score: 428.3803, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6446, predictive_accuracy: 0.644, prior_entropy: 2.2629, recall: 0.644, relative_absolute_error: 0.5038, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.8089, scimark_benchmark: 1254.1389, usercpu_time_millis: 980, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.6092, kappa: 0.5025, kb_relative_information_score: 386.0476, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6259, predictive_accuracy: 0.6168, prior_entropy: 2.2629, recall: 0.6168, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.8494, scimark_benchmark: 473.1656, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.5156, kappa: 0.3773, kb_relative_information_score: 312.1376, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5232, predictive_accuracy: 0.5109, prior_entropy: 2.2629, recall: 0.5109, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4407, root_relative_squared_error: 1.1136, scimark_benchmark: 473.1656, usercpu_time_millis: 310, usercpu_time_millis_testing: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.5572, kappa: 0.4282, kb_relative_information_score: 351.7632, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6339, predictive_accuracy: 0.553, prior_entropy: 2.2629, recall: 0.553, relative_absolute_error: 0.5878, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.9446, scimark_benchmark: 1235.8585, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.6272, kappa: 0.5321, kb_relative_information_score: 354.476, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6394, predictive_accuracy: 0.6399, prior_entropy: 2.2629, recall: 0.6399, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.7952, scimark_benchmark: 1243.7294, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.5156, kappa: 0.3773, kb_relative_information_score: 312.1376, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5232, predictive_accuracy: 0.5109, prior_entropy: 2.2629, recall: 0.5109, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4407, root_relative_squared_error: 1.1136, scimark_benchmark: 1203.122, usercpu_time_millis: 140, usercpu_time_millis_testing: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.6096, kappa: 0.5023, kb_relative_information_score: 399.9901, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6094, predictive_accuracy: 0.6101, prior_entropy: 2.2629, recall: 0.6101, relative_absolute_error: 0.5155, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.9201, scimark_benchmark: 478.2125, usercpu_time_millis: 89790, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 89660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.6454, kappa: 0.5474, kb_relative_information_score: 428.9895, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6455, predictive_accuracy: 0.6467, prior_entropy: 2.2629, recall: 0.6467, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.7892, scimark_benchmark: 1253.1315, usercpu_time_millis: 650, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.6476, kappa: 0.55, kb_relative_information_score: 415.0693, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6482, predictive_accuracy: 0.6495, prior_entropy: 2.2629, recall: 0.6495, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.304, root_relative_squared_error: 0.7683, scimark_benchmark: 1245.2332, usercpu_time_millis: 7840, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 7790,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.4051, kappa: 0.2595, kb_relative_information_score: 229.7403, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4043, predictive_accuracy: 0.4375, prior_entropy: 2.2629, recall: 0.4375, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.9714, scimark_benchmark: 1059.0777, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.5615, kappa: 0.4374, kb_relative_information_score: 332.019, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.564, predictive_accuracy: 0.5625, prior_entropy: 2.2629, recall: 0.5625, relative_absolute_error: 0.6573, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.8282, scimark_benchmark: 1134.2524, usercpu_time_millis: 410, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.6081, kappa: 0.5006, kb_relative_information_score: 345.9435, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6255, predictive_accuracy: 0.6168, prior_entropy: 2.2629, recall: 0.6168, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.8129, scimark_benchmark: 1140.9982, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.6428, kappa: 0.5464, kb_relative_information_score: 239.4429, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.645, predictive_accuracy: 0.6481, prior_entropy: 2.2629, recall: 0.6481, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.8706, scimark_benchmark: 464.1185, usercpu_time_millis: 420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.525, kappa: 0.3941, kb_relative_information_score: 330.3635, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5281, predictive_accuracy: 0.5313, prior_entropy: 2.2629, recall: 0.5313, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.8696, scimark_benchmark: 1320.2557, usercpu_time_millis: 140, usercpu_time_millis_testing: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.5502, kappa: 0.4267, kb_relative_information_score: 319.6221, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5622, predictive_accuracy: 0.5584, prior_entropy: 2.2629, recall: 0.5584, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.838, scimark_benchmark: 1361.4624, usercpu_time_millis: 140, usercpu_time_millis_testing: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.4554, kappa: 0.3021, kb_relative_information_score: 268.7912, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4963, predictive_accuracy: 0.4538, prior_entropy: 2.2629, recall: 0.4538, relative_absolute_error: 0.6999, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4657, root_relative_squared_error: 1.1768, scimark_benchmark: 1332.9867, usercpu_time_millis: 120, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.5567, kappa: 0.4417, kb_relative_information_score: 362.2332, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5883, predictive_accuracy: 0.5679, prior_entropy: 2.2629, recall: 0.5679, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.345, root_relative_squared_error: 0.8719, scimark_benchmark: 1313.0509, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.5797, kappa: 0.4619, kb_relative_information_score: 353.216, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5807, predictive_accuracy: 0.5815, prior_entropy: 2.2629, recall: 0.5815, relative_absolute_error: 0.6351, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.815, scimark_benchmark: 555.5515, usercpu_time_millis: 470, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8579, f_measure: 0.56, kappa: 0.445, kb_relative_information_score: 359.579, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5905, predictive_accuracy: 0.5693, prior_entropy: 2.2629, recall: 0.5693, relative_absolute_error: 0.5921, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.8865, scimark_benchmark: 1018.4566, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.4615, kappa: 0.3167, kb_relative_information_score: 272.671, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4704, predictive_accuracy: 0.4769, prior_entropy: 2.2629, recall: 0.4769, relative_absolute_error: 0.7281, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.9252, scimark_benchmark: 1139.4876, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.4498, kappa: 0.3008, kb_relative_information_score: 263.7699, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4829, predictive_accuracy: 0.4579, prior_entropy: 2.2629, recall: 0.4579, relative_absolute_error: 0.7662, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.9672, scimark_benchmark: 873.8181, usercpu_time_millis: 200, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.4206, kappa: 0.26, kb_relative_information_score: 233.7368, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4546, predictive_accuracy: 0.4293, prior_entropy: 2.2629, recall: 0.4293, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.9513, scimark_benchmark: 1277.3952, usercpu_time_millis: 140, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.5212, kappa: 0.3977, kb_relative_information_score: 344.1196, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5443, predictive_accuracy: 0.5313, prior_entropy: 2.2629, recall: 0.5313, relative_absolute_error: 0.6322, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.9642, scimark_benchmark: 1263.5422, usercpu_time_millis: 110, usercpu_time_millis_testing: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.4805, kappa: 0.3365, kb_relative_information_score: 311.2416, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5186, predictive_accuracy: 0.4837, prior_entropy: 2.2629, recall: 0.4837, relative_absolute_error: 0.6987, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4051, root_relative_squared_error: 1.0238, scimark_benchmark: 1141.3975, usercpu_time_millis: 110, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, f_measure: 0.4363, kappa: 0.3763, kb_relative_information_score: 249.0013, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4406, predictive_accuracy: 0.5421, prior_entropy: 2.2629, recall: 0.5421, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.8771, scimark_benchmark: 1221.2288, usercpu_time_millis: 1330, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.3421, kappa: 0.2907, kb_relative_information_score: 228.187, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.2678, predictive_accuracy: 0.4851, prior_entropy: 2.2629, recall: 0.4851, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.8943, scimark_benchmark: 1025.132, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.4426, kappa: 0.371, kb_relative_information_score: 260.2541, mean_absolute_error: 0.2435, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4347, predictive_accuracy: 0.5353, prior_entropy: 2.2629, recall: 0.5353, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.8755, scimark_benchmark: 959.411, usercpu_time_millis: 1000, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5376, f_measure: 0.2195, kappa: 0.077, kb_relative_information_score: 138.8822, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.2079, predictive_accuracy: 0.3397, prior_entropy: 2.2629, recall: 0.3397, relative_absolute_error: 0.8432, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.2987, usercpu_time_millis: 5.442, usercpu_time_millis_testing: 0.419, usercpu_time_millis_training: 5.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5376, f_measure: 0.2195, kappa: 0.077, kb_relative_information_score: 138.8822, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.2079, predictive_accuracy: 0.3397, prior_entropy: 2.2629, recall: 0.3397, relative_absolute_error: 0.8432, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.2987, usercpu_time_millis: 6.768, usercpu_time_millis_testing: 0.482, usercpu_time_millis_training: 6.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.5112, kappa: 0.3863, kb_relative_information_score: 317.0288, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5442, predictive_accuracy: 0.5245, prior_entropy: 2.2629, recall: 0.5245, relative_absolute_error: 0.6073, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4361, root_relative_squared_error: 1.1021, usercpu_time_millis: 2.429, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 2.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.5199, kappa: 0.3837, kb_relative_information_score: 317.3619, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.525, predictive_accuracy: 0.5163, prior_entropy: 2.2629, recall: 0.5163, relative_absolute_error: 0.6177, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4399, root_relative_squared_error: 1.1116, usercpu_time_millis: 4.408, usercpu_time_millis_testing: 1.732, usercpu_time_millis_training: 2.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7335, f_measure: 0.5817, kappa: 0.4657, kb_relative_information_score: 371.5519, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5833, predictive_accuracy: 0.5842, prior_entropy: 2.2629, recall: 0.5842, relative_absolute_error: 0.5309, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4078, root_relative_squared_error: 1.0305, usercpu_time_millis: 0.382, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 0.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.6084, kappa: 0.5009, kb_relative_information_score: 393.2745, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6241, predictive_accuracy: 0.6155, prior_entropy: 2.2629, recall: 0.6155, relative_absolute_error: 0.491, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.9911, usercpu_time_millis: 3.126, usercpu_time_millis_testing: 1.264, usercpu_time_millis_training: 1.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7446, f_measure: 0.6047, kappa: 0.4928, kb_relative_information_score: 387.6973, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6219, predictive_accuracy: 0.6114, prior_entropy: 2.2629, recall: 0.6114, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.9963, usercpu_time_millis: 3.602, usercpu_time_millis_testing: 1.09, usercpu_time_millis_training: 2.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.6338, kappa: 0.54, kb_relative_information_score: 417.4767, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6383, predictive_accuracy: 0.6454, prior_entropy: 2.2629, recall: 0.6454, relative_absolute_error: 0.4529, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.9518, usercpu_time_millis: 23.257, usercpu_time_millis_testing: 0.617, usercpu_time_millis_training: 22.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, f_measure: 0.1368, kappa: 0.0044, kb_relative_information_score: 101.933, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.2615, predictive_accuracy: 0.2935, prior_entropy: 2.2629, recall: 0.2935, relative_absolute_error: 0.9022, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5316, root_relative_squared_error: 1.3434, usercpu_time_millis: 0.704, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.6503, kappa: 0.5656, kb_relative_information_score: 432.6386, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6698, predictive_accuracy: 0.6671, prior_entropy: 2.2629, recall: 0.6671, relative_absolute_error: 0.4251, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.9221, usercpu_time_millis: 0.927, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 0.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.5177, kappa: 0.3872, kb_relative_information_score: 316.9989, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6157, predictive_accuracy: 0.5204, prior_entropy: 2.2629, recall: 0.5204, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.438, root_relative_squared_error: 1.1069, usercpu_time_millis: 0.721, usercpu_time_millis_testing: 0.562, usercpu_time_millis_training: 0.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7765, f_measure: 0.6497, kappa: 0.5497, kb_relative_information_score: 427.7016, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6526, predictive_accuracy: 0.6481, prior_entropy: 2.2629, recall: 0.6481, relative_absolute_error: 0.4494, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.9481, usercpu_time_millis: 0.757, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 0.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.6417, kappa: 0.543, kb_relative_information_score: 421.8935, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6409, predictive_accuracy: 0.644, prior_entropy: 2.2629, recall: 0.644, relative_absolute_error: 0.4546, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.9536, usercpu_time_millis: 4.397, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 4.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, f_measure: 0.5898, kappa: 0.4685, kb_relative_information_score: 374.4882, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6211, predictive_accuracy: 0.5829, prior_entropy: 2.2629, recall: 0.5829, relative_absolute_error: 0.5327, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4085, root_relative_squared_error: 1.0322, usercpu_time_millis: 3.39, usercpu_time_millis_testing: 1.543, usercpu_time_millis_training: 1.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.5889, kappa: 0.4729, kb_relative_information_score: 374.8458, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5912, predictive_accuracy: 0.5897, prior_entropy: 2.2629, recall: 0.5897, relative_absolute_error: 0.524, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4051, root_relative_squared_error: 1.0238, usercpu_time_millis: 3.666, usercpu_time_millis_testing: 1.235, usercpu_time_millis_training: 2.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.6783, kappa: 0.5892, kb_relative_information_score: 452.1288, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6857, predictive_accuracy: 0.6821, prior_entropy: 2.2629, recall: 0.6821, relative_absolute_error: 0.406, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.9012, usercpu_time_millis: 4.998, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 4.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.6359, kappa: 0.5518, kb_relative_information_score: 422.3408, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6798, predictive_accuracy: 0.659, prior_entropy: 2.2629, recall: 0.659, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.9333, usercpu_time_millis: 2.089, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 1.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.6271, kappa: 0.5236, kb_relative_information_score: 408.7938, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6287, predictive_accuracy: 0.6291, prior_entropy: 2.2629, recall: 0.6291, relative_absolute_error: 0.4737, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.9734, usercpu_time_millis: 11.842, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 11.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.6774, kappa: 0.5892, kb_relative_information_score: 452.9279, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6851, predictive_accuracy: 0.6821, prior_entropy: 2.2629, recall: 0.6821, relative_absolute_error: 0.406, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.9012, usercpu_time_millis: 134.32, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 134.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.6165, kappa: 0.5061, kb_relative_information_score: 396.9627, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.63, predictive_accuracy: 0.6128, prior_entropy: 2.2629, recall: 0.6128, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.9946, usercpu_time_millis: 205.649, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 205.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7608, f_measure: 0.6253, kappa: 0.5228, kb_relative_information_score: 407.9103, mean_absolute_error: 0.1473, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6386, predictive_accuracy: 0.6318, prior_entropy: 2.2629, recall: 0.6318, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3838, root_relative_squared_error: 0.9698, usercpu_time_millis: 198.851, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 198.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7732, f_measure: 0.639, kappa: 0.5468, kb_relative_information_score: 422.1579, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6448, predictive_accuracy: 0.6508, prior_entropy: 2.2629, recall: 0.6508, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.9444, usercpu_time_millis: 289.632, usercpu_time_millis_testing: 0.505, usercpu_time_millis_training: 289.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.789, f_measure: 0.6704, kappa: 0.5789, kb_relative_information_score: 445.9601, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6771, predictive_accuracy: 0.6739, prior_entropy: 2.2629, recall: 0.6739, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9127, usercpu_time_millis: 334.933, usercpu_time_millis_testing: 17.627, usercpu_time_millis_training: 317.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.6639, kappa: 0.5749, kb_relative_information_score: 442.1479, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6772, predictive_accuracy: 0.6726, prior_entropy: 2.2629, recall: 0.6726, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9146, usercpu_time_millis: 5796.919, usercpu_time_millis_testing: 5796.903, usercpu_time_millis_training: 0.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.6857, kappa: 0.5965, kb_relative_information_score: 459.8999, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6891, predictive_accuracy: 0.6861, prior_entropy: 2.2629, recall: 0.6861, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.8954, usercpu_time_millis: 7360.369, usercpu_time_millis_testing: 6.863, usercpu_time_millis_training: 7353.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.5177, kappa: 0.3872, kb_relative_information_score: 327.8961, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6157, predictive_accuracy: 0.5204, prior_entropy: 2.2629, recall: 0.5204, relative_absolute_error: 0.6185, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.394, root_relative_squared_error: 0.9958, usercpu_time_millis: 0.889, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 0.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.131, kb_relative_information_score: 0.3581, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.0845, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3957, root_relative_squared_error: 1, scimark_benchmark: 1463.2258, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, f_measure: 0.5898, kappa: 0.4685, kb_relative_information_score: 374.4882, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6211, predictive_accuracy: 0.5829, prior_entropy: 2.2629, recall: 0.5829, relative_absolute_error: 0.5327, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4085, root_relative_squared_error: 1.0322, scimark_benchmark: 1474.6458, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.5798, kappa: 0.4642, kb_relative_information_score: 368.408, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5826, predictive_accuracy: 0.5842, prior_entropy: 2.2629, recall: 0.5842, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.9235, scimark_benchmark: 1669.1723, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, f_measure: 0.5147, kappa: 0.3815, kb_relative_information_score: 318.5186, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.517, predictive_accuracy: 0.5136, prior_entropy: 2.2629, recall: 0.5136, relative_absolute_error: 0.6252, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4328, root_relative_squared_error: 1.0937, scimark_benchmark: 1689.9681, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.6592, kappa: 0.5654, kb_relative_information_score: 427.2414, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6597, predictive_accuracy: 0.6617, prior_entropy: 2.2629, recall: 0.6617, relative_absolute_error: 0.5011, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.8041, scimark_benchmark: 1572.7159, usercpu_time_millis: 4740, usercpu_time_millis_training: 4740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.5595, kappa: 0.4351, kb_relative_information_score: 332.5668, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5621, predictive_accuracy: 0.5611, prior_entropy: 2.2629, recall: 0.5611, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.8268, scimark_benchmark: 1404.3835, usercpu_time_millis: 120, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, f_measure: 0.4051, kappa: 0.2595, kb_relative_information_score: 229.2984, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4043, predictive_accuracy: 0.4375, prior_entropy: 2.2629, recall: 0.4375, relative_absolute_error: 0.7817, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.9719, scimark_benchmark: 1486.8732, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.5572, kappa: 0.4282, kb_relative_information_score: 351.7632, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6339, predictive_accuracy: 0.553, prior_entropy: 2.2629, recall: 0.553, relative_absolute_error: 0.5878, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.9446, scimark_benchmark: 1633.2434, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.5806, kappa: 0.4649, kb_relative_information_score: 372.1222, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5807, predictive_accuracy: 0.5842, prior_entropy: 2.2629, recall: 0.5842, relative_absolute_error: 0.5642, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9107, scimark_benchmark: 1443.7714, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.5595, kappa: 0.4353, kb_relative_information_score: 332.4893, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5622, predictive_accuracy: 0.5611, prior_entropy: 2.2629, recall: 0.5611, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.8269, scimark_benchmark: 1423.2658, usercpu_time_millis: 100, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.6092, kappa: 0.5025, kb_relative_information_score: 386.0476, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6259, predictive_accuracy: 0.6168, prior_entropy: 2.2629, recall: 0.6168, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.8494, scimark_benchmark: 1607.5754, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.4051, kappa: 0.2595, kb_relative_information_score: 229.7403, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4043, predictive_accuracy: 0.4375, prior_entropy: 2.2629, recall: 0.4375, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.9714, scimark_benchmark: 1405.7961, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.131, kb_relative_information_score: 0.3581, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.0845, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3957, root_relative_squared_error: 1, scimark_benchmark: 1511.3796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, f_measure: 0.5147, kappa: 0.3815, kb_relative_information_score: 318.5186, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.517, predictive_accuracy: 0.5136, prior_entropy: 2.2629, recall: 0.5136, relative_absolute_error: 0.6252, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4328, root_relative_squared_error: 1.0937, scimark_benchmark: 1545.239, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, f_measure: 0.5147, kappa: 0.3815, kb_relative_information_score: 318.5186, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.517, predictive_accuracy: 0.5136, prior_entropy: 2.2629, recall: 0.5136, relative_absolute_error: 0.6252, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4328, root_relative_squared_error: 1.0937, scimark_benchmark: 1633.9073, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.4379, kappa: 0.2891, kb_relative_information_score: 259.8655, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4445, predictive_accuracy: 0.4552, prior_entropy: 2.2629, recall: 0.4552, relative_absolute_error: 0.7384, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.9713, scimark_benchmark: 1679.4608, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SPegasos: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SPegasos: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.5156, kappa: 0.3773, kb_relative_information_score: 313.2345, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5232, predictive_accuracy: 0.5109, prior_entropy: 2.2629, recall: 0.5109, relative_absolute_error: 0.6246, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4423, root_relative_squared_error: 1.1178, scimark_benchmark: 1585.7853, usercpu_time_millis: 180, usercpu_time_millis_testing: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.2018, kappa: 0.0918, kb_relative_information_score: 50.1316, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.3344, predictive_accuracy: 0.3003, prior_entropy: 2.2629, recall: 0.3003, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.9924, scimark_benchmark: 1552.2868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.6042, kappa: 0.497, kb_relative_information_score: 391.3688, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6043, predictive_accuracy: 0.6087, prior_entropy: 2.2629, recall: 0.6087, relative_absolute_error: 0.4997, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.9998, scimark_benchmark: 1311.2773, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5337, f_measure: 0.203, kappa: 0.0674, kb_relative_information_score: 114.3162, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.3154, predictive_accuracy: 0.2853, prior_entropy: 2.2629, recall: 0.2853, relative_absolute_error: 0.9127, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5347, root_relative_squared_error: 1.3511, scimark_benchmark: 1510.3573, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5337, f_measure: 0.203, kappa: 0.0674, kb_relative_information_score: 114.3162, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.3154, predictive_accuracy: 0.2853, prior_entropy: 2.2629, recall: 0.2853, relative_absolute_error: 0.9127, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5347, root_relative_squared_error: 1.3511, scimark_benchmark: 1493.4499, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.608, kappa: 0.5017, kb_relative_information_score: 396.157, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6062, predictive_accuracy: 0.6128, prior_entropy: 2.2629, recall: 0.6128, relative_absolute_error: 0.5213, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.9083, scimark_benchmark: 1572.2643, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.5778, kappa: 0.4601, kb_relative_information_score: 322.2103, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.603, predictive_accuracy: 0.5856, prior_entropy: 2.2629, recall: 0.5856, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.812, scimark_benchmark: 1429.5351, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7315, f_measure: 0.36, kappa: 0.3157, kb_relative_information_score: 224.1141, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.2867, predictive_accuracy: 0.5041, prior_entropy: 2.2629, recall: 0.5041, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.8995, scimark_benchmark: 1512.7942, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.614, kappa: 0.5082, kb_relative_information_score: 364.5583, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6423, predictive_accuracy: 0.6223, prior_entropy: 2.2629, recall: 0.6223, relative_absolute_error: 0.607, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.7981, scimark_benchmark: 1445.3256, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.trees.ADTree: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.3421, kappa: 0.2907, kb_relative_information_score: 228.187, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.2678, predictive_accuracy: 0.4851, prior_entropy: 2.2629, recall: 0.4851, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.8943, scimark_benchmark: 1641.6813, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.6352, kappa: 0.5347, kb_relative_information_score: 423.6675, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.634, predictive_accuracy: 0.6372, prior_entropy: 2.2629, recall: 0.6372, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.8949, scimark_benchmark: 1565.5338, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.4643, kappa: 0.3214, kb_relative_information_score: 121.814, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4637, predictive_accuracy: 0.4783, prior_entropy: 2.2629, recall: 0.4783, relative_absolute_error: 0.9206, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.371, root_relative_squared_error: 0.9375, scimark_benchmark: 1591.2997, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.4504, kappa: 0.3024, kb_relative_information_score: 263.065, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4479, predictive_accuracy: 0.462, prior_entropy: 2.2629, recall: 0.462, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.9364, scimark_benchmark: 1502.7649, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.624, kappa: 0.5215, kb_relative_information_score: 405.6352, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6236, predictive_accuracy: 0.6277, prior_entropy: 2.2629, recall: 0.6277, relative_absolute_error: 0.5577, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3064, root_relative_squared_error: 0.7744, scimark_benchmark: 1477.321, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.6476, kappa: 0.5553, kb_relative_information_score: 383.2823, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6546, predictive_accuracy: 0.6576, prior_entropy: 2.2629, recall: 0.6576, relative_absolute_error: 0.586, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3051, root_relative_squared_error: 0.7709, scimark_benchmark: 1386.918, usercpu_time_millis: 1390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.3634, kappa: 0.2313, kb_relative_information_score: 52.3225, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4285, predictive_accuracy: 0.4103, prior_entropy: 2.2629, recall: 0.4103, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.9901, scimark_benchmark: 1527.9224, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.5778, kappa: 0.4601, kb_relative_information_score: 322.2103, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.603, predictive_accuracy: 0.5856, prior_entropy: 2.2629, recall: 0.5856, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.812, scimark_benchmark: 1502.0709, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.5778, kappa: 0.4601, kb_relative_information_score: 322.2103, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.603, predictive_accuracy: 0.5856, prior_entropy: 2.2629, recall: 0.5856, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.812, scimark_benchmark: 1297.6267, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.5778, kappa: 0.4601, kb_relative_information_score: 322.2103, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.603, predictive_accuracy: 0.5856, prior_entropy: 2.2629, recall: 0.5856, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.812, scimark_benchmark: 1363.0805, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.5778, kappa: 0.4601, kb_relative_information_score: 322.2103, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.603, predictive_accuracy: 0.5856, prior_entropy: 2.2629, recall: 0.5856, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.812, scimark_benchmark: 1265.3118, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.5778, kappa: 0.4601, kb_relative_information_score: 322.2103, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.603, predictive_accuracy: 0.5856, prior_entropy: 2.2629, recall: 0.5856, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.812, scimark_benchmark: 1218.8029, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.5778, kappa: 0.4601, kb_relative_information_score: 322.2103, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.603, predictive_accuracy: 0.5856, prior_entropy: 2.2629, recall: 0.5856, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.812, scimark_benchmark: 1284.4102, usercpu_time_millis: 80, usercpu_time_millis_training: 80,

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

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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

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