Task
Supervised Classification on balance-scale

Supervised Classification on balance-scale

Task 11 Supervised Classification balance-scale 24833 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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24833 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.7167, kappa: 0.5312, kb_relative_information_score: 157.6393, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6887, predictive_accuracy: 0.7472, prior_entropy: 1.3212, recall: 0.7472, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.8188, scimark_benchmark: 918.6262,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.3939, kappa: -0.0059, kb_relative_information_score: 0.0472, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.4196, predictive_accuracy: 0.4576, prior_entropy: 1.3212, recall: 0.4576, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4356, root_relative_squared_error: 1, scimark_benchmark: 1913.8221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.7523, kappa: 0.5816, kb_relative_information_score: 311.6665, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7392, predictive_accuracy: 0.768, prior_entropy: 1.3212, recall: 0.768, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.8354, scimark_benchmark: 1913.8221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, f_measure: 0.6138, kappa: 0.3323, kb_relative_information_score: 126.0677, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.5902, predictive_accuracy: 0.64, prior_entropy: 1.3212, recall: 0.64, relative_absolute_error: 0.8546, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.8964, scimark_benchmark: 946.8258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.8508, kappa: 0.7841, kb_relative_information_score: 455.3938, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8426, predictive_accuracy: 0.8832, prior_entropy: 1.3212, recall: 0.8832, relative_absolute_error: 0.2805, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.5335, scimark_benchmark: 595.9276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.597, kappa: 0.2997, kb_relative_information_score: 109.9001, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.5737, predictive_accuracy: 0.6224, prior_entropy: 1.3212, recall: 0.6224, relative_absolute_error: 0.852, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.9615, scimark_benchmark: 916.4225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.768, kappa: 0.5589, kb_relative_information_score: 307.2975, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8032, predictive_accuracy: 0.736, prior_entropy: 1.3212, recall: 0.736, relative_absolute_error: 0.4635, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.9628, scimark_benchmark: 946.3696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.8532, kappa: 0.7756, kb_relative_information_score: 358.5452, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8342, predictive_accuracy: 0.8768, prior_entropy: 1.3212, recall: 0.8768, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.6367, scimark_benchmark: 949.5473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9071, kappa: 0.8391, kb_relative_information_score: 511.1615, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9057, predictive_accuracy: 0.9088, prior_entropy: 1.3212, recall: 0.9088, relative_absolute_error: 0.202, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.4426, scimark_benchmark: 928.7873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.8607, kappa: 0.7639, kb_relative_information_score: 447.7734, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8549, predictive_accuracy: 0.8672, prior_entropy: 1.3212, recall: 0.8672, relative_absolute_error: 0.2899, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.5435, scimark_benchmark: 634.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.774, kappa: 0.5811, kb_relative_information_score: 325.4525, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7961, predictive_accuracy: 0.7536, prior_entropy: 1.3212, recall: 0.7536, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.9216, scimark_benchmark: 903.4948,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.7627, kappa: 0.6202, kb_relative_information_score: 143.1578, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.733, predictive_accuracy: 0.7952, prior_entropy: 1.3212, recall: 0.7952, relative_absolute_error: 0.7987, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.8267, scimark_benchmark: 936.6025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6602, f_measure: 0.6078, kappa: 0.3205, kb_relative_information_score: 209.9797, mean_absolute_error: 0.2443, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.584, predictive_accuracy: 0.6336, prior_entropy: 1.3212, recall: 0.6336, relative_absolute_error: 0.6432, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4942, root_relative_squared_error: 1.1347, scimark_benchmark: 914.4733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9015, kappa: 0.8207, kb_relative_information_score: 486.0961, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9096, predictive_accuracy: 0.896, prior_entropy: 1.3212, recall: 0.896, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.4801, scimark_benchmark: 894.0297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.8426, kappa: 0.7745, kb_relative_information_score: 354.0743, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8095, predictive_accuracy: 0.8784, prior_entropy: 1.3212, recall: 0.8784, relative_absolute_error: 0.4389, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5855, scimark_benchmark: 938.9893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.6967, kappa: 0.4926, kb_relative_information_score: 226.4828, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6695, predictive_accuracy: 0.7264, prior_entropy: 1.3212, recall: 0.7264, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.7467, scimark_benchmark: 911.4078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.6108, kappa: 0.3264, kb_relative_information_score: 120.1772, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.5868, predictive_accuracy: 0.6368, prior_entropy: 1.3212, recall: 0.6368, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.9176, scimark_benchmark: 940.7937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.7337, kappa: 0.5638, kb_relative_information_score: 144.5122, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7063, predictive_accuracy: 0.7648, prior_entropy: 1.3212, recall: 0.7648, relative_absolute_error: 0.7964, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.8298, scimark_benchmark: 947.8258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.7711, kappa: 0.5674, kb_relative_information_score: 314.0482, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8031, predictive_accuracy: 0.7424, prior_entropy: 1.3212, recall: 0.7424, relative_absolute_error: 0.451, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.9479, scimark_benchmark: 927.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8721, kappa: 0.807, kb_relative_information_score: 459.3971, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8644, predictive_accuracy: 0.8944, prior_entropy: 1.3212, recall: 0.8944, relative_absolute_error: 0.2022, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.5545, scimark_benchmark: 1336.3426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.7761, kappa: 0.5838, kb_relative_information_score: 328.3099, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7982, predictive_accuracy: 0.7552, prior_entropy: 1.3212, recall: 0.7552, relative_absolute_error: 0.4238, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.9111, scimark_benchmark: 932.1685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8602, kappa: 0.7636, kb_relative_information_score: 445.4301, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8539, predictive_accuracy: 0.8672, prior_entropy: 1.3212, recall: 0.8672, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.5451, scimark_benchmark: 576.6381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.8642, kappa: 0.816, kb_relative_information_score: 291.9719, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8308, predictive_accuracy: 0.9008, prior_entropy: 1.3212, recall: 0.9008, relative_absolute_error: 0.5636, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.28, root_relative_squared_error: 0.6429, scimark_benchmark: 947.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.8545, kappa: 0.7482, kb_relative_information_score: 434.2016, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8516, predictive_accuracy: 0.8576, prior_entropy: 1.3212, recall: 0.8576, relative_absolute_error: 0.2972, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.5886, scimark_benchmark: 947.4394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.7883, kappa: 0.6089, kb_relative_information_score: 344.4471, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8065, predictive_accuracy: 0.7712, prior_entropy: 1.3212, recall: 0.7712, relative_absolute_error: 0.4004, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.8652, scimark_benchmark: 945.8478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9278, kappa: 0.8734, kb_relative_information_score: 534.434, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9276, predictive_accuracy: 0.928, prior_entropy: 1.3212, recall: 0.928, relative_absolute_error: 0.1312, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4616, scimark_benchmark: 941.8262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.3939, kappa: -0.0059, kb_relative_information_score: 0.0472, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.4196, predictive_accuracy: 0.4576, prior_entropy: 1.3212, recall: 0.4576, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4356, root_relative_squared_error: 1, scimark_benchmark: 944.0427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8029, kappa: 0.6368, kb_relative_information_score: 357.7075, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8181, predictive_accuracy: 0.7888, prior_entropy: 1.3212, recall: 0.7888, relative_absolute_error: 0.3702, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.8557, scimark_benchmark: 930.2041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.8489, kappa: 0.7768, kb_relative_information_score: 446.9065, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8214, predictive_accuracy: 0.8784, prior_entropy: 1.3212, recall: 0.8784, relative_absolute_error: 0.2156, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.5848, scimark_benchmark: 897.1953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.838, kappa: 0.7656, kb_relative_information_score: 345.5404, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8051, predictive_accuracy: 0.8736, prior_entropy: 1.3212, recall: 0.8736, relative_absolute_error: 0.4484, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.263, root_relative_squared_error: 0.6039, scimark_benchmark: 925.9136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.6918, kappa: 0.4837, kb_relative_information_score: 155.6026, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6657, predictive_accuracy: 0.7216, prior_entropy: 1.3212, recall: 0.7216, relative_absolute_error: 0.8184, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.8239, scimark_benchmark: 903.7635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9123, kappa: 0.8416, kb_relative_information_score: 498.9362, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9173, predictive_accuracy: 0.9088, prior_entropy: 1.3212, recall: 0.9088, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4708, scimark_benchmark: 933.1608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.8532, kappa: 0.7756, kb_relative_information_score: 358.5452, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8342, predictive_accuracy: 0.8768, prior_entropy: 1.3212, recall: 0.8768, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.6367, scimark_benchmark: 938.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.783, kappa: 0.631, kb_relative_information_score: 344.4345, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7748, predictive_accuracy: 0.7936, prior_entropy: 1.3212, recall: 0.7936, relative_absolute_error: 0.4349, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.7792, scimark_benchmark: 929.1566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.7059, kappa: 0.5104, kb_relative_information_score: 211.9349, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6813, predictive_accuracy: 0.736, prior_entropy: 1.3212, recall: 0.736, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.8268, scimark_benchmark: 933.4271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.763, kappa: 0.6156, kb_relative_information_score: 264.6871, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7581, predictive_accuracy: 0.792, prior_entropy: 1.3212, recall: 0.792, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.304, root_relative_squared_error: 0.6979, scimark_benchmark: 971.5403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8303, kappa: 0.7507, kb_relative_information_score: 210.1881, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7978, predictive_accuracy: 0.8656, prior_entropy: 1.3212, recall: 0.8656, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.7488, scimark_benchmark: 910.3064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.8532, kappa: 0.7756, kb_relative_information_score: 358.5452, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8342, predictive_accuracy: 0.8768, prior_entropy: 1.3212, recall: 0.8768, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.6367, scimark_benchmark: 942.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.8532, kappa: 0.7756, kb_relative_information_score: 358.5452, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8342, predictive_accuracy: 0.8768, prior_entropy: 1.3212, recall: 0.8768, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.6367, scimark_benchmark: 928.1885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9071, kappa: 0.8391, kb_relative_information_score: 511.1615, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9057, predictive_accuracy: 0.9088, prior_entropy: 1.3212, recall: 0.9088, relative_absolute_error: 0.202, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.4426, scimark_benchmark: 943.5142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.7167, kappa: 0.5312, kb_relative_information_score: 157.6393, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6887, predictive_accuracy: 0.7472, prior_entropy: 1.3212, recall: 0.7472, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.8188, scimark_benchmark: 937.4471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.1378, kappa: 0.0486, kb_relative_information_score: -54.2208, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9282, predictive_accuracy: 0.1488, prior_entropy: 1.3212, recall: 0.1488, relative_absolute_error: 1.1837, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.487, root_relative_squared_error: 1.1181, scimark_benchmark: 941.8072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.6108, kappa: 0.3264, kb_relative_information_score: 120.1772, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.5868, predictive_accuracy: 0.6368, prior_entropy: 1.3212, recall: 0.6368, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.9176, scimark_benchmark: 943.5404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.7841, kappa: 0.5955, kb_relative_information_score: 330.422, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8081, predictive_accuracy: 0.7616, prior_entropy: 1.3212, recall: 0.7616, relative_absolute_error: 0.4212, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.9103, scimark_benchmark: 899.0099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.6108, kappa: 0.3264, kb_relative_information_score: 120.1772, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.5868, predictive_accuracy: 0.6368, prior_entropy: 1.3212, recall: 0.6368, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.9176, scimark_benchmark: 940.1199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.824, kappa: 0.6908, kb_relative_information_score: 384.5811, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.824, predictive_accuracy: 0.824, prior_entropy: 1.3212, recall: 0.824, relative_absolute_error: 0.3502, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.6574, scimark_benchmark: 937.7905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.824, kappa: 0.6908, kb_relative_information_score: 384.5811, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.824, predictive_accuracy: 0.824, prior_entropy: 1.3212, recall: 0.824, relative_absolute_error: 0.3502, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.6574, scimark_benchmark: 923.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7961, kappa: 0.6222, kb_relative_information_score: 349.6968, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8139, predictive_accuracy: 0.7792, prior_entropy: 1.3212, recall: 0.7792, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.8808, scimark_benchmark: 937.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.8394, kappa: 0.7317, kb_relative_information_score: 356.1495, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8295, predictive_accuracy: 0.8496, prior_entropy: 1.3212, recall: 0.8496, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.624, scimark_benchmark: 944.5811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.6967, kappa: 0.4926, kb_relative_information_score: 226.4828, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6695, predictive_accuracy: 0.7264, prior_entropy: 1.3212, recall: 0.7264, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.7467, scimark_benchmark: 946.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, f_measure: 0.6138, kappa: 0.3323, kb_relative_information_score: 126.0677, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.5902, predictive_accuracy: 0.64, prior_entropy: 1.3212, recall: 0.64, relative_absolute_error: 0.8546, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.8964, scimark_benchmark: 917.6651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9146, kappa: 0.8487, kb_relative_information_score: 516.0984, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9158, predictive_accuracy: 0.9136, prior_entropy: 1.3212, recall: 0.9136, relative_absolute_error: 0.1673, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4738, scimark_benchmark: 943.268,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.8303, kappa: 0.7507, kb_relative_information_score: 398.3784, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7978, predictive_accuracy: 0.8656, prior_entropy: 1.3212, recall: 0.8656, relative_absolute_error: 0.3231, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.5658, scimark_benchmark: 944.6034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.8319, kappa: 0.7537, kb_relative_information_score: 210.0204, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7994, predictive_accuracy: 0.8672, prior_entropy: 1.3212, recall: 0.8672, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.7497, scimark_benchmark: 947.0614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7734, kappa: 0.5774, kb_relative_information_score: 322.6775, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7984, predictive_accuracy: 0.7504, prior_entropy: 1.3212, recall: 0.7504, relative_absolute_error: 0.4375, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.9315, scimark_benchmark: 948.1844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.8181, kappa: 0.6697, kb_relative_information_score: 358.8674, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.827, predictive_accuracy: 0.8096, prior_entropy: 1.3212, recall: 0.8096, relative_absolute_error: 0.3883, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.6547, scimark_benchmark: 934.0148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7378, kappa: 0.5672, kb_relative_information_score: 290.2736, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7137, predictive_accuracy: 0.7648, prior_entropy: 1.3212, recall: 0.7648, relative_absolute_error: 0.5372, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.361, root_relative_squared_error: 0.8288, scimark_benchmark: 921.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9349, kappa: 0.8914, kb_relative_information_score: 496.4294, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9342, predictive_accuracy: 0.9392, prior_entropy: 1.3212, recall: 0.9392, relative_absolute_error: 0.2291, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.425, scimark_benchmark: 922.9723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.8532, kappa: 0.7756, kb_relative_information_score: 358.5452, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8342, predictive_accuracy: 0.8768, prior_entropy: 1.3212, recall: 0.8768, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.6367, scimark_benchmark: 920.9223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8303, kappa: 0.7507, kb_relative_information_score: 214.6078, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7978, predictive_accuracy: 0.8656, prior_entropy: 1.3212, recall: 0.8656, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.7339, scimark_benchmark: 944.9853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8027, kappa: 0.6973, kb_relative_information_score: 158.2003, mean_absolute_error: 0.2946, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7719, predictive_accuracy: 0.8368, prior_entropy: 1.3212, recall: 0.8368, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.8077, scimark_benchmark: 946.4727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.83, kappa: 0.746, kb_relative_information_score: 325.9828, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7999, predictive_accuracy: 0.8624, prior_entropy: 1.3212, recall: 0.8624, relative_absolute_error: 0.474, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.6255, scimark_benchmark: 909.3265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8477, kappa: 0.7812, kb_relative_information_score: 212.8044, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8164, predictive_accuracy: 0.8816, prior_entropy: 1.3212, recall: 0.8816, relative_absolute_error: 0.7003, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.788, scimark_benchmark: 943.4202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.7333, kappa: 0.5638, kb_relative_information_score: 166.4339, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7067, predictive_accuracy: 0.7648, prior_entropy: 1.3212, recall: 0.7648, relative_absolute_error: 0.7687, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.8705, scimark_benchmark: 949.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8518, kappa: 0.7923, kb_relative_information_score: 215.3453, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8184, predictive_accuracy: 0.888, prior_entropy: 1.3212, recall: 0.888, relative_absolute_error: 0.6966, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.7832, scimark_benchmark: 909.1625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8565, kappa: 0.8012, kb_relative_information_score: 217.2509, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8234, predictive_accuracy: 0.8928, prior_entropy: 1.3212, recall: 0.8928, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.7796, scimark_benchmark: 947.8751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.7056, kappa: 0.5104, kb_relative_information_score: 253.0298, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6797, predictive_accuracy: 0.736, prior_entropy: 1.3212, recall: 0.736, relative_absolute_error: 0.6076, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.8498, scimark_benchmark: 946.0945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8595, kappa: 0.8071, kb_relative_information_score: 218.5213, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8262, predictive_accuracy: 0.896, prior_entropy: 1.3212, recall: 0.896, relative_absolute_error: 0.6919, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.7772, scimark_benchmark: 946.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9163, kappa: 0.8497, kb_relative_information_score: 500.1387, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9204, predictive_accuracy: 0.9136, prior_entropy: 1.3212, recall: 0.9136, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.205, root_relative_squared_error: 0.4707, scimark_benchmark: 901.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.6873, kappa: 0.4748, kb_relative_information_score: 240.9973, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6619, predictive_accuracy: 0.7168, prior_entropy: 1.3212, recall: 0.7168, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.8504, scimark_benchmark: 926.7625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8944, kappa: 0.8393, kb_relative_information_score: 242.189, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9007, predictive_accuracy: 0.912, prior_entropy: 1.3212, recall: 0.912, relative_absolute_error: 0.6741, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.754, scimark_benchmark: 942.5747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.8671, kappa: 0.822, kb_relative_information_score: 221.6974, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8331, predictive_accuracy: 0.904, prior_entropy: 1.3212, recall: 0.904, relative_absolute_error: 0.6872, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.7712, scimark_benchmark: 947.5527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8649, kappa: 0.8162, kb_relative_information_score: 393.5856, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8319, predictive_accuracy: 0.9008, prior_entropy: 1.3212, recall: 0.9008, relative_absolute_error: 0.394, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.554, scimark_benchmark: 944.0275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.6918, kappa: 0.4837, kb_relative_information_score: 155.6026, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6657, predictive_accuracy: 0.7216, prior_entropy: 1.3212, recall: 0.7216, relative_absolute_error: 0.8184, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.8239, scimark_benchmark: 946.8088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.8604, kappa: 0.8048, kb_relative_information_score: 383.5241, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8302, predictive_accuracy: 0.8944, prior_entropy: 1.3212, recall: 0.8944, relative_absolute_error: 0.391, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.5799, scimark_benchmark: 946.0262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8569, kappa: 0.8012, kb_relative_information_score: 217.2509, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8252, predictive_accuracy: 0.8928, prior_entropy: 1.3212, recall: 0.8928, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.7796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8566, kappa: 0.8012, kb_relative_information_score: 217.2509, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8237, predictive_accuracy: 0.8928, prior_entropy: 1.3212, recall: 0.8928, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.7796, scimark_benchmark: 945.9976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.8223, kappa: 0.7312, kb_relative_information_score: 325.8517, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7925, predictive_accuracy: 0.8544, prior_entropy: 1.3212, recall: 0.8544, relative_absolute_error: 0.4745, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8579, kappa: 0.8042, kb_relative_information_score: 314.891, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8243, predictive_accuracy: 0.8944, prior_entropy: 1.3212, recall: 0.8944, relative_absolute_error: 0.4844, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.626, scimark_benchmark: 921.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8586, kappa: 0.8044, kb_relative_information_score: 217.8861, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8256, predictive_accuracy: 0.8944, prior_entropy: 1.3212, recall: 0.8944, relative_absolute_error: 0.6928, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.7784, scimark_benchmark: 910.4058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7939, kappa: 0.6337, kb_relative_information_score: 343.6767, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7993, predictive_accuracy: 0.7904, prior_entropy: 1.3212, recall: 0.7904, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.793, scimark_benchmark: 946.0244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7287, kappa: 0.5529, kb_relative_information_score: 213.9688, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7014, predictive_accuracy: 0.7584, prior_entropy: 1.3212, recall: 0.7584, relative_absolute_error: 0.693, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3553, root_relative_squared_error: 0.8157, scimark_benchmark: 947.0607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.748, kappa: 0.591, kb_relative_information_score: 293.6329, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7195, predictive_accuracy: 0.7792, prior_entropy: 1.3212, recall: 0.7792, relative_absolute_error: 0.5341, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.8028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.8575, kappa: 0.789, kb_relative_information_score: 367.4841, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.835, predictive_accuracy: 0.8848, prior_entropy: 1.3212, recall: 0.8848, relative_absolute_error: 0.3752, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.6201, scimark_benchmark: 924.6853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.745, kappa: 0.578, kb_relative_information_score: 311.4835, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7229, predictive_accuracy: 0.7696, prior_entropy: 1.3212, recall: 0.7696, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.8028, scimark_benchmark: 909.8352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8532, kappa: 0.7756, kb_relative_information_score: 358.5486, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8342, predictive_accuracy: 0.8768, prior_entropy: 1.3212, recall: 0.8768, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.6367, scimark_benchmark: 947.9675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8649, kappa: 0.8162, kb_relative_information_score: 391.5942, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8319, predictive_accuracy: 0.9008, prior_entropy: 1.3212, recall: 0.9008, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.5561, scimark_benchmark: 920.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.7951, kappa: 0.6825, kb_relative_information_score: 191.8424, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.765, predictive_accuracy: 0.8288, prior_entropy: 1.3212, recall: 0.8288, relative_absolute_error: 0.7312, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.8263, scimark_benchmark: 947.5653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.728, kappa: 0.5524, kb_relative_information_score: 271.8352, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7002, predictive_accuracy: 0.7584, prior_entropy: 1.3212, recall: 0.7584, relative_absolute_error: 0.5695, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.8274, scimark_benchmark: 922.4489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.881, kappa: 0.8487, kb_relative_information_score: 415.113, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8466, predictive_accuracy: 0.9184, prior_entropy: 1.3212, recall: 0.9184, relative_absolute_error: 0.3362, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.5066, scimark_benchmark: 946.1691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.8693, kappa: 0.7944, kb_relative_information_score: 426.6741, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8569, predictive_accuracy: 0.8864, prior_entropy: 1.3212, recall: 0.8864, relative_absolute_error: 0.3122, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5406, scimark_benchmark: 948.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.7944, kappa: 0.6309, kb_relative_information_score: 361.2996, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8033, predictive_accuracy: 0.7872, prior_entropy: 1.3212, recall: 0.7872, relative_absolute_error: 0.3736, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.8647, scimark_benchmark: 911.3951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.6918, kappa: 0.4837, kb_relative_information_score: 155.6026, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6657, predictive_accuracy: 0.7216, prior_entropy: 1.3212, recall: 0.7216, relative_absolute_error: 0.8184, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.8239, scimark_benchmark: 907.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.8226, kappa: 0.7359, kb_relative_information_score: 191.631, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7904, predictive_accuracy: 0.8576, prior_entropy: 1.3212, recall: 0.8576, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.7683, scimark_benchmark: 917.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.8693, kappa: 0.7944, kb_relative_information_score: 426.6741, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8569, predictive_accuracy: 0.8864, prior_entropy: 1.3212, recall: 0.8864, relative_absolute_error: 0.3122, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5406, scimark_benchmark: 946.6765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6202, f_measure: 0.5656, kappa: 0.2404, kb_relative_information_score: 97.1958, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.5468, predictive_accuracy: 0.5904, prior_entropy: 1.3212, recall: 0.5904, relative_absolute_error: 0.8707, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.9808,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs