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Function: require_once

OpenML
Task
Supervised Classification on haberman

Supervised Classification on haberman

Task 42 Supervised Classification haberman 973 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • basic ComplexWorkflows mythbusting mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_29 study_30 study_41 study_50 study_7 under100k under1m
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973 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6463, f_measure: 0.6809, kappa: 0.1298, kb_relative_information_score: 14.2379, mean_absolute_error: 0.3563, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6779, predictive_accuracy: 0.7255, prior_entropy: 0.836, recall: 0.7255, relative_absolute_error: 0.9136, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.989, scimark_benchmark: 937.6951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.7093, kappa: 0.22, kb_relative_information_score: 34.7441, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7023, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.8377, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.9918,
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: 0.6924, f_measure: 0.7162, kappa: 0.2286, kb_relative_information_score: 32.9364, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7178, predictive_accuracy: 0.7484, prior_entropy: 0.836, recall: 0.7484, relative_absolute_error: 0.8633, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.954, scimark_benchmark: 944.7717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5074, f_measure: 0.6364, kappa: 0.0208, kb_relative_information_score: 71.2909, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6421, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.6955, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.1805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.6829, kappa: 0.1352, kb_relative_information_score: 19.3657, mean_absolute_error: 0.3573, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.701, predictive_accuracy: 0.7418, prior_entropy: 0.836, recall: 0.7418, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.967, scimark_benchmark: 947.4154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4889, f_measure: 0.6231, kb_relative_information_score: 0.5009, mean_absolute_error: 0.3893, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4412, root_relative_squared_error: 1, scimark_benchmark: 939.2237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.6624, kappa: 0.079, kb_relative_information_score: 26.4796, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6605, predictive_accuracy: 0.7222, prior_entropy: 0.836, recall: 0.7222, relative_absolute_error: 0.8478, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4564, root_relative_squared_error: 1.0344, scimark_benchmark: 922.6409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, f_measure: 0.7338, kappa: 0.2825, kb_relative_information_score: 32.4839, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7313, predictive_accuracy: 0.7549, prior_entropy: 0.836, recall: 0.7549, relative_absolute_error: 0.8647, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.422, root_relative_squared_error: 0.9564, scimark_benchmark: 947.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6049, f_measure: 0.7013, kappa: 0.1856, kb_relative_information_score: 16.4967, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7051, predictive_accuracy: 0.7418, prior_entropy: 0.836, recall: 0.7418, relative_absolute_error: 0.9429, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9759, scimark_benchmark: 922.2481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.6829, kappa: 0.1352, kb_relative_information_score: 19.3657, mean_absolute_error: 0.3573, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.701, predictive_accuracy: 0.7418, prior_entropy: 0.836, recall: 0.7418, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.967, scimark_benchmark: 940.0197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.654, f_measure: 0.7459, kappa: 0.32, kb_relative_information_score: 26.5097, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7424, predictive_accuracy: 0.7614, prior_entropy: 0.836, recall: 0.7614, relative_absolute_error: 0.88, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.9628, scimark_benchmark: 921.7022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, f_measure: 0.6862, kappa: 0.1443, kb_relative_information_score: 12.9112, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6841, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.9105, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.983, scimark_benchmark: 943.6444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6425, f_measure: 0.6471, kappa: 0.0933, kb_relative_information_score: 4.0567, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6471, predictive_accuracy: 0.6471, prior_entropy: 0.836, recall: 0.6471, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4907, root_relative_squared_error: 1.1123, scimark_benchmark: 920.0858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6483, f_measure: 0.6803, kappa: 0.1274, kb_relative_information_score: 11.9225, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6803, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.9147, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.9827, scimark_benchmark: 948.8095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.6507, kappa: 0.0958, kb_relative_information_score: 7.4127, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6481, predictive_accuracy: 0.6536, prior_entropy: 0.836, recall: 0.6536, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4777, root_relative_squared_error: 1.0828, scimark_benchmark: 925.0158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, f_measure: 0.7112, kappa: 0.216, kb_relative_information_score: 82.5628, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7096, predictive_accuracy: 0.7418, prior_entropy: 0.836, recall: 0.7418, relative_absolute_error: 0.662, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5081, root_relative_squared_error: 1.1517, scimark_benchmark: 930.9575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5215, f_measure: 0.6527, kappa: 0.0587, kb_relative_information_score: 74.1089, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6693, predictive_accuracy: 0.732, prior_entropy: 0.836, recall: 0.732, relative_absolute_error: 0.6871, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.1734, scimark_benchmark: 884.4211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.6215, kappa: -0.0065, kb_relative_information_score: 74.1089, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.54, predictive_accuracy: 0.732, prior_entropy: 0.836, recall: 0.732, relative_absolute_error: 0.6871, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.1734, scimark_benchmark: 946.7064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6231, kb_relative_information_score: 76.9269, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.6787, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.1662, scimark_benchmark: 947.4993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.517, f_measure: 0.6487, kappa: 0.0461, kb_relative_information_score: 68.473, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6517, predictive_accuracy: 0.7255, prior_entropy: 0.836, recall: 0.7255, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5239, root_relative_squared_error: 1.1876, scimark_benchmark: 946.6232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6231, kb_relative_information_score: 76.9269, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.6787, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.1662, scimark_benchmark: 947.3213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4889, f_measure: 0.6231, kb_relative_information_score: -0.3553, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4412, root_relative_squared_error: 1.0001, scimark_benchmark: 922.5948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5627, f_measure: 0.6814, kappa: 0.1321, kb_relative_information_score: 6.697, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6759, predictive_accuracy: 0.7222, prior_entropy: 0.836, recall: 0.7222, relative_absolute_error: 0.956, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4414, root_relative_squared_error: 1.0005, scimark_benchmark: 945.5248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6231, kb_relative_information_score: 76.9269, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.6787, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.1662, scimark_benchmark: 936.4356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.7188, kappa: 0.2325, kb_relative_information_score: 42.3481, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7378, predictive_accuracy: 0.7614, prior_entropy: 0.836, recall: 0.7614, relative_absolute_error: 0.8457, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.9873, scimark_benchmark: 949.4493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5351, f_measure: 0.6668, kappa: 0.0914, kb_relative_information_score: 71.2909, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6718, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.6955, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.1805, scimark_benchmark: 916.8779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.7114, kappa: 0.2489, kb_relative_information_score: 17.8573, mean_absolute_error: 0.3583, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.708, predictive_accuracy: 0.7157, prior_entropy: 0.836, recall: 0.7157, relative_absolute_error: 0.9188, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.9755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6445, f_measure: 0.6476, kappa: 0.0811, kb_relative_information_score: 4.4939, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6424, predictive_accuracy: 0.6536, prior_entropy: 0.836, recall: 0.6536, relative_absolute_error: 0.8794, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4936, root_relative_squared_error: 1.1187, scimark_benchmark: 946.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.536, f_measure: 0.6675, kappa: 0.0981, kb_relative_information_score: 82.5628, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7027, predictive_accuracy: 0.7418, prior_entropy: 0.836, recall: 0.7418, relative_absolute_error: 0.662, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5081, root_relative_squared_error: 1.1517, scimark_benchmark: 909.6774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6329, f_measure: 0.7125, kappa: 0.2251, kb_relative_information_score: 25.1989, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7068, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.8717, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.9986, scimark_benchmark: 921.7321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6851, f_measure: 0.6438, kappa: 0.0468, kb_relative_information_score: 12.1339, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7439, predictive_accuracy: 0.7418, prior_entropy: 0.836, recall: 0.7418, relative_absolute_error: 0.948, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.9621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5993, f_measure: 0.7156, kappa: 0.2304, kb_relative_information_score: 82.5628, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7122, predictive_accuracy: 0.7418, prior_entropy: 0.836, recall: 0.7418, relative_absolute_error: 0.662, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5081, root_relative_squared_error: 1.1517, scimark_benchmark: 946.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6571, f_measure: 0.7176, kappa: 0.2374, kb_relative_information_score: 26.6732, mean_absolute_error: 0.3401, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7136, predictive_accuracy: 0.7418, prior_entropy: 0.836, recall: 0.7418, relative_absolute_error: 0.8721, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9841, scimark_benchmark: 920.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6205, f_measure: 0.6947, kappa: 0.1839, kb_relative_information_score: 18.7353, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.686, predictive_accuracy: 0.7124, prior_entropy: 0.836, recall: 0.7124, relative_absolute_error: 0.881, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4721, root_relative_squared_error: 1.0702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6107, f_measure: 0.7009, kappa: 0.2036, kb_relative_information_score: 18.7425, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.693, predictive_accuracy: 0.7157, prior_entropy: 0.836, recall: 0.7157, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4853, root_relative_squared_error: 1.1, scimark_benchmark: 940.2254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5825, f_measure: 0.7012, kappa: 0.1914, kb_relative_information_score: 71.2909, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.695, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.6955, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.1805, scimark_benchmark: 942.0435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6231, kb_relative_information_score: 76.9269, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.6787, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.1662,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6059, f_measure: 0.7032, kappa: 0.218, kb_relative_information_score: 14.9273, mean_absolute_error: 0.3608, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6969, predictive_accuracy: 0.7124, prior_entropy: 0.836, recall: 0.7124, relative_absolute_error: 0.9252, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.9808, scimark_benchmark: 943.5535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5299, f_measure: 0.6612, kappa: 0.0817, kb_relative_information_score: 79.7448, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6921, predictive_accuracy: 0.7386, prior_entropy: 0.836, recall: 0.7386, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5113, root_relative_squared_error: 1.159, scimark_benchmark: 910.1514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, f_measure: 0.6756, kappa: 0.1151, kb_relative_information_score: 19.3825, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6713, predictive_accuracy: 0.7222, prior_entropy: 0.836, recall: 0.7222, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.435, root_relative_squared_error: 0.986, scimark_benchmark: 910.5098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6486, f_measure: 0.6779, kappa: 0.1212, kb_relative_information_score: 13.6552, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6757, predictive_accuracy: 0.7255, prior_entropy: 0.836, recall: 0.7255, relative_absolute_error: 0.9112, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.9803, scimark_benchmark: 908.0199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5627, f_measure: 0.6889, kappa: 0.1526, kb_relative_information_score: 71.2909, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.686, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.6955, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.1805, scimark_benchmark: 944.2557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.6974, kappa: 0.1741, kb_relative_information_score: 25.6337, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7147, predictive_accuracy: 0.7484, prior_entropy: 0.836, recall: 0.7484, relative_absolute_error: 0.8937, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.9646, scimark_benchmark: 946.6832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5876, f_measure: 0.6868, kappa: 0.1485, kb_relative_information_score: 8.495, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6803, predictive_accuracy: 0.7222, prior_entropy: 0.836, recall: 0.7222, relative_absolute_error: 0.9588, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9904, scimark_benchmark: 948.1886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6281, f_measure: 0.6633, kappa: 0.0851, kb_relative_information_score: 14.3059, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6826, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4431, root_relative_squared_error: 1.0043, scimark_benchmark: 924.5731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6682, f_measure: 0.7144, kappa: 0.232, kb_relative_information_score: 30.8348, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7084, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.8644, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.969, scimark_benchmark: 917.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5505, f_measure: 0.6652, kappa: 0.0883, kb_relative_information_score: 6.818, mean_absolute_error: 0.3791, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6762, predictive_accuracy: 0.732, prior_entropy: 0.836, recall: 0.732, relative_absolute_error: 0.9719, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9945, scimark_benchmark: 939.0388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6231, kb_relative_information_score: 76.9269, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.6787, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.1662, scimark_benchmark: 940.8816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6514, f_measure: 0.6779, kappa: 0.1212, kb_relative_information_score: 12.6308, mean_absolute_error: 0.3562, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6757, predictive_accuracy: 0.7255, prior_entropy: 0.836, recall: 0.7255, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4328, root_relative_squared_error: 0.9811, scimark_benchmark: 921.0556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6231, kb_relative_information_score: 76.9269, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.6787, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.1662, scimark_benchmark: 948.7672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5459, f_measure: 0.6739, kappa: 0.1117, kb_relative_information_score: 60.0191, mean_absolute_error: 0.2843, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6659, predictive_accuracy: 0.7157, prior_entropy: 0.836, recall: 0.7157, relative_absolute_error: 0.729, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5332, root_relative_squared_error: 1.2086, scimark_benchmark: 945.4199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5613, f_measure: 0.6549, kappa: 0.1171, kb_relative_information_score: 2.8695, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6563, predictive_accuracy: 0.6536, prior_entropy: 0.836, recall: 0.6536, relative_absolute_error: 0.8982, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5873, root_relative_squared_error: 1.3311, scimark_benchmark: 947.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5064, f_measure: 0.6364, kappa: 0.0208, kb_relative_information_score: 0.628, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6421, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4415, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6231, kb_relative_information_score: 76.9269, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.6787, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.1662, scimark_benchmark: 937.1178,

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