Task
Supervised Classification on breast-w

Supervised Classification on breast-w

Task 15 Supervised Classification breast-w 21760 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_70 study_98 study_99 under100k under1m
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21760 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9058, kappa: 0.7878, kb_relative_information_score: 281.7553, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9126, predictive_accuracy: 0.9084, prior_entropy: 0.9297, recall: 0.9084, relative_absolute_error: 0.676, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.6929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9645, kappa: 0.922, kb_relative_information_score: 585.3654, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.1837, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.3822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.4257, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9003, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4968, root_relative_squared_error: 1.0453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: -1.2199, mean_absolute_error: 0.4523, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, kb_relative_information_score: 32.7826, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.954, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.48, root_relative_squared_error: 1.0099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kb_relative_information_score: -4.7637, mean_absolute_error: 0.4535, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9321, kappa: 0.8483, kb_relative_information_score: 300.1837, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9329, predictive_accuracy: 0.9328, prior_entropy: 0.9297, recall: 0.9328, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.6688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -19.8441, mean_absolute_error: 0.4585, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0144, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4758, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, kb_relative_information_score: 4.0589, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.475, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 15.3217, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9791, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -55.8619, mean_absolute_error: 0.4713, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0428, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4794, root_relative_squared_error: 1.0087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, kb_relative_information_score: 13.0833, mean_absolute_error: 0.4439, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 2.1834, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, kb_relative_information_score: 3.91, mean_absolute_error: 0.4496, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kb_relative_information_score: -0.6483, mean_absolute_error: 0.4521, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9744, kappa: 0.9436, kb_relative_information_score: 610.9458, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9749, predictive_accuracy: 0.9742, prior_entropy: 0.9297, recall: 0.9742, relative_absolute_error: 0.1414, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: 8.0189, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, kb_relative_information_score: 81.059, mean_absolute_error: 0.4107, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.9234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5027, kb_relative_information_score: -43.6635, mean_absolute_error: 0.4668, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0328, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4777, root_relative_squared_error: 1.0051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kb_relative_information_score: 3.2237, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: -5.4783, mean_absolute_error: 0.4537, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, kb_relative_information_score: 13.3136, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9819, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kb_relative_information_score: 6.8852, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, kb_relative_information_score: -10.9224, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0078, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, kb_relative_information_score: 114.4022, mean_absolute_error: 0.397, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.8783, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, kb_relative_information_score: 17.939, mean_absolute_error: 0.4421, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9782, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, kb_relative_information_score: -7.0919, mean_absolute_error: 0.4542, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9168, kappa: 0.8131, kb_relative_information_score: 298.3834, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9205, predictive_accuracy: 0.9185, prior_entropy: 0.9297, recall: 0.9185, relative_absolute_error: 0.6516, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.6738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9395, kappa: 0.8654, kb_relative_information_score: 380.9788, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9398, predictive_accuracy: 0.9399, prior_entropy: 0.9297, recall: 0.9399, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.273, root_relative_squared_error: 0.5743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9348, kappa: 0.8542, kb_relative_information_score: 381.8998, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9363, predictive_accuracy: 0.9356, prior_entropy: 0.9297, recall: 0.9356, relative_absolute_error: 0.5109, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.6032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kb_relative_information_score: -4.2399, mean_absolute_error: 0.4533, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kb_relative_information_score: 5.6037, mean_absolute_error: 0.4485, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -53.5045, mean_absolute_error: 0.4704, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0409, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4791, root_relative_squared_error: 1.0081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, kb_relative_information_score: 138.235, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.8462, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, kb_relative_information_score: 31.2298, mean_absolute_error: 0.4324, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -9.7164, mean_absolute_error: 0.4551, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0069, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9503, kappa: 0.8908, kb_relative_information_score: 425.7233, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9515, predictive_accuracy: 0.9499, prior_entropy: 0.9297, recall: 0.9499, relative_absolute_error: 0.452, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.251, root_relative_squared_error: 0.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: 11.5175, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4758, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, kb_relative_information_score: 12.299, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, kb_relative_information_score: 83.652, mean_absolute_error: 0.4001, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.8853, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, kb_relative_information_score: 9.8263, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, kb_relative_information_score: 1.0168, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, kb_relative_information_score: -4.3927, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, kb_relative_information_score: 0.1051, mean_absolute_error: 0.4519, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -48.645, mean_absolute_error: 0.4686, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0369, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4784, root_relative_squared_error: 1.0065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5032, kb_relative_information_score: -10.1982, mean_absolute_error: 0.4552, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0073, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -36.3082, mean_absolute_error: 0.4642, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.027, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.477, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, kb_relative_information_score: -9.255, mean_absolute_error: 0.4549, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, kb_relative_information_score: 5.1956, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, kb_relative_information_score: 31.4079, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9708, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, kb_relative_information_score: -2.5176, mean_absolute_error: 0.4528, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.475, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kb_relative_information_score: 0.1962, mean_absolute_error: 0.4518, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9496, kappa: 0.888, kb_relative_information_score: 536.4395, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9499, predictive_accuracy: 0.9499, prior_entropy: 0.9297, recall: 0.9499, relative_absolute_error: 0.2648, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.4339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9468, kappa: 0.8816, kb_relative_information_score: 435.8218, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.947, predictive_accuracy: 0.9471, prior_entropy: 0.9297, recall: 0.9471, relative_absolute_error: 0.444, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2417, root_relative_squared_error: 0.5086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, kb_relative_information_score: 5.4375, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, kb_relative_information_score: 66.3022, mean_absolute_error: 0.4216, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9328, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.9356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: 9.2644, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9875, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4756, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, kb_relative_information_score: -16.1985, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0117, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4756, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9657, kappa: 0.9242, kb_relative_information_score: 537.8059, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.2747, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.3932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.8578, kappa: 0.678, kb_relative_information_score: 234.4075, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.8712, predictive_accuracy: 0.8641, prior_entropy: 0.9297, recall: 0.8641, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9123, kappa: 0.803, kb_relative_information_score: 289.4747, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9162, predictive_accuracy: 0.9142, prior_entropy: 0.9297, recall: 0.9142, relative_absolute_error: 0.6594, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, kb_relative_information_score: 165.6845, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, kb_relative_information_score: 138.0857, mean_absolute_error: 0.3862, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.8545, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, kb_relative_information_score: 36.1157, mean_absolute_error: 0.4335, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9592, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kb_relative_information_score: 7.1923, mean_absolute_error: 0.4476, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9903, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, kb_relative_information_score: 7.7698, mean_absolute_error: 0.4482, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.9928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, kb_relative_information_score: 25.4777, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.478, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, kb_relative_information_score: 8.2269, mean_absolute_error: 0.4469, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4756, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kb_relative_information_score: -31.4214, mean_absolute_error: 0.4624, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0232, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4766, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, kb_relative_information_score: 81.5084, mean_absolute_error: 0.4128, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.0927, mean_absolute_error: 0.4482, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, kb_relative_information_score: 10.063, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 3.9336, mean_absolute_error: 0.4496, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: 9.4221, mean_absolute_error: 0.4462, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, kb_relative_information_score: 98.9801, mean_absolute_error: 0.3955, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.8752, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.9117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, kb_relative_information_score: 2.8827, mean_absolute_error: 0.4502, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4748, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -23.0154, mean_absolute_error: 0.4595, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0168, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9483, kappa: 0.8851, kb_relative_information_score: 520.6162, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9484, predictive_accuracy: 0.9485, prior_entropy: 0.9297, recall: 0.9485, relative_absolute_error: 0.2947, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.4407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9657, kappa: 0.9243, kb_relative_information_score: 556.5179, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9659, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.2403, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.3841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, kb_relative_information_score: 17.1224, mean_absolute_error: 0.4421, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.9849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5023, kb_relative_information_score: 19.6551, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.973, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4769, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 32.4444, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4798, root_relative_squared_error: 1.0096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, kb_relative_information_score: 217.6092, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.705, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.8194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: -30.5696, mean_absolute_error: 0.4621, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0225, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4765, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kb_relative_information_score: -3.8719, mean_absolute_error: 0.4532, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, kb_relative_information_score: 33.7933, mean_absolute_error: 0.4306, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9527, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: -1.5051, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9657, kappa: 0.9242, kb_relative_information_score: 625.1455, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.1115, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.3489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, kb_relative_information_score: 37.1187, mean_absolute_error: 0.4288, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9489, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4628, root_relative_squared_error: 0.9736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 81.1981, mean_absolute_error: 0.3965, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.0679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9642, kappa: 0.9208, kb_relative_information_score: 605.7208, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9642, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kb_relative_information_score: -20.5352, mean_absolute_error: 0.4587, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0149, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4758, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9616, kappa: 0.9154, kb_relative_information_score: 567.1664, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9623, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.3886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9197, kappa: 0.8196, kb_relative_information_score: 561.1126, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9235, predictive_accuracy: 0.9213, prior_entropy: 0.9297, recall: 0.9213, relative_absolute_error: 0.1983, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.4937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, kb_relative_information_score: -11.4373, mean_absolute_error: 0.4557, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0082, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kb_relative_information_score: 16.9098, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9768, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4765, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9442, kappa: 0.8764, kb_relative_information_score: 285.5469, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9442, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.6671, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.6885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, kb_relative_information_score: 25.9964, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9639, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4783, root_relative_squared_error: 1.0063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kb_relative_information_score: 2.3999, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, kb_relative_information_score: 64.3006, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9325,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs