Task
Supervised Classification on splice

Supervised Classification on splice

Task 45 Supervised Classification splice 20618 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_50 study_7 study_70 study_98 study_99 under100k under1m
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20618 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, kb_relative_information_score: 81.3054, mean_absolute_error: 0.421, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0267, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4495, root_relative_squared_error: 0.9927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9003, kappa: 0.8385, kb_relative_information_score: 1405.334, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9052, predictive_accuracy: 0.9006, prior_entropy: 1.4804, recall: 0.9006, relative_absolute_error: 0.6843, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -16.621, mean_absolute_error: 0.4237, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0332, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4558, root_relative_squared_error: 1.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -25.6695, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0534, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4604, root_relative_squared_error: 1.0169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, kb_relative_information_score: 317.8194, mean_absolute_error: 0.3943, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 0.9614, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.9432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, kb_relative_information_score: -5.7105, mean_absolute_error: 0.4288, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0457, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4577, root_relative_squared_error: 1.0109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, kb_relative_information_score: -0.5036, mean_absolute_error: 0.4306, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0501, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4587, root_relative_squared_error: 1.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 3.4412, mean_absolute_error: 0.4134, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0082, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4531, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -23.5328, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0485, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4591, root_relative_squared_error: 1.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 15.1692, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0107, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4535, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 0.148, mean_absolute_error: 0.4106, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4528, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9305, kappa: 0.8871, kb_relative_information_score: 2279.1296, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9324, predictive_accuracy: 0.9298, prior_entropy: 1.4804, recall: 0.9298, relative_absolute_error: 0.3757, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.4923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -19.9092, mean_absolute_error: 0.4265, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.04, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -21.7403, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0442, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4581, root_relative_squared_error: 1.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 83.6724, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0071, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4555, root_relative_squared_error: 1.0061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 90.7577, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4541, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 127.4007, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4553, root_relative_squared_error: 1.0056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, kb_relative_information_score: 76.9662, mean_absolute_error: 0.4229, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0314, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 0.7533, mean_absolute_error: 0.4121, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0049, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4529, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -17.4299, mean_absolute_error: 0.4244, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0349, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4561, root_relative_squared_error: 1.0073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, kb_relative_information_score: -4.9526, mean_absolute_error: 0.4298, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0482, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -25.8603, mean_absolute_error: 0.4322, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0539, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4606, root_relative_squared_error: 1.0172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.8341, kappa: 0.7286, kb_relative_information_score: 909.5141, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.8372, predictive_accuracy: 0.837, prior_entropy: 1.4804, recall: 0.837, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.8253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, kb_relative_information_score: 8.7838, mean_absolute_error: 0.4193, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0226, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -26.235, mean_absolute_error: 0.4325, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0547, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4608, root_relative_squared_error: 1.0177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, kb_relative_information_score: 293.7162, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.5925, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4528, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, kb_relative_information_score: -1.7081, mean_absolute_error: 0.4262, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0392, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.456, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.8742, kappa: 0.7973, kb_relative_information_score: 1322.7939, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.8775, predictive_accuracy: 0.8752, prior_entropy: 1.4804, recall: 0.8752, relative_absolute_error: 0.7068, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.7312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.5851, kappa: 0.3436, kb_relative_information_score: 635.6346, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.7722, predictive_accuracy: 0.6577, prior_entropy: 1.4804, recall: 0.6577, relative_absolute_error: 0.8935, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.1594, mean_absolute_error: 0.4263, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0396, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4607, root_relative_squared_error: 1.0175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, kappa: 0.3043, kb_relative_information_score: 685.9639, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.6144, prior_entropy: 1.4804, recall: 0.6144, relative_absolute_error: 0.8468, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9548, kappa: 0.9266, kb_relative_information_score: 2748.0763, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9554, predictive_accuracy: 0.9545, prior_entropy: 1.4804, recall: 0.9545, relative_absolute_error: 0.183, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.3513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -21.3734, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0436, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4579, root_relative_squared_error: 1.0113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, kb_relative_information_score: 256.3825, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 0.9886, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.9572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, kb_relative_information_score: -15.6095, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0514, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4596, root_relative_squared_error: 1.0149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9496, kappa: 0.9182, kb_relative_information_score: 2595.8196, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9509, predictive_accuracy: 0.9492, prior_entropy: 1.4804, recall: 0.9492, relative_absolute_error: 0.2496, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -1.0068, mean_absolute_error: 0.4121, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4529, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -26.3127, mean_absolute_error: 0.4326, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0549, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4609, root_relative_squared_error: 1.0179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -22.7837, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0465, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4586, root_relative_squared_error: 1.0129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -15.7189, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.031, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4554, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -8.6978, mean_absolute_error: 0.4167, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0162, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4535, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -20.1903, mean_absolute_error: 0.4269, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.041, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4573, root_relative_squared_error: 1.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, kb_relative_information_score: 92.0416, mean_absolute_error: 0.4206, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0257, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -25.475, mean_absolute_error: 0.4318, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.053, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4603, root_relative_squared_error: 1.0166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -23.3204, mean_absolute_error: 0.4298, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.048, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.459, root_relative_squared_error: 1.0137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, kb_relative_information_score: -24.1625, mean_absolute_error: 0.4328, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0555, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.461, root_relative_squared_error: 1.0181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -19.2813, mean_absolute_error: 0.4261, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.039, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4569, root_relative_squared_error: 1.0091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.5119, mean_absolute_error: 0.4119, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4529, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, kb_relative_information_score: -2.8241, mean_absolute_error: 0.4303, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0493, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4585, root_relative_squared_error: 1.0127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.6131, kappa: 0.4314, kb_relative_information_score: 445.6291, mean_absolute_error: 0.3875, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.6951, predictive_accuracy: 0.6944, prior_entropy: 1.4804, recall: 0.6944, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.416, root_relative_squared_error: 0.9188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -37.8027, mean_absolute_error: 0.4405, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0741, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4678, root_relative_squared_error: 1.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, kb_relative_information_score: 83.1099, mean_absolute_error: 0.4035, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.9847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, kb_relative_information_score: -22.6538, mean_absolute_error: 0.4315, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0523, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4601, root_relative_squared_error: 1.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -26.8492, mean_absolute_error: 0.4331, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0562, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4613, root_relative_squared_error: 1.0187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, kb_relative_information_score: 12.0098, mean_absolute_error: 0.4262, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0394, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4554, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, kb_relative_information_score: 125.3795, mean_absolute_error: 0.4173, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0175, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.9842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 29.2796, mean_absolute_error: 0.4093, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4529, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -3.1934, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.006, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4529, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -26.6304, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0557, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4611, root_relative_squared_error: 1.0184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 49.4588, mean_absolute_error: 0.4059, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4532, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, kb_relative_information_score: 60.8359, mean_absolute_error: 0.4235, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0328, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, kb_relative_information_score: -15.88, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0463, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4582, root_relative_squared_error: 1.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -23.4531, mean_absolute_error: 0.4298, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0481, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.459, root_relative_squared_error: 1.0138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -25.9488, mean_absolute_error: 0.4323, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0541, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4606, root_relative_squared_error: 1.0173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9428, kappa: 0.9074, kb_relative_information_score: 2426.6206, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9448, predictive_accuracy: 0.9423, prior_entropy: 1.4804, recall: 0.9423, relative_absolute_error: 0.3209, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -22.4388, mean_absolute_error: 0.429, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.046, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4585, root_relative_squared_error: 1.0126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -24.801, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0514, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4599, root_relative_squared_error: 1.0157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 17.1399, mean_absolute_error: 0.4086, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4528, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 13.5245, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4528, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, kb_relative_information_score: 29.0889, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0441, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.456, root_relative_squared_error: 1.0071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, kb_relative_information_score: -25.875, mean_absolute_error: 0.4324, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0543, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4607, root_relative_squared_error: 1.0175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -24.291, mean_absolute_error: 0.4306, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0501, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4596, root_relative_squared_error: 1.0149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, kb_relative_information_score: 246.5588, mean_absolute_error: 0.4055, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, kb_relative_information_score: -16.999, mean_absolute_error: 0.4295, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0473, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4585, root_relative_squared_error: 1.0127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, kb_relative_information_score: 429.8816, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 0.9321, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.9205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, kb_relative_information_score: 85.6418, mean_absolute_error: 0.4039, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 0.9849, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -53.2096, mean_absolute_error: 0.4348, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.2404, prior_entropy: 1.4804, recall: 0.2404, relative_absolute_error: 1.0604, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4669, root_relative_squared_error: 1.0312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -28.5634, mean_absolute_error: 0.4347, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0601, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4625, root_relative_squared_error: 1.0214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -25.5714, mean_absolute_error: 0.4319, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0531, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4604, root_relative_squared_error: 1.0167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -24.5586, mean_absolute_error: 0.4309, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0508, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4597, root_relative_squared_error: 1.0153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 42.0158, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4531, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -12.4838, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.024, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -26.1187, mean_absolute_error: 0.4324, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0545, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4608, root_relative_squared_error: 1.0176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -3.2467, mean_absolute_error: 0.4126, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0061, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4529, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, kb_relative_information_score: 33.2948, mean_absolute_error: 0.4267, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0406, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4549, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -26.038, mean_absolute_error: 0.4323, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0543, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4607, root_relative_squared_error: 1.0175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 25.0508, mean_absolute_error: 0.4079, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4529, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.881, kappa: 0.8051, kb_relative_information_score: 1163.8522, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.8861, predictive_accuracy: 0.8834, prior_entropy: 1.4804, recall: 0.8834, relative_absolute_error: 0.7471, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.7652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -16.3102, mean_absolute_error: 0.4232, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0321, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4556, root_relative_squared_error: 1.0062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 75.5455, mean_absolute_error: 0.4035, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4538, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, kb_relative_information_score: -23.7718, mean_absolute_error: 0.4309, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0507, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4597, root_relative_squared_error: 1.0152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9471, kappa: 0.914, kb_relative_information_score: 1082.2797, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9475, predictive_accuracy: 0.947, prior_entropy: 1.4804, recall: 0.947, relative_absolute_error: 0.793, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, kb_relative_information_score: 2.0545, mean_absolute_error: 0.4287, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0455, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4574, root_relative_squared_error: 1.0101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -27.1768, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0564, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4613, root_relative_squared_error: 1.0189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.1489, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4528, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, kb_relative_information_score: 134.642, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 0.9787, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, kappa: 0.4684, kb_relative_information_score: 516.2456, mean_absolute_error: 0.3799, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.7009, prior_entropy: 1.4804, recall: 0.7009, relative_absolute_error: 0.9264, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.9041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -27.0906, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 1.0567, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4614, root_relative_squared_error: 1.0191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.8661, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4528, root_relative_squared_error: 1,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

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

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From your own software

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

OpenML APIs