Task
Supervised Classification on spambase

Supervised Classification on spambase

Task 43 Supervised Classification spambase 95865 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_98 study_99 under100k under1m
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95865 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 50.431, mean_absolute_error: 0.473, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4891, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -25.6901, mean_absolute_error: 0.479, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.7955, kappa: 0.5681, kb_relative_information_score: 1052.793, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8268, predictive_accuracy: 0.8072, prior_entropy: 0.9674, recall: 0.8072, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.5682, kappa: 0.1539, kb_relative_information_score: 490.9361, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7318, predictive_accuracy: 0.6549, prior_entropy: 0.9674, recall: 0.6549, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 1.2781, mean_absolute_error: 0.4774, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.8808, kappa: 0.7477, kb_relative_information_score: 1597.169, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.889, predictive_accuracy: 0.8835, prior_entropy: 0.9674, recall: 0.8835, relative_absolute_error: 0.7143, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.834, kappa: 0.6491, kb_relative_information_score: 1431.0116, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8645, predictive_accuracy: 0.8426, prior_entropy: 0.9674, recall: 0.8426, relative_absolute_error: 0.7465, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: -72.8303, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.009, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4891, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: -2.3586, mean_absolute_error: 0.4777, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: -49.8325, mean_absolute_error: 0.4805, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0061, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4888, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: -155.4026, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0197, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4907, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: -7.9835, mean_absolute_error: 0.478, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, kb_relative_information_score: 78.1177, mean_absolute_error: 0.4713, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9869, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -13.7136, mean_absolute_error: 0.4783, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, kb_relative_information_score: 58.3602, mean_absolute_error: 0.4734, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4844, root_relative_squared_error: 0.9914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 16.1334, mean_absolute_error: 0.4761, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: -16.9059, mean_absolute_error: 0.4785, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: -50.8431, mean_absolute_error: 0.4805, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4888, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 2.076, mean_absolute_error: 0.4773, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, kb_relative_information_score: -96.4765, mean_absolute_error: 0.4832, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0119, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4873, root_relative_squared_error: 0.9972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -75.5855, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0093, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4891, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -49.829, mean_absolute_error: 0.4805, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0061, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4888, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 8.8555, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8466, kappa: 0.6758, kb_relative_information_score: 1895.5718, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8503, predictive_accuracy: 0.8492, prior_entropy: 0.9674, recall: 0.8492, relative_absolute_error: 0.6358, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: -7.3322, mean_absolute_error: 0.478, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 3.8176, mean_absolute_error: 0.4772, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9212, kappa: 0.834, kb_relative_information_score: 2870.2004, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.923, predictive_accuracy: 0.922, prior_entropy: 0.9674, recall: 0.922, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.5496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 12.0479, mean_absolute_error: 0.4765, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -84.804, mean_absolute_error: 0.4826, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0105, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4892, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: -90.8425, mean_absolute_error: 0.4829, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0113, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4893, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 44.7132, mean_absolute_error: 0.4735, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9916, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.489, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.7512, kappa: 0.481, kb_relative_information_score: 560.5517, mean_absolute_error: 0.4358, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8209, predictive_accuracy: 0.775, prior_entropy: 0.9674, recall: 0.775, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.9099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: -7.8183, mean_absolute_error: 0.478, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, kb_relative_information_score: 454.6249, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: -27.9385, mean_absolute_error: 0.4792, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, kb_relative_information_score: 312.0203, mean_absolute_error: 0.4548, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9524, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.7806, kappa: 0.5392, kb_relative_information_score: 928.2134, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.833, predictive_accuracy: 0.7977, prior_entropy: 0.9674, recall: 0.7977, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.8582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9347, kappa: 0.8633, kb_relative_information_score: 3809.9367, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9347, predictive_accuracy: 0.9348, prior_entropy: 0.9674, recall: 0.9348, relative_absolute_error: 0.178, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.4612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -264.7497, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0349, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.0129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, kb_relative_information_score: 347.9651, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, kb_relative_information_score: 87.9531, mean_absolute_error: 0.472, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9883, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.7591, kappa: 0.4973, kb_relative_information_score: 895.7777, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8301, predictive_accuracy: 0.782, prior_entropy: 0.9674, recall: 0.782, relative_absolute_error: 0.8522, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.7979, kappa: 0.5724, kb_relative_information_score: 928.7581, mean_absolute_error: 0.4011, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.821, predictive_accuracy: 0.8077, prior_entropy: 0.9674, recall: 0.8077, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.8606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8284, kappa: 0.6365, kb_relative_information_score: 1334.7289, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.844, predictive_accuracy: 0.8346, prior_entropy: 0.9674, recall: 0.8346, relative_absolute_error: 0.7623, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.7954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, kb_relative_information_score: 148.382, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.9772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.7968, kappa: 0.5729, kb_relative_information_score: 872.0817, mean_absolute_error: 0.4101, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8501, predictive_accuracy: 0.8122, prior_entropy: 0.9674, recall: 0.8122, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 8.015, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: -2.4378, mean_absolute_error: 0.4777, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -306.5508, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.041, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, kb_relative_information_score: 41.7851, mean_absolute_error: 0.4746, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4857, root_relative_squared_error: 0.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, kb_relative_information_score: 295.9651, mean_absolute_error: 0.4563, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9555, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 2.0785, mean_absolute_error: 0.4773, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 31.1188, mean_absolute_error: 0.4748, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4888, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -94.465, mean_absolute_error: 0.4832, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0117, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4894, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, kb_relative_information_score: 442.6478, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.93, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, kb_relative_information_score: 213.0936, mean_absolute_error: 0.4619, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9673, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: -2.6916, mean_absolute_error: 0.4777, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8503, kappa: 0.6834, kb_relative_information_score: 1885.859, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8551, predictive_accuracy: 0.8531, prior_entropy: 0.9674, recall: 0.8531, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.8441, kappa: 0.6716, kb_relative_information_score: 2514.2523, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8445, predictive_accuracy: 0.8453, prior_entropy: 0.9674, recall: 0.8453, relative_absolute_error: 0.4778, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.6925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: -91.7509, mean_absolute_error: 0.483, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0114, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4893, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: -16.8833, mean_absolute_error: 0.4785, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.8895, kappa: 0.7663, kb_relative_information_score: 1963.1013, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8954, predictive_accuracy: 0.8915, prior_entropy: 0.9674, recall: 0.8915, relative_absolute_error: 0.6337, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.6916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, kb_relative_information_score: 20.0207, mean_absolute_error: 0.4758, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8437, kappa: 0.6708, kb_relative_information_score: 2538.8244, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8443, predictive_accuracy: 0.845, prior_entropy: 0.9674, recall: 0.845, relative_absolute_error: 0.4737, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.6764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 9.0664, mean_absolute_error: 0.4767, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -10.2259, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 3.3691, mean_absolute_error: 0.4772, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.7678, kappa: 0.5132, kb_relative_information_score: 908.4903, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8235, predictive_accuracy: 0.787, prior_entropy: 0.9674, recall: 0.787, relative_absolute_error: 0.8478, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.8605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8622, kappa: 0.7082, kb_relative_information_score: 1316.434, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8801, predictive_accuracy: 0.8672, prior_entropy: 0.9674, recall: 0.8672, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 12.2138, mean_absolute_error: 0.4765, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 27.2939, mean_absolute_error: 0.4751, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4888, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, kb_relative_information_score: 110.7676, mean_absolute_error: 0.4684, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4814, root_relative_squared_error: 0.9853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 3.1403, mean_absolute_error: 0.4773, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -57.0111, mean_absolute_error: 0.4809, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0069, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.489, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: -76.5057, mean_absolute_error: 0.4821, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0094, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4891, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 11.0797, mean_absolute_error: 0.4766, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 17.199, mean_absolute_error: 0.476, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: -0.8981, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.9105, kappa: 0.812, kb_relative_information_score: 2900.9054, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9107, predictive_accuracy: 0.9109, prior_entropy: 0.9674, recall: 0.9109, relative_absolute_error: 0.4134, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.5552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.803, kappa: 0.5847, kb_relative_information_score: 2069.9205, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8033, predictive_accuracy: 0.8048, prior_entropy: 0.9674, recall: 0.8048, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.7517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: -3.6499, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -18.7677, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, kb_relative_information_score: 204.9831, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9613, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.9754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 44.7052, mean_absolute_error: 0.4735, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9916, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4891, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 15.3616, mean_absolute_error: 0.4762, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: -1.2845, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 5.4854, mean_absolute_error: 0.4771, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: -64.4192, mean_absolute_error: 0.4813, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0079, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.489, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: -2.794, mean_absolute_error: 0.4777, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: -8.1322, mean_absolute_error: 0.478, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -109.9578, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0137, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4896, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 5.3756, mean_absolute_error: 0.4771, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, kb_relative_information_score: 28.6937, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4884, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, kb_relative_information_score: 57.0415, mean_absolute_error: 0.4732, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, kb_relative_information_score: 410.0591, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9364, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: -13.1353, mean_absolute_error: 0.4783, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 17.6533, mean_absolute_error: 0.476, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 16.2085, mean_absolute_error: 0.4761, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: -3.2227, mean_absolute_error: 0.4777, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: -19.3362, mean_absolute_error: 0.4787, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0001,

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