Task
Supervised Classification on pc3

Supervised Classification on pc3

Task 3903 Supervised Classification pc3 143201 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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143201 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, f_measure: 0.8493, kappa: 0.0104, kb_relative_information_score: -0.0202, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8932, number_of_instances: 1563, precision: 0.8249, predictive_accuracy: 0.8932, prior_entropy: 0.4765, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.9866, unweighted_recall: 0.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, f_measure: 0.8529, kappa: 0.0341, kb_relative_information_score: -0.0176, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8957, number_of_instances: 1563, precision: 0.8446, predictive_accuracy: 0.8957, prior_entropy: 0.4765, relative_absolute_error: 0.9744, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.9917, unweighted_recall: 0.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7469, f_measure: 0.8503, kappa: 0.0142, kb_relative_information_score: -0.1693, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8951, number_of_instances: 1563, precision: 0.832, predictive_accuracy: 0.8951, prior_entropy: 0.4765, relative_absolute_error: 0.9192, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9598, unweighted_recall: 0.5041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7295, f_measure: 0.8536, kappa: 0.0368, kb_relative_information_score: -0.0223, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.853, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.9648, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.9853, unweighted_recall: 0.5107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.8514, kappa: 0.0235, kb_relative_information_score: -0.1988, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8951, number_of_instances: 1563, precision: 0.8376, predictive_accuracy: 0.8951, prior_entropy: 0.4765, relative_absolute_error: 0.9146, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.9636, unweighted_recall: 0.5069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.8521, kappa: 0.0262, kb_relative_information_score: -0.0151, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8964, number_of_instances: 1563, precision: 0.8454, predictive_accuracy: 0.8964, prior_entropy: 0.4765, relative_absolute_error: 0.9658, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3, root_relative_squared_error: 0.9897, unweighted_recall: 0.5076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7162, f_measure: 0.8557, kappa: 0.0592, kb_relative_information_score: -0.039, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8951, number_of_instances: 1563, precision: 0.8486, predictive_accuracy: 0.8951, prior_entropy: 0.4765, relative_absolute_error: 0.947, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.296, root_relative_squared_error: 0.9764, unweighted_recall: 0.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.8522, kappa: 0.0313, kb_relative_information_score: -0.0141, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8944, number_of_instances: 1563, precision: 0.8388, predictive_accuracy: 0.8944, prior_entropy: 0.4765, relative_absolute_error: 0.9449, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.9778, unweighted_recall: 0.5093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5743, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -0.0188, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3038, root_relative_squared_error: 1.0023, unweighted_recall: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7224, f_measure: 0.8518, kappa: 0.0249, kb_relative_information_score: -0.0158, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8957, number_of_instances: 1563, precision: 0.8411, predictive_accuracy: 0.8957, prior_entropy: 0.4765, relative_absolute_error: 0.9725, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.9911, unweighted_recall: 0.5072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5056, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -0.0682, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 1.0067, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3043, root_relative_squared_error: 1.0039, unweighted_recall: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6977, f_measure: 0.8551, kappa: 0.0519, kb_relative_information_score: -0.1141, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8957, number_of_instances: 1563, precision: 0.8493, predictive_accuracy: 0.8957, prior_entropy: 0.4765, relative_absolute_error: 0.9321, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.9643, unweighted_recall: 0.5155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.8636, kappa: 0.1205, kb_relative_information_score: -0.1155, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8616, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.9481, unweighted_recall: 0.5384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7502, f_measure: 0.8607, kappa: 0.1049, kb_relative_information_score: -0.0632, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8938, number_of_instances: 1563, precision: 0.853, predictive_accuracy: 0.8938, prior_entropy: 0.4765, relative_absolute_error: 0.8963, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.9609, unweighted_recall: 0.5339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5104, f_measure: 0.8501, kappa: 0.0085, kb_relative_information_score: -0.0255, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8403, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.9979, unweighted_recall: 0.5024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.8535, kappa: 0.0318, kb_relative_information_score: -0.0197, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8989, number_of_instances: 1563, precision: 0.884, predictive_accuracy: 0.8989, prior_entropy: 0.4765, relative_absolute_error: 0.9851, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.99, unweighted_recall: 0.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kb_relative_information_score: 0.0032, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8976, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.9987, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.8543, kappa: 0.0491, kb_relative_information_score: -0.1337, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8944, number_of_instances: 1563, precision: 0.8443, predictive_accuracy: 0.8944, prior_entropy: 0.4765, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.9505, unweighted_recall: 0.5148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7219, f_measure: 0.8521, kappa: 0.0262, kb_relative_information_score: -0.0149, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8964, number_of_instances: 1563, precision: 0.8454, predictive_accuracy: 0.8964, prior_entropy: 0.4765, relative_absolute_error: 0.9697, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.9902, unweighted_recall: 0.5076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7469, f_measure: 0.8504, kappa: 0.0196, kb_relative_information_score: -0.0113, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8932, number_of_instances: 1563, precision: 0.8303, predictive_accuracy: 0.8932, prior_entropy: 0.4765, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.9775, unweighted_recall: 0.5058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.8526, kappa: 0.0376, kb_relative_information_score: -0.0328, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8932, number_of_instances: 1563, precision: 0.8377, predictive_accuracy: 0.8932, prior_entropy: 0.4765, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.9738, unweighted_recall: 0.5113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.8547, kappa: 0.0411, kb_relative_information_score: -0.0223, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8989, number_of_instances: 1563, precision: 0.8759, predictive_accuracy: 0.8989, prior_entropy: 0.4765, relative_absolute_error: 0.9654, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.9847, unweighted_recall: 0.5118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5571, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -0.0172, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3041, root_relative_squared_error: 1.0033, unweighted_recall: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.8496, kappa: 0.0116, kb_relative_information_score: -0.1479, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8938, number_of_instances: 1563, precision: 0.8268, predictive_accuracy: 0.8938, prior_entropy: 0.4765, relative_absolute_error: 0.9042, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.9535, unweighted_recall: 0.5034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.855, kappa: 0.0425, kb_relative_information_score: -0.0475, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8996, number_of_instances: 1563, precision: 0.8896, predictive_accuracy: 0.8996, prior_entropy: 0.4765, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.298, root_relative_squared_error: 0.9832, unweighted_recall: 0.5121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.8521, kappa: 0.0262, kb_relative_information_score: -0.0142, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8964, number_of_instances: 1563, precision: 0.8454, predictive_accuracy: 0.8964, prior_entropy: 0.4765, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3, root_relative_squared_error: 0.9898, unweighted_recall: 0.5076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.855, kappa: 0.0425, kb_relative_information_score: -0.0473, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8996, number_of_instances: 1563, precision: 0.8896, predictive_accuracy: 0.8996, prior_entropy: 0.4765, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.9825, unweighted_recall: 0.5121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, f_measure: 0.8496, kappa: 0.0116, kb_relative_information_score: -0.021, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8938, number_of_instances: 1563, precision: 0.8268, predictive_accuracy: 0.8938, prior_entropy: 0.4765, relative_absolute_error: 0.9603, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.9878, unweighted_recall: 0.5034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7012, f_measure: 0.8501, kappa: 0.0085, kb_relative_information_score: -0.0073, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8403, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3034, root_relative_squared_error: 1.001, unweighted_recall: 0.5024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6971, f_measure: 0.8515, kappa: 0.0336, kb_relative_information_score: -0.016, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8912, number_of_instances: 1563, precision: 0.8331, predictive_accuracy: 0.8912, prior_entropy: 0.4765, relative_absolute_error: 0.944, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.9837, unweighted_recall: 0.5103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.732, f_measure: 0.855, kappa: 0.0425, kb_relative_information_score: -0.0499, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8996, number_of_instances: 1563, precision: 0.8896, predictive_accuracy: 0.8996, prior_entropy: 0.4765, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.9839, unweighted_recall: 0.5121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5663, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -0.0121, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.9916, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3037, root_relative_squared_error: 1.0018, unweighted_recall: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.8639, kappa: 0.1177, kb_relative_information_score: -0.0681, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8989, number_of_instances: 1563, precision: 0.8673, predictive_accuracy: 0.8989, prior_entropy: 0.4765, relative_absolute_error: 0.9068, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.9569, unweighted_recall: 0.5367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5366, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -0.0075, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3042, root_relative_squared_error: 1.0034, unweighted_recall: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7085, f_measure: 0.8536, kappa: 0.0368, kb_relative_information_score: -0.017, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.853, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3, root_relative_squared_error: 0.9897, unweighted_recall: 0.5107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5716, f_measure: 0.8486, kappa: -0.0025, kb_relative_information_score: -0.1646, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8964, number_of_instances: 1563, precision: 0.8056, predictive_accuracy: 0.8964, prior_entropy: 0.4765, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3038, root_relative_squared_error: 1.0023, unweighted_recall: 0.4993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.8643, kappa: 0.1194, kb_relative_information_score: -0.072, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8996, number_of_instances: 1563, precision: 0.8698, predictive_accuracy: 0.8996, prior_entropy: 0.4765, relative_absolute_error: 0.9076, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.29, root_relative_squared_error: 0.9566, unweighted_recall: 0.5371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.8615, kappa: 0.108, kb_relative_information_score: -0.0614, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8951, number_of_instances: 1563, precision: 0.8559, predictive_accuracy: 0.8951, prior_entropy: 0.4765, relative_absolute_error: 0.899, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.9617, unweighted_recall: 0.5346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6141, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -0.0126, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9995, unweighted_recall: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.8535, kappa: 0.0318, kb_relative_information_score: -0.017, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8989, number_of_instances: 1563, precision: 0.884, predictive_accuracy: 0.8989, prior_entropy: 0.4765, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.299, root_relative_squared_error: 0.9863, unweighted_recall: 0.509,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.732, f_measure: 0.8501, kappa: 0.0085, kb_relative_information_score: -0.0007, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8403, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.9729, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.299, root_relative_squared_error: 0.9865, unweighted_recall: 0.5024,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.8533, kappa: 0.0403, kb_relative_information_score: -0.1231, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8944, number_of_instances: 1563, precision: 0.8419, predictive_accuracy: 0.8944, prior_entropy: 0.4765, relative_absolute_error: 0.9027, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.9522, unweighted_recall: 0.5121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.8583, kappa: 0.0827, kb_relative_information_score: -0.1304, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8944, number_of_instances: 1563, precision: 0.851, predictive_accuracy: 0.8944, prior_entropy: 0.4765, relative_absolute_error: 0.876, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.9471, unweighted_recall: 0.5259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.8739, kappa: 0.2072, kb_relative_information_score: -0.0758, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8983, number_of_instances: 1563, precision: 0.8703, predictive_accuracy: 0.8983, prior_entropy: 0.4765, relative_absolute_error: 0.8201, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.9283, unweighted_recall: 0.5723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.8755, kappa: 0.2238, kb_relative_information_score: -0.063, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8976, number_of_instances: 1563, precision: 0.8707, predictive_accuracy: 0.8976, prior_entropy: 0.4765, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.9308, unweighted_recall: 0.5803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.8737, kappa: 0.2098, kb_relative_information_score: -0.0665, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8687, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.9284, unweighted_recall: 0.5744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.8739, kappa: 0.2072, kb_relative_information_score: -0.0758, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8983, number_of_instances: 1563, precision: 0.8703, predictive_accuracy: 0.8983, prior_entropy: 0.4765, relative_absolute_error: 0.8201, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.9283, unweighted_recall: 0.5723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.8755, kappa: 0.2238, kb_relative_information_score: -0.063, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8976, number_of_instances: 1563, precision: 0.8707, predictive_accuracy: 0.8976, prior_entropy: 0.4765, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.9308, unweighted_recall: 0.5803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -0.115, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9333, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8726, kappa: 0.2087, kb_relative_information_score: -0.0675, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8944, number_of_instances: 1563, precision: 0.8657, predictive_accuracy: 0.8944, prior_entropy: 0.4765, relative_absolute_error: 0.8068, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2824, root_relative_squared_error: 0.9318, unweighted_recall: 0.5757,

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