OpenML
Supervised Classification on pc1

Supervised Classification on pc1

Task 3918 Supervised Classification pc1 147053 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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147053 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5532, f_measure: 0.8905, kappa: 0.1162, kb_relative_information_score: -0.132, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.886, predictive_accuracy: 0.8954, prior_entropy: 0.3638, recall: 0.8954, relative_absolute_error: 0.8053, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3234, root_relative_squared_error: 1.2724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5055, f_measure: 0.8984, kappa: 0.0199, kb_relative_information_score: 0.2388, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8898, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2652, root_relative_squared_error: 1.0433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5567, f_measure: 0.9069, kappa: 0.1621, kb_relative_information_score: 0.1803, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8987, predictive_accuracy: 0.9243, prior_entropy: 0.3638, recall: 0.9243, relative_absolute_error: 0.5831, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2752, root_relative_squared_error: 1.0827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5555, f_measure: 0.9118, kappa: 0.177, kb_relative_information_score: 0.2779, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9144, predictive_accuracy: 0.9333, prior_entropy: 0.3638, recall: 0.9333, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2583, root_relative_squared_error: 1.0162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5495, f_measure: 0.9106, kappa: 0.1609, kb_relative_information_score: 0.2779, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9147, predictive_accuracy: 0.9333, prior_entropy: 0.3638, recall: 0.9333, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2583, root_relative_squared_error: 1.0162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5512, f_measure: 0.9065, kappa: 0.1502, kb_relative_information_score: 0.19, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8983, predictive_accuracy: 0.9252, prior_entropy: 0.3638, recall: 0.9252, relative_absolute_error: 0.5762, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2736, root_relative_squared_error: 1.0763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5125, f_measure: 0.901, kappa: 0.045, kb_relative_information_score: 0.2583, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9138, predictive_accuracy: 0.9315, prior_entropy: 0.3638, recall: 0.9315, relative_absolute_error: 0.5276, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2618, root_relative_squared_error: 1.0299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5125, f_measure: 0.901, kappa: 0.045, kb_relative_information_score: 0.2583, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9138, predictive_accuracy: 0.9315, prior_entropy: 0.3638, recall: 0.9315, relative_absolute_error: 0.5276, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2618, root_relative_squared_error: 1.0299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.8944, kappa: -0.0101, kb_relative_information_score: 0.19, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8656, predictive_accuracy: 0.9252, prior_entropy: 0.3638, recall: 0.9252, relative_absolute_error: 0.5762, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2736, root_relative_squared_error: 1.0763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.8922, kappa: -0.0024, kb_relative_information_score: 0.112, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8702, predictive_accuracy: 0.9179, prior_entropy: 0.3638, recall: 0.9179, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2865, root_relative_squared_error: 1.1269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5877, f_measure: 0.9129, kappa: 0.2346, kb_relative_information_score: 0.1998, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9066, predictive_accuracy: 0.9261, prior_entropy: 0.3638, recall: 0.9261, relative_absolute_error: 0.5693, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.0698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5125, f_measure: 0.901, kappa: 0.045, kb_relative_information_score: 0.2583, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9138, predictive_accuracy: 0.9315, prior_entropy: 0.3638, recall: 0.9315, relative_absolute_error: 0.5276, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2618, root_relative_squared_error: 1.0299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5125, f_measure: 0.901, kappa: 0.045, kb_relative_information_score: 0.2583, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9138, predictive_accuracy: 0.9315, prior_entropy: 0.3638, recall: 0.9315, relative_absolute_error: 0.5276, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2618, root_relative_squared_error: 1.0299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5499, f_measure: 0.8989, kappa: 0.1274, kb_relative_information_score: 0.0436, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8891, predictive_accuracy: 0.9116, prior_entropy: 0.3638, recall: 0.9116, relative_absolute_error: 0.6803, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2973, root_relative_squared_error: 1.1695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5115, f_measure: 0.9, kappa: 0.0407, kb_relative_information_score: 0.2388, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8951, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2652, root_relative_squared_error: 1.0433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5115, f_measure: 0.9, kappa: 0.0407, kb_relative_information_score: 0.2388, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8951, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2652, root_relative_squared_error: 1.0433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5115, f_measure: 0.9, kappa: 0.0407, kb_relative_information_score: 0.2388, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8951, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2652, root_relative_squared_error: 1.0433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.9053, kappa: 0.1349, kb_relative_information_score: 0.19, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8967, predictive_accuracy: 0.9252, prior_entropy: 0.3638, recall: 0.9252, relative_absolute_error: 0.5762, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2736, root_relative_squared_error: 1.0763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5476, f_measure: 0.9082, kappa: 0.1488, kb_relative_information_score: 0.2388, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9044, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2652, root_relative_squared_error: 1.0433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5387, f_measure: 0.9036, kappa: 0.1166, kb_relative_information_score: 0.1803, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8938, predictive_accuracy: 0.9243, prior_entropy: 0.3638, recall: 0.9243, relative_absolute_error: 0.5831, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2752, root_relative_squared_error: 1.0827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.8967, kappa: -0.0018, kb_relative_information_score: 0.2388, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8659, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2652, root_relative_squared_error: 1.0433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5385, f_measure: 0.9091, kappa: 0.1328, kb_relative_information_score: 0.2974, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9301, predictive_accuracy: 0.9351, prior_entropy: 0.3638, recall: 0.9351, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2548, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5611, f_measure: 0.9123, kappa: 0.1892, kb_relative_information_score: 0.2681, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.912, predictive_accuracy: 0.9324, prior_entropy: 0.3638, recall: 0.9324, relative_absolute_error: 0.5207, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2601, root_relative_squared_error: 1.0231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.9094, kappa: 0.1645, kb_relative_information_score: 0.2388, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9054, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2652, root_relative_squared_error: 1.0433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5988, f_measure: 0.9134, kappa: 0.252, kb_relative_information_score: 0.1803, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9071, predictive_accuracy: 0.9243, prior_entropy: 0.3638, recall: 0.9243, relative_absolute_error: 0.5831, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2752, root_relative_squared_error: 1.0827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6015, f_measure: 0.9243, kappa: 0.3059, kb_relative_information_score: 0.3559, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9313, predictive_accuracy: 0.9405, prior_entropy: 0.3638, recall: 0.9405, relative_absolute_error: 0.4582, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.244, root_relative_squared_error: 0.9597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5055, f_measure: 0.8984, kappa: 0.0199, kb_relative_information_score: 0.2388, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8898, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2652, root_relative_squared_error: 1.0433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2486, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2635, root_relative_squared_error: 1.0366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6125, f_measure: 0.9247, kappa: 0.3217, kb_relative_information_score: 0.3364, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9261, predictive_accuracy: 0.9387, prior_entropy: 0.3638, recall: 0.9387, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.9742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.606, f_measure: 0.9231, kappa: 0.3058, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9244, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2486, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2635, root_relative_squared_error: 1.0366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5055, f_measure: 0.8984, kappa: 0.0199, kb_relative_information_score: 0.2388, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8898, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2652, root_relative_squared_error: 1.0433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.8967, kappa: -0.0018, kb_relative_information_score: 0.2388, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8659, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2652, root_relative_squared_error: 1.0433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5637, f_measure: 0.9092, kappa: 0.1821, kb_relative_information_score: 0.1998, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9021, predictive_accuracy: 0.9261, prior_entropy: 0.3638, recall: 0.9261, relative_absolute_error: 0.5693, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.0698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6155, f_measure: 0.9069, kappa: 0.2506, kb_relative_information_score: 0.0339, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9035, predictive_accuracy: 0.9107, prior_entropy: 0.3638, recall: 0.9107, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2988, root_relative_squared_error: 1.1754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6093, f_measure: 0.913, kappa: 0.2648, kb_relative_information_score: 0.151, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9072, predictive_accuracy: 0.9216, prior_entropy: 0.3638, recall: 0.9216, relative_absolute_error: 0.604, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2801, root_relative_squared_error: 1.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5521, f_measure: 0.9076, kappa: 0.1558, kb_relative_information_score: 0.2095, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9008, predictive_accuracy: 0.927, prior_entropy: 0.3638, recall: 0.927, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2703, root_relative_squared_error: 1.0632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6127, f_measure: 0.9175, kappa: 0.2877, kb_relative_information_score: 0.2193, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9122, predictive_accuracy: 0.9279, prior_entropy: 0.3638, recall: 0.9279, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2686, root_relative_squared_error: 1.0566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.8967, kappa: -0.0018, kb_relative_information_score: 0.2388, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8659, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2652, root_relative_squared_error: 1.0433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6175, f_measure: 0.9094, kappa: 0.2617, kb_relative_information_score: 0.0729, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9052, predictive_accuracy: 0.9143, prior_entropy: 0.3638, recall: 0.9143, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2927, root_relative_squared_error: 1.1514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6103, f_measure: 0.9143, kappa: 0.2711, kb_relative_information_score: 0.1705, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9085, predictive_accuracy: 0.9234, prior_entropy: 0.3638, recall: 0.9234, relative_absolute_error: 0.5901, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2768, root_relative_squared_error: 1.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5632, f_measure: 0.9086, kappa: 0.1791, kb_relative_information_score: 0.19, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.901, predictive_accuracy: 0.9252, prior_entropy: 0.3638, recall: 0.9252, relative_absolute_error: 0.5762, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2736, root_relative_squared_error: 1.0763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5115, f_measure: 0.9, kappa: 0.0407, kb_relative_information_score: 0.2388, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8951, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2652, root_relative_squared_error: 1.0433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5551, f_measure: 0.9112, kappa: 0.1738, kb_relative_information_score: 0.2681, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9117, predictive_accuracy: 0.9324, prior_entropy: 0.3638, recall: 0.9324, relative_absolute_error: 0.5207, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2601, root_relative_squared_error: 1.0231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5481, f_measure: 0.9088, kappa: 0.1518, kb_relative_information_score: 0.2486, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9065, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2635, root_relative_squared_error: 1.0366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.545, f_measure: 0.8811, kappa: 0.0884, kb_relative_information_score: -0.2979, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8822, predictive_accuracy: 0.8801, prior_entropy: 0.3638, recall: 0.8801, relative_absolute_error: 0.9233, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3463, root_relative_squared_error: 1.3624,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6116, f_measure: 0.9233, kappa: 0.3135, kb_relative_information_score: 0.3169, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9228, predictive_accuracy: 0.9369, prior_entropy: 0.3638, recall: 0.9369, relative_absolute_error: 0.486, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2512, root_relative_squared_error: 0.9884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5055, f_measure: 0.8984, kappa: 0.0199, kb_relative_information_score: 0.2388, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8898, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2652, root_relative_squared_error: 1.0433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6125, f_measure: 0.9247, kappa: 0.3217, kb_relative_information_score: 0.3364, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9261, predictive_accuracy: 0.9387, prior_entropy: 0.3638, recall: 0.9387, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.9742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5055, f_measure: 0.8984, kappa: 0.0199, kb_relative_information_score: 0.2388, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8898, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2652, root_relative_squared_error: 1.0433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.8967, kappa: -0.0018, kb_relative_information_score: 0.2388, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8659, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2652, root_relative_squared_error: 1.0433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5065, f_measure: 0.8993, kappa: 0.0239, kb_relative_information_score: 0.2583, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9362, predictive_accuracy: 0.9315, prior_entropy: 0.3638, recall: 0.9315, relative_absolute_error: 0.5276, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2618, root_relative_squared_error: 1.0299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5515, f_measure: 0.9129, kappa: 0.174, kb_relative_information_score: 0.3169, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9339, predictive_accuracy: 0.9369, prior_entropy: 0.3638, recall: 0.9369, relative_absolute_error: 0.486, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2512, root_relative_squared_error: 0.9884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5175, f_measure: 0.9015, kappa: 0.0606, kb_relative_information_score: 0.2388, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8978, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2652, root_relative_squared_error: 1.0433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5512, f_measure: 0.9065, kappa: 0.1502, kb_relative_information_score: 0.19, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8983, predictive_accuracy: 0.9252, prior_entropy: 0.3638, recall: 0.9252, relative_absolute_error: 0.5762, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2736, root_relative_squared_error: 1.0763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.8962, kappa: -0.0035, kb_relative_information_score: 0.2291, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8658, predictive_accuracy: 0.9288, prior_entropy: 0.3638, recall: 0.9288, relative_absolute_error: 0.5484, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2669, root_relative_squared_error: 1.05,

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