Task
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: 0.5564, f_measure: 0.9004, kappa: 0.1429, kb_relative_information_score: 0.0534, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8912, predictive_accuracy: 0.9125, prior_entropy: 0.3638, recall: 0.9125, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2957, root_relative_squared_error: 1.1635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5564, f_measure: 0.9004, kappa: 0.1429, kb_relative_information_score: 0.0534, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8912, predictive_accuracy: 0.9125, prior_entropy: 0.3638, recall: 0.9125, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2957, root_relative_squared_error: 1.1635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5564, f_measure: 0.9004, kappa: 0.1429, kb_relative_information_score: 0.0534, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8912, predictive_accuracy: 0.9125, prior_entropy: 0.3638, recall: 0.9125, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2957, root_relative_squared_error: 1.1635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5564, f_measure: 0.9004, kappa: 0.1429, kb_relative_information_score: 0.0534, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8912, predictive_accuracy: 0.9125, prior_entropy: 0.3638, recall: 0.9125, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2957, root_relative_squared_error: 1.1635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6161, f_measure: 0.9221, kappa: 0.3131, kb_relative_information_score: 0.2876, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9192, predictive_accuracy: 0.9342, prior_entropy: 0.3638, recall: 0.9342, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2566, root_relative_squared_error: 1.0093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5541, f_measure: 0.91, kappa: 0.1676, kb_relative_information_score: 0.2486, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9073, 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: 0.5461, f_measure: 0.9065, kappa: 0.1403, kb_relative_information_score: 0.2095, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8994, 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: 0.5115, 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: 0.5538, f_measure: 0.9035, kappa: 0.1463, kb_relative_information_score: 0.1217, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8937, predictive_accuracy: 0.9188, prior_entropy: 0.3638, recall: 0.9188, relative_absolute_error: 0.6248, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2849, root_relative_squared_error: 1.1207,
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: 0.5531, f_measure: 0.9088, kappa: 0.1616, kb_relative_information_score: 0.2291, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9037, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.549, f_measure: 0.91, kappa: 0.1578, kb_relative_information_score: 0.2681, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9116, 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: 0.5, 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: 0.5546, f_measure: 0.9106, kappa: 0.1707, kb_relative_information_score: 0.2583, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9094, 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: 0.518, f_measure: 0.902, kappa: 0.0629, kb_relative_information_score: 0.2486, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9029, 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: 0.505, f_measure: 0.8979, kappa: 0.018, kb_relative_information_score: 0.2291, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8839, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5505, f_measure: 0.9117, kappa: 0.1674, kb_relative_information_score: 0.2974, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9226, 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: 0.5617, f_measure: 0.9068, kappa: 0.1706, kb_relative_information_score: 0.1608, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8982, predictive_accuracy: 0.9225, prior_entropy: 0.3638, recall: 0.9225, relative_absolute_error: 0.597, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2785, root_relative_squared_error: 1.0955,
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: 0.6067, f_measure: 0.9167, kappa: 0.2766, kb_relative_information_score: 0.2193, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9113, 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: 0.6484, f_measure: 0.8992, kappa: 0.2649, kb_relative_information_score: -0.1515, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9056, predictive_accuracy: 0.8936, prior_entropy: 0.3638, recall: 0.8936, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3262, root_relative_squared_error: 1.2833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5336, f_measure: 0.9035, kappa: 0.1052, kb_relative_information_score: 0.1998, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8946, 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: 0.5571, f_measure: 0.895, kappa: 0.1316, kb_relative_information_score: -0.0539, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8883, predictive_accuracy: 0.9026, prior_entropy: 0.3638, recall: 0.9026, relative_absolute_error: 0.7498, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3121, root_relative_squared_error: 1.2277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5743, f_measure: 0.89, kappa: 0.1487, kb_relative_information_score: -0.1906, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.89, predictive_accuracy: 0.89, prior_entropy: 0.3638, recall: 0.89, relative_absolute_error: 0.8469, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3317, root_relative_squared_error: 1.3048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5336, f_measure: 0.9035, kappa: 0.1052, kb_relative_information_score: 0.1998, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8946, 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: 0.6125, 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: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, 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: 0.6161, f_measure: 0.9221, kappa: 0.3131, kb_relative_information_score: 0.2876, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9192, predictive_accuracy: 0.9342, prior_entropy: 0.3638, recall: 0.9342, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2566, root_relative_squared_error: 1.0093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5392, f_measure: 0.9042, kappa: 0.1191, kb_relative_information_score: 0.19, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8951, 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: 0.5705, f_measure: 0.8854, kappa: 0.1345, kb_relative_information_score: -0.2686, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8882, predictive_accuracy: 0.8828, prior_entropy: 0.3638, recall: 0.8828, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3424, root_relative_squared_error: 1.3469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5478, f_measure: 0.9024, kappa: 0.1321, kb_relative_information_score: 0.1217, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.892, predictive_accuracy: 0.9188, prior_entropy: 0.3638, recall: 0.9188, relative_absolute_error: 0.6248, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2849, root_relative_squared_error: 1.1207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5341, f_measure: 0.9041, kappa: 0.1077, kb_relative_information_score: 0.2095, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8962, 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: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, 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: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, 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: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, 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: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, 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: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, 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: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, 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: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, 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: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, 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: 0.5805, f_measure: 0.9174, kappa: 0.2428, kb_relative_information_score: 0.2974, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9188, 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: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, 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: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, 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: 0.5805, f_measure: 0.9174, kappa: 0.2428, kb_relative_information_score: 0.2974, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9188, 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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.9135, kappa: 0.1958, kb_relative_information_score: -521.2529, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9169, predictive_accuracy: 0.9342, prior_entropy: 0.3667, recall: 0.9342, relative_absolute_error: 0.8762, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.9353, scimark_benchmark: 1861.4992, usercpu_time_millis: 2.393, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 2.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.9146, kappa: 0.2108, kb_relative_information_score: -413.8912, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9167, predictive_accuracy: 0.9342, prior_entropy: 0.3667, recall: 0.9342, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.233, root_relative_squared_error: 0.9165, scimark_benchmark: 1871.5019, usercpu_time_millis: 2.654, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 2.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.9135, kappa: 0.1958, kb_relative_information_score: -501.3125, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9169, predictive_accuracy: 0.9342, prior_entropy: 0.3667, recall: 0.9342, relative_absolute_error: 0.88, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.932, scimark_benchmark: 1911.2641, usercpu_time_millis: 2.678, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 2.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.9187, kappa: 0.2502, kb_relative_information_score: -425.4449, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9234, predictive_accuracy: 0.9369, prior_entropy: 0.3667, recall: 0.9369, relative_absolute_error: 0.8631, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.9025, scimark_benchmark: 1869.6309, usercpu_time_millis: 5.115, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 4.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.9123, kappa: 0.1892, kb_relative_information_score: -441.217, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.912, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8596, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.9241, scimark_benchmark: 1915.4064, usercpu_time_millis: 3.447, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 3.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5388, kb_relative_information_score: -301.614, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.0227, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2544, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6212, kb_relative_information_score: -594.8996, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.0696, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2535, root_relative_squared_error: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, 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: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, 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: 0.574, f_measure: 0.9157, kappa: 0.2252, kb_relative_information_score: 0.2876, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9167, predictive_accuracy: 0.9342, prior_entropy: 0.3638, recall: 0.9342, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2566, root_relative_squared_error: 1.0093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5731, f_measure: 0.9145, kappa: 0.2183, kb_relative_information_score: 0.2681, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9128, 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: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, 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: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, 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: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, 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: 0.5736, f_measure: 0.9151, kappa: 0.2217, kb_relative_information_score: 0.2779, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9146, 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: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, 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: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, 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: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, 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,

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

OpenML bootcamp

From your own software

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

OpenML APIs