Task
Supervised Classification on eucalyptus

Supervised Classification on eucalyptus

Task 2079 Supervised Classification eucalyptus 19502 runs submitted
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  • at2 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_70 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.6509, kappa: 0.5588, kb_relative_information_score: 0.5138, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6603, number_of_instances: 736, precision: 0.6615, predictive_accuracy: 0.6603, prior_entropy: 2.2621, relative_absolute_error: 0.6219, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.7669, unweighted_recall: 0.6135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.6623, kappa: 0.5726, kb_relative_information_score: 0.5568, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6698, number_of_instances: 736, precision: 0.6682, predictive_accuracy: 0.6698, prior_entropy: 2.2621, relative_absolute_error: 0.5673, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.7441, unweighted_recall: 0.6297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8435, f_measure: 0.4357, kappa: 0.2909, kb_relative_information_score: 0.261, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.3132, weighted_recall: 0.4783, number_of_instances: 736, precision: 0.5513, predictive_accuracy: 0.4783, prior_entropy: 2.2621, relative_absolute_error: 0.8115, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.8851, unweighted_recall: 0.3914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.6429, kappa: 0.5496, kb_relative_information_score: 0.5494, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6522, number_of_instances: 736, precision: 0.646, predictive_accuracy: 0.6522, prior_entropy: 2.2621, relative_absolute_error: 0.572, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.7523, unweighted_recall: 0.6078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.6327, kappa: 0.5368, kb_relative_information_score: 0.5336, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6427, number_of_instances: 736, precision: 0.6406, predictive_accuracy: 0.6427, prior_entropy: 2.2621, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.7621, unweighted_recall: 0.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5155, kappa: 0.028, kb_relative_information_score: 0.0083, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.3132, weighted_recall: 0.3098, number_of_instances: 736, predictive_accuracy: 0.3098, prior_entropy: 2.2621, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.9969, unweighted_recall: 0.2156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.622, kappa: 0.5195, kb_relative_information_score: 0.5267, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6277, number_of_instances: 736, precision: 0.624, predictive_accuracy: 0.6277, prior_entropy: 2.2621, relative_absolute_error: 0.5881, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3045, root_relative_squared_error: 0.7696, unweighted_recall: 0.5874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.6405, kappa: 0.5513, kb_relative_information_score: 0.5327, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6549, number_of_instances: 736, precision: 0.6492, predictive_accuracy: 0.6549, prior_entropy: 2.2621, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.7579, unweighted_recall: 0.6044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.6402, kappa: 0.5488, kb_relative_information_score: 0.5482, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6522, number_of_instances: 736, precision: 0.6508, predictive_accuracy: 0.6522, prior_entropy: 2.2621, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.297, root_relative_squared_error: 0.7506, unweighted_recall: 0.6023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.6322, kappa: 0.5336, kb_relative_information_score: 0.542, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6399, number_of_instances: 736, precision: 0.6418, predictive_accuracy: 0.6399, prior_entropy: 2.2621, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.7588, unweighted_recall: 0.5952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.6502, kappa: 0.5572, kb_relative_information_score: 0.5464, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6576, number_of_instances: 736, precision: 0.6531, predictive_accuracy: 0.6576, prior_entropy: 2.2621, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.7559, unweighted_recall: 0.6162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.5936, kappa: 0.4784, kb_relative_information_score: 0.4735, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5938, number_of_instances: 736, precision: 0.6072, predictive_accuracy: 0.5938, prior_entropy: 2.2621, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.8094, unweighted_recall: 0.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.5436, kappa: 0.4234, kb_relative_information_score: 0.3752, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5625, number_of_instances: 736, precision: 0.575, predictive_accuracy: 0.5625, prior_entropy: 2.2621, relative_absolute_error: 0.7246, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.8373, unweighted_recall: 0.4994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.6611, kappa: 0.5741, kb_relative_information_score: 0.5311, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6726, number_of_instances: 736, precision: 0.6775, predictive_accuracy: 0.6726, prior_entropy: 2.2621, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.7549, unweighted_recall: 0.6219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.6582, kappa: 0.5687, kb_relative_information_score: 0.5508, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6671, number_of_instances: 736, precision: 0.6624, predictive_accuracy: 0.6671, prior_entropy: 2.2621, relative_absolute_error: 0.5722, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.7512, unweighted_recall: 0.6234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.6508, kappa: 0.5586, kb_relative_information_score: 0.5036, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6603, number_of_instances: 736, precision: 0.6642, predictive_accuracy: 0.6603, prior_entropy: 2.2621, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.7762, unweighted_recall: 0.6116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.6563, kappa: 0.5656, kb_relative_information_score: 0.5501, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6644, number_of_instances: 736, precision: 0.661, predictive_accuracy: 0.6644, prior_entropy: 2.2621, relative_absolute_error: 0.5751, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.7491, unweighted_recall: 0.6232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.5607, kappa: 0.4445, kb_relative_information_score: 0.4036, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5761, number_of_instances: 736, precision: 0.584, predictive_accuracy: 0.5761, prior_entropy: 2.2621, relative_absolute_error: 0.7011, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.8266, unweighted_recall: 0.5171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.6433, kappa: 0.5541, kb_relative_information_score: 0.5141, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6576, number_of_instances: 736, precision: 0.6551, predictive_accuracy: 0.6576, prior_entropy: 2.2621, relative_absolute_error: 0.6158, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.7679, unweighted_recall: 0.6032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.6556, kappa: 0.5663, kb_relative_information_score: 0.5473, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6658, number_of_instances: 736, precision: 0.6634, predictive_accuracy: 0.6658, prior_entropy: 2.2621, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.7536, unweighted_recall: 0.6191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.5918, kappa: 0.476, kb_relative_information_score: 0.4788, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5924, number_of_instances: 736, precision: 0.6073, predictive_accuracy: 0.5924, prior_entropy: 2.2621, relative_absolute_error: 0.6472, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.8066, unweighted_recall: 0.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.5731, kappa: 0.4557, kb_relative_information_score: 0.431, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5802, number_of_instances: 736, precision: 0.6013, predictive_accuracy: 0.5802, prior_entropy: 2.2621, relative_absolute_error: 0.6972, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.323, root_relative_squared_error: 0.8163, unweighted_recall: 0.5291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.5638, kappa: 0.4425, kb_relative_information_score: 0.4489, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5639, number_of_instances: 736, precision: 0.569, predictive_accuracy: 0.5639, prior_entropy: 2.2621, relative_absolute_error: 0.6494, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.8975, unweighted_recall: 0.5357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.6326, kappa: 0.5368, kb_relative_information_score: 0.5329, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6427, number_of_instances: 736, precision: 0.6396, predictive_accuracy: 0.6427, prior_entropy: 2.2621, relative_absolute_error: 0.5842, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.7625, unweighted_recall: 0.5952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.6503, kappa: 0.5605, kb_relative_information_score: 0.5458, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6617, number_of_instances: 736, precision: 0.6586, predictive_accuracy: 0.6617, prior_entropy: 2.2621, relative_absolute_error: 0.579, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.7513, unweighted_recall: 0.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, kappa: 0.1522, kb_relative_information_score: 0.1072, mean_absolute_error: 0.2908, mean_prior_absolute_error: 0.3132, weighted_recall: 0.394, number_of_instances: 736, predictive_accuracy: 0.394, prior_entropy: 2.2621, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.9537, unweighted_recall: 0.2869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.6564, kappa: 0.566, kb_relative_information_score: 0.5318, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6658, number_of_instances: 736, precision: 0.666, predictive_accuracy: 0.6658, prior_entropy: 2.2621, relative_absolute_error: 0.5997, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.301, root_relative_squared_error: 0.7608, unweighted_recall: 0.6198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.6117, kappa: 0.5049, kb_relative_information_score: 0.4982, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6168, number_of_instances: 736, precision: 0.6202, predictive_accuracy: 0.6168, prior_entropy: 2.2621, relative_absolute_error: 0.6236, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.312, root_relative_squared_error: 0.7885, unweighted_recall: 0.5765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.6624, kappa: 0.5724, kb_relative_information_score: 0.5604, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6698, number_of_instances: 736, precision: 0.6689, predictive_accuracy: 0.6698, prior_entropy: 2.2621, relative_absolute_error: 0.5605, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.7418, unweighted_recall: 0.6283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.5376, kappa: 0.4165, kb_relative_information_score: 0.3654, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5584, number_of_instances: 736, precision: 0.5739, predictive_accuracy: 0.5584, prior_entropy: 2.2621, relative_absolute_error: 0.7325, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.8412, unweighted_recall: 0.4936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.652, kappa: 0.5611, kb_relative_information_score: 0.548, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6617, number_of_instances: 736, precision: 0.6595, predictive_accuracy: 0.6617, prior_entropy: 2.2621, relative_absolute_error: 0.5687, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.7525, unweighted_recall: 0.6158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.6012, kappa: 0.4904, kb_relative_information_score: 0.4875, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6046, number_of_instances: 736, precision: 0.6112, predictive_accuracy: 0.6046, prior_entropy: 2.2621, relative_absolute_error: 0.6372, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3153, root_relative_squared_error: 0.7967, unweighted_recall: 0.5678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.6608, kappa: 0.572, kb_relative_information_score: 0.5528, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6698, number_of_instances: 736, precision: 0.6678, predictive_accuracy: 0.6698, prior_entropy: 2.2621, relative_absolute_error: 0.5705, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.7473, unweighted_recall: 0.6265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.6405, kappa: 0.5513, kb_relative_information_score: 0.5324, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6549, number_of_instances: 736, precision: 0.6492, predictive_accuracy: 0.6549, prior_entropy: 2.2621, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3, root_relative_squared_error: 0.7581, unweighted_recall: 0.6044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.6568, kappa: 0.5667, kb_relative_information_score: 0.5523, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6658, number_of_instances: 736, precision: 0.6641, predictive_accuracy: 0.6658, prior_entropy: 2.2621, relative_absolute_error: 0.5706, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.296, root_relative_squared_error: 0.748, unweighted_recall: 0.6227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.5927, kappa: 0.482, kb_relative_information_score: 0.4669, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6005, number_of_instances: 736, precision: 0.5994, predictive_accuracy: 0.6005, prior_entropy: 2.2621, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.802, unweighted_recall: 0.5536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.4235, kappa: 0.2827, kb_relative_information_score: 0.2241, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.3132, weighted_recall: 0.4742, number_of_instances: 736, precision: 0.5506, predictive_accuracy: 0.4742, prior_entropy: 2.2621, relative_absolute_error: 0.8425, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.8968, unweighted_recall: 0.3813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.6463, kappa: 0.5537, kb_relative_information_score: 0.5349, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6563, number_of_instances: 736, precision: 0.6543, predictive_accuracy: 0.6563, prior_entropy: 2.2621, relative_absolute_error: 0.5953, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.7587, unweighted_recall: 0.6084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.5924, kappa: 0.4753, kb_relative_information_score: 0.4854, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.3132, weighted_recall: 0.591, number_of_instances: 736, precision: 0.6108, predictive_accuracy: 0.591, prior_entropy: 2.2621, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.8023, unweighted_recall: 0.5609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.6559, kappa: 0.5647, kb_relative_information_score: 0.5372, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6644, number_of_instances: 736, precision: 0.6636, predictive_accuracy: 0.6644, prior_entropy: 2.2621, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.7567, unweighted_recall: 0.6196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, f_measure: 0.3277, kappa: 0.183, kb_relative_information_score: 0.1578, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.3132, weighted_recall: 0.413, number_of_instances: 736, precision: 0.6028, predictive_accuracy: 0.413, prior_entropy: 2.2621, relative_absolute_error: 0.8896, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.9316, unweighted_recall: 0.3089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.6674, kappa: 0.5795, kb_relative_information_score: 0.5678, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6753, number_of_instances: 736, precision: 0.6748, predictive_accuracy: 0.6753, prior_entropy: 2.2621, relative_absolute_error: 0.5496, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.74, unweighted_recall: 0.6325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.6065, kappa: 0.4983, kb_relative_information_score: 0.499, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6114, number_of_instances: 736, precision: 0.6146, predictive_accuracy: 0.6114, prior_entropy: 2.2621, relative_absolute_error: 0.6227, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.7879, unweighted_recall: 0.5718,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.6426, kappa: 0.5533, kb_relative_information_score: 0.5288, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6563, number_of_instances: 736, precision: 0.6509, predictive_accuracy: 0.6563, prior_entropy: 2.2621, relative_absolute_error: 0.5974, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.7597, unweighted_recall: 0.6069,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.5091, kappa: 0.3782, kb_relative_information_score: 0.2738, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5326, number_of_instances: 736, precision: 0.566, predictive_accuracy: 0.5326, prior_entropy: 2.2621, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.8745, unweighted_recall: 0.4585,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.5941, kappa: 0.4773, kb_relative_information_score: 0.4825, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5924, number_of_instances: 736, precision: 0.6128, predictive_accuracy: 0.5924, prior_entropy: 2.2621, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.8033, unweighted_recall: 0.5624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.5743, kappa: 0.4537, kb_relative_information_score: 0.4192, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5774, number_of_instances: 736, precision: 0.6003, predictive_accuracy: 0.5774, prior_entropy: 2.2621, relative_absolute_error: 0.716, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.8234, unweighted_recall: 0.5303,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.5836, kappa: 0.4711, kb_relative_information_score: 0.4246, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5951, number_of_instances: 736, precision: 0.6027, predictive_accuracy: 0.5951, prior_entropy: 2.2621, relative_absolute_error: 0.6826, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.324, root_relative_squared_error: 0.8188, unweighted_recall: 0.54,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.6454, kappa: 0.5568, kb_relative_information_score: 0.5252, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.3132, weighted_recall: 0.659, number_of_instances: 736, precision: 0.6532, predictive_accuracy: 0.659, prior_entropy: 2.2621, relative_absolute_error: 0.6015, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.7614, unweighted_recall: 0.6097,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.6029, kappa: 0.4952, kb_relative_information_score: 0.4832, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6101, number_of_instances: 736, precision: 0.6077, predictive_accuracy: 0.6101, prior_entropy: 2.2621, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.7942, unweighted_recall: 0.5642,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.6549, kappa: 0.5641, kb_relative_information_score: 0.561, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.3132, weighted_recall: 0.663, number_of_instances: 736, precision: 0.6601, predictive_accuracy: 0.663, prior_entropy: 2.2621, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.7452, unweighted_recall: 0.6219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.6147, kappa: 0.5092, kb_relative_information_score: 0.5168, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6196, number_of_instances: 736, precision: 0.6224, predictive_accuracy: 0.6196, prior_entropy: 2.2621, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.7755, unweighted_recall: 0.5783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.6606, kappa: 0.5715, kb_relative_information_score: 0.5524, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6698, number_of_instances: 736, precision: 0.6699, predictive_accuracy: 0.6698, prior_entropy: 2.2621, relative_absolute_error: 0.5685, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.296, root_relative_squared_error: 0.7481, unweighted_recall: 0.6246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.66, kappa: 0.5724, kb_relative_information_score: 0.5323, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6712, number_of_instances: 736, precision: 0.6728, predictive_accuracy: 0.6712, prior_entropy: 2.2621, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.7591, unweighted_recall: 0.6214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.58, kappa: 0.4649, kb_relative_information_score: 0.4349, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.3132, weighted_recall: 0.587, number_of_instances: 736, precision: 0.6055, predictive_accuracy: 0.587, prior_entropy: 2.2621, relative_absolute_error: 0.6914, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.8139, unweighted_recall: 0.5374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.5834, kappa: 0.4686, kb_relative_information_score: 0.4365, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5897, number_of_instances: 736, precision: 0.6092, predictive_accuracy: 0.5897, prior_entropy: 2.2621, relative_absolute_error: 0.6902, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.8122, unweighted_recall: 0.5408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.5916, kappa: 0.4741, kb_relative_information_score: 0.4809, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5897, number_of_instances: 736, precision: 0.6092, predictive_accuracy: 0.5897, prior_entropy: 2.2621, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.8053, unweighted_recall: 0.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.6516, kappa: 0.5601, kb_relative_information_score: 0.5027, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6617, number_of_instances: 736, precision: 0.6648, predictive_accuracy: 0.6617, prior_entropy: 2.2621, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3064, root_relative_squared_error: 0.7742, unweighted_recall: 0.6134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.6453, kappa: 0.5529, kb_relative_information_score: 0.5512, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6549, number_of_instances: 736, precision: 0.6483, predictive_accuracy: 0.6549, prior_entropy: 2.2621, relative_absolute_error: 0.5698, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.7517, unweighted_recall: 0.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.6642, kappa: 0.5762, kb_relative_information_score: 0.5734, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6726, number_of_instances: 736, precision: 0.6689, predictive_accuracy: 0.6726, prior_entropy: 2.2621, relative_absolute_error: 0.5436, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.7351, unweighted_recall: 0.6289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.6675, kappa: 0.5795, kb_relative_information_score: 0.5666, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6753, number_of_instances: 736, precision: 0.6722, predictive_accuracy: 0.6753, prior_entropy: 2.2621, relative_absolute_error: 0.5527, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.7394, unweighted_recall: 0.6332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.591, kappa: 0.4801, kb_relative_information_score: 0.4423, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6005, number_of_instances: 736, precision: 0.6036, predictive_accuracy: 0.6005, prior_entropy: 2.2621, relative_absolute_error: 0.6663, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.8121, unweighted_recall: 0.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.5926, kappa: 0.4771, kb_relative_information_score: 0.4667, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5924, number_of_instances: 736, precision: 0.6033, predictive_accuracy: 0.5924, prior_entropy: 2.2621, relative_absolute_error: 0.6624, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.8131, unweighted_recall: 0.5629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6041, kappa: 0.116, kb_relative_information_score: 0.0457, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.3132, weighted_recall: 0.3696, number_of_instances: 736, predictive_accuracy: 0.3696, prior_entropy: 2.2621, relative_absolute_error: 0.9717, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.9809, unweighted_recall: 0.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.5863, kappa: 0.467, kb_relative_information_score: 0.474, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5842, number_of_instances: 736, precision: 0.6022, predictive_accuracy: 0.5842, prior_entropy: 2.2621, relative_absolute_error: 0.6509, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.8067, unweighted_recall: 0.5534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.3176, kappa: 0.1786, kb_relative_information_score: 0.1247, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.3132, weighted_recall: 0.4117, number_of_instances: 736, precision: 0.7618, predictive_accuracy: 0.4117, prior_entropy: 2.2621, relative_absolute_error: 0.9154, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.9461, unweighted_recall: 0.3044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.6514, kappa: 0.5595, kb_relative_information_score: 0.5532, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6603, number_of_instances: 736, precision: 0.6604, predictive_accuracy: 0.6603, prior_entropy: 2.2621, relative_absolute_error: 0.5655, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.7447, unweighted_recall: 0.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.66, kappa: 0.5722, kb_relative_information_score: 0.5214, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6712, number_of_instances: 736, precision: 0.6729, predictive_accuracy: 0.6712, prior_entropy: 2.2621, relative_absolute_error: 0.6126, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.302, root_relative_squared_error: 0.763, unweighted_recall: 0.621,

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

OpenML APIs