Task
Supervised Classification on liver-disorders

Supervised Classification on liver-disorders

Task 8 Supervised Classification liver-disorders 86 runs submitted
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  • basic study_107 study_50 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6506, f_measure: 0.6385, kappa: 0.2554, kb_relative_information_score: 42.5201, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6376, predictive_accuracy: 0.6406, prior_entropy: 0.9818, recall: 0.6406, relative_absolute_error: 0.8891, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4826, root_relative_squared_error: 0.9778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.7186, kappa: 0.4189, kb_relative_information_score: 83.7335, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.7235, predictive_accuracy: 0.7246, prior_entropy: 0.9818, recall: 0.7246, relative_absolute_error: 0.7817, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.443, root_relative_squared_error: 0.8975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6455, f_measure: 0.6417, kappa: 0.2603, kb_relative_information_score: 55.31, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6414, predictive_accuracy: 0.6464, prior_entropy: 0.9818, recall: 0.6464, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4908, root_relative_squared_error: 0.9944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5998, f_measure: 0.5718, kappa: 0.123, kb_relative_information_score: 8.6267, mean_absolute_error: 0.4755, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.5727, predictive_accuracy: 0.571, prior_entropy: 0.9818, recall: 0.571, relative_absolute_error: 0.9757, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4906, root_relative_squared_error: 0.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.5764, kappa: 0.1537, kb_relative_information_score: 20.5151, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.5908, predictive_accuracy: 0.5739, prior_entropy: 0.9818, recall: 0.5739, relative_absolute_error: 0.9397, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, f_measure: 0.5899, kappa: 0.1531, kb_relative_information_score: 41.474, mean_absolute_error: 0.4293, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.5891, predictive_accuracy: 0.5971, prior_entropy: 0.9818, recall: 0.5971, relative_absolute_error: 0.8809, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5548, root_relative_squared_error: 1.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7115, f_measure: 0.6812, kappa: 0.3457, kb_relative_information_score: 113.9174, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6812, predictive_accuracy: 0.6812, prior_entropy: 0.9818, recall: 0.6812, relative_absolute_error: 0.6662, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5224, root_relative_squared_error: 1.0584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6736, f_measure: 0.6437, kappa: 0.2642, kb_relative_information_score: 54.6157, mean_absolute_error: 0.4168, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.644, predictive_accuracy: 0.6493, prior_entropy: 0.9818, recall: 0.6493, relative_absolute_error: 0.8552, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6196, f_measure: 0.6195, kappa: 0.2187, kb_relative_information_score: 17.776, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6313, predictive_accuracy: 0.6377, prior_entropy: 0.9818, recall: 0.6377, relative_absolute_error: 0.9577, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5869, f_measure: 0.5393, kappa: 0.0527, kb_relative_information_score: 3.3541, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.5409, predictive_accuracy: 0.5594, prior_entropy: 0.9818, recall: 0.5594, relative_absolute_error: 0.9849, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4966, root_relative_squared_error: 1.0061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4914, f_measure: 0.4255, kb_relative_information_score: -0.0465, mean_absolute_error: 0.4874, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.3361, predictive_accuracy: 0.5797, prior_entropy: 0.9818, recall: 0.5797, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.6497, kappa: 0.2823, kb_relative_information_score: 68.7678, mean_absolute_error: 0.3919, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6503, predictive_accuracy: 0.6493, prior_entropy: 0.9818, recall: 0.6493, relative_absolute_error: 0.8041, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.0311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6377, f_measure: 0.6025, kappa: 0.1791, kb_relative_information_score: 40.1539, mean_absolute_error: 0.4336, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6017, predictive_accuracy: 0.6087, prior_entropy: 0.9818, recall: 0.6087, relative_absolute_error: 0.8897, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5672, f_measure: 0.4405, kappa: 0.0066, kb_relative_information_score: 45.9945, mean_absolute_error: 0.4165, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.547, predictive_accuracy: 0.5797, prior_entropy: 0.9818, recall: 0.5797, relative_absolute_error: 0.8546, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6196, root_relative_squared_error: 1.2553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7282, f_measure: 0.6919, kappa: 0.364, kb_relative_information_score: 82.2018, mean_absolute_error: 0.3806, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6924, predictive_accuracy: 0.6957, prior_entropy: 0.9818, recall: 0.6957, relative_absolute_error: 0.781, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7387, f_measure: 0.6555, kappa: 0.3006, kb_relative_information_score: 38.8512, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6929, predictive_accuracy: 0.6812, prior_entropy: 0.9818, recall: 0.6812, relative_absolute_error: 0.9097, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4914, f_measure: 0.4255, kb_relative_information_score: -0.0465, mean_absolute_error: 0.4874, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.3361, predictive_accuracy: 0.5797, prior_entropy: 0.9818, recall: 0.5797, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5655, f_measure: 0.5977, kappa: 0.1713, kb_relative_information_score: 21.8546, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.5965, predictive_accuracy: 0.6, prior_entropy: 0.9818, recall: 0.6, relative_absolute_error: 0.9414, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5131, root_relative_squared_error: 1.0395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4914, f_measure: 0.4255, kb_relative_information_score: 0.0386, mean_absolute_error: 0.4873, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.3361, predictive_accuracy: 0.5797, prior_entropy: 0.9818, recall: 0.5797, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6235, f_measure: 0.5899, kappa: 0.1531, kb_relative_information_score: 43.3805, mean_absolute_error: 0.4267, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.5891, predictive_accuracy: 0.5971, prior_entropy: 0.9818, recall: 0.5971, relative_absolute_error: 0.8755, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4953, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, f_measure: 0.6054, kappa: 0.2025, kb_relative_information_score: 29.391, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6132, predictive_accuracy: 0.6029, prior_entropy: 0.9818, recall: 0.6029, relative_absolute_error: 0.9223, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4835, root_relative_squared_error: 0.9794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, f_measure: 0.6684, kappa: 0.3155, kb_relative_information_score: 83.9446, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6685, predictive_accuracy: 0.6725, prior_entropy: 0.9818, recall: 0.6725, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5202, root_relative_squared_error: 1.0538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6341, f_measure: 0.5503, kappa: 0.1626, kb_relative_information_score: 18.4193, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6135, predictive_accuracy: 0.5594, prior_entropy: 0.9818, recall: 0.5594, relative_absolute_error: 0.9425, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5082, root_relative_squared_error: 1.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.4241, kappa: -0.0058, kb_relative_information_score: 42.0543, mean_absolute_error: 0.4232, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.3354, predictive_accuracy: 0.5768, prior_entropy: 0.9818, recall: 0.5768, relative_absolute_error: 0.8683, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6505, root_relative_squared_error: 1.3179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, f_measure: 0.6961, kappa: 0.3725, kb_relative_information_score: 79.7495, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6985, predictive_accuracy: 0.7014, prior_entropy: 0.9818, recall: 0.7014, relative_absolute_error: 0.7921, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.8996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.6497, kappa: 0.278, kb_relative_information_score: 61.6717, mean_absolute_error: 0.4034, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6489, predictive_accuracy: 0.6522, prior_entropy: 0.9818, recall: 0.6522, relative_absolute_error: 0.8277, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4833, root_relative_squared_error: 0.9791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, f_measure: 0.5392, kappa: 0.1498, kb_relative_information_score: 16.249, mean_absolute_error: 0.4621, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6085, predictive_accuracy: 0.5507, prior_entropy: 0.9818, recall: 0.5507, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, f_measure: 0.6684, kappa: 0.3155, kb_relative_information_score: 83.9446, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6685, predictive_accuracy: 0.6725, prior_entropy: 0.9818, recall: 0.6725, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5202, root_relative_squared_error: 1.0538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4255, kb_relative_information_score: 44.1288, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.3361, predictive_accuracy: 0.5797, prior_entropy: 0.9818, recall: 0.5797, relative_absolute_error: 0.8624, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6483, root_relative_squared_error: 1.3134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4255, kb_relative_information_score: 44.1288, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.3361, predictive_accuracy: 0.5797, prior_entropy: 0.9818, recall: 0.5797, relative_absolute_error: 0.8624, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6483, root_relative_squared_error: 1.3134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6306, f_measure: 0.5453, kappa: 0.1501, kb_relative_information_score: 14.7708, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6047, predictive_accuracy: 0.5536, prior_entropy: 0.9818, recall: 0.5536, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.0209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5883, f_measure: 0.613, kappa: 0.2036, kb_relative_information_score: 68.6525, mean_absolute_error: 0.3862, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6121, predictive_accuracy: 0.6145, prior_entropy: 0.9818, recall: 0.6145, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6189, root_relative_squared_error: 1.2539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, f_measure: 0.6684, kappa: 0.3155, kb_relative_information_score: 83.9446, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6685, predictive_accuracy: 0.6725, prior_entropy: 0.9818, recall: 0.6725, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5202, root_relative_squared_error: 1.0538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, f_measure: 0.6961, kappa: 0.3725, kb_relative_information_score: 79.7495, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6985, predictive_accuracy: 0.7014, prior_entropy: 0.9818, recall: 0.7014, relative_absolute_error: 0.7921, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.8996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5327, f_measure: 0.5422, kappa: 0.0631, kb_relative_information_score: 5.4621, mean_absolute_error: 0.4801, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.548, predictive_accuracy: 0.5681, prior_entropy: 0.9818, recall: 0.5681, relative_absolute_error: 0.9851, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4959, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.5764, kappa: 0.1537, kb_relative_information_score: 20.5151, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.5908, predictive_accuracy: 0.5739, prior_entropy: 0.9818, recall: 0.5739, relative_absolute_error: 0.9397, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, f_measure: 0.5392, kappa: 0.1498, kb_relative_information_score: 16.249, mean_absolute_error: 0.4621, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6085, predictive_accuracy: 0.5507, prior_entropy: 0.9818, recall: 0.5507, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4914, f_measure: 0.4255, kb_relative_information_score: 1.4694, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.3361, predictive_accuracy: 0.5797, prior_entropy: 0.9818, recall: 0.5797, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7053, f_measure: 0.7207, kappa: 0.4234, kb_relative_information_score: 149.9263, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.7273, predictive_accuracy: 0.7275, prior_entropy: 0.9818, recall: 0.7275, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.522, root_relative_squared_error: 1.0575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6539, f_measure: 0.6701, kappa: 0.3199, kb_relative_information_score: 116.7349, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6787, predictive_accuracy: 0.6812, prior_entropy: 0.9818, recall: 0.6812, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5647, root_relative_squared_error: 1.1439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, f_measure: 0.6705, kappa: 0.3196, kb_relative_information_score: 112.586, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6713, predictive_accuracy: 0.6754, prior_entropy: 0.9818, recall: 0.6754, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5698, root_relative_squared_error: 1.1543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, f_measure: 0.6705, kappa: 0.3196, kb_relative_information_score: 112.586, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6713, predictive_accuracy: 0.6754, prior_entropy: 0.9818, recall: 0.6754, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5698, root_relative_squared_error: 1.1543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6642, f_measure: 0.6803, kappa: 0.3404, kb_relative_information_score: 122.9583, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6877, predictive_accuracy: 0.6899, prior_entropy: 0.9818, recall: 0.6899, relative_absolute_error: 0.6364, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5569, root_relative_squared_error: 1.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, f_measure: 0.6705, kappa: 0.3196, kb_relative_information_score: 112.586, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6713, predictive_accuracy: 0.6754, prior_entropy: 0.9818, recall: 0.6754, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5698, root_relative_squared_error: 1.1543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6642, f_measure: 0.6803, kappa: 0.3404, kb_relative_information_score: 122.9583, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6877, predictive_accuracy: 0.6899, prior_entropy: 0.9818, recall: 0.6899, relative_absolute_error: 0.6364, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5569, root_relative_squared_error: 1.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, f_measure: 0.6705, kappa: 0.3196, kb_relative_information_score: 112.586, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6713, predictive_accuracy: 0.6754, prior_entropy: 0.9818, recall: 0.6754, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5698, root_relative_squared_error: 1.1543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6642, f_measure: 0.6803, kappa: 0.3404, kb_relative_information_score: 122.9583, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6877, predictive_accuracy: 0.6899, prior_entropy: 0.9818, recall: 0.6899, relative_absolute_error: 0.6364, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5569, root_relative_squared_error: 1.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, f_measure: 0.6705, kappa: 0.3196, kb_relative_information_score: 112.586, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6713, predictive_accuracy: 0.6754, prior_entropy: 0.9818, recall: 0.6754, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5698, root_relative_squared_error: 1.1543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6642, f_measure: 0.6803, kappa: 0.3404, kb_relative_information_score: 122.9583, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6877, predictive_accuracy: 0.6899, prior_entropy: 0.9818, recall: 0.6899, relative_absolute_error: 0.6364, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5569, root_relative_squared_error: 1.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, f_measure: 0.6705, kappa: 0.3196, kb_relative_information_score: 112.586, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6713, predictive_accuracy: 0.6754, prior_entropy: 0.9818, recall: 0.6754, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5698, root_relative_squared_error: 1.1543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6642, f_measure: 0.6803, kappa: 0.3404, kb_relative_information_score: 122.9583, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6877, predictive_accuracy: 0.6899, prior_entropy: 0.9818, recall: 0.6899, relative_absolute_error: 0.6364, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5569, root_relative_squared_error: 1.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, f_measure: 0.6705, kappa: 0.3196, kb_relative_information_score: 112.586, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6713, predictive_accuracy: 0.6754, prior_entropy: 0.9818, recall: 0.6754, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5698, root_relative_squared_error: 1.1543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6642, f_measure: 0.6803, kappa: 0.3404, kb_relative_information_score: 122.9583, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4874, number_of_instances: 345, precision: 0.6877, predictive_accuracy: 0.6899, prior_entropy: 0.9818, recall: 0.6899, relative_absolute_error: 0.6364, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5569, root_relative_squared_error: 1.1282,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

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