Task
Supervised Classification on profb

Supervised Classification on profb

Task 3561 Supervised Classification profb 12315 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 under100k under1m
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12315 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6134, f_measure: 0.645, kappa: 0.1966, kb_relative_information_score: 81.2329, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6431, predictive_accuracy: 0.6473, prior_entropy: 0.9188, recall: 0.6473, relative_absolute_error: 0.8395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5481, root_relative_squared_error: 1.1627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6181, f_measure: 0.629, kappa: 0.1418, kb_relative_information_score: 47.6, mean_absolute_error: 0.4037, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6242, predictive_accuracy: 0.6518, prior_entropy: 0.9188, recall: 0.6518, relative_absolute_error: 0.9079, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.477, root_relative_squared_error: 1.0119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5892, f_measure: 0.6101, kappa: 0.1007, kb_relative_information_score: 33.2737, mean_absolute_error: 0.4111, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6027, predictive_accuracy: 0.628, prior_entropy: 0.9188, recall: 0.628, relative_absolute_error: 0.9247, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4908, root_relative_squared_error: 1.0411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5854, f_measure: 0.6231, kappa: 0.1343, kb_relative_information_score: 25.1169, mean_absolute_error: 0.4102, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6169, predictive_accuracy: 0.6354, prior_entropy: 0.9188, recall: 0.6354, relative_absolute_error: 0.9227, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.5761, kappa: 0.0281, kb_relative_information_score: 14.6056, mean_absolute_error: 0.4122, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5683, predictive_accuracy: 0.5878, prior_entropy: 0.9188, recall: 0.5878, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.523, root_relative_squared_error: 1.1095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5635, f_measure: 0.5952, kappa: 0.0687, kb_relative_information_score: 18.8058, mean_absolute_error: 0.4116, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5872, predictive_accuracy: 0.6101, prior_entropy: 0.9188, recall: 0.6101, relative_absolute_error: 0.9258, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5258, root_relative_squared_error: 1.1153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5942, f_measure: 0.6269, kappa: 0.1526, kb_relative_information_score: 42.4316, mean_absolute_error: 0.3968, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6236, predictive_accuracy: 0.631, prior_entropy: 0.9188, recall: 0.631, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5337, root_relative_squared_error: 1.1322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6167, f_measure: 0.6259, kappa: 0.1345, kb_relative_information_score: 44.8905, mean_absolute_error: 0.4053, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6206, predictive_accuracy: 0.6488, prior_entropy: 0.9188, recall: 0.6488, relative_absolute_error: 0.9116, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4784, root_relative_squared_error: 1.0149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5993, f_measure: 0.6334, kappa: 0.1682, kb_relative_information_score: 44.4114, mean_absolute_error: 0.3962, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6305, predictive_accuracy: 0.6369, prior_entropy: 0.9188, recall: 0.6369, relative_absolute_error: 0.8911, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5315, root_relative_squared_error: 1.1274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.57, f_measure: 0.6048, kappa: 0.0937, kb_relative_information_score: 18.5367, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5981, predictive_accuracy: 0.6161, prior_entropy: 0.9188, recall: 0.6161, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5159, root_relative_squared_error: 1.0944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5774, f_measure: 0.6158, kappa: 0.1293, kb_relative_information_score: 61.3683, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6131, predictive_accuracy: 0.619, prior_entropy: 0.9188, recall: 0.619, relative_absolute_error: 0.8622, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5805, root_relative_squared_error: 1.2315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5798, f_measure: 0.625, kappa: 0.1563, kb_relative_information_score: 38.0992, mean_absolute_error: 0.4001, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.625, predictive_accuracy: 0.625, prior_entropy: 0.9188, recall: 0.625, relative_absolute_error: 0.8998, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5684, root_relative_squared_error: 1.2058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5957, f_measure: 0.6164, kappa: 0.1151, kb_relative_information_score: 37.0011, mean_absolute_error: 0.4093, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6094, predictive_accuracy: 0.6339, prior_entropy: 0.9188, recall: 0.6339, relative_absolute_error: 0.9207, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4892, root_relative_squared_error: 1.0376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.6379, kappa: 0.1704, kb_relative_information_score: 70.2778, mean_absolute_error: 0.3776, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6327, predictive_accuracy: 0.6473, prior_entropy: 0.9188, recall: 0.6473, relative_absolute_error: 0.8494, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5372, root_relative_squared_error: 1.1395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5924, f_measure: 0.618, kappa: 0.1181, kb_relative_information_score: 36.5122, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6112, predictive_accuracy: 0.6369, prior_entropy: 0.9188, recall: 0.6369, relative_absolute_error: 0.9185, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.491, root_relative_squared_error: 1.0415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.6262, kappa: 0.1554, kb_relative_information_score: 46.073, mean_absolute_error: 0.3952, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6247, predictive_accuracy: 0.628, prior_entropy: 0.9188, recall: 0.628, relative_absolute_error: 0.8888, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5446, root_relative_squared_error: 1.1553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6176, f_measure: 0.621, kappa: 0.1229, kb_relative_information_score: 45.5739, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6156, predictive_accuracy: 0.6458, prior_entropy: 0.9188, recall: 0.6458, relative_absolute_error: 0.9101, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.479, root_relative_squared_error: 1.0161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5752, f_measure: 0.615, kappa: 0.1237, kb_relative_information_score: 34.0568, mean_absolute_error: 0.4039, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6109, predictive_accuracy: 0.6205, prior_entropy: 0.9188, recall: 0.6205, relative_absolute_error: 0.9084, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5269, root_relative_squared_error: 1.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6004, f_measure: 0.6034, kappa: 0.0828, kb_relative_information_score: 37.1834, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5954, predictive_accuracy: 0.6265, prior_entropy: 0.9188, recall: 0.6265, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4858, root_relative_squared_error: 1.0305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, f_measure: 0.6212, kappa: 0.1491, kb_relative_information_score: 63.3024, mean_absolute_error: 0.3829, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6218, predictive_accuracy: 0.6205, prior_entropy: 0.9188, recall: 0.6205, relative_absolute_error: 0.8611, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5912, root_relative_squared_error: 1.2542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5906, f_measure: 0.6149, kappa: 0.1108, kb_relative_information_score: 35.5232, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6078, predictive_accuracy: 0.6339, prior_entropy: 0.9188, recall: 0.6339, relative_absolute_error: 0.9201, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4917, root_relative_squared_error: 1.0431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, f_measure: 0.6235, kappa: 0.1304, kb_relative_information_score: 35.3154, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6173, predictive_accuracy: 0.6429, prior_entropy: 0.9188, recall: 0.6429, relative_absolute_error: 0.9233, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4904, root_relative_squared_error: 1.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5938, f_measure: 0.6356, kappa: 0.1744, kb_relative_information_score: 83.3204, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6332, predictive_accuracy: 0.6384, prior_entropy: 0.9188, recall: 0.6384, relative_absolute_error: 0.8329, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5768, root_relative_squared_error: 1.2235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5725, f_measure: 0.601, kappa: 0.0935, kb_relative_information_score: 25.9636, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5973, predictive_accuracy: 0.6057, prior_entropy: 0.9188, recall: 0.6057, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5281, root_relative_squared_error: 1.1203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6007, f_measure: 0.6213, kappa: 0.1409, kb_relative_information_score: 47.3801, mean_absolute_error: 0.3949, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6184, predictive_accuracy: 0.625, prior_entropy: 0.9188, recall: 0.625, relative_absolute_error: 0.8882, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.521, root_relative_squared_error: 1.1051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5923, f_measure: 0.6121, kappa: 0.1054, kb_relative_information_score: 34.9362, mean_absolute_error: 0.4103, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6048, predictive_accuracy: 0.6295, prior_entropy: 0.9188, recall: 0.6295, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4897, root_relative_squared_error: 1.0389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6194, f_measure: 0.6247, kappa: 0.1319, kb_relative_information_score: 45.9891, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6192, predictive_accuracy: 0.6473, prior_entropy: 0.9188, recall: 0.6473, relative_absolute_error: 0.9099, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4778, root_relative_squared_error: 1.0135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.6137, kappa: 0.1069, kb_relative_information_score: 42.5723, mean_absolute_error: 0.4058, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6067, predictive_accuracy: 0.6354, prior_entropy: 0.9188, recall: 0.6354, relative_absolute_error: 0.9127, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4829, root_relative_squared_error: 1.0244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6183, f_measure: 0.621, kappa: 0.1229, kb_relative_information_score: 45.9479, mean_absolute_error: 0.4043, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6156, predictive_accuracy: 0.6458, prior_entropy: 0.9188, recall: 0.6458, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4789, root_relative_squared_error: 1.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6229, f_measure: 0.6301, kappa: 0.1659, kb_relative_information_score: 61.435, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6293, predictive_accuracy: 0.631, prior_entropy: 0.9188, recall: 0.631, relative_absolute_error: 0.8668, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5224, root_relative_squared_error: 1.1082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.568, f_measure: 0.6077, kappa: 0.1076, kb_relative_information_score: 26.1147, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6036, predictive_accuracy: 0.6131, prior_entropy: 0.9188, recall: 0.6131, relative_absolute_error: 0.9164, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5306, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.589, f_measure: 0.6212, kappa: 0.1457, kb_relative_information_score: 38.5782, mean_absolute_error: 0.3995, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6203, predictive_accuracy: 0.622, prior_entropy: 0.9188, recall: 0.622, relative_absolute_error: 0.8985, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5439, root_relative_squared_error: 1.1537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6017, f_measure: 0.6025, kappa: 0.0806, kb_relative_information_score: 38.1987, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5945, predictive_accuracy: 0.6265, prior_entropy: 0.9188, recall: 0.6265, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4854, root_relative_squared_error: 1.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6161, f_measure: 0.6247, kappa: 0.1319, kb_relative_information_score: 44.3045, mean_absolute_error: 0.4055, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6192, predictive_accuracy: 0.6473, prior_entropy: 0.9188, recall: 0.6473, relative_absolute_error: 0.912, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.568, f_measure: 0.6193, kappa: 0.138, kb_relative_information_score: 68.241, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.617, predictive_accuracy: 0.622, prior_entropy: 0.9188, recall: 0.622, relative_absolute_error: 0.8552, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6145, root_relative_squared_error: 1.3035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6124, f_measure: 0.6503, kappa: 0.2025, kb_relative_information_score: 81.6866, mean_absolute_error: 0.3737, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6464, predictive_accuracy: 0.6563, prior_entropy: 0.9188, recall: 0.6563, relative_absolute_error: 0.8405, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5249, root_relative_squared_error: 1.1134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5883, f_measure: 0.6201, kappa: 0.1272, kb_relative_information_score: 32.4263, mean_absolute_error: 0.4073, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6137, predictive_accuracy: 0.6324, prior_entropy: 0.9188, recall: 0.6324, relative_absolute_error: 0.9161, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5965, f_measure: 0.6171, kappa: 0.1172, kb_relative_information_score: 36.8064, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6102, predictive_accuracy: 0.6339, prior_entropy: 0.9188, recall: 0.6339, relative_absolute_error: 0.9204, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5742, f_measure: 0.6114, kappa: 0.1148, kb_relative_information_score: 24.2217, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.607, predictive_accuracy: 0.6176, prior_entropy: 0.9188, recall: 0.6176, relative_absolute_error: 0.9173, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5339, root_relative_squared_error: 1.1326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6352, f_measure: 0.6309, kappa: 0.1455, kb_relative_information_score: 55.4231, mean_absolute_error: 0.3994, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6273, predictive_accuracy: 0.6563, prior_entropy: 0.9188, recall: 0.6563, relative_absolute_error: 0.8983, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.6218, kappa: 0.1429, kb_relative_information_score: 69.639, mean_absolute_error: 0.3783, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6192, predictive_accuracy: 0.625, prior_entropy: 0.9188, recall: 0.625, relative_absolute_error: 0.8508, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5716, root_relative_squared_error: 1.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5928, f_measure: 0.6245, kappa: 0.1576, kb_relative_information_score: 59.2874, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6256, predictive_accuracy: 0.6235, prior_entropy: 0.9188, recall: 0.6235, relative_absolute_error: 0.8668, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5504, root_relative_squared_error: 1.1676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6084, f_measure: 0.6156, kappa: 0.1117, kb_relative_information_score: 40.9478, mean_absolute_error: 0.4064, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6088, predictive_accuracy: 0.6369, prior_entropy: 0.9188, recall: 0.6369, relative_absolute_error: 0.9142, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4826, root_relative_squared_error: 1.0238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5953, f_measure: 0.6171, kappa: 0.1172, kb_relative_information_score: 37.1958, mean_absolute_error: 0.4093, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6102, predictive_accuracy: 0.6339, prior_entropy: 0.9188, recall: 0.6339, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4894, root_relative_squared_error: 1.0382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6211, f_measure: 0.6225, kappa: 0.1259, kb_relative_information_score: 45.9423, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6178, predictive_accuracy: 0.6488, prior_entropy: 0.9188, recall: 0.6488, relative_absolute_error: 0.9099, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.0125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5884, f_measure: 0.6164, kappa: 0.1197, kb_relative_information_score: 30.9399, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6101, predictive_accuracy: 0.628, prior_entropy: 0.9188, recall: 0.628, relative_absolute_error: 0.918, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5767, f_measure: 0.6132, kappa: 0.1193, kb_relative_information_score: 33.2161, mean_absolute_error: 0.4038, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6089, predictive_accuracy: 0.619, prior_entropy: 0.9188, recall: 0.619, relative_absolute_error: 0.9083, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5273, root_relative_squared_error: 1.1187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5864, f_measure: 0.6199, kappa: 0.155, kb_relative_information_score: 53.7101, mean_absolute_error: 0.3891, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6248, predictive_accuracy: 0.6161, prior_entropy: 0.9188, recall: 0.6161, relative_absolute_error: 0.8752, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6067, root_relative_squared_error: 1.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, f_measure: 0.6198, kappa: 0.1202, kb_relative_information_score: 45.003, mean_absolute_error: 0.4048, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6142, predictive_accuracy: 0.6443, prior_entropy: 0.9188, recall: 0.6443, relative_absolute_error: 0.9105, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4792, root_relative_squared_error: 1.0166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.5919, kappa: 0.0634, kb_relative_information_score: 3.6287, mean_absolute_error: 0.4195, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5844, predictive_accuracy: 0.6042, prior_entropy: 0.9188, recall: 0.6042, relative_absolute_error: 0.9436, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5263, root_relative_squared_error: 1.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.561, f_measure: 0.5885, kappa: 0.0601, kb_relative_information_score: 8.2485, mean_absolute_error: 0.4165, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5826, predictive_accuracy: 0.5967, prior_entropy: 0.9188, recall: 0.5967, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5291, root_relative_squared_error: 1.1225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.611, f_measure: 0.6156, kappa: 0.1117, kb_relative_information_score: 42.082, mean_absolute_error: 0.4058, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6088, predictive_accuracy: 0.6369, prior_entropy: 0.9188, recall: 0.6369, relative_absolute_error: 0.9127, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4819, root_relative_squared_error: 1.0224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5763, f_measure: 0.6193, kappa: 0.133, kb_relative_information_score: 30.9189, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6151, predictive_accuracy: 0.625, prior_entropy: 0.9188, recall: 0.625, relative_absolute_error: 0.9103, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5312, root_relative_squared_error: 1.1268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6158, f_measure: 0.6265, kappa: 0.1355, kb_relative_information_score: 47.3736, mean_absolute_error: 0.4033, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6222, predictive_accuracy: 0.6518, prior_entropy: 0.9188, recall: 0.6518, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5775, f_measure: 0.6132, kappa: 0.1193, kb_relative_information_score: 34.6118, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6089, predictive_accuracy: 0.619, prior_entropy: 0.9188, recall: 0.619, relative_absolute_error: 0.9067, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5267, root_relative_squared_error: 1.1172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5879, f_measure: 0.609, kappa: 0.0982, kb_relative_information_score: 32.0259, mean_absolute_error: 0.4119, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6014, predictive_accuracy: 0.6265, prior_entropy: 0.9188, recall: 0.6265, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4914, root_relative_squared_error: 1.0424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.62, kappa: 0.1215, kb_relative_information_score: 45.8786, mean_absolute_error: 0.4039, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6137, predictive_accuracy: 0.6414, prior_entropy: 0.9188, recall: 0.6414, relative_absolute_error: 0.9083, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.0184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6132, f_measure: 0.6487, kappa: 0.2011, kb_relative_information_score: 78.9977, mean_absolute_error: 0.3753, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6454, predictive_accuracy: 0.6533, prior_entropy: 0.9188, recall: 0.6533, relative_absolute_error: 0.844, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5246, root_relative_squared_error: 1.1129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5826, f_measure: 0.6048, kappa: 0.099, kb_relative_information_score: 68.2577, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5999, predictive_accuracy: 0.6116, prior_entropy: 0.9188, recall: 0.6116, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5904, root_relative_squared_error: 1.2524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5991, f_measure: 0.6275, kappa: 0.1578, kb_relative_information_score: 51.5033, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6258, predictive_accuracy: 0.6295, prior_entropy: 0.9188, recall: 0.6295, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5399, root_relative_squared_error: 1.1453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.6336, kappa: 0.1669, kb_relative_information_score: 43.9038, mean_absolute_error: 0.3956, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6301, predictive_accuracy: 0.6384, prior_entropy: 0.9188, recall: 0.6384, relative_absolute_error: 0.8898, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5291, root_relative_squared_error: 1.1225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5782, f_measure: 0.615, kappa: 0.1237, kb_relative_information_score: 29.8857, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6109, predictive_accuracy: 0.6205, prior_entropy: 0.9188, recall: 0.6205, relative_absolute_error: 0.9102, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5313, root_relative_squared_error: 1.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5995, f_measure: 0.6025, kappa: 0.0806, kb_relative_information_score: 36.6651, mean_absolute_error: 0.4093, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5945, predictive_accuracy: 0.6265, prior_entropy: 0.9188, recall: 0.6265, relative_absolute_error: 0.9206, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4859, root_relative_squared_error: 1.0307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6327, f_measure: 0.6309, kappa: 0.1455, kb_relative_information_score: 53.8828, mean_absolute_error: 0.4002, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6273, predictive_accuracy: 0.6563, prior_entropy: 0.9188, recall: 0.6563, relative_absolute_error: 0.9001, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4731, root_relative_squared_error: 1.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.603, f_measure: 0.6283, kappa: 0.1584, kb_relative_information_score: 63.597, mean_absolute_error: 0.3831, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6261, predictive_accuracy: 0.631, prior_entropy: 0.9188, recall: 0.631, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5545, root_relative_squared_error: 1.1762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5757, f_measure: 0.6142, kappa: 0.1386, kb_relative_information_score: 44.7208, mean_absolute_error: 0.3946, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6173, predictive_accuracy: 0.6116, prior_entropy: 0.9188, recall: 0.6116, relative_absolute_error: 0.8875, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6103, root_relative_squared_error: 1.2947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5856, f_measure: 0.6177, kappa: 0.1438, kb_relative_information_score: 50.7639, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6195, predictive_accuracy: 0.6161, prior_entropy: 0.9188, recall: 0.6161, relative_absolute_error: 0.8788, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5585, root_relative_squared_error: 1.1848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5703, f_measure: 0.6091, kappa: 0.1049, kb_relative_information_score: 17.6132, mean_absolute_error: 0.4136, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.603, predictive_accuracy: 0.619, prior_entropy: 0.9188, recall: 0.619, relative_absolute_error: 0.9302, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5162, root_relative_squared_error: 1.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, f_measure: 0.6265, kappa: 0.1355, kb_relative_information_score: 48.9831, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6222, predictive_accuracy: 0.6518, prior_entropy: 0.9188, recall: 0.6518, relative_absolute_error: 0.9052, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4779, root_relative_squared_error: 1.0139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6201, f_measure: 0.6259, kappa: 0.1345, kb_relative_information_score: 46.6281, mean_absolute_error: 0.4043, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6206, predictive_accuracy: 0.6488, prior_entropy: 0.9188, recall: 0.6488, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6161, f_measure: 0.6247, kappa: 0.1319, kb_relative_information_score: 44.2788, mean_absolute_error: 0.4055, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6192, predictive_accuracy: 0.6473, prior_entropy: 0.9188, recall: 0.6473, relative_absolute_error: 0.912, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6062, f_measure: 0.6381, kappa: 0.1749, kb_relative_information_score: 73.8659, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.634, predictive_accuracy: 0.6443, prior_entropy: 0.9188, recall: 0.6443, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.527, root_relative_squared_error: 1.1178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5957, f_measure: 0.6364, kappa: 0.175, kb_relative_information_score: 88.3004, mean_absolute_error: 0.3668, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6336, predictive_accuracy: 0.6399, prior_entropy: 0.9188, recall: 0.6399, relative_absolute_error: 0.825, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.581, root_relative_squared_error: 1.2325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.582, f_measure: 0.618, kappa: 0.1306, kb_relative_information_score: 32.6056, mean_absolute_error: 0.4036, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.614, predictive_accuracy: 0.6235, prior_entropy: 0.9188, recall: 0.6235, relative_absolute_error: 0.9078, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5286, root_relative_squared_error: 1.1213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6191, f_measure: 0.6404, kappa: 0.1812, kb_relative_information_score: 71.1184, mean_absolute_error: 0.3788, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6366, predictive_accuracy: 0.6458, prior_entropy: 0.9188, recall: 0.6458, relative_absolute_error: 0.852, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5724, f_measure: 0.6067, kappa: 0.0982, kb_relative_information_score: 19.7549, mean_absolute_error: 0.4127, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6001, predictive_accuracy: 0.6176, prior_entropy: 0.9188, recall: 0.6176, relative_absolute_error: 0.9283, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5151, root_relative_squared_error: 1.0927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5671, f_measure: 0.6151, kappa: 0.1391, kb_relative_information_score: 25.0004, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6174, predictive_accuracy: 0.6131, prior_entropy: 0.9188, recall: 0.6131, relative_absolute_error: 0.9167, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5884, root_relative_squared_error: 1.2482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, f_measure: 0.6005, kappa: 0.0842, kb_relative_information_score: 20.0008, mean_absolute_error: 0.4113, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5938, predictive_accuracy: 0.6116, prior_entropy: 0.9188, recall: 0.6116, relative_absolute_error: 0.925, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5252, root_relative_squared_error: 1.1142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.625, kappa: 0.1404, kb_relative_information_score: 27.006, mean_absolute_error: 0.4103, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6193, predictive_accuracy: 0.6354, prior_entropy: 0.9188, recall: 0.6354, relative_absolute_error: 0.9228, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5038, root_relative_squared_error: 1.0688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6125, f_measure: 0.62, kappa: 0.1215, kb_relative_information_score: 44.7875, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6137, predictive_accuracy: 0.6414, prior_entropy: 0.9188, recall: 0.6414, relative_absolute_error: 0.9099, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4804, root_relative_squared_error: 1.0191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.593, f_measure: 0.6101, kappa: 0.1007, kb_relative_information_score: 35.1538, mean_absolute_error: 0.4101, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6027, predictive_accuracy: 0.628, prior_entropy: 0.9188, recall: 0.628, relative_absolute_error: 0.9223, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4894, root_relative_squared_error: 1.0381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6072, f_measure: 0.6137, kappa: 0.1069, kb_relative_information_score: 43.568, mean_absolute_error: 0.4051, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6067, predictive_accuracy: 0.6354, prior_entropy: 0.9188, recall: 0.6354, relative_absolute_error: 0.9111, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4823, root_relative_squared_error: 1.0231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6086, f_measure: 0.6156, kappa: 0.1117, kb_relative_information_score: 41.0942, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6088, predictive_accuracy: 0.6369, prior_entropy: 0.9188, recall: 0.6369, relative_absolute_error: 0.9139, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4826, root_relative_squared_error: 1.0237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6058, f_measure: 0.6266, kappa: 0.1637, kb_relative_information_score: 67.8651, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6284, predictive_accuracy: 0.625, prior_entropy: 0.9188, recall: 0.625, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5556, root_relative_squared_error: 1.1786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.594, f_measure: 0.6152, kappa: 0.1126, kb_relative_information_score: 36.0755, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6081, predictive_accuracy: 0.6324, prior_entropy: 0.9188, recall: 0.6324, relative_absolute_error: 0.9213, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.0384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5789, f_measure: 0.6166, kappa: 0.1297, kb_relative_information_score: 61.4296, mean_absolute_error: 0.3839, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6134, predictive_accuracy: 0.6205, prior_entropy: 0.9188, recall: 0.6205, relative_absolute_error: 0.8635, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5932, root_relative_squared_error: 1.2585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6127, f_measure: 0.6356, kappa: 0.1806, kb_relative_information_score: 66.3893, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6358, predictive_accuracy: 0.6354, prior_entropy: 0.9188, recall: 0.6354, relative_absolute_error: 0.8596, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5401, root_relative_squared_error: 1.1457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.563, f_measure: 0.6105, kappa: 0.1212, kb_relative_information_score: 45.0132, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6094, predictive_accuracy: 0.6116, prior_entropy: 0.9188, recall: 0.6116, relative_absolute_error: 0.8884, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6097, root_relative_squared_error: 1.2935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.59, f_measure: 0.609, kappa: 0.0982, kb_relative_information_score: 33.1631, mean_absolute_error: 0.411, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6014, predictive_accuracy: 0.6265, prior_entropy: 0.9188, recall: 0.6265, relative_absolute_error: 0.9244, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4904, root_relative_squared_error: 1.0402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5964, f_measure: 0.6152, kappa: 0.1126, kb_relative_information_score: 37.2168, mean_absolute_error: 0.409, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6081, predictive_accuracy: 0.6324, prior_entropy: 0.9188, recall: 0.6324, relative_absolute_error: 0.9199, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4889, root_relative_squared_error: 1.0372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5922, f_measure: 0.6219, kappa: 0.1262, kb_relative_information_score: 36.3452, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6158, predictive_accuracy: 0.6429, prior_entropy: 0.9188, recall: 0.6429, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.492, root_relative_squared_error: 1.0438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5907, f_measure: 0.609, kappa: 0.0982, kb_relative_information_score: 33.2216, mean_absolute_error: 0.411, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6014, predictive_accuracy: 0.6265, prior_entropy: 0.9188, recall: 0.6265, relative_absolute_error: 0.9244, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4903, root_relative_squared_error: 1.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6103, f_measure: 0.6156, kappa: 0.1117, kb_relative_information_score: 42.0616, mean_absolute_error: 0.406, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6088, predictive_accuracy: 0.6369, prior_entropy: 0.9188, recall: 0.6369, relative_absolute_error: 0.9132, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.482, root_relative_squared_error: 1.0225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6147, f_measure: 0.62, kappa: 0.1215, kb_relative_information_score: 45.6775, mean_absolute_error: 0.4041, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6137, predictive_accuracy: 0.6414, prior_entropy: 0.9188, recall: 0.6414, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4798, root_relative_squared_error: 1.0177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5725, f_measure: 0.6212, kappa: 0.1457, kb_relative_information_score: 72.0575, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6203, predictive_accuracy: 0.622, prior_entropy: 0.9188, recall: 0.622, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6148, root_relative_squared_error: 1.3042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6149, f_measure: 0.62, kappa: 0.1215, kb_relative_information_score: 45.6775, mean_absolute_error: 0.4041, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6137, predictive_accuracy: 0.6414, prior_entropy: 0.9188, recall: 0.6414, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4797, root_relative_squared_error: 1.0176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6006, f_measure: 0.6025, kappa: 0.0806, kb_relative_information_score: 37.4528, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5945, predictive_accuracy: 0.6265, prior_entropy: 0.9188, recall: 0.6265, relative_absolute_error: 0.9192, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4857, root_relative_squared_error: 1.0303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5892, f_measure: 0.618, kappa: 0.1181, kb_relative_information_score: 34.9987, mean_absolute_error: 0.4094, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6112, predictive_accuracy: 0.6369, prior_entropy: 0.9188, recall: 0.6369, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.492, root_relative_squared_error: 1.0437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.6499, kappa: 0.1995, kb_relative_information_score: 71.0989, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6455, predictive_accuracy: 0.6577, prior_entropy: 0.9188, recall: 0.6577, relative_absolute_error: 0.8532, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5214, root_relative_squared_error: 1.1061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6079, f_measure: 0.6137, kappa: 0.1069, kb_relative_information_score: 44.3476, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6067, predictive_accuracy: 0.6354, prior_entropy: 0.9188, recall: 0.6354, relative_absolute_error: 0.9106, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4823, root_relative_squared_error: 1.0231,

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