Task
Supervised Classification on anneal

Supervised Classification on anneal

Task 2 Supervised Classification anneal 5745 runs submitted
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  • at2 basic d3m study_1 study_107 study_14 study_41 study_70 study_73 under100k
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5745 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6366, f_measure: 0.733, kappa: 0.2911, kb_relative_information_score: 210.6918, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7558, predictive_accuracy: 0.8007, prior_entropy: 1.2149, recall: 0.8007, relative_absolute_error: 0.7997, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.9078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9163, kappa: 0.7965, kb_relative_information_score: 674.7838, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9208, predictive_accuracy: 0.9187, prior_entropy: 1.2149, recall: 0.9187, relative_absolute_error: 0.2546, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.5598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.9287, kappa: 0.8228, kb_relative_information_score: 720.1869, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9303, predictive_accuracy: 0.9298, prior_entropy: 1.2149, recall: 0.9298, relative_absolute_error: 0.1866, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.136, root_relative_squared_error: 0.5267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7372, kappa: 0.3331, kb_relative_information_score: 274.2063, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7153, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.7843, kappa: 0.4263, kb_relative_information_score: 309.2649, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7866, predictive_accuracy: 0.8174, prior_entropy: 1.2149, recall: 0.8174, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.8503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.8177, kappa: 0.5435, kb_relative_information_score: 459.8459, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8157, predictive_accuracy: 0.8207, prior_entropy: 1.2149, recall: 0.8207, relative_absolute_error: 0.5285, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.7597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9092, kappa: 0.7765, kb_relative_information_score: 653.9221, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9134, predictive_accuracy: 0.912, prior_entropy: 1.2149, recall: 0.912, relative_absolute_error: 0.2852, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.5751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.878, kappa: 0.6992, kb_relative_information_score: 591.4552, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8742, predictive_accuracy: 0.882, prior_entropy: 1.2149, recall: 0.882, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8658, kappa: 0.6753, kb_relative_information_score: 565.8146, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8671, predictive_accuracy: 0.8664, prior_entropy: 1.2149, recall: 0.8664, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.6614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.8646, kappa: 0.672, kb_relative_information_score: 563.385, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8657, predictive_accuracy: 0.8653, prior_entropy: 1.2149, recall: 0.8653, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.918, kappa: 0.7998, kb_relative_information_score: 682.2406, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9226, predictive_accuracy: 0.9209, prior_entropy: 1.2149, recall: 0.9209, relative_absolute_error: 0.2421, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.5444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: 4.1952, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.878, kappa: 0.6992, kb_relative_information_score: 591.4552, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8742, predictive_accuracy: 0.882, prior_entropy: 1.2149, recall: 0.882, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8205, kappa: 0.5548, kb_relative_information_score: 463.6727, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8183, predictive_accuracy: 0.8229, prior_entropy: 1.2149, recall: 0.8229, relative_absolute_error: 0.5237, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.7582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.878, kappa: 0.6992, kb_relative_information_score: 591.4552, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8742, predictive_accuracy: 0.882, prior_entropy: 1.2149, recall: 0.882, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9027, kappa: 0.7644, kb_relative_information_score: 631.257, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8994, predictive_accuracy: 0.9065, prior_entropy: 1.2149, recall: 0.9065, relative_absolute_error: 0.3222, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.5953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8235, kappa: 0.5715, kb_relative_information_score: 481.8586, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8252, predictive_accuracy: 0.8241, prior_entropy: 1.2149, recall: 0.8241, relative_absolute_error: 0.505, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.7426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9168, kappa: 0.7964, kb_relative_information_score: 663.9382, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9165, predictive_accuracy: 0.9187, prior_entropy: 1.2149, recall: 0.9187, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.5542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7372, kappa: 0.3331, kb_relative_information_score: 274.2063, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7153, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8261, kappa: 0.5784, kb_relative_information_score: 489.9013, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8283, predictive_accuracy: 0.8263, prior_entropy: 1.2149, recall: 0.8263, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.7366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.9152, kappa: 0.7913, kb_relative_information_score: 656.6472, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9152, predictive_accuracy: 0.9176, prior_entropy: 1.2149, recall: 0.9176, relative_absolute_error: 0.2823, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.5637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.9055, kappa: 0.7703, kb_relative_information_score: 651.7226, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9018, predictive_accuracy: 0.9098, prior_entropy: 1.2149, recall: 0.9098, relative_absolute_error: 0.2883, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.5755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.8962, kappa: 0.7458, kb_relative_information_score: 630.6528, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8932, predictive_accuracy: 0.8998, prior_entropy: 1.2149, recall: 0.8998, relative_absolute_error: 0.3215, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.6032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8261, kappa: 0.5784, kb_relative_information_score: 489.9013, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8283, predictive_accuracy: 0.8263, prior_entropy: 1.2149, recall: 0.8263, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.7366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8965, kappa: 0.7484, kb_relative_information_score: 624.5549, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8936, predictive_accuracy: 0.8998, prior_entropy: 1.2149, recall: 0.8998, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.6095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.802, kappa: 0.4914, kb_relative_information_score: 432.252, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7987, predictive_accuracy: 0.8151, prior_entropy: 1.2149, recall: 0.8151, relative_absolute_error: 0.5572, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7372, kappa: 0.3331, kb_relative_information_score: 274.2063, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7153, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8033, kappa: 0.4974, kb_relative_information_score: 436.5848, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8009, predictive_accuracy: 0.8151, prior_entropy: 1.2149, recall: 0.8151, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.7729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.878, kappa: 0.6992, kb_relative_information_score: 591.4552, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8742, predictive_accuracy: 0.882, prior_entropy: 1.2149, recall: 0.882, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.878, kappa: 0.6992, kb_relative_information_score: 591.4552, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8742, predictive_accuracy: 0.882, prior_entropy: 1.2149, recall: 0.882, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8658, kappa: 0.6753, kb_relative_information_score: 568.3759, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8671, predictive_accuracy: 0.8664, prior_entropy: 1.2149, recall: 0.8664, relative_absolute_error: 0.4031, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.6614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8658, kappa: 0.6753, kb_relative_information_score: 565.8146, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8671, predictive_accuracy: 0.8664, prior_entropy: 1.2149, recall: 0.8664, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.6614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9061, kappa: 0.7738, kb_relative_information_score: 660.4923, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9035, predictive_accuracy: 0.9098, prior_entropy: 1.2149, recall: 0.9098, relative_absolute_error: 0.2713, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.5702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8126, kappa: 0.5182, kb_relative_information_score: 453.3791, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8075, predictive_accuracy: 0.8218, prior_entropy: 1.2149, recall: 0.8218, relative_absolute_error: 0.5384, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.7636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.9087, kappa: 0.7804, kb_relative_information_score: 642.0153, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9059, predictive_accuracy: 0.912, prior_entropy: 1.2149, recall: 0.912, relative_absolute_error: 0.3031, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1498, root_relative_squared_error: 0.5801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.8078, kappa: 0.5057, kb_relative_information_score: 449.9479, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8116, predictive_accuracy: 0.8174, prior_entropy: 1.2149, recall: 0.8174, relative_absolute_error: 0.5464, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.7658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.93, kappa: 0.8252, kb_relative_information_score: 697.9704, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9324, predictive_accuracy: 0.9321, prior_entropy: 1.2149, recall: 0.9321, relative_absolute_error: 0.2237, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.5339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7372, kappa: 0.3331, kb_relative_information_score: 274.2063, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7153, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7372, kappa: 0.3331, kb_relative_information_score: 274.2063, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7153, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.7379, kappa: 0.3055, kb_relative_information_score: 218.6536, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7823, predictive_accuracy: 0.8062, prior_entropy: 1.2149, recall: 0.8062, relative_absolute_error: 0.7867, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.9038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.8374, kappa: 0.5799, kb_relative_information_score: 436.2832, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8369, predictive_accuracy: 0.853, prior_entropy: 1.2149, recall: 0.853, relative_absolute_error: 0.5453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.198, root_relative_squared_error: 0.7667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.9249, kappa: 0.8118, kb_relative_information_score: 697.7846, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9266, predictive_accuracy: 0.9265, prior_entropy: 1.2149, recall: 0.9265, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.5439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9113, kappa: 0.783, kb_relative_information_score: 669.3527, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9155, predictive_accuracy: 0.9143, prior_entropy: 1.2149, recall: 0.9143, relative_absolute_error: 0.2604, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.5679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7372, kappa: 0.3331, kb_relative_information_score: 274.2063, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7153, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8261, kappa: 0.5784, kb_relative_information_score: 489.9013, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8283, predictive_accuracy: 0.8263, prior_entropy: 1.2149, recall: 0.8263, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.7366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8658, kappa: 0.6753, kb_relative_information_score: 565.8146, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8671, predictive_accuracy: 0.8664, prior_entropy: 1.2149, recall: 0.8664, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.6614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5195, f_measure: 0.6597, kappa: 0.0083, kb_relative_information_score: 18.4859, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.592, predictive_accuracy: 0.7584, prior_entropy: 1.2149, recall: 0.7584, relative_absolute_error: 0.9827, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.8412, kappa: 0.5891, kb_relative_information_score: 441.1274, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8419, predictive_accuracy: 0.8575, prior_entropy: 1.2149, recall: 0.8575, relative_absolute_error: 0.5395, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.7614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8648, kappa: 0.6673, kb_relative_information_score: 561.1878, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8717, predictive_accuracy: 0.8664, prior_entropy: 1.2149, recall: 0.8664, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.171, root_relative_squared_error: 0.6622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8658, kappa: 0.6753, kb_relative_information_score: 565.8146, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8671, predictive_accuracy: 0.8664, prior_entropy: 1.2149, recall: 0.8664, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.6614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8235, kappa: 0.5715, kb_relative_information_score: 481.8586, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8252, predictive_accuracy: 0.8241, prior_entropy: 1.2149, recall: 0.8241, relative_absolute_error: 0.505, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.7426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7372, kappa: 0.3331, kb_relative_information_score: 274.2063, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7153, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.7943, kappa: 0.4636, kb_relative_information_score: 399.6245, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7857, predictive_accuracy: 0.8129, prior_entropy: 1.2149, recall: 0.8129, relative_absolute_error: 0.6089, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.878, kappa: 0.6992, kb_relative_information_score: 591.4552, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8742, predictive_accuracy: 0.882, prior_entropy: 1.2149, recall: 0.882, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9061, kappa: 0.7687, kb_relative_information_score: 639.9697, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9099, predictive_accuracy: 0.9087, prior_entropy: 1.2149, recall: 0.9087, relative_absolute_error: 0.309, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7372, kappa: 0.3331, kb_relative_information_score: 274.2063, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7153, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8261, kappa: 0.5784, kb_relative_information_score: 489.9013, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8283, predictive_accuracy: 0.8263, prior_entropy: 1.2149, recall: 0.8263, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.7366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9163, kappa: 0.7965, kb_relative_information_score: 674.7457, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9208, predictive_accuracy: 0.9187, prior_entropy: 1.2149, recall: 0.9187, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.5597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.8962, kappa: 0.7458, kb_relative_information_score: 630.6528, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8932, predictive_accuracy: 0.8998, prior_entropy: 1.2149, recall: 0.8998, relative_absolute_error: 0.3215, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.6032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8648, kappa: 0.6673, kb_relative_information_score: 561.1878, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8717, predictive_accuracy: 0.8664, prior_entropy: 1.2149, recall: 0.8664, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.171, root_relative_squared_error: 0.6622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.8144, kappa: 0.5126, kb_relative_information_score: 377.6287, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8185, predictive_accuracy: 0.8385, prior_entropy: 1.2149, recall: 0.8385, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.209, root_relative_squared_error: 0.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7488, f_measure: 0.7813, kappa: 0.4161, kb_relative_information_score: 298.5224, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7908, predictive_accuracy: 0.8185, prior_entropy: 1.2149, recall: 0.8185, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.8571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9168, kappa: 0.7964, kb_relative_information_score: 663.9382, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9165, predictive_accuracy: 0.9187, prior_entropy: 1.2149, recall: 0.9187, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.5542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9163, kappa: 0.7965, kb_relative_information_score: 674.7457, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9208, predictive_accuracy: 0.9187, prior_entropy: 1.2149, recall: 0.9187, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.5597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7372, kappa: 0.3331, kb_relative_information_score: 274.2063, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7153, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8965, kappa: 0.7484, kb_relative_information_score: 624.5549, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8936, predictive_accuracy: 0.8998, prior_entropy: 1.2149, recall: 0.8998, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.6095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.9111, kappa: 0.7805, kb_relative_information_score: 658.6228, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9147, predictive_accuracy: 0.9143, prior_entropy: 1.2149, recall: 0.9143, relative_absolute_error: 0.2793, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.5677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.878, kappa: 0.6992, kb_relative_information_score: 591.4552, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8742, predictive_accuracy: 0.882, prior_entropy: 1.2149, recall: 0.882, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.7914, kappa: 0.4475, kb_relative_information_score: 322.7796, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8031, predictive_accuracy: 0.8252, prior_entropy: 1.2149, recall: 0.8252, relative_absolute_error: 0.6717, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.8454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7372, kappa: 0.3331, kb_relative_information_score: 274.2063, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7153, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.7296, kappa: 0.2989, kb_relative_information_score: 240.8563, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7058, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.7987, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.9018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.777, kappa: 0.4379, kb_relative_information_score: 403.6195, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7725, predictive_accuracy: 0.784, prior_entropy: 1.2149, recall: 0.784, relative_absolute_error: 0.5897, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.7927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5454, f_measure: 0.6651, kappa: 0.034, kb_relative_information_score: 31.6278, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.602, predictive_accuracy: 0.7572, prior_entropy: 1.2149, recall: 0.7572, relative_absolute_error: 0.9726, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.9929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8937, kappa: 0.7369, kb_relative_information_score: 604.3983, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8897, predictive_accuracy: 0.8998, prior_entropy: 1.2149, recall: 0.8998, relative_absolute_error: 0.3593, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8205, kappa: 0.5548, kb_relative_information_score: 463.6727, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8183, predictive_accuracy: 0.8229, prior_entropy: 1.2149, recall: 0.8229, relative_absolute_error: 0.5237, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.7582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.8202, kappa: 0.5331, kb_relative_information_score: 406.2748, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8155, predictive_accuracy: 0.8374, prior_entropy: 1.2149, recall: 0.8374, relative_absolute_error: 0.5853, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.7859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.777, kappa: 0.4379, kb_relative_information_score: 403.6195, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7725, predictive_accuracy: 0.784, prior_entropy: 1.2149, recall: 0.784, relative_absolute_error: 0.5897, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.7927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.802, kappa: 0.4914, kb_relative_information_score: 430.0674, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7987, predictive_accuracy: 0.8151, prior_entropy: 1.2149, recall: 0.8151, relative_absolute_error: 0.5622, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.7759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.7914, kappa: 0.4475, kb_relative_information_score: 322.7796, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8031, predictive_accuracy: 0.8252, prior_entropy: 1.2149, recall: 0.8252, relative_absolute_error: 0.6717, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.8454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.8962, kappa: 0.7458, kb_relative_information_score: 630.6528, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8932, predictive_accuracy: 0.8998, prior_entropy: 1.2149, recall: 0.8998, relative_absolute_error: 0.3215, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.6032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8126, kappa: 0.5182, kb_relative_information_score: 453.3791, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8075, predictive_accuracy: 0.8218, prior_entropy: 1.2149, recall: 0.8218, relative_absolute_error: 0.5384, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.7636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.798, kappa: 0.4854, kb_relative_information_score: 423.3168, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7969, predictive_accuracy: 0.8085, prior_entropy: 1.2149, recall: 0.8085, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.7842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8261, kappa: 0.5784, kb_relative_information_score: 489.9013, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8283, predictive_accuracy: 0.8263, prior_entropy: 1.2149, recall: 0.8263, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.7366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.8703, kappa: 0.682, kb_relative_information_score: 579.7217, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8781, predictive_accuracy: 0.8686, prior_entropy: 1.2149, recall: 0.8686, relative_absolute_error: 0.3967, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.6531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9124, kappa: 0.7848, kb_relative_information_score: 659.3203, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9168, predictive_accuracy: 0.9131, prior_entropy: 1.2149, recall: 0.9131, relative_absolute_error: 0.2871, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.149, root_relative_squared_error: 0.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9124, kappa: 0.7848, kb_relative_information_score: 659.3203, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9168, predictive_accuracy: 0.9131, prior_entropy: 1.2149, recall: 0.9131, relative_absolute_error: 0.2871, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.149, root_relative_squared_error: 0.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.8989, kappa: 0.7575, kb_relative_information_score: 640.3922, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8984, predictive_accuracy: 0.9009, prior_entropy: 1.2149, recall: 0.9009, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.5938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8205, kappa: 0.5548, kb_relative_information_score: 463.6727, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8183, predictive_accuracy: 0.8229, prior_entropy: 1.2149, recall: 0.8229, relative_absolute_error: 0.5237, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.7582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8033, kappa: 0.4974, kb_relative_information_score: 436.5848, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8009, predictive_accuracy: 0.8151, prior_entropy: 1.2149, recall: 0.8151, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.7729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9288, kappa: 0.8221, kb_relative_information_score: 693.0183, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9316, predictive_accuracy: 0.931, prior_entropy: 1.2149, recall: 0.931, relative_absolute_error: 0.2332, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.5337,

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