OpenML
Supervised Classification on vowel

Supervised Classification on vowel

Task 3022 Supervised Classification vowel 18971 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_50 study_7 study_98 study_99 under100k under1m
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18971 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.6712, kappa: 0.6389, kb_relative_information_score: 666.0699, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6732, predictive_accuracy: 0.6717, prior_entropy: 3.4594, recall: 0.6717, relative_absolute_error: 0.4159, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.7215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.7789, kappa: 0.7567, kb_relative_information_score: 762.0608, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7801, predictive_accuracy: 0.7788, prior_entropy: 3.4594, recall: 0.7788, relative_absolute_error: 0.2881, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.6431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.8009, kappa: 0.7811, kb_relative_information_score: 797.6419, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8016, predictive_accuracy: 0.801, prior_entropy: 3.4594, recall: 0.801, relative_absolute_error: 0.2322, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.177, root_relative_squared_error: 0.6158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.3491, kappa: 0.3511, kb_relative_information_score: 394.8904, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.3523, predictive_accuracy: 0.4101, prior_entropy: 3.4594, recall: 0.4101, relative_absolute_error: 0.7706, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.8886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.6739, kappa: 0.6411, kb_relative_information_score: 663.6536, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6763, predictive_accuracy: 0.6737, prior_entropy: 3.4594, recall: 0.6737, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.7206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.5557, kappa: 0.5122, kb_relative_information_score: 540.1309, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5674, predictive_accuracy: 0.5566, prior_entropy: 3.4594, recall: 0.5566, relative_absolute_error: 0.5914, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.8115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.7441, kappa: 0.7178, kb_relative_information_score: 746.1736, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7466, predictive_accuracy: 0.7434, prior_entropy: 3.4594, recall: 0.7434, relative_absolute_error: 0.312, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.6626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.689, kappa: 0.6589, kb_relative_information_score: 687.8203, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6903, predictive_accuracy: 0.6899, prior_entropy: 3.4594, recall: 0.6899, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.7123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8363, kappa: 0.82, kb_relative_information_score: 820.5626, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.837, predictive_accuracy: 0.8364, prior_entropy: 3.4594, recall: 0.8364, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.4341, kappa: 0.4144, kb_relative_information_score: 433.159, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4507, predictive_accuracy: 0.4677, prior_entropy: 3.4594, recall: 0.4677, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.8711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.5557, kappa: 0.5122, kb_relative_information_score: 540.1309, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5674, predictive_accuracy: 0.5566, prior_entropy: 3.4594, recall: 0.5566, relative_absolute_error: 0.5914, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.8115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.5137, kappa: 0.4733, kb_relative_information_score: 478.1966, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5286, predictive_accuracy: 0.5212, prior_entropy: 3.4594, recall: 0.5212, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.8429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.689, kappa: 0.6589, kb_relative_information_score: 687.8203, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6903, predictive_accuracy: 0.6899, prior_entropy: 3.4594, recall: 0.6899, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.7123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.1778, kappa: 0.2422, kb_relative_information_score: 332.58, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.1327, predictive_accuracy: 0.3111, prior_entropy: 3.4594, recall: 0.3111, relative_absolute_error: 0.8467, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.5137, kappa: 0.4733, kb_relative_information_score: 478.1966, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5286, predictive_accuracy: 0.5212, prior_entropy: 3.4594, recall: 0.5212, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.8429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.1878, kappa: 0.2444, kb_relative_information_score: 334.7372, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.182, predictive_accuracy: 0.3131, prior_entropy: 3.4594, recall: 0.3131, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.9246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.602, kappa: 0.5656, kb_relative_information_score: 570.8568, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6062, predictive_accuracy: 0.6051, prior_entropy: 3.4594, recall: 0.6051, relative_absolute_error: 0.5417, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.7854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.4952, kappa: 0.4522, kb_relative_information_score: 464.0926, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4952, predictive_accuracy: 0.502, prior_entropy: 3.4594, recall: 0.502, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.8533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.5621, kappa: 0.5167, kb_relative_information_score: 541.0077, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5768, predictive_accuracy: 0.5606, prior_entropy: 3.4594, recall: 0.5606, relative_absolute_error: 0.5918, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.5137, kappa: 0.4733, kb_relative_information_score: 478.1966, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5286, predictive_accuracy: 0.5212, prior_entropy: 3.4594, recall: 0.5212, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.8429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.582, kappa: 0.5422, kb_relative_information_score: 544.2876, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5878, predictive_accuracy: 0.5838, prior_entropy: 3.4594, recall: 0.5838, relative_absolute_error: 0.5773, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.8012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8237, kappa: 0.8067, kb_relative_information_score: 817.0122, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.824, predictive_accuracy: 0.8242, prior_entropy: 3.4594, recall: 0.8242, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.5989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.7431, kappa: 0.7167, kb_relative_information_score: 743.002, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7457, predictive_accuracy: 0.7424, prior_entropy: 3.4594, recall: 0.7424, relative_absolute_error: 0.316, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.6654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.3542, kappa: 0.3556, kb_relative_information_score: 398.9737, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.3312, predictive_accuracy: 0.4141, prior_entropy: 3.4594, recall: 0.4141, relative_absolute_error: 0.7742, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.8901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.5622, kappa: 0.5233, kb_relative_information_score: 521.9346, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5705, predictive_accuracy: 0.5667, prior_entropy: 3.4594, recall: 0.5667, relative_absolute_error: 0.6073, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.8146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.3953, kappa: 0.4011, kb_relative_information_score: 417.8893, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.3794, predictive_accuracy: 0.4556, prior_entropy: 3.4594, recall: 0.4556, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.8735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.551, kappa: 0.5067, kb_relative_information_score: 540.978, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5674, predictive_accuracy: 0.5515, prior_entropy: 3.4594, recall: 0.5515, relative_absolute_error: 0.5931, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.8056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.551, kappa: 0.5067, kb_relative_information_score: 540.978, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5674, predictive_accuracy: 0.5515, prior_entropy: 3.4594, recall: 0.5515, relative_absolute_error: 0.5931, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.8056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.1778, kappa: 0.2422, kb_relative_information_score: 332.58, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.1327, predictive_accuracy: 0.3111, prior_entropy: 3.4594, recall: 0.3111, relative_absolute_error: 0.8467, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.6603, kappa: 0.6278, kb_relative_information_score: 647.2471, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6619, predictive_accuracy: 0.6616, prior_entropy: 3.4594, recall: 0.6616, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.7349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.551, kappa: 0.5067, kb_relative_information_score: 540.978, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5674, predictive_accuracy: 0.5515, prior_entropy: 3.4594, recall: 0.5515, relative_absolute_error: 0.5931, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.8056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.6433, kappa: 0.6089, kb_relative_information_score: 627.7993, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6459, predictive_accuracy: 0.6444, prior_entropy: 3.4594, recall: 0.6444, relative_absolute_error: 0.4697, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.7504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.689, kappa: 0.6589, kb_relative_information_score: 687.8203, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6903, predictive_accuracy: 0.6899, prior_entropy: 3.4594, recall: 0.6899, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.7123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.3602, kappa: 0.3622, kb_relative_information_score: 400.5607, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.3555, predictive_accuracy: 0.4202, prior_entropy: 3.4594, recall: 0.4202, relative_absolute_error: 0.7646, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.8858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.5708, kappa: 0.5311, kb_relative_information_score: 528.1588, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5792, predictive_accuracy: 0.5737, prior_entropy: 3.4594, recall: 0.5737, relative_absolute_error: 0.6014, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.8099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.551, kappa: 0.5067, kb_relative_information_score: 540.978, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5674, predictive_accuracy: 0.5515, prior_entropy: 3.4594, recall: 0.5515, relative_absolute_error: 0.5931, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.8056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.4952, kappa: 0.4522, kb_relative_information_score: 464.0926, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4952, predictive_accuracy: 0.502, prior_entropy: 3.4594, recall: 0.502, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.8533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.596, kappa: 0.5578, kb_relative_information_score: 578.4199, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.599, predictive_accuracy: 0.598, prior_entropy: 3.4594, recall: 0.598, relative_absolute_error: 0.539, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.7869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0152, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.0083, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2875, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.4952, kappa: 0.4522, kb_relative_information_score: 464.0926, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4952, predictive_accuracy: 0.502, prior_entropy: 3.4594, recall: 0.502, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.8533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.5137, kappa: 0.4733, kb_relative_information_score: 478.1966, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5286, predictive_accuracy: 0.5212, prior_entropy: 3.4594, recall: 0.5212, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.8429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.6224, kappa: 0.5856, kb_relative_information_score: 613.5146, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6256, predictive_accuracy: 0.6232, prior_entropy: 3.4594, recall: 0.6232, relative_absolute_error: 0.4971, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.7606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7344, kappa: 0.7067, kb_relative_information_score: 731.2165, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7374, predictive_accuracy: 0.7333, prior_entropy: 3.4594, recall: 0.7333, relative_absolute_error: 0.3323, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.4952, kappa: 0.4522, kb_relative_information_score: 464.0926, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4952, predictive_accuracy: 0.502, prior_entropy: 3.4594, recall: 0.502, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.8533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.4952, kappa: 0.4522, kb_relative_information_score: 464.0926, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4952, predictive_accuracy: 0.502, prior_entropy: 3.4594, recall: 0.502, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.8533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.5129, kappa: 0.4744, kb_relative_information_score: 476.7194, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5276, predictive_accuracy: 0.5222, prior_entropy: 3.4594, recall: 0.5222, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.8441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.1878, kappa: 0.2444, kb_relative_information_score: 334.7372, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.182, predictive_accuracy: 0.3131, prior_entropy: 3.4594, recall: 0.3131, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.9246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.5754, kappa: 0.5367, kb_relative_information_score: 532.4217, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5811, predictive_accuracy: 0.5788, prior_entropy: 3.4594, recall: 0.5788, relative_absolute_error: 0.5942, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.8058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.1778, kappa: 0.2422, kb_relative_information_score: 332.58, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.1327, predictive_accuracy: 0.3111, prior_entropy: 3.4594, recall: 0.3111, relative_absolute_error: 0.8467, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.491, kappa: 0.4478, kb_relative_information_score: 460.2487, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4937, predictive_accuracy: 0.498, prior_entropy: 3.4594, recall: 0.498, relative_absolute_error: 0.7104, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.246, root_relative_squared_error: 0.8556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.3602, kappa: 0.3622, kb_relative_information_score: 400.5607, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.3555, predictive_accuracy: 0.4202, prior_entropy: 3.4594, recall: 0.4202, relative_absolute_error: 0.7646, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.8858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.3602, kappa: 0.3622, kb_relative_information_score: 400.5607, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.3555, predictive_accuracy: 0.4202, prior_entropy: 3.4594, recall: 0.4202, relative_absolute_error: 0.7646, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.8858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.6541, kappa: 0.6189, kb_relative_information_score: 645.3744, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6563, predictive_accuracy: 0.6535, prior_entropy: 3.4594, recall: 0.6535, relative_absolute_error: 0.4504, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.7358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.547, kappa: 0.5033, kb_relative_information_score: 535.5011, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5618, predictive_accuracy: 0.5485, prior_entropy: 3.4594, recall: 0.5485, relative_absolute_error: 0.6029, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.8102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.514, kappa: 0.4778, kb_relative_information_score: 476.8159, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5301, predictive_accuracy: 0.5253, prior_entropy: 3.4594, recall: 0.5253, relative_absolute_error: 0.6834, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.8434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.1878, kappa: 0.2444, kb_relative_information_score: 334.7372, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.182, predictive_accuracy: 0.3131, prior_entropy: 3.4594, recall: 0.3131, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.9246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.5277, kappa: 0.4911, kb_relative_information_score: 495.761, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5438, predictive_accuracy: 0.5374, prior_entropy: 3.4594, recall: 0.5374, relative_absolute_error: 0.6541, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.8334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.5561, kappa: 0.5167, kb_relative_information_score: 515.5323, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5655, predictive_accuracy: 0.5606, prior_entropy: 3.4594, recall: 0.5606, relative_absolute_error: 0.6172, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.5727, kappa: 0.5344, kb_relative_information_score: 529.8541, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5792, predictive_accuracy: 0.5768, prior_entropy: 3.4594, recall: 0.5768, relative_absolute_error: 0.5978, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.8077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.1878, kappa: 0.2444, kb_relative_information_score: 334.7372, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.182, predictive_accuracy: 0.3131, prior_entropy: 3.4594, recall: 0.3131, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.9246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.3547, kappa: 0.3589, kb_relative_information_score: 400.1532, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.3522, predictive_accuracy: 0.4172, prior_entropy: 3.4594, recall: 0.4172, relative_absolute_error: 0.7662, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.8862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.6726, kappa: 0.6422, kb_relative_information_score: 657.8573, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6759, predictive_accuracy: 0.6747, prior_entropy: 3.4594, recall: 0.6747, relative_absolute_error: 0.4331, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.4906, kappa: 0.4567, kb_relative_information_score: 456.0617, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5123, predictive_accuracy: 0.5061, prior_entropy: 3.4594, recall: 0.5061, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.8531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.582, kappa: 0.5422, kb_relative_information_score: 544.2876, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5878, predictive_accuracy: 0.5838, prior_entropy: 3.4594, recall: 0.5838, relative_absolute_error: 0.5773, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.8012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.5175, kappa: 0.4811, kb_relative_information_score: 481.0591, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5319, predictive_accuracy: 0.5283, prior_entropy: 3.4594, recall: 0.5283, relative_absolute_error: 0.6796, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.8411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.625, kappa: 0.5878, kb_relative_information_score: 608.8748, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6291, predictive_accuracy: 0.6253, prior_entropy: 3.4594, recall: 0.6253, relative_absolute_error: 0.5044, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.7622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.1867, kappa: 0.2356, kb_relative_information_score: 326.6948, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.1457, predictive_accuracy: 0.3051, prior_entropy: 3.4594, recall: 0.3051, relative_absolute_error: 0.8499, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.3945, kappa: 0.3944, kb_relative_information_score: 419.1168, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.3945, predictive_accuracy: 0.4495, prior_entropy: 3.4594, recall: 0.4495, relative_absolute_error: 0.7534, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.252, root_relative_squared_error: 0.8766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.4745, kappa: 0.4389, kb_relative_information_score: 447.0227, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4823, predictive_accuracy: 0.4899, prior_entropy: 3.4594, recall: 0.4899, relative_absolute_error: 0.7227, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2481, root_relative_squared_error: 0.8629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.4013, kappa: 0.4033, kb_relative_information_score: 418.8348, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4256, predictive_accuracy: 0.4576, prior_entropy: 3.4594, recall: 0.4576, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.8727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.4952, kappa: 0.4522, kb_relative_information_score: 464.0926, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4952, predictive_accuracy: 0.502, prior_entropy: 3.4594, recall: 0.502, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.8533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.4396, kappa: 0.4167, kb_relative_information_score: 428.2255, mean_absolute_error: 0.1205, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4661, predictive_accuracy: 0.4697, prior_entropy: 3.4594, recall: 0.4697, relative_absolute_error: 0.7293, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.25, root_relative_squared_error: 0.8697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.7284, kappa: 0.7, kb_relative_information_score: 721.2026, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7326, predictive_accuracy: 0.7273, prior_entropy: 3.4594, recall: 0.7273, relative_absolute_error: 0.3482, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.6826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.788, kappa: 0.7667, kb_relative_information_score: 780.7101, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7893, predictive_accuracy: 0.7879, prior_entropy: 3.4594, recall: 0.7879, relative_absolute_error: 0.2565, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.6301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.5183, kappa: 0.48, kb_relative_information_score: 482.5363, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5329, predictive_accuracy: 0.5273, prior_entropy: 3.4594, recall: 0.5273, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.8399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.4932, kappa: 0.45, kb_relative_information_score: 462.3965, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4948, predictive_accuracy: 0.5, prior_entropy: 3.4594, recall: 0.5, relative_absolute_error: 0.7089, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.8546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.1878, kappa: 0.2444, kb_relative_information_score: 334.7372, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.182, predictive_accuracy: 0.3131, prior_entropy: 3.4594, recall: 0.3131, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.9246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.4575, kappa: 0.4278, kb_relative_information_score: 442.5716, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4681, predictive_accuracy: 0.4798, prior_entropy: 3.4594, recall: 0.4798, relative_absolute_error: 0.7277, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.8654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.5603, kappa: 0.5144, kb_relative_information_score: 547.2539, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5732, predictive_accuracy: 0.5586, prior_entropy: 3.4594, recall: 0.5586, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.8085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.514, kappa: 0.4778, kb_relative_information_score: 476.8159, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5301, predictive_accuracy: 0.5253, prior_entropy: 3.4594, recall: 0.5253, relative_absolute_error: 0.6834, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.8434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.5137, kappa: 0.4733, kb_relative_information_score: 478.1966, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5286, predictive_accuracy: 0.5212, prior_entropy: 3.4594, recall: 0.5212, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.8429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.6749, kappa: 0.6422, kb_relative_information_score: 665.2681, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6772, predictive_accuracy: 0.6747, prior_entropy: 3.4594, recall: 0.6747, relative_absolute_error: 0.4186, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.7191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.6719, kappa: 0.6389, kb_relative_information_score: 663.6938, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6744, predictive_accuracy: 0.6717, prior_entropy: 3.4594, recall: 0.6717, relative_absolute_error: 0.418, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.7231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.5129, kappa: 0.4744, kb_relative_information_score: 476.7194, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5276, predictive_accuracy: 0.5222, prior_entropy: 3.4594, recall: 0.5222, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.8441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.7789, kappa: 0.7567, kb_relative_information_score: 762.0608, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7801, predictive_accuracy: 0.7788, prior_entropy: 3.4594, recall: 0.7788, relative_absolute_error: 0.2881, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.6431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.1878, kappa: 0.2444, kb_relative_information_score: 334.7372, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.182, predictive_accuracy: 0.3131, prior_entropy: 3.4594, recall: 0.3131, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.9246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.2201, kappa: 0.26, kb_relative_information_score: 343.2374, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.2875, predictive_accuracy: 0.3273, prior_entropy: 3.4594, recall: 0.3273, relative_absolute_error: 0.8336, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.9189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.6188, kappa: 0.5833, kb_relative_information_score: 588.6939, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6215, predictive_accuracy: 0.6212, prior_entropy: 3.4594, recall: 0.6212, relative_absolute_error: 0.5208, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.7729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.3953, kappa: 0.4011, kb_relative_information_score: 417.8893, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.3794, predictive_accuracy: 0.4556, prior_entropy: 3.4594, recall: 0.4556, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.8735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.5137, kappa: 0.4733, kb_relative_information_score: 478.1966, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5286, predictive_accuracy: 0.5212, prior_entropy: 3.4594, recall: 0.5212, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.8429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.6224, kappa: 0.5856, kb_relative_information_score: 613.5146, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6256, predictive_accuracy: 0.6232, prior_entropy: 3.4594, recall: 0.6232, relative_absolute_error: 0.4971, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.7606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.7037, kappa: 0.6733, kb_relative_information_score: 685.1111, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7074, predictive_accuracy: 0.703, prior_entropy: 3.4594, recall: 0.703, relative_absolute_error: 0.3945, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.7101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.5475, kappa: 0.5089, kb_relative_information_score: 511.1816, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.555, predictive_accuracy: 0.5535, prior_entropy: 3.4594, recall: 0.5535, relative_absolute_error: 0.6251, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.7542, kappa: 0.7289, kb_relative_information_score: 732.9913, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7563, predictive_accuracy: 0.7535, prior_entropy: 3.4594, recall: 0.7535, relative_absolute_error: 0.3237, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8363, kappa: 0.82, kb_relative_information_score: 820.5626, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.837, predictive_accuracy: 0.8364, prior_entropy: 3.4594, recall: 0.8364, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.4059, kappa: 0.4056, kb_relative_information_score: 419.767, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4144, predictive_accuracy: 0.4596, prior_entropy: 3.4594, recall: 0.4596, relative_absolute_error: 0.7427, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.8726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.7441, kappa: 0.7178, kb_relative_information_score: 746.1736, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7466, predictive_accuracy: 0.7434, prior_entropy: 3.4594, recall: 0.7434, relative_absolute_error: 0.312, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.6626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8087, kappa: 0.7889, kb_relative_information_score: 789.6858, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.811, predictive_accuracy: 0.8081, prior_entropy: 3.4594, recall: 0.8081, relative_absolute_error: 0.2342, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.6178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.3953, kappa: 0.4011, kb_relative_information_score: 417.8893, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.3794, predictive_accuracy: 0.4556, prior_entropy: 3.4594, recall: 0.4556, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.8735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.4217, kappa: 0.4111, kb_relative_information_score: 423.6775, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.429, predictive_accuracy: 0.4646, prior_entropy: 3.4594, recall: 0.4646, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.8722,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs