Task
Supervised Classification on breast-w

Supervised Classification on breast-w

Task 15 Supervised Classification breast-w 20911 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_70 study_98 study_99 under100k under1m
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20911 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9458, kappa: 0.8804, kb_relative_information_score: 601.6609, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9461, predictive_accuracy: 0.9456, prior_entropy: 0.9297, recall: 0.9456, relative_absolute_error: 0.1399, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.4474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9427, kappa: 0.8728, kb_relative_information_score: 607.6266, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9426, predictive_accuracy: 0.9428, prior_entropy: 0.9297, recall: 0.9428, relative_absolute_error: 0.1256, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9382, kappa: 0.8626, kb_relative_information_score: 601.3174, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9383, predictive_accuracy: 0.9385, prior_entropy: 0.9297, recall: 0.9385, relative_absolute_error: 0.1362, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.4588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.9484, kappa: 0.8858, kb_relative_information_score: 600.5036, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9484, predictive_accuracy: 0.9485, prior_entropy: 0.9297, recall: 0.9485, relative_absolute_error: 0.1378, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.4664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9383, kappa: 0.8632, kb_relative_information_score: 586.2281, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9383, predictive_accuracy: 0.9385, prior_entropy: 0.9297, recall: 0.9385, relative_absolute_error: 0.1584, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.4365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9383, kappa: 0.8632, kb_relative_information_score: 594.7503, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9383, predictive_accuracy: 0.9385, prior_entropy: 0.9297, recall: 0.9385, relative_absolute_error: 0.1463, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9371, kappa: 0.8607, kb_relative_information_score: 585.3004, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9371, predictive_accuracy: 0.9371, prior_entropy: 0.9297, recall: 0.9371, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.4504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9399, kappa: 0.8667, kb_relative_information_score: 589.1438, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9398, predictive_accuracy: 0.9399, prior_entropy: 0.9297, recall: 0.9399, relative_absolute_error: 0.1551, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.4298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9385, kappa: 0.864, kb_relative_information_score: 581.967, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9385, predictive_accuracy: 0.9385, prior_entropy: 0.9297, recall: 0.9385, relative_absolute_error: 0.1675, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.4412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9455, kappa: 0.879, kb_relative_information_score: 602.1117, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9455, predictive_accuracy: 0.9456, prior_entropy: 0.9297, recall: 0.9456, relative_absolute_error: 0.1349, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9413, kappa: 0.8698, kb_relative_information_score: 598.1311, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9412, predictive_accuracy: 0.9413, prior_entropy: 0.9297, recall: 0.9413, relative_absolute_error: 0.1417, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.4408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9442, kappa: 0.8766, kb_relative_information_score: 592.0529, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9443, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.4416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9443, kappa: 0.8769, kb_relative_information_score: 594.7952, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9444, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.1476, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9385, kappa: 0.864, kb_relative_information_score: 582.6102, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9385, predictive_accuracy: 0.9385, prior_entropy: 0.9297, recall: 0.9385, relative_absolute_error: 0.1662, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.4406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9401, kappa: 0.8678, kb_relative_information_score: 581.3774, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9404, predictive_accuracy: 0.9399, prior_entropy: 0.9297, recall: 0.9399, relative_absolute_error: 0.1694, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.4581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.9281, kappa: 0.8401, kb_relative_information_score: 587.2291, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9281, predictive_accuracy: 0.9285, prior_entropy: 0.9297, recall: 0.9285, relative_absolute_error: 0.1543, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.5034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9397, kappa: 0.8662, kb_relative_information_score: 598.7992, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9397, predictive_accuracy: 0.9399, prior_entropy: 0.9297, recall: 0.9399, relative_absolute_error: 0.1409, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9454, kappa: 0.8785, kb_relative_information_score: 589.0348, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9455, predictive_accuracy: 0.9456, prior_entropy: 0.9297, recall: 0.9456, relative_absolute_error: 0.1542, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9442, kappa: 0.8766, kb_relative_information_score: 601.0798, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9443, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.1387, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9442, kappa: 0.8766, kb_relative_information_score: 594.1415, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9443, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.4361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9368, kappa: 0.8596, kb_relative_information_score: 596.9729, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9368, predictive_accuracy: 0.9371, prior_entropy: 0.9297, recall: 0.9371, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.4431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9425, kappa: 0.8723, kb_relative_information_score: 596.6963, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9426, predictive_accuracy: 0.9428, prior_entropy: 0.9297, recall: 0.9428, relative_absolute_error: 0.1474, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.4319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9326, kappa: 0.8504, kb_relative_information_score: 591.8664, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9325, predictive_accuracy: 0.9328, prior_entropy: 0.9297, recall: 0.9328, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.4961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9354, kappa: 0.8565, kb_relative_information_score: 598.3169, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9354, predictive_accuracy: 0.9356, prior_entropy: 0.9297, recall: 0.9356, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.208, root_relative_squared_error: 0.4377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9441, kappa: 0.8761, kb_relative_information_score: 580.4197, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9441, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.1718, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.95, kappa: 0.8893, kb_relative_information_score: 604.5529, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.95, predictive_accuracy: 0.9499, prior_entropy: 0.9297, recall: 0.9499, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.191, root_relative_squared_error: 0.4018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9399, kappa: 0.8667, kb_relative_information_score: 589.1438, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9398, predictive_accuracy: 0.9399, prior_entropy: 0.9297, recall: 0.9399, relative_absolute_error: 0.1551, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.4298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9413, kappa: 0.8701, kb_relative_information_score: 592.4381, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9413, predictive_accuracy: 0.9413, prior_entropy: 0.9297, recall: 0.9413, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9441, kappa: 0.8761, kb_relative_information_score: 581.1297, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9441, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.1722, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.4393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9402, kappa: 0.8683, kb_relative_information_score: 575.8686, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9409, predictive_accuracy: 0.9399, prior_entropy: 0.9297, recall: 0.9399, relative_absolute_error: 0.1785, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9399, kappa: 0.867, kb_relative_information_score: 587.2489, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9399, predictive_accuracy: 0.9399, prior_entropy: 0.9297, recall: 0.9399, relative_absolute_error: 0.1574, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.4669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9514, kappa: 0.8923, kb_relative_information_score: 605.1905, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9514, predictive_accuracy: 0.9514, prior_entropy: 0.9297, recall: 0.9514, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.19, root_relative_squared_error: 0.3999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9373, kappa: 0.862, kb_relative_information_score: 580.7575, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.938, predictive_accuracy: 0.9371, prior_entropy: 0.9297, recall: 0.9371, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.4599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9382, kappa: 0.8626, kb_relative_information_score: 600.544, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9383, predictive_accuracy: 0.9385, prior_entropy: 0.9297, recall: 0.9385, relative_absolute_error: 0.1376, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.4553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9529, kappa: 0.896, kb_relative_information_score: 602.6082, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9531, predictive_accuracy: 0.9528, prior_entropy: 0.9297, recall: 0.9528, relative_absolute_error: 0.1373, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.4035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9427, kappa: 0.8731, kb_relative_information_score: 596.4612, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9427, predictive_accuracy: 0.9428, prior_entropy: 0.9297, recall: 0.9428, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9413, kappa: 0.8701, kb_relative_information_score: 593.0603, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9413, predictive_accuracy: 0.9413, prior_entropy: 0.9297, recall: 0.9413, relative_absolute_error: 0.1511, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.4449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9356, kappa: 0.8574, kb_relative_information_score: 577.3545, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9356, predictive_accuracy: 0.9356, prior_entropy: 0.9297, recall: 0.9356, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.4592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9528, kappa: 0.8954, kb_relative_information_score: 609.7124, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9527, predictive_accuracy: 0.9528, prior_entropy: 0.9297, recall: 0.9528, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.4055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9412, kappa: 0.8695, kb_relative_information_score: 594.9563, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9412, predictive_accuracy: 0.9413, prior_entropy: 0.9297, recall: 0.9413, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9442, kappa: 0.8764, kb_relative_information_score: 595.436, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9442, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.149, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.4345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9367, kappa: 0.8593, kb_relative_information_score: 579.4585, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9368, predictive_accuracy: 0.9371, prior_entropy: 0.9297, recall: 0.9371, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9401, kappa: 0.868, kb_relative_information_score: 581.1044, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9406, predictive_accuracy: 0.9399, prior_entropy: 0.9297, recall: 0.9399, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.4601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9368, kappa: 0.8596, kb_relative_information_score: 600.4412, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9368, predictive_accuracy: 0.9371, prior_entropy: 0.9297, recall: 0.9371, relative_absolute_error: 0.1364, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.208, root_relative_squared_error: 0.4377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9369, kappa: 0.8599, kb_relative_information_score: 595.809, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9368, predictive_accuracy: 0.9371, prior_entropy: 0.9297, recall: 0.9371, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.4437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9358, kappa: 0.8585, kb_relative_information_score: 581.6009, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9363, predictive_accuracy: 0.9356, prior_entropy: 0.9297, recall: 0.9356, relative_absolute_error: 0.1669, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9513, kappa: 0.8921, kb_relative_information_score: 604.1389, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9513, predictive_accuracy: 0.9514, prior_entropy: 0.9297, recall: 0.9514, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.4016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9397, kappa: 0.8662, kb_relative_information_score: 595.9292, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9397, predictive_accuracy: 0.9399, prior_entropy: 0.9297, recall: 0.9399, relative_absolute_error: 0.1455, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9353, kappa: 0.856, kb_relative_information_score: 578.3555, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9354, predictive_accuracy: 0.9356, prior_entropy: 0.9297, recall: 0.9356, relative_absolute_error: 0.172, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.94, kappa: 0.8673, kb_relative_information_score: 587.5201, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.94, predictive_accuracy: 0.9399, prior_entropy: 0.9297, recall: 0.9399, relative_absolute_error: 0.1607, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.4462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9381, kappa: 0.8624, kb_relative_information_score: 580.7686, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9383, predictive_accuracy: 0.9385, prior_entropy: 0.9297, recall: 0.9385, relative_absolute_error: 0.1687, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9439, kappa: 0.8752, kb_relative_information_score: 589.1104, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9441, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.947, kappa: 0.8827, kb_relative_information_score: 594.6137, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.947, predictive_accuracy: 0.9471, prior_entropy: 0.9297, recall: 0.9471, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.4368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9415, kappa: 0.8708, kb_relative_information_score: 591.0292, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9417, predictive_accuracy: 0.9413, prior_entropy: 0.9297, recall: 0.9413, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.4543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9415, kappa: 0.8708, kb_relative_information_score: 592.3373, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9417, predictive_accuracy: 0.9413, prior_entropy: 0.9297, recall: 0.9413, relative_absolute_error: 0.1511, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9442, kappa: 0.8766, kb_relative_information_score: 592.3139, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9443, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.1507, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.4535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9385, kappa: 0.8637, kb_relative_information_score: 583.5371, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9384, predictive_accuracy: 0.9385, prior_entropy: 0.9297, recall: 0.9385, relative_absolute_error: 0.1661, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9385, kappa: 0.864, kb_relative_information_score: 581.967, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9385, predictive_accuracy: 0.9385, prior_entropy: 0.9297, recall: 0.9385, relative_absolute_error: 0.1675, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.4412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9527, kappa: 0.8952, kb_relative_information_score: 608.5771, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9527, predictive_accuracy: 0.9528, prior_entropy: 0.9297, recall: 0.9528, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9355, kappa: 0.8571, kb_relative_information_score: 591.0627, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9355, predictive_accuracy: 0.9356, prior_entropy: 0.9297, recall: 0.9356, relative_absolute_error: 0.1536, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.4515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9513, kappa: 0.8921, kb_relative_information_score: 604.7637, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9513, predictive_accuracy: 0.9514, prior_entropy: 0.9297, recall: 0.9514, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.3986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9402, kappa: 0.8683, kb_relative_information_score: 575.8686, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9409, predictive_accuracy: 0.9399, prior_entropy: 0.9297, recall: 0.9399, relative_absolute_error: 0.1785, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.4495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9352, kappa: 0.8557, kb_relative_information_score: 578.5625, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9355, predictive_accuracy: 0.9356, prior_entropy: 0.9297, recall: 0.9356, relative_absolute_error: 0.1716, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9429, kappa: 0.8741, kb_relative_information_score: 577.3192, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9433, predictive_accuracy: 0.9428, prior_entropy: 0.9297, recall: 0.9428, relative_absolute_error: 0.1759, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9427, kappa: 0.8728, kb_relative_information_score: 602.1772, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9426, predictive_accuracy: 0.9428, prior_entropy: 0.9297, recall: 0.9428, relative_absolute_error: 0.1355, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.4309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9367, kappa: 0.8593, kb_relative_information_score: 579.3584, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9368, predictive_accuracy: 0.9371, prior_entropy: 0.9297, recall: 0.9371, relative_absolute_error: 0.1707, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9399, kappa: 0.867, kb_relative_information_score: 597.0301, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9399, predictive_accuracy: 0.9399, prior_entropy: 0.9297, recall: 0.9399, relative_absolute_error: 0.1437, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.4543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9499, kappa: 0.8888, kb_relative_information_score: 605.8037, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9498, predictive_accuracy: 0.9499, prior_entropy: 0.9297, recall: 0.9499, relative_absolute_error: 0.1314, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.94, kappa: 0.8673, kb_relative_information_score: 587.4808, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.94, predictive_accuracy: 0.9399, prior_entropy: 0.9297, recall: 0.9399, relative_absolute_error: 0.1607, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9414, kappa: 0.8706, kb_relative_information_score: 593.9352, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9416, predictive_accuracy: 0.9413, prior_entropy: 0.9297, recall: 0.9413, relative_absolute_error: 0.1502, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.4412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9358, kappa: 0.8585, kb_relative_information_score: 584.4192, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9363, predictive_accuracy: 0.9356, prior_entropy: 0.9297, recall: 0.9356, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.4605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9441, kappa: 0.8759, kb_relative_information_score: 602.0962, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.944, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.4244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9399, kappa: 0.867, kb_relative_information_score: 589.3636, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9399, predictive_accuracy: 0.9399, prior_entropy: 0.9297, recall: 0.9399, relative_absolute_error: 0.1553, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.4575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9456, kappa: 0.8797, kb_relative_information_score: 604.3295, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9456, predictive_accuracy: 0.9456, prior_entropy: 0.9297, recall: 0.9456, relative_absolute_error: 0.1342, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.4066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9385, kappa: 0.8637, kb_relative_information_score: 584.0099, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9384, predictive_accuracy: 0.9385, prior_entropy: 0.9297, recall: 0.9385, relative_absolute_error: 0.1653, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.4515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9367, kappa: 0.859, kb_relative_information_score: 579.6655, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9369, predictive_accuracy: 0.9371, prior_entropy: 0.9297, recall: 0.9371, relative_absolute_error: 0.1701, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.214, root_relative_squared_error: 0.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9484, kappa: 0.8858, kb_relative_information_score: 608.7699, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9484, predictive_accuracy: 0.9485, prior_entropy: 0.9297, recall: 0.9485, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9412, kappa: 0.8695, kb_relative_information_score: 587.1904, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9412, predictive_accuracy: 0.9413, prior_entropy: 0.9297, recall: 0.9413, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.4361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9368, kappa: 0.8596, kb_relative_information_score: 597.5569, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9368, predictive_accuracy: 0.9371, prior_entropy: 0.9297, recall: 0.9371, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.4812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9401, kappa: 0.8678, kb_relative_information_score: 581.6074, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9404, predictive_accuracy: 0.9399, prior_entropy: 0.9297, recall: 0.9399, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9441, kappa: 0.8761, kb_relative_information_score: 580.4197, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9441, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.1718, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9399, kappa: 0.8667, kb_relative_information_score: 589.1438, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9398, predictive_accuracy: 0.9399, prior_entropy: 0.9297, recall: 0.9399, relative_absolute_error: 0.1551, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.4298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.9296, kappa: 0.8438, kb_relative_information_score: 591.3735, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9296, predictive_accuracy: 0.9299, prior_entropy: 0.9297, recall: 0.9299, relative_absolute_error: 0.1481, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.4927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9456, kappa: 0.8797, kb_relative_information_score: 603.6755, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9456, predictive_accuracy: 0.9456, prior_entropy: 0.9297, recall: 0.9456, relative_absolute_error: 0.1355, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.4069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9441, kappa: 0.8761, kb_relative_information_score: 581.1297, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9441, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.1722, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.4393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9382, kappa: 0.8626, kb_relative_information_score: 580.4614, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9383, predictive_accuracy: 0.9385, prior_entropy: 0.9297, recall: 0.9385, relative_absolute_error: 0.1693, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9385, kappa: 0.864, kb_relative_information_score: 582.6102, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9385, predictive_accuracy: 0.9385, prior_entropy: 0.9297, recall: 0.9385, relative_absolute_error: 0.1662, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.4406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9428, kappa: 0.8736, kb_relative_information_score: 599.7737, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9429, predictive_accuracy: 0.9428, prior_entropy: 0.9297, recall: 0.9428, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9442, kappa: 0.8766, kb_relative_information_score: 594.7248, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9443, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9412, kappa: 0.8695, kb_relative_information_score: 587.4862, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9412, predictive_accuracy: 0.9413, prior_entropy: 0.9297, recall: 0.9413, relative_absolute_error: 0.1556, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9441, kappa: 0.8761, kb_relative_information_score: 581.1297, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9441, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.1722, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.4393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9442, kappa: 0.8766, kb_relative_information_score: 592.979, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9443, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.1515, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.211, root_relative_squared_error: 0.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9455, kappa: 0.8792, kb_relative_information_score: 605.1688, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9455, predictive_accuracy: 0.9456, prior_entropy: 0.9297, recall: 0.9456, relative_absolute_error: 0.1321, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.4118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9371, kappa: 0.861, kb_relative_information_score: 575.5239, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9372, predictive_accuracy: 0.9371, prior_entropy: 0.9297, recall: 0.9371, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.4576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9358, kappa: 0.8585, kb_relative_information_score: 585.0218, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9363, predictive_accuracy: 0.9356, prior_entropy: 0.9297, recall: 0.9356, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9372, kappa: 0.8615, kb_relative_information_score: 585.5218, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9376, predictive_accuracy: 0.9371, prior_entropy: 0.9297, recall: 0.9371, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.4573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9441, kappa: 0.8761, kb_relative_information_score: 581.1297, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9441, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.1722, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.4393,

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