OpenML
Supervised Classification on wdbc

Supervised Classification on wdbc

Task 9946 Supervised Classification wdbc 147945 runs submitted
1 likes downloaded by 2 people , 2 total downloads 0 issues
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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147945 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.9544, kappa: 0.9026, kb_relative_information_score: 511.6104, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9546, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.4421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9718, kappa: 0.9395, kb_relative_information_score: 533.6065, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 0.953, recall: 0.9719, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.3468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.9, kappa: 0.7826, kb_relative_information_score: 447.8215, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9139, predictive_accuracy: 0.9033, prior_entropy: 0.953, recall: 0.9033, relative_absolute_error: 0.2067, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.8756, kappa: 0.7349, kb_relative_information_score: 412.6276, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8763, predictive_accuracy: 0.8752, prior_entropy: 0.953, recall: 0.8752, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.7306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.8388, kappa: 0.6561, kb_relative_information_score: 366.4357, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8394, predictive_accuracy: 0.8383, prior_entropy: 0.953, recall: 0.8383, relative_absolute_error: 0.3457, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.8893, kappa: 0.7634, kb_relative_information_score: 430.2246, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8894, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.2368, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.6882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.9106, kappa: 0.8092, kb_relative_information_score: 456.62, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9109, predictive_accuracy: 0.9104, prior_entropy: 0.953, recall: 0.9104, relative_absolute_error: 0.1917, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.6192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4437, f_measure: 0.4798, kappa: -0.1127, kb_relative_information_score: -82.286, mean_absolute_error: 0.5202, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.4798, predictive_accuracy: 0.4798, prior_entropy: 0.953, recall: 0.4798, relative_absolute_error: 1.1124, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.7213, root_relative_squared_error: 1.4918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.7925, kappa: 0.5518, kb_relative_information_score: 333.4414, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8553, predictive_accuracy: 0.812, prior_entropy: 0.953, recall: 0.812, relative_absolute_error: 0.4021, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6108, f_measure: 0.6449, kappa: 0.2633, kb_relative_information_score: 205.8637, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8017, predictive_accuracy: 0.71, prior_entropy: 0.953, recall: 0.71, relative_absolute_error: 0.6201, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.5385, root_relative_squared_error: 1.1138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9682, kappa: 0.9317, kb_relative_information_score: 529.2073, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9687, predictive_accuracy: 0.9684, prior_entropy: 0.953, recall: 0.9684, relative_absolute_error: 0.0676, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.9597, kappa: 0.9141, kb_relative_information_score: 518.2092, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9601, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.0864, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 102.4817, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.9455, kappa: 0.8836, kb_relative_information_score: 500.6123, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9456, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.1165, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.9614, kappa: 0.9178, kb_relative_information_score: 520.4088, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9618, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.4067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9789, kappa: 0.9547, kb_relative_information_score: 542.405, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.953, recall: 0.9789, relative_absolute_error: 0.0451, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.95, kappa: 0.8918, kb_relative_information_score: 507.2111, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9544, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.1052, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.4588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.9545, kappa: 0.903, kb_relative_information_score: 511.6104, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.955, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.4421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9753, kappa: 0.9472, kb_relative_information_score: 538.0058, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9754, predictive_accuracy: 0.9754, prior_entropy: 0.953, recall: 0.9754, relative_absolute_error: 0.0526, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.3244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.8645, kappa: 0.7097, kb_relative_information_score: 399.4299, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8643, predictive_accuracy: 0.8647, prior_entropy: 0.953, recall: 0.8647, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.8823, kappa: 0.7484, kb_relative_information_score: 421.4261, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8824, predictive_accuracy: 0.8822, prior_entropy: 0.953, recall: 0.8822, relative_absolute_error: 0.2518, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.7097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.9139, kappa: 0.816, kb_relative_information_score: 461.0192, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.914, predictive_accuracy: 0.9139, prior_entropy: 0.953, recall: 0.9139, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9717, kappa: 0.9392, kb_relative_information_score: 533.6065, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9725, predictive_accuracy: 0.9719, prior_entropy: 0.953, recall: 0.9719, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.3468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 102.4817, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 102.4817, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.8595, kappa: 0.6999, kb_relative_information_score: 392.8311, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8597, predictive_accuracy: 0.8594, prior_entropy: 0.953, recall: 0.8594, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.375, root_relative_squared_error: 0.7755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.9645, kappa: 0.9235, kb_relative_information_score: 524.8081, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9663, predictive_accuracy: 0.9649, prior_entropy: 0.953, recall: 0.9649, relative_absolute_error: 0.0752, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.3878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9507, kappa: 0.8943, kb_relative_information_score: 507.2111, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9507, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.1052, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.4588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2172, f_measure: 0.2682, kappa: -0.5668, kb_relative_information_score: -346.24, mean_absolute_error: 0.7311, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.2675, predictive_accuracy: 0.2689, prior_entropy: 0.953, recall: 0.2689, relative_absolute_error: 1.5634, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.855, root_relative_squared_error: 1.7685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.9364, kappa: 0.8634, kb_relative_information_score: 489.6142, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9367, predictive_accuracy: 0.9367, prior_entropy: 0.953, recall: 0.9367, relative_absolute_error: 0.1353, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.5202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9649, kappa: 0.9251, kb_relative_information_score: 524.8081, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9651, predictive_accuracy: 0.9649, prior_entropy: 0.953, recall: 0.9649, relative_absolute_error: 0.0752, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.3878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8851, kappa: 0.7531, kb_relative_information_score: 425.8253, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8852, predictive_accuracy: 0.8858, prior_entropy: 0.953, recall: 0.8858, relative_absolute_error: 0.2443, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.338, root_relative_squared_error: 0.6991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.903, kappa: 0.7919, kb_relative_information_score: 447.8215, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9029, predictive_accuracy: 0.9033, prior_entropy: 0.953, recall: 0.9033, relative_absolute_error: 0.2067, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.9326, kappa: 0.8549, kb_relative_information_score: 485.215, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9337, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.5345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.9406, kappa: 0.8741, kb_relative_information_score: 494.0134, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9426, predictive_accuracy: 0.9402, prior_entropy: 0.953, recall: 0.9402, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.5056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.9286, kappa: 0.8492, kb_relative_information_score: 478.6161, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9324, predictive_accuracy: 0.9279, prior_entropy: 0.953, recall: 0.9279, relative_absolute_error: 0.1541, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.5552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.9545, kappa: 0.903, kb_relative_information_score: 511.6104, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.955, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.4421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.9354, kappa: 0.8601, kb_relative_information_score: 489.6142, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9417, predictive_accuracy: 0.9367, prior_entropy: 0.953, recall: 0.9367, relative_absolute_error: 0.1353, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.5202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.9263, kappa: 0.8427, kb_relative_information_score: 476.4165, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9266, predictive_accuracy: 0.9262, prior_entropy: 0.953, recall: 0.9262, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.8944, kappa: 0.774, kb_relative_information_score: 436.8234, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8944, predictive_accuracy: 0.8946, prior_entropy: 0.953, recall: 0.8946, relative_absolute_error: 0.2255, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5542, f_measure: 0.569, kappa: 0.1325, kb_relative_information_score: 153.0729, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.7828, predictive_accuracy: 0.6678, prior_entropy: 0.953, recall: 0.6678, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.5763, root_relative_squared_error: 1.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9771, kappa: 0.9508, kb_relative_information_score: 540.2054, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9773, predictive_accuracy: 0.9772, prior_entropy: 0.953, recall: 0.9772, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8856, kappa: 0.755, kb_relative_information_score: 425.8253, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8855, predictive_accuracy: 0.8858, prior_entropy: 0.953, recall: 0.8858, relative_absolute_error: 0.2443, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.338, root_relative_squared_error: 0.6991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.9491, kappa: 0.8913, kb_relative_information_score: 505.0115, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9492, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.109, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.8842, kappa: 0.7528, kb_relative_information_score: 423.6257, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8845, predictive_accuracy: 0.884, prior_entropy: 0.953, recall: 0.884, relative_absolute_error: 0.248, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.7044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.8404, kappa: 0.6596, kb_relative_information_score: 368.6353, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8409, predictive_accuracy: 0.8401, prior_entropy: 0.953, recall: 0.8401, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8878, kappa: 0.7608, kb_relative_information_score: 428.0249, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8883, predictive_accuracy: 0.8875, prior_entropy: 0.953, recall: 0.8875, relative_absolute_error: 0.2405, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.6937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9699, kappa: 0.9352, kb_relative_information_score: 531.4069, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9711, predictive_accuracy: 0.9701, prior_entropy: 0.953, recall: 0.9701, relative_absolute_error: 0.0639, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.3575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.9614, kappa: 0.9176, kb_relative_information_score: 520.4088, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9616, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.4067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.9427, kappa: 0.8759, kb_relative_information_score: 498.4127, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9484, predictive_accuracy: 0.9438, prior_entropy: 0.953, recall: 0.9438, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.4905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 518.2092, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.0864, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9771, kappa: 0.9508, kb_relative_information_score: 540.2054, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9773, predictive_accuracy: 0.9772, prior_entropy: 0.953, recall: 0.9772, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9771, kappa: 0.9508, kb_relative_information_score: 540.2054, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9773, predictive_accuracy: 0.9772, prior_entropy: 0.953, recall: 0.9772, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.8617, kappa: 0.7056, kb_relative_information_score: 395.0307, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8627, predictive_accuracy: 0.8612, prior_entropy: 0.953, recall: 0.8612, relative_absolute_error: 0.2969, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.7707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.8842, kappa: 0.7528, kb_relative_information_score: 423.6257, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8845, predictive_accuracy: 0.884, prior_entropy: 0.953, recall: 0.884, relative_absolute_error: 0.248, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.7044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9753, kappa: 0.9471, kb_relative_information_score: 538.0058, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9755, predictive_accuracy: 0.9754, prior_entropy: 0.953, recall: 0.9754, relative_absolute_error: 0.0526, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.3244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.8873, kappa: 0.7585, kb_relative_information_score: 428.0249, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8872, predictive_accuracy: 0.8875, prior_entropy: 0.953, recall: 0.8875, relative_absolute_error: 0.2405, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.6937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5607, f_measure: 0.5879, kappa: 0.1208, kb_relative_information_score: 51.8906, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.589, predictive_accuracy: 0.587, prior_entropy: 0.953, recall: 0.587, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6427, root_relative_squared_error: 1.3292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9493, kappa: 0.8921, kb_relative_information_score: 505.0115, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9503, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.109, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 102.4817, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2068, f_measure: 0.2583, kappa: -0.5863, kb_relative_information_score: -359.4377, mean_absolute_error: 0.7417, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.2583, predictive_accuracy: 0.2583, prior_entropy: 0.953, recall: 0.2583, relative_absolute_error: 1.5859, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.8612, root_relative_squared_error: 1.7812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9735, kappa: 0.9429, kb_relative_information_score: 535.8061, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9744, predictive_accuracy: 0.9736, prior_entropy: 0.953, recall: 0.9736, relative_absolute_error: 0.0564, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9596, kappa: 0.9138, kb_relative_information_score: 518.2092, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9597, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.0864, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9682, kappa: 0.9318, kb_relative_information_score: 529.2073, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9685, predictive_accuracy: 0.9684, prior_entropy: 0.953, recall: 0.9684, relative_absolute_error: 0.0676, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 102.4817, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 102.4817, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9735, kappa: 0.943, kb_relative_information_score: 535.8061, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9741, predictive_accuracy: 0.9736, prior_entropy: 0.953, recall: 0.9736, relative_absolute_error: 0.0564, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.9138, kappa: 0.8156, kb_relative_information_score: 461.0192, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9138, predictive_accuracy: 0.9139, prior_entropy: 0.953, recall: 0.9139, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.9419, kappa: 0.8756, kb_relative_information_score: 496.213, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9419, predictive_accuracy: 0.942, prior_entropy: 0.953, recall: 0.942, relative_absolute_error: 0.124, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.4981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9667, kappa: 0.9288, kb_relative_information_score: 527.0077, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9668, predictive_accuracy: 0.9666, prior_entropy: 0.953, recall: 0.9666, relative_absolute_error: 0.0714, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.3779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.8694, kappa: 0.7197, kb_relative_information_score: 406.0288, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8693, predictive_accuracy: 0.8699, prior_entropy: 0.953, recall: 0.8699, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.8875, kappa: 0.7594, kb_relative_information_score: 428.0249, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8875, predictive_accuracy: 0.8875, prior_entropy: 0.953, recall: 0.8875, relative_absolute_error: 0.2405, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.6937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.977, kappa: 0.9507, kb_relative_information_score: 540.2054, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9775, predictive_accuracy: 0.9772, prior_entropy: 0.953, recall: 0.9772, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9699, kappa: 0.9352, kb_relative_information_score: 531.4069, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9711, predictive_accuracy: 0.9701, prior_entropy: 0.953, recall: 0.9701, relative_absolute_error: 0.0639, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.3575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9667, kappa: 0.9289, kb_relative_information_score: 527.0077, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9669, predictive_accuracy: 0.9666, prior_entropy: 0.953, recall: 0.9666, relative_absolute_error: 0.0714, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.3779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9753, kappa: 0.9471, kb_relative_information_score: 538.0058, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9755, predictive_accuracy: 0.9754, prior_entropy: 0.953, recall: 0.9754, relative_absolute_error: 0.0526, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.3244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.95, kappa: 0.8918, kb_relative_information_score: 507.2111, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9544, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.1052, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.4588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2632, f_measure: 0.3111, kappa: -0.4735, kb_relative_information_score: -293.4492, mean_absolute_error: 0.6889, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3111, predictive_accuracy: 0.3111, prior_entropy: 0.953, recall: 0.3111, relative_absolute_error: 1.4732, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.83, root_relative_squared_error: 1.7167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.894, kappa: 0.7696, kb_relative_information_score: 441.2226, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.911, predictive_accuracy: 0.8981, prior_entropy: 0.953, recall: 0.8981, relative_absolute_error: 0.218, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.9034, kappa: 0.7935, kb_relative_information_score: 447.8215, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9034, predictive_accuracy: 0.9033, prior_entropy: 0.953, recall: 0.9033, relative_absolute_error: 0.2067, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 102.4817, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.9372, kappa: 0.8639, kb_relative_information_score: 491.8138, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.944, predictive_accuracy: 0.9385, prior_entropy: 0.953, recall: 0.9385, relative_absolute_error: 0.1315, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.248, root_relative_squared_error: 0.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9649, kappa: 0.925, kb_relative_information_score: 524.8081, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.953, recall: 0.9649, relative_absolute_error: 0.0752, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.3878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9736, kappa: 0.9435, kb_relative_information_score: 535.8061, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9736, predictive_accuracy: 0.9736, prior_entropy: 0.953, recall: 0.9736, relative_absolute_error: 0.0564, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.9482, kappa: 0.8879, kb_relative_information_score: 505.0115, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9529, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.109, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9771, kappa: 0.9508, kb_relative_information_score: 540.2054, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9773, predictive_accuracy: 0.9772, prior_entropy: 0.953, recall: 0.9772, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5094, f_measure: 0.4997, kappa: 0.0236, kb_relative_information_score: 111.2802, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.769, predictive_accuracy: 0.6344, prior_entropy: 0.953, recall: 0.6344, relative_absolute_error: 0.7817, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6046, root_relative_squared_error: 1.2505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.9165, kappa: 0.8243, kb_relative_information_score: 463.2188, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9219, predictive_accuracy: 0.9156, prior_entropy: 0.953, recall: 0.9156, relative_absolute_error: 0.1804, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.6007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9824, kappa: 0.9622, kb_relative_information_score: 546.8042, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9826, predictive_accuracy: 0.9824, prior_entropy: 0.953, recall: 0.9824, relative_absolute_error: 0.0376, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.2742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.9545, kappa: 0.903, kb_relative_information_score: 511.6104, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.955, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.4421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.9429, kappa: 0.8766, kb_relative_information_score: 498.4127, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9465, predictive_accuracy: 0.9438, prior_entropy: 0.953, recall: 0.9438, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.4905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 102.4817, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.9067, kappa: 0.7979, kb_relative_information_score: 454.4203, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9122, predictive_accuracy: 0.9086, prior_entropy: 0.953, recall: 0.9086, relative_absolute_error: 0.1954, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.6253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.9245, kappa: 0.8385, kb_relative_information_score: 474.2169, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9245, predictive_accuracy: 0.9244, prior_entropy: 0.953, recall: 0.9244, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.8983, kappa: 0.7832, kb_relative_information_score: 441.2226, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8988, predictive_accuracy: 0.8981, prior_entropy: 0.953, recall: 0.8981, relative_absolute_error: 0.218, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.9346, kappa: 0.8594, kb_relative_information_score: 487.4146, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.935, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.1391, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.8273, kappa: 0.6253, kb_relative_information_score: 368.6353, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8726, predictive_accuracy: 0.8401, prior_entropy: 0.953, recall: 0.8401, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9507, kappa: 0.8943, kb_relative_information_score: 507.2111, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9507, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.1052, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.4588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9596, kappa: 0.9138, kb_relative_information_score: 518.2092, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9597, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.0864, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 102.4817, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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

OpenML APIs