OpenML
Supervised Classification on wdbc

Supervised Classification on wdbc

Task 9946 Supervised Classification wdbc 147945 runs submitted
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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: 0.918, f_measure: 0.9356, kappa: 0.8607, kb_relative_information_score: 489.6142, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9404, 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: 0.9507, f_measure: 0.9526, kappa: 0.8988, kb_relative_information_score: 509.4107, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9527, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.1015, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9681, kappa: 0.9313, kb_relative_information_score: 529.2073, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9695, 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: 0.5977, f_measure: 0.6286, kappa: 0.233, kb_relative_information_score: 192.666, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.7886, predictive_accuracy: 0.6995, prior_entropy: 0.953, recall: 0.6995, relative_absolute_error: 0.6426, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.5482, root_relative_squared_error: 1.1338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.4918, kappa: 0.0118, kb_relative_information_score: 106.881, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.7676, predictive_accuracy: 0.6309, prior_entropy: 0.953, recall: 0.6309, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6075, root_relative_squared_error: 1.2565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.9445, kappa: 0.8799, kb_relative_information_score: 500.6123, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9499, 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: 0.853, f_measure: 0.8614, kappa: 0.7039, kb_relative_information_score: 395.0307, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8616, 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: 0.9099, f_measure: 0.93, kappa: 0.8483, kb_relative_information_score: 483.0153, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9366, predictive_accuracy: 0.9315, prior_entropy: 0.953, recall: 0.9315, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.5415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, f_measure: 0.846, kappa: 0.6655, kb_relative_information_score: 388.4318, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8828, predictive_accuracy: 0.8559, prior_entropy: 0.953, recall: 0.8559, relative_absolute_error: 0.3082, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.7852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.9359, kappa: 0.8618, kb_relative_information_score: 489.6142, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9383, 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: 0.929, f_measure: 0.9349, kappa: 0.8605, kb_relative_information_score: 487.4146, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9348, 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: 0.9704, 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: 0.5, 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: 0.9266, f_measure: 0.9363, kappa: 0.8631, kb_relative_information_score: 489.6142, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9368, 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: 0.8384, f_measure: 0.8489, kappa: 0.6767, kb_relative_information_score: 379.6334, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8489, predictive_accuracy: 0.8489, prior_entropy: 0.953, recall: 0.8489, relative_absolute_error: 0.3232, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.8041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.907, kappa: 0.8013, kb_relative_information_score: 452.2207, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9072, predictive_accuracy: 0.9069, prior_entropy: 0.953, recall: 0.9069, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.9448, kappa: 0.8808, kb_relative_information_score: 500.6123, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9475, 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: 0.4286, f_measure: 0.4388, kappa: -0.1689, kb_relative_information_score: -9.6987, mean_absolute_error: 0.4622, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3706, predictive_accuracy: 0.5378, prior_entropy: 0.953, recall: 0.5378, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6799, root_relative_squared_error: 1.4062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.8984, kappa: 0.7836, kb_relative_information_score: 441.2226, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8992, 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: 0.934, 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: 0.8934, f_measure: 0.917, kappa: 0.8198, kb_relative_information_score: 467.618, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9264, predictive_accuracy: 0.9192, prior_entropy: 0.953, recall: 0.9192, relative_absolute_error: 0.1729, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.5881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9355, kappa: 0.8634, kb_relative_information_score: 487.4146, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9381, 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: 0.955, 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: 0.8042, f_measure: 0.844, kappa: 0.661, kb_relative_information_score: 386.2322, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8816, predictive_accuracy: 0.8541, prior_entropy: 0.953, recall: 0.8541, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.7899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.8481, kappa: 0.6699, kb_relative_information_score: 390.6315, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.884, predictive_accuracy: 0.8576, prior_entropy: 0.953, recall: 0.8576, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.8946, kappa: 0.7745, kb_relative_information_score: 436.8234, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8946, 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: 0.9708, 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: 0.2489, f_measure: 0.2987, kappa: -0.5171, kb_relative_information_score: -293.4492, mean_absolute_error: 0.6889, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.2874, 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: 0.8727, f_measure: 0.879, kappa: 0.7419, kb_relative_information_score: 417.0269, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8794, predictive_accuracy: 0.8787, prior_entropy: 0.953, recall: 0.8787, relative_absolute_error: 0.2593, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6934, f_measure: 0.7386, kappa: 0.4418, kb_relative_information_score: 282.8503, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8325, predictive_accuracy: 0.7715, prior_entropy: 0.953, recall: 0.7715, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.478, root_relative_squared_error: 0.9886,
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: 0.8561, f_measure: 0.888, kappa: 0.7565, kb_relative_information_score: 434.6238, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9084, predictive_accuracy: 0.8928, prior_entropy: 0.953, recall: 0.8928, relative_absolute_error: 0.2292, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.6772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.8294, kappa: 0.6298, kb_relative_information_score: 370.8349, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8737, predictive_accuracy: 0.8418, prior_entropy: 0.953, recall: 0.8418, relative_absolute_error: 0.3382, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8226,
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: 0.8977, f_measure: 0.9191, kappa: 0.8246, kb_relative_information_score: 469.8177, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9262, predictive_accuracy: 0.9209, prior_entropy: 0.953, recall: 0.9209, relative_absolute_error: 0.1691, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.5816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.888, kappa: 0.7565, kb_relative_information_score: 434.6238, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9084, predictive_accuracy: 0.8928, prior_entropy: 0.953, recall: 0.8928, relative_absolute_error: 0.2292, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.6772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.8623, kappa: 0.7006, kb_relative_information_score: 406.0288, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8923, 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: 0.5165, f_measure: 0.5113, kappa: 0.0411, kb_relative_information_score: 117.879, mean_absolute_error: 0.3603, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.7711, predictive_accuracy: 0.6397, prior_entropy: 0.953, recall: 0.6397, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6002, root_relative_squared_error: 1.2415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.9519, kappa: 0.896, kb_relative_information_score: 509.4107, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9553, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.1015, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4737, f_measure: 0.5079, kappa: -0.0525, kb_relative_information_score: -47.0922, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.5079, predictive_accuracy: 0.5079, prior_entropy: 0.953, recall: 0.5079, relative_absolute_error: 1.0523, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.7015, root_relative_squared_error: 1.4509,
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: 0.9349, f_measure: 0.95, kappa: 0.8921, kb_relative_information_score: 507.2111, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9538, 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: 0.968, f_measure: 0.9718, kappa: 0.9396, 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: 0.917, f_measure: 0.9355, kappa: 0.8604, kb_relative_information_score: 489.6142, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.941, 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: 0.8581, f_measure: 0.8666, kappa: 0.7149, kb_relative_information_score: 401.6295, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8667, predictive_accuracy: 0.8664, prior_entropy: 0.953, recall: 0.8664, relative_absolute_error: 0.2856, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.7559,
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: 0.9713, 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: 0.9699, f_measure: 0.9753, kappa: 0.947, kb_relative_information_score: 538.0058, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9756, 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: 0.8788, f_measure: 0.8874, kappa: 0.759, kb_relative_information_score: 428.0249, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8873, 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: 0.9526, f_measure: 0.9527, kappa: 0.8992, kb_relative_information_score: 509.4107, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9532, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.1015, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.8123, kappa: 0.5934, kb_relative_information_score: 353.238, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8649, predictive_accuracy: 0.8278, prior_entropy: 0.953, recall: 0.8278, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 520.4088, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, 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: 0.9675, f_measure: 0.9735, kappa: 0.9431, kb_relative_information_score: 535.8061, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9739, 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: 0.9175, 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: 0.9713, f_measure: 0.9736, kappa: 0.9436, 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: 0.9609, 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: 0.9675, f_measure: 0.9735, kappa: 0.9431, kb_relative_information_score: 535.8061, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9739, 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: 0.9209, 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: 0.9403, f_measure: 0.9454, kappa: 0.8831, kb_relative_information_score: 500.6123, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9454, 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: 0.9633, f_measure: 0.9683, kappa: 0.9319, kb_relative_information_score: 529.2073, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9684, 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: 0.8874, f_measure: 0.9084, kappa: 0.8016, kb_relative_information_score: 456.62, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9143, 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: 0.9312, f_measure: 0.9252, kappa: 0.8421, kb_relative_information_score: 474.2169, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9295, 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: 0.5118, f_measure: 0.5036, kappa: 0.0294, kb_relative_information_score: 113.4798, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.7697, predictive_accuracy: 0.6362, prior_entropy: 0.953, recall: 0.6362, relative_absolute_error: 0.7779, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6032, root_relative_squared_error: 1.2475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.9298, kappa: 0.8499, kb_relative_information_score: 480.8157, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9299, predictive_accuracy: 0.9297, prior_entropy: 0.953, recall: 0.9297, relative_absolute_error: 0.1503, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.5484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 507.2111, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9508, 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: 0.9459, f_measure: 0.9524, kappa: 0.8978, kb_relative_information_score: 509.4107, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.1015, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9597, kappa: 0.914, kb_relative_information_score: 518.2092, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9599, 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: 0.2405, f_measure: 0.2909, kappa: -0.5313, kb_relative_information_score: -306.6469, mean_absolute_error: 0.6995, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.2819, predictive_accuracy: 0.3005, prior_entropy: 0.953, recall: 0.3005, relative_absolute_error: 1.4957, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.8363, root_relative_squared_error: 1.7298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9632, kappa: 0.9214, kb_relative_information_score: 522.6084, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9634, predictive_accuracy: 0.9631, prior_entropy: 0.953, recall: 0.9631, relative_absolute_error: 0.0789, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.3973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9771, kappa: 0.9509, kb_relative_information_score: 540.2054, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9772, 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: 0.9418, f_measure: 0.9439, kappa: 0.8802, kb_relative_information_score: 498.4127, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9441, 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: 0.5094, 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: 0.953, 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: 0.9699, f_measure: 0.9753, kappa: 0.947, kb_relative_information_score: 538.0058, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9756, 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: 0.8417, f_measure: 0.8508, kappa: 0.6814, kb_relative_information_score: 381.833, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8511, predictive_accuracy: 0.8506, prior_entropy: 0.953, recall: 0.8506, relative_absolute_error: 0.3194, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.7994,
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: 0.5, 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: 0.8712, f_measure: 0.8804, kappa: 0.7439, kb_relative_information_score: 419.2265, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8803, predictive_accuracy: 0.8805, prior_entropy: 0.953, recall: 0.8805, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.6208, kappa: 0.2205, kb_relative_information_score: 188.2668, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.7952, predictive_accuracy: 0.696, prior_entropy: 0.953, recall: 0.696, relative_absolute_error: 0.6502, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.1405,
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: 0.9629, f_measure: 0.9632, kappa: 0.9214, kb_relative_information_score: 522.6084, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9634, predictive_accuracy: 0.9631, prior_entropy: 0.953, recall: 0.9631, relative_absolute_error: 0.0789, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.3973,
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: 0.9316, 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: 0.9004, f_measure: 0.9053, kappa: 0.7978, kb_relative_information_score: 450.0211, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9055, predictive_accuracy: 0.9051, prior_entropy: 0.953, recall: 0.9051, relative_absolute_error: 0.2029, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.6372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.9182, kappa: 0.8278, kb_relative_information_score: 465.4184, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9233, predictive_accuracy: 0.9174, prior_entropy: 0.953, recall: 0.9174, relative_absolute_error: 0.1766, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.5944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.9506, kappa: 0.8941, 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: 0.9487, f_measure: 0.9559, kappa: 0.9052, kb_relative_information_score: 513.81, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9562, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.094, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.4335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9632, kappa: 0.9214, kb_relative_information_score: 522.6084, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9634, predictive_accuracy: 0.9631, prior_entropy: 0.953, recall: 0.9631, relative_absolute_error: 0.0789, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.3973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.9246, kappa: 0.8391, kb_relative_information_score: 474.2169, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9249, 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: 0.9281, f_measure: 0.9348, kappa: 0.8602, kb_relative_information_score: 487.4146, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9348, 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: 0.9615, f_measure: 0.9648, kappa: 0.9247, kb_relative_information_score: 524.8081, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9648, 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: 0.6108, 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: 0.9316, 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: 0.9494, f_measure: 0.9476, kappa: 0.8885, kb_relative_information_score: 502.8119, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9487, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.4749,
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: 0.934, 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: 0.9587, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 520.4088, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, 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: 0.9609, 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,

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