Task
Supervised Classification on wdbc

Supervised Classification on wdbc

Task 511 Supervised Classification wdbc 321 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.9383, kappa: 0.8678, kb_relative_information_score: 0.8594, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9385, number_of_instances: 569, precision: 0.9383, predictive_accuracy: 0.9385, prior_entropy: 0.9526, relative_absolute_error: 0.1393, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2401, root_relative_squared_error: 0.4967, unweighted_recall: 0.9318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.9436, kappa: 0.8792, kb_relative_information_score: 0.8678, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9438, number_of_instances: 569, precision: 0.9436, predictive_accuracy: 0.9438, prior_entropy: 0.9526, relative_absolute_error: 0.1308, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4769, unweighted_recall: 0.9379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.9331, kappa: 0.8566, kb_relative_information_score: 0.8478, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9332, number_of_instances: 569, precision: 0.9331, predictive_accuracy: 0.9332, prior_entropy: 0.9526, relative_absolute_error: 0.1505, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.5189, unweighted_recall: 0.9267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.9366, kappa: 0.8642, kb_relative_information_score: 0.8523, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9367, number_of_instances: 569, precision: 0.9366, predictive_accuracy: 0.9367, prior_entropy: 0.9526, relative_absolute_error: 0.1458, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.5074, unweighted_recall: 0.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 0.3857, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.4676, weighted_recall: 0.8893, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.9526, relative_absolute_error: 0.6859, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7239, unweighted_recall: 0.8696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.8822, kappa: 0.7437, kb_relative_information_score: 0.2808, mean_absolute_error: 0.3668, mean_prior_absolute_error: 0.4676, weighted_recall: 0.8875, number_of_instances: 569, precision: 0.9046, predictive_accuracy: 0.8875, prior_entropy: 0.9526, relative_absolute_error: 0.7844, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3838, root_relative_squared_error: 0.7938, unweighted_recall: 0.8491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 0.3856, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.4676, weighted_recall: 0.8893, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.9526, relative_absolute_error: 0.6859, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.7267, unweighted_recall: 0.8696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, kb_relative_information_score: 0.0531, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.9617, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9627, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.8848, kappa: 0.7495, kb_relative_information_score: 0.7542, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.4676, weighted_recall: 0.8893, number_of_instances: 569, precision: 0.9019, predictive_accuracy: 0.8893, prior_entropy: 0.9526, relative_absolute_error: 0.2391, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6788, unweighted_recall: 0.8543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9555, kappa: 0.9041, kb_relative_information_score: 0.889, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9561, number_of_instances: 569, precision: 0.9579, predictive_accuracy: 0.9561, prior_entropy: 0.9526, relative_absolute_error: 0.1138, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.3791, unweighted_recall: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1802, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9259, kappa: 0.8409, kb_relative_information_score: 0.6758, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9262, number_of_instances: 569, precision: 0.926, predictive_accuracy: 0.9262, prior_entropy: 0.9526, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.4886, unweighted_recall: 0.9172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9594, kappa: 0.9128, kb_relative_information_score: 0.3493, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9596, number_of_instances: 569, precision: 0.9597, predictive_accuracy: 0.9596, prior_entropy: 0.9526, relative_absolute_error: 0.7296, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.7219, unweighted_recall: 0.9525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: -0.0003, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9076, kappa: 0.8007, kb_relative_information_score: 0.6841, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9086, number_of_instances: 569, precision: 0.909, predictive_accuracy: 0.9086, prior_entropy: 0.9526, relative_absolute_error: 0.3525, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.504, unweighted_recall: 0.8927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.8965, kappa: 0.7764, kb_relative_information_score: 0.3866, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4676, weighted_recall: 0.8981, number_of_instances: 569, precision: 0.8991, predictive_accuracy: 0.8981, prior_entropy: 0.9526, relative_absolute_error: 0.6854, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.7158, unweighted_recall: 0.8785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5071, f_measure: 0.4957, kappa: 0.0177, kb_relative_information_score: 0.1918, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6327, number_of_instances: 569, precision: 0.7683, predictive_accuracy: 0.6327, prior_entropy: 0.9526, relative_absolute_error: 0.7855, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6061, root_relative_squared_error: 1.2535, unweighted_recall: 0.5071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8748, kappa: 0.7277, kb_relative_information_score: 0.7127, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.4676, weighted_recall: 0.8805, number_of_instances: 569, precision: 0.8966, predictive_accuracy: 0.8805, prior_entropy: 0.9526, relative_absolute_error: 0.2891, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.6197, unweighted_recall: 0.8415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 0.0003, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1802, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, kb_relative_information_score: 0.0008, mean_absolute_error: 0.4673, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.8748, kappa: 0.7277, kb_relative_information_score: 0.6916, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.4676, weighted_recall: 0.8805, number_of_instances: 569, precision: 0.8966, predictive_accuracy: 0.8805, prior_entropy: 0.9526, relative_absolute_error: 0.3166, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.608, unweighted_recall: 0.8415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9077, kappa: 0.8011, kb_relative_information_score: 0.405, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9086, number_of_instances: 569, precision: 0.9088, predictive_accuracy: 0.9086, prior_entropy: 0.9526, relative_absolute_error: 0.6725, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6832, unweighted_recall: 0.8936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4104, f_measure: 0.4265, kappa: -0.2089, kb_relative_information_score: -0.0673, mean_absolute_error: 0.4851, mean_prior_absolute_error: 0.4676, weighted_recall: 0.5149, number_of_instances: 569, precision: 0.364, predictive_accuracy: 0.5149, prior_entropy: 0.9526, relative_absolute_error: 1.0372, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6965, root_relative_squared_error: 1.4405, unweighted_recall: 0.4104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9824, kappa: 0.9622, kb_relative_information_score: 0.0776, mean_absolute_error: 0.4385, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9824, number_of_instances: 569, precision: 0.9826, predictive_accuracy: 0.9824, prior_entropy: 0.9526, relative_absolute_error: 0.9376, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.9091, unweighted_recall: 0.9783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.8731, kappa: 0.724, kb_relative_information_score: 0.7227, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.4676, weighted_recall: 0.8787, number_of_instances: 569, precision: 0.8939, predictive_accuracy: 0.8787, prior_entropy: 0.9526, relative_absolute_error: 0.2765, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.626, unweighted_recall: 0.8401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.8753, kappa: 0.7408, kb_relative_information_score: 0.5909, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.4676, weighted_recall: 0.8735, number_of_instances: 569, precision: 0.8886, predictive_accuracy: 0.8735, prior_entropy: 0.9526, relative_absolute_error: 0.4374, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6611, unweighted_recall: 0.8867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 0.6639, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4676, weighted_recall: 0.8893, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.9526, relative_absolute_error: 0.3618, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6505, unweighted_recall: 0.8696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9555, kappa: 0.9041, kb_relative_information_score: 0.889, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9561, number_of_instances: 569, precision: 0.9579, predictive_accuracy: 0.9561, prior_entropy: 0.9526, relative_absolute_error: 0.1138, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.3791, unweighted_recall: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.8731, kappa: 0.724, kb_relative_information_score: 0.7357, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.4676, weighted_recall: 0.8787, number_of_instances: 569, precision: 0.8939, predictive_accuracy: 0.8787, prior_entropy: 0.9526, relative_absolute_error: 0.2603, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6377, unweighted_recall: 0.8401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, kb_relative_information_score: -0.0017, mean_absolute_error: 0.4681, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1802, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1802, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9193, kappa: 0.8253, kb_relative_information_score: 0.7287, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9209, number_of_instances: 569, precision: 0.9248, predictive_accuracy: 0.9209, prior_entropy: 0.9526, relative_absolute_error: 0.2941, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.5098, unweighted_recall: 0.8996,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9303, kappa: 0.8492, kb_relative_information_score: 0.7531, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9315, number_of_instances: 569, precision: 0.9346, predictive_accuracy: 0.9315, prior_entropy: 0.9526, relative_absolute_error: 0.2743, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.4595, unweighted_recall: 0.9128,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.8731, kappa: 0.724, kb_relative_information_score: 0.7231, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.4676, weighted_recall: 0.8787, number_of_instances: 569, precision: 0.8939, predictive_accuracy: 0.8787, prior_entropy: 0.9526, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.6263, unweighted_recall: 0.8401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.875, kappa: 0.7282, kb_relative_information_score: 0.738, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.4676, weighted_recall: 0.8805, number_of_instances: 569, precision: 0.8952, predictive_accuracy: 0.8805, prior_entropy: 0.9526, relative_absolute_error: 0.2574, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.6405, unweighted_recall: 0.8425,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4703, f_measure: 0.5816, kappa: 0.1413, kb_relative_information_score: -0.1104, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4676, weighted_recall: 0.5747, number_of_instances: 569, precision: 0.6019, predictive_accuracy: 0.5747, prior_entropy: 0.9526, relative_absolute_error: 1.0676, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0332, unweighted_recall: 0.5749,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9594, kappa: 0.913, kb_relative_information_score: 0.3202, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9596, number_of_instances: 569, precision: 0.9596, predictive_accuracy: 0.9596, prior_entropy: 0.9526, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.7444, unweighted_recall: 0.9534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8977, kappa: 0.7862, kb_relative_information_score: 0.6658, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.4676, weighted_recall: 0.8963, number_of_instances: 569, precision: 0.9075, predictive_accuracy: 0.8963, prior_entropy: 0.9526, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.6082, unweighted_recall: 0.9078,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5381, kb_relative_information_score: 0.0001, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, unweighted_recall: 0.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.8748, kappa: 0.7277, kb_relative_information_score: 0.7036, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.4676, weighted_recall: 0.8805, number_of_instances: 569, precision: 0.8966, predictive_accuracy: 0.8805, prior_entropy: 0.9526, relative_absolute_error: 0.3008, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.6149, unweighted_recall: 0.8415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8789, kappa: 0.7368, kb_relative_information_score: 0.7421, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.4676, weighted_recall: 0.884, number_of_instances: 569, precision: 0.8979, predictive_accuracy: 0.884, prior_entropy: 0.9526, relative_absolute_error: 0.2525, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.6462, unweighted_recall: 0.8472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8965, kappa: 0.7764, kb_relative_information_score: 0.3871, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4676, weighted_recall: 0.8981, number_of_instances: 569, precision: 0.8991, predictive_accuracy: 0.8981, prior_entropy: 0.9526, relative_absolute_error: 0.6851, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.7142, unweighted_recall: 0.8785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.6269, kappa: 0.2313, kb_relative_information_score: 0.1276, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6995, number_of_instances: 569, precision: 0.7968, predictive_accuracy: 0.6995, prior_entropy: 0.9526, relative_absolute_error: 0.8854, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.934, unweighted_recall: 0.5967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9555, kappa: 0.9041, kb_relative_information_score: 0.889, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9561, number_of_instances: 569, precision: 0.9579, predictive_accuracy: 0.9561, prior_entropy: 0.9526, relative_absolute_error: 0.1138, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.3791, unweighted_recall: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9555, kappa: 0.9041, kb_relative_information_score: 0.889, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9561, number_of_instances: 569, precision: 0.9579, predictive_accuracy: 0.9561, prior_entropy: 0.9526, relative_absolute_error: 0.1138, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.3791, unweighted_recall: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.9229, kappa: 0.8359, kb_relative_information_score: 0.8298, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9227, number_of_instances: 569, precision: 0.9236, predictive_accuracy: 0.9227, prior_entropy: 0.9526, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.5751, unweighted_recall: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.8767, kappa: 0.732, kb_relative_information_score: 0.6937, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.4676, weighted_recall: 0.8822, number_of_instances: 569, precision: 0.8979, predictive_accuracy: 0.8822, prior_entropy: 0.9526, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.6095, unweighted_recall: 0.8439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9194, kappa: 0.8284, kb_relative_information_score: 0.7458, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9192, number_of_instances: 569, precision: 0.9201, predictive_accuracy: 0.9192, prior_entropy: 0.9526, relative_absolute_error: 0.2743, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.5331, unweighted_recall: 0.9174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4698, kb_relative_information_score: 0.1099, mean_absolute_error: 0.4139, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.8852, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.5388, root_relative_squared_error: 1.1144, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8835, kappa: 0.75, kb_relative_information_score: 0.6591, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4676, weighted_recall: 0.884, number_of_instances: 569, precision: 0.8834, predictive_accuracy: 0.884, prior_entropy: 0.9526, relative_absolute_error: 0.3648, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.6327, unweighted_recall: 0.8721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.8612, kappa: 0.7093, kb_relative_information_score: 0.6906, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.4676, weighted_recall: 0.8594, number_of_instances: 569, precision: 0.8699, predictive_accuracy: 0.8594, prior_entropy: 0.9526, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.375, root_relative_squared_error: 0.7755, unweighted_recall: 0.8669,

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