Task
Supervised Classification on wdbc

Supervised Classification on wdbc

Task 9946 Supervised Classification wdbc 142524 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
Issue #Downvotes for this reason By


Metric:

142524 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9403, kappa: 0.8724, kb_relative_information_score: 485.9891, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9404, predictive_accuracy: 0.9402, prior_entropy: 0.953, recall: 0.9402, relative_absolute_error: 0.1438, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.4877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9436, kappa: 0.879, kb_relative_information_score: 489.343, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9436, predictive_accuracy: 0.9438, prior_entropy: 0.953, recall: 0.9438, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9259, kappa: 0.8409, kb_relative_information_score: 455.3493, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.926, predictive_accuracy: 0.9262, prior_entropy: 0.953, recall: 0.9262, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.4876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.9314, kappa: 0.853, kb_relative_information_score: 475.8216, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9313, predictive_accuracy: 0.9315, prior_entropy: 0.953, recall: 0.9315, relative_absolute_error: 0.1639, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.4675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9224, kappa: 0.8336, kb_relative_information_score: 465.4056, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9224, predictive_accuracy: 0.9227, prior_entropy: 0.953, recall: 0.9227, relative_absolute_error: 0.1832, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.4842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.917, kappa: 0.8218, kb_relative_information_score: 461.9247, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9171, predictive_accuracy: 0.9174, prior_entropy: 0.953, recall: 0.9174, relative_absolute_error: 0.1879, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9332, kappa: 0.8569, kb_relative_information_score: 474.286, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9331, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.1649, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.239, root_relative_squared_error: 0.4943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9331, kappa: 0.8566, kb_relative_information_score: 471.8539, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9331, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.4699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.9472, kappa: 0.887, kb_relative_information_score: 489.6169, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9472, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.141, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.4387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.93, kappa: 0.8511, kb_relative_information_score: 482.0434, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9309, predictive_accuracy: 0.9297, prior_entropy: 0.953, recall: 0.9297, relative_absolute_error: 0.1478, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.5376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9224, kappa: 0.8333, kb_relative_information_score: 465.0961, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9224, predictive_accuracy: 0.9227, prior_entropy: 0.953, recall: 0.9227, relative_absolute_error: 0.1834, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.4838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9203, kappa: 0.8284, kb_relative_information_score: 456.0133, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.921, predictive_accuracy: 0.9209, prior_entropy: 0.953, recall: 0.9209, relative_absolute_error: 0.2015, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.4937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9297, kappa: 0.8496, kb_relative_information_score: 475.0377, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9297, predictive_accuracy: 0.9297, prior_entropy: 0.953, recall: 0.9297, relative_absolute_error: 0.1659, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.226, root_relative_squared_error: 0.4675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9313, kappa: 0.8527, kb_relative_information_score: 475.3038, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9313, predictive_accuracy: 0.9315, prior_entropy: 0.953, recall: 0.9315, relative_absolute_error: 0.1663, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.4691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9349, kappa: 0.8608, kb_relative_information_score: 478.8461, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9349, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.1593, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.4635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.942, kappa: 0.8758, kb_relative_information_score: 481.7052, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.942, predictive_accuracy: 0.942, prior_entropy: 0.953, recall: 0.942, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.4728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9349, kappa: 0.8608, kb_relative_information_score: 483.4536, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9349, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.1467, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.4837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9385, kappa: 0.8683, kb_relative_information_score: 482.1763, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9384, predictive_accuracy: 0.9385, prior_entropy: 0.953, recall: 0.9385, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9188, kappa: 0.8257, kb_relative_information_score: 460.0689, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9189, predictive_accuracy: 0.9192, prior_entropy: 0.953, recall: 0.9192, relative_absolute_error: 0.1924, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.4877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9332, kappa: 0.8572, kb_relative_information_score: 474.7846, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9332, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2439, root_relative_squared_error: 0.5046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9332, kappa: 0.8569, kb_relative_information_score: 482.4676, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9331, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.1486, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.4774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.9436, kappa: 0.8792, kb_relative_information_score: 489.2102, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9436, predictive_accuracy: 0.9438, prior_entropy: 0.953, recall: 0.9438, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.4493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9258, kappa: 0.8406, kb_relative_information_score: 454.301, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.926, predictive_accuracy: 0.9262, prior_entropy: 0.953, recall: 0.9262, relative_absolute_error: 0.2059, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.4934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9349, kappa: 0.8605, kb_relative_information_score: 471.628, mean_absolute_error: 0.0823, 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: 0.176, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.4722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9334, kappa: 0.858, kb_relative_information_score: 486.3417, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9338, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.1398, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.4925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9187, kappa: 0.8254, kb_relative_information_score: 462.1451, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9189, predictive_accuracy: 0.9192, prior_entropy: 0.953, recall: 0.9192, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.232, root_relative_squared_error: 0.4799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9366, kappa: 0.8642, kb_relative_information_score: 471.799, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9366, predictive_accuracy: 0.9367, prior_entropy: 0.953, recall: 0.9367, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.4657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9421, kappa: 0.8763, kb_relative_information_score: 481.732, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9422, predictive_accuracy: 0.942, prior_entropy: 0.953, recall: 0.942, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.237, root_relative_squared_error: 0.4901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9278, kappa: 0.8451, kb_relative_information_score: 476.3821, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9277, predictive_accuracy: 0.9279, prior_entropy: 0.953, recall: 0.9279, relative_absolute_error: 0.1606, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.4726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9383, kappa: 0.8675, kb_relative_information_score: 480.414, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9384, predictive_accuracy: 0.9385, prior_entropy: 0.953, recall: 0.9385, relative_absolute_error: 0.1542, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.229, root_relative_squared_error: 0.4736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9186, kappa: 0.8251, kb_relative_information_score: 463.0853, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.919, predictive_accuracy: 0.9192, prior_entropy: 0.953, recall: 0.9192, relative_absolute_error: 0.1862, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.4876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9294, kappa: 0.8485, kb_relative_information_score: 472.6409, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9295, predictive_accuracy: 0.9297, prior_entropy: 0.953, recall: 0.9297, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9258, kappa: 0.8406, kb_relative_information_score: 455.0478, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.926, predictive_accuracy: 0.9262, prior_entropy: 0.953, recall: 0.9262, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.4917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.9278, kappa: 0.8451, kb_relative_information_score: 467.8796, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9277, predictive_accuracy: 0.9279, prior_entropy: 0.953, recall: 0.9279, relative_absolute_error: 0.1763, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9349, kappa: 0.8605, kb_relative_information_score: 472.4614, mean_absolute_error: 0.0815, 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: 0.1742, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.4712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.9402, kappa: 0.8722, kb_relative_information_score: 483.4382, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9402, predictive_accuracy: 0.9402, prior_entropy: 0.953, recall: 0.9402, relative_absolute_error: 0.1494, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.4796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9274, kappa: 0.8439, kb_relative_information_score: 473.4531, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.928, predictive_accuracy: 0.9279, prior_entropy: 0.953, recall: 0.9279, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.4734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9365, kappa: 0.8636, kb_relative_information_score: 477.9488, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9366, predictive_accuracy: 0.9367, prior_entropy: 0.953, recall: 0.9367, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.4667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9203, kappa: 0.8284, kb_relative_information_score: 461.3845, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.921, predictive_accuracy: 0.9209, prior_entropy: 0.953, recall: 0.9209, relative_absolute_error: 0.1906, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.236, root_relative_squared_error: 0.4881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9365, kappa: 0.8636, kb_relative_information_score: 481.9902, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9366, predictive_accuracy: 0.9367, prior_entropy: 0.953, recall: 0.9367, relative_absolute_error: 0.1545, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.4624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9167, kappa: 0.8207, kb_relative_information_score: 452.8284, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9175, predictive_accuracy: 0.9174, prior_entropy: 0.953, recall: 0.9174, relative_absolute_error: 0.2066, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.5001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.926, kappa: 0.8412, kb_relative_information_score: 468.5266, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.926, predictive_accuracy: 0.9262, prior_entropy: 0.953, recall: 0.9262, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.4865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9329, kappa: 0.8558, kb_relative_information_score: 478.4275, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9331, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.1571, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.4775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9205, kappa: 0.8294, kb_relative_information_score: 462.8632, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9207, predictive_accuracy: 0.9209, prior_entropy: 0.953, recall: 0.9209, relative_absolute_error: 0.1873, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9367, kappa: 0.8644, kb_relative_information_score: 477.5633, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9366, predictive_accuracy: 0.9367, prior_entropy: 0.953, recall: 0.9367, relative_absolute_error: 0.1604, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.4752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9331, kappa: 0.8566, kb_relative_information_score: 477.2609, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9331, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.4785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9436, kappa: 0.879, kb_relative_information_score: 488.2845, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9436, predictive_accuracy: 0.9438, prior_entropy: 0.953, recall: 0.9438, relative_absolute_error: 0.1411, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.9386, kappa: 0.8691, kb_relative_information_score: 485.694, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9389, predictive_accuracy: 0.9385, prior_entropy: 0.953, recall: 0.9385, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.4692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9298, kappa: 0.8499, kb_relative_information_score: 464.3274, mean_absolute_error: 0.0884, 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: 0.1891, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.4811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9387, kappa: 0.8693, kb_relative_information_score: 483.3098, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9392, predictive_accuracy: 0.9385, prior_entropy: 0.953, recall: 0.9385, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.4714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9278, kappa: 0.8454, kb_relative_information_score: 470.5379, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9278, predictive_accuracy: 0.9279, prior_entropy: 0.953, recall: 0.9279, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.4793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9203, kappa: 0.8284, kb_relative_information_score: 456.877, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.921, predictive_accuracy: 0.9209, prior_entropy: 0.953, recall: 0.9209, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.4911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9205, kappa: 0.8294, kb_relative_information_score: 460.8653, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9207, predictive_accuracy: 0.9209, prior_entropy: 0.953, recall: 0.9209, relative_absolute_error: 0.1922, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.4848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9186, kappa: 0.8251, kb_relative_information_score: 461.8143, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.919, predictive_accuracy: 0.9192, prior_entropy: 0.953, recall: 0.9192, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2363, root_relative_squared_error: 0.4888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9349, kappa: 0.8608, kb_relative_information_score: 476.2746, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9349, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.9385, kappa: 0.8683, kb_relative_information_score: 488.0527, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9384, predictive_accuracy: 0.9385, prior_entropy: 0.953, recall: 0.9385, relative_absolute_error: 0.1409, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.4563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.9224, kappa: 0.8336, kb_relative_information_score: 471.5022, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9224, predictive_accuracy: 0.9227, prior_entropy: 0.953, recall: 0.9227, relative_absolute_error: 0.1659, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.4983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9331, kappa: 0.8566, kb_relative_information_score: 470.7768, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9331, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.1762, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.4744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9298, kappa: 0.8499, kb_relative_information_score: 464.4911, mean_absolute_error: 0.0882, 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: 0.1887, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9296, kappa: 0.8493, kb_relative_information_score: 472.5495, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9296, predictive_accuracy: 0.9297, prior_entropy: 0.953, recall: 0.9297, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9167, kappa: 0.8207, kb_relative_information_score: 454.2095, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9175, predictive_accuracy: 0.9174, prior_entropy: 0.953, recall: 0.9174, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.4958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.9352, kappa: 0.8618, kb_relative_information_score: 484.4825, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9357, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.1452, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.244, root_relative_squared_error: 0.5047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9258, kappa: 0.8406, kb_relative_information_score: 454.7757, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.926, predictive_accuracy: 0.9262, prior_entropy: 0.953, recall: 0.9262, relative_absolute_error: 0.2049, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.4906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9419, kappa: 0.8756, kb_relative_information_score: 487.2161, mean_absolute_error: 0.067, 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: 0.1433, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.4521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9422, kappa: 0.877, kb_relative_information_score: 489.0029, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.943, predictive_accuracy: 0.942, prior_entropy: 0.953, recall: 0.942, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.4839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9349, kappa: 0.8608, kb_relative_information_score: 476.3189, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9349, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.1623, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.4949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9296, kappa: 0.8493, kb_relative_information_score: 470.2815, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9296, predictive_accuracy: 0.9297, prior_entropy: 0.953, recall: 0.9297, relative_absolute_error: 0.175, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.4803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9278, kappa: 0.8451, kb_relative_information_score: 473.425, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9277, predictive_accuracy: 0.9279, prior_entropy: 0.953, recall: 0.9279, relative_absolute_error: 0.1687, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.4707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9454, kappa: 0.8829, kb_relative_information_score: 491.7189, mean_absolute_error: 0.0635, 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: 0.1357, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.4465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.9386, kappa: 0.8691, kb_relative_information_score: 482.1313, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9389, predictive_accuracy: 0.9385, prior_entropy: 0.953, recall: 0.9385, relative_absolute_error: 0.1513, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.5007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9259, kappa: 0.8409, kb_relative_information_score: 469.8407, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.926, predictive_accuracy: 0.9262, prior_entropy: 0.953, recall: 0.9262, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.4848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9203, kappa: 0.8284, kb_relative_information_score: 460.5048, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.921, predictive_accuracy: 0.9209, prior_entropy: 0.953, recall: 0.9209, relative_absolute_error: 0.1927, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9331, kappa: 0.8566, kb_relative_information_score: 472.1836, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9331, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.1737, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.227, root_relative_squared_error: 0.4694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.9246, kappa: 0.8391, kb_relative_information_score: 474.5735, mean_absolute_error: 0.0753, 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: 0.161, 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: 0.953, f_measure: 0.9491, kappa: 0.8913, kb_relative_information_score: 494.6391, mean_absolute_error: 0.0609, 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: 0.1301, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9166, kappa: 0.8204, kb_relative_information_score: 454.551, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9177, predictive_accuracy: 0.9174, prior_entropy: 0.953, recall: 0.9174, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9205, kappa: 0.829, kb_relative_information_score: 464.2181, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9207, predictive_accuracy: 0.9209, prior_entropy: 0.953, recall: 0.9209, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.4774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9296, kappa: 0.8493, kb_relative_information_score: 473.2608, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9296, predictive_accuracy: 0.9297, prior_entropy: 0.953, recall: 0.9297, relative_absolute_error: 0.1689, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.4732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9367, kappa: 0.8647, kb_relative_information_score: 480.0728, mean_absolute_error: 0.0703, 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: 0.1504, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.239, root_relative_squared_error: 0.4942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9366, kappa: 0.8642, kb_relative_information_score: 472.6994, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9366, predictive_accuracy: 0.9367, prior_entropy: 0.953, recall: 0.9367, relative_absolute_error: 0.1748, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9258, kappa: 0.8406, kb_relative_information_score: 453.6637, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.926, predictive_accuracy: 0.9262, prior_entropy: 0.953, recall: 0.9262, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.4929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9276, kappa: 0.8445, kb_relative_information_score: 456.7074, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9278, predictive_accuracy: 0.9279, prior_entropy: 0.953, recall: 0.9279, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.4809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.9333, kappa: 0.8577, kb_relative_information_score: 480.9178, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9336, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.1499, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.4918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9203, kappa: 0.8284, kb_relative_information_score: 456.4861, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.921, predictive_accuracy: 0.9209, prior_entropy: 0.953, recall: 0.9209, relative_absolute_error: 0.2001, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.4956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9332, kappa: 0.8569, kb_relative_information_score: 475.7733, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9331, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.1657, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.4679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.9381, kappa: 0.867, kb_relative_information_score: 484.5428, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9385, predictive_accuracy: 0.9385, prior_entropy: 0.953, recall: 0.9385, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.4628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9455, kappa: 0.8834, kb_relative_information_score: 488.2594, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.1431, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9205, kappa: 0.829, kb_relative_information_score: 462.7452, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9207, predictive_accuracy: 0.9209, prior_entropy: 0.953, recall: 0.9209, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.4842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9258, kappa: 0.8406, kb_relative_information_score: 455.7042, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.926, predictive_accuracy: 0.9262, prior_entropy: 0.953, recall: 0.9262, relative_absolute_error: 0.2027, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.4909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9311, kappa: 0.8521, kb_relative_information_score: 474.369, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9313, predictive_accuracy: 0.9315, prior_entropy: 0.953, recall: 0.9315, relative_absolute_error: 0.168, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.4717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9296, kappa: 0.8493, kb_relative_information_score: 473.8194, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9296, predictive_accuracy: 0.9297, prior_entropy: 0.953, recall: 0.9297, relative_absolute_error: 0.1678, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.4723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9331, kappa: 0.8566, kb_relative_information_score: 471.4809, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9331, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.1746, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.4723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9438, kappa: 0.8797, kb_relative_information_score: 490.3678, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9438, predictive_accuracy: 0.9438, prior_entropy: 0.953, recall: 0.9438, relative_absolute_error: 0.1375, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.4688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9419, kappa: 0.8756, kb_relative_information_score: 483.0929, mean_absolute_error: 0.0704, 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: 0.1505, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.4805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9402, kappa: 0.8722, kb_relative_information_score: 492.0033, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9402, predictive_accuracy: 0.9402, prior_entropy: 0.953, recall: 0.9402, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.4528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9331, kappa: 0.8566, kb_relative_information_score: 470.9918, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9331, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.1761, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.4714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9382, kappa: 0.8673, kb_relative_information_score: 483.73, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9384, predictive_accuracy: 0.9385, prior_entropy: 0.953, recall: 0.9385, relative_absolute_error: 0.1509, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.4631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9399, kappa: 0.871, kb_relative_information_score: 485.7434, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9403, predictive_accuracy: 0.9402, prior_entropy: 0.953, recall: 0.9402, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.4646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9475, kappa: 0.8883, kb_relative_information_score: 490.7225, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9484, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.1372, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.4493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9399, kappa: 0.871, kb_relative_information_score: 483.5331, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9403, predictive_accuracy: 0.9402, prior_entropy: 0.953, recall: 0.9402, relative_absolute_error: 0.1485, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.4598,

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

OpenML bootcamp

From your own software

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

OpenML APIs