Task
Supervised Classification on Internet-Advertisements

Supervised Classification on Internet-Advertisements

Task 167125 Supervised Classification Internet-Advertisements 1429 runs submitted
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1429 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9751, kappa: 0.8944, kb_relative_information_score: 0.8325, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.2409, weighted_recall: 0.9756, number_of_instances: 3279, precision: 0.9753, predictive_accuracy: 0.9756, prior_entropy: 0.5842, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.4143, unweighted_recall: 0.9293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9761, kappa: 0.8991, kb_relative_information_score: 0.8377, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.2409, weighted_recall: 0.9765, number_of_instances: 3279, precision: 0.9762, predictive_accuracy: 0.9765, prior_entropy: 0.5842, relative_absolute_error: 0.1558, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.4099, unweighted_recall: 0.9344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9801, kappa: 0.9155, kb_relative_information_score: 0.8142, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9804, predictive_accuracy: 0.9805, prior_entropy: 0.5842, recall: 0.9805, relative_absolute_error: 0.1805, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.135, root_relative_squared_error: 0.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9795, kappa: 0.9132, kb_relative_information_score: 0.8145, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9797, predictive_accuracy: 0.9799, prior_entropy: 0.5842, recall: 0.9799, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.3881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.9628, kappa: 0.841, kb_relative_information_score: 0.7553, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9633, predictive_accuracy: 0.964, prior_entropy: 0.5842, recall: 0.964, relative_absolute_error: 0.2397, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.5321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.9668, kappa: 0.86, kb_relative_information_score: 0.7893, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9667, predictive_accuracy: 0.9674, prior_entropy: 0.5842, recall: 0.9674, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.5089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9733, kappa: 0.8874, kb_relative_information_score: 0.8201, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9734, predictive_accuracy: 0.9738, prior_entropy: 0.5842, recall: 0.9738, relative_absolute_error: 0.1678, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.4277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.9732, kappa: 0.8851, kb_relative_information_score: 0.8646, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9742, predictive_accuracy: 0.9741, prior_entropy: 0.5842, recall: 0.9741, relative_absolute_error: 0.1076, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.161, root_relative_squared_error: 0.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.957, kappa: 0.8115, kb_relative_information_score: 0.7897, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9609, predictive_accuracy: 0.9597, prior_entropy: 0.5842, recall: 0.9597, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.5783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.9654, kappa: 0.8554, kb_relative_information_score: 0.8199, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9652, predictive_accuracy: 0.9655, prior_entropy: 0.5842, recall: 0.9655, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.9589, kappa: 0.8281, kb_relative_information_score: 0.7865, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9587, predictive_accuracy: 0.9591, prior_entropy: 0.5842, recall: 0.9591, relative_absolute_error: 0.1696, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.5826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9755, kappa: 0.8968, kb_relative_information_score: 0.8354, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9756, predictive_accuracy: 0.9759, prior_entropy: 0.5842, recall: 0.9759, relative_absolute_error: 0.1444, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.4104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9735, kappa: 0.8884, kb_relative_information_score: 0.8608, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9734, predictive_accuracy: 0.9738, prior_entropy: 0.5842, recall: 0.9738, relative_absolute_error: 0.1126, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.4421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7728, kappa: 0.0002, kb_relative_information_score: -0.1074, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7593, predictive_accuracy: 0.788, prior_entropy: 0.5842, recall: 0.788, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4604, root_relative_squared_error: 1.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.736, kappa: 0.0004, kb_relative_information_score: -0.4835, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7593, predictive_accuracy: 0.7161, prior_entropy: 0.5842, recall: 0.7161, relative_absolute_error: 1.1785, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.5328, root_relative_squared_error: 1.5357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9685, kappa: 0.8652, kb_relative_information_score: 0.7516, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9692, predictive_accuracy: 0.9695, prior_entropy: 0.5842, recall: 0.9695, relative_absolute_error: 0.2536, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.4629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7728, kappa: 0.0002, kb_relative_information_score: -0.1074, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7593, predictive_accuracy: 0.788, prior_entropy: 0.5842, recall: 0.788, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4604, root_relative_squared_error: 1.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.975, kappa: 0.8948, kb_relative_information_score: 0.8576, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9749, predictive_accuracy: 0.9753, prior_entropy: 0.5842, recall: 0.9753, relative_absolute_error: 0.1169, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.4311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9731, kappa: 0.887, kb_relative_information_score: 0.8598, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9731, predictive_accuracy: 0.9735, prior_entropy: 0.5842, recall: 0.9735, relative_absolute_error: 0.1125, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.4404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9737, kappa: 0.8881, kb_relative_information_score: 0.7748, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9742, predictive_accuracy: 0.9744, prior_entropy: 0.5842, recall: 0.9744, relative_absolute_error: 0.227, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.4473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.7732, kappa: 0.0011, kb_relative_information_score: -0.1043, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7595, predictive_accuracy: 0.7887, prior_entropy: 0.5842, recall: 0.7887, relative_absolute_error: 0.8772, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4597, root_relative_squared_error: 1.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9768, kappa: 0.9021, kb_relative_information_score: 0.8609, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9768, predictive_accuracy: 0.9771, prior_entropy: 0.5842, recall: 0.9771, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.4078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9753, kappa: 0.8964, kb_relative_information_score: 0.8532, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9753, predictive_accuracy: 0.9756, prior_entropy: 0.5842, recall: 0.9756, relative_absolute_error: 0.1168, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.4368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9707, kappa: 0.8769, kb_relative_information_score: 0.8149, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9706, predictive_accuracy: 0.971, prior_entropy: 0.5842, recall: 0.971, relative_absolute_error: 0.159, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.4482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9743, kappa: 0.8914, kb_relative_information_score: 0.8415, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9743, predictive_accuracy: 0.9747, prior_entropy: 0.5842, recall: 0.9747, relative_absolute_error: 0.1363, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.4203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9726, kappa: 0.8853, kb_relative_information_score: 0.8252, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9725, predictive_accuracy: 0.9729, prior_entropy: 0.5842, recall: 0.9729, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9651, kappa: 0.8548, kb_relative_information_score: 0.807, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9651, predictive_accuracy: 0.9652, prior_entropy: 0.5842, recall: 0.9652, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.5128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9725, kappa: 0.8832, kb_relative_information_score: 0.801, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9728, predictive_accuracy: 0.9732, prior_entropy: 0.5842, recall: 0.9732, relative_absolute_error: 0.1885, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.4398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9712, kappa: 0.8783, kb_relative_information_score: 0.8388, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9711, predictive_accuracy: 0.9716, prior_entropy: 0.5842, recall: 0.9716, relative_absolute_error: 0.1357, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.4484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7728, kappa: 0.0002, kb_relative_information_score: -0.1074, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7593, predictive_accuracy: 0.788, prior_entropy: 0.5842, recall: 0.788, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4604, root_relative_squared_error: 1.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9761, kappa: 0.8993, kb_relative_information_score: 0.836, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9762, predictive_accuracy: 0.9765, prior_entropy: 0.5842, recall: 0.9765, relative_absolute_error: 0.1506, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.4094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9735, kappa: 0.8873, kb_relative_information_score: 0.793, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9738, predictive_accuracy: 0.9741, prior_entropy: 0.5842, recall: 0.9741, relative_absolute_error: 0.2006, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.4456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9735, kappa: 0.8873, kb_relative_information_score: 0.793, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9738, predictive_accuracy: 0.9741, prior_entropy: 0.5842, recall: 0.9741, relative_absolute_error: 0.2006, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.4456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9715, kappa: 0.8789, kb_relative_information_score: 0.805, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9719, predictive_accuracy: 0.9722, prior_entropy: 0.5842, recall: 0.9722, relative_absolute_error: 0.1749, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.4426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9759, kappa: 0.8984, kb_relative_information_score: 0.8474, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9759, predictive_accuracy: 0.9762, prior_entropy: 0.5842, recall: 0.9762, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.4156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9746, kappa: 0.8926, kb_relative_information_score: 0.8623, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9746, predictive_accuracy: 0.975, prior_entropy: 0.5842, recall: 0.975, relative_absolute_error: 0.1126, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.4291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9715, kappa: 0.8784, kb_relative_information_score: 0.7951, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.972, predictive_accuracy: 0.9722, prior_entropy: 0.5842, recall: 0.9722, relative_absolute_error: 0.1959, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9623, kappa: 0.8365, kb_relative_information_score: 0.7091, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9641, predictive_accuracy: 0.964, prior_entropy: 0.5842, recall: 0.964, relative_absolute_error: 0.3136, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.5108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, kb_relative_information_score: 0.3085, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, predictive_accuracy: 0.86, prior_entropy: 0.5842, recall: 0.86, relative_absolute_error: 0.7883, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.8015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, kb_relative_information_score: 0.0927, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, predictive_accuracy: 0.86, prior_entropy: 0.5842, recall: 0.86, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.333, root_relative_squared_error: 0.9597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9725, kappa: 0.8844, kb_relative_information_score: 0.8409, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9724, predictive_accuracy: 0.9729, prior_entropy: 0.5842, recall: 0.9729, relative_absolute_error: 0.132, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.4558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.736, kappa: 0.0004, kb_relative_information_score: -0.4835, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7593, predictive_accuracy: 0.7161, prior_entropy: 0.5842, recall: 0.7161, relative_absolute_error: 1.1785, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.5328, root_relative_squared_error: 1.5357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9691, kappa: 0.8679, kb_relative_information_score: 0.7546, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9699, predictive_accuracy: 0.9701, prior_entropy: 0.5842, recall: 0.9701, relative_absolute_error: 0.2566, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.4631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, kb_relative_information_score: 0.0672, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, predictive_accuracy: 0.86, prior_entropy: 0.5842, recall: 0.86, relative_absolute_error: 0.9267, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.9736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, kb_relative_information_score: 0.1602, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, predictive_accuracy: 0.86, prior_entropy: 0.5842, recall: 0.86, relative_absolute_error: 0.8365, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.9297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9726, kappa: 0.8839, kb_relative_information_score: 0.7969, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9728, predictive_accuracy: 0.9732, prior_entropy: 0.5842, recall: 0.9732, relative_absolute_error: 0.1946, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.4407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7728, kappa: 0.0002, kb_relative_information_score: -0.1074, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7593, predictive_accuracy: 0.788, prior_entropy: 0.5842, recall: 0.788, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4604, root_relative_squared_error: 1.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.736, kappa: 0.0004, kb_relative_information_score: -0.4835, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7593, predictive_accuracy: 0.7161, prior_entropy: 0.5842, recall: 0.7161, relative_absolute_error: 1.1785, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.5328, root_relative_squared_error: 1.5357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9718, kappa: 0.8809, kb_relative_information_score: 0.8345, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9718, predictive_accuracy: 0.9722, prior_entropy: 0.5842, recall: 0.9722, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.4341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.7357, kappa: -0.0015, kb_relative_information_score: -0.4851, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7589, predictive_accuracy: 0.7158, prior_entropy: 0.5842, recall: 0.7158, relative_absolute_error: 1.1797, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.5331, root_relative_squared_error: 1.5366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9764, kappa: 0.9007, kb_relative_information_score: 0.8505, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9765, predictive_accuracy: 0.9768, prior_entropy: 0.5842, recall: 0.9768, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.4155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7728, kappa: 0.0002, kb_relative_information_score: -0.1074, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7593, predictive_accuracy: 0.788, prior_entropy: 0.5842, recall: 0.788, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4604, root_relative_squared_error: 1.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9751, kappa: 0.8944, kb_relative_information_score: 0.804, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9753, predictive_accuracy: 0.9756, prior_entropy: 0.5842, recall: 0.9756, relative_absolute_error: 0.1952, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.4261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9747, kappa: 0.8924, kb_relative_information_score: 0.7874, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9751, predictive_accuracy: 0.9753, prior_entropy: 0.5842, recall: 0.9753, relative_absolute_error: 0.2274, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1498, root_relative_squared_error: 0.4318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9703, kappa: 0.8728, kb_relative_information_score: 0.7392, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9713, predictive_accuracy: 0.9713, prior_entropy: 0.5842, recall: 0.9713, relative_absolute_error: 0.2679, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9651, kappa: 0.8497, kb_relative_information_score: 0.7597, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9663, predictive_accuracy: 0.9665, prior_entropy: 0.5842, recall: 0.9665, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.4767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9752, kappa: 0.8956, kb_relative_information_score: 0.8598, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9752, predictive_accuracy: 0.9756, prior_entropy: 0.5842, recall: 0.9756, relative_absolute_error: 0.1169, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.4182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9752, kappa: 0.8956, kb_relative_information_score: 0.8598, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9752, predictive_accuracy: 0.9756, prior_entropy: 0.5842, recall: 0.9756, relative_absolute_error: 0.1169, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.4182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5319, f_measure: 0.769, kappa: 0.0611, kb_relative_information_score: -0.2317, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.774, predictive_accuracy: 0.7643, prior_entropy: 0.5842, recall: 0.7643, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4855, root_relative_squared_error: 1.3994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9753, kappa: 0.8964, kb_relative_information_score: 0.8523, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9753, predictive_accuracy: 0.9756, prior_entropy: 0.5842, recall: 0.9756, relative_absolute_error: 0.1272, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.143, root_relative_squared_error: 0.4121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2686, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, predictive_accuracy: 0.86, prior_entropy: 0.5842, recall: 0.86, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3741, root_relative_squared_error: 1.0783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2686, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, predictive_accuracy: 0.86, prior_entropy: 0.5842, recall: 0.86, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3741, root_relative_squared_error: 1.0783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5278, f_measure: 0.7384, kappa: 0.0454, kb_relative_information_score: -0.501, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7711, predictive_accuracy: 0.7127, prior_entropy: 0.5842, recall: 0.7127, relative_absolute_error: 1.1924, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.536, root_relative_squared_error: 1.5448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.974, kappa: 0.8908, kb_relative_information_score: 0.8359, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.974, predictive_accuracy: 0.9744, prior_entropy: 0.5842, recall: 0.9744, relative_absolute_error: 0.1424, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.4225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9737, kappa: 0.8894, kb_relative_information_score: 0.8575, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9737, predictive_accuracy: 0.9741, prior_entropy: 0.5842, recall: 0.9741, relative_absolute_error: 0.1147, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.153, root_relative_squared_error: 0.4409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9572, kappa: 0.8126, kb_relative_information_score: 0.685, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9605, predictive_accuracy: 0.9597, prior_entropy: 0.5842, recall: 0.9597, relative_absolute_error: 0.3458, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.5111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7728, kappa: 0.0002, kb_relative_information_score: -0.1074, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7593, predictive_accuracy: 0.788, prior_entropy: 0.5842, recall: 0.788, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4604, root_relative_squared_error: 1.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.9576, kappa: 0.8202, kb_relative_information_score: 0.7833, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9574, predictive_accuracy: 0.9585, prior_entropy: 0.5842, recall: 0.9585, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.9576, kappa: 0.8202, kb_relative_information_score: 0.7833, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9574, predictive_accuracy: 0.9585, prior_entropy: 0.5842, recall: 0.9585, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.9576, kappa: 0.8202, kb_relative_information_score: 0.7833, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9574, predictive_accuracy: 0.9585, prior_entropy: 0.5842, recall: 0.9585, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.9576, kappa: 0.8202, kb_relative_information_score: 0.7833, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9574, predictive_accuracy: 0.9585, prior_entropy: 0.5842, recall: 0.9585, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.9576, kappa: 0.8202, kb_relative_information_score: 0.7833, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9574, predictive_accuracy: 0.9585, prior_entropy: 0.5842, recall: 0.9585, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.9576, kappa: 0.8202, kb_relative_information_score: 0.7833, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9574, predictive_accuracy: 0.9585, prior_entropy: 0.5842, recall: 0.9585, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.9576, kappa: 0.8202, kb_relative_information_score: 0.7833, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9574, predictive_accuracy: 0.9585, prior_entropy: 0.5842, recall: 0.9585, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.9576, kappa: 0.8202, kb_relative_information_score: 0.7833, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9574, predictive_accuracy: 0.9585, prior_entropy: 0.5842, recall: 0.9585, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.9576, kappa: 0.8202, kb_relative_information_score: 0.7833, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9574, predictive_accuracy: 0.9585, prior_entropy: 0.5842, recall: 0.9585, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.9576, kappa: 0.8202, kb_relative_information_score: 0.7833, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9574, predictive_accuracy: 0.9585, prior_entropy: 0.5842, recall: 0.9585, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.9576, kappa: 0.8202, kb_relative_information_score: 0.7833, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9574, predictive_accuracy: 0.9585, prior_entropy: 0.5842, recall: 0.9585, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.9576, kappa: 0.8199, kb_relative_information_score: 0.7833, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9574, predictive_accuracy: 0.9585, prior_entropy: 0.5842, recall: 0.9585, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.9351, kappa: 0.7098, kb_relative_information_score: 0.6909, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9417, predictive_accuracy: 0.9408, prior_entropy: 0.5842, recall: 0.9408, relative_absolute_error: 0.2456, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.9566, kappa: 0.8161, kb_relative_information_score: 0.7785, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9565, predictive_accuracy: 0.9576, prior_entropy: 0.5842, recall: 0.9576, relative_absolute_error: 0.1759, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.5934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.9579, kappa: 0.8213, kb_relative_information_score: 0.7849, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9578, predictive_accuracy: 0.9588, prior_entropy: 0.5842, recall: 0.9588, relative_absolute_error: 0.1709, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.5848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.9374, kappa: 0.7212, kb_relative_information_score: 0.7004, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9432, predictive_accuracy: 0.9427, prior_entropy: 0.5842, recall: 0.9427, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.6901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.9576, kappa: 0.8202, kb_relative_information_score: 0.7833, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9574, predictive_accuracy: 0.9585, prior_entropy: 0.5842, recall: 0.9585, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.9556, kappa: 0.8122, kb_relative_information_score: 0.7721, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9553, predictive_accuracy: 0.9564, prior_entropy: 0.5842, recall: 0.9564, relative_absolute_error: 0.181, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.6019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.9563, kappa: 0.8142, kb_relative_information_score: 0.7769, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9561, predictive_accuracy: 0.9573, prior_entropy: 0.5842, recall: 0.9573, relative_absolute_error: 0.1772, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.5955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.9576, kappa: 0.8202, kb_relative_information_score: 0.7833, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9574, predictive_accuracy: 0.9585, prior_entropy: 0.5842, recall: 0.9585, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.9576, kappa: 0.8202, kb_relative_information_score: 0.7833, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9574, predictive_accuracy: 0.9585, prior_entropy: 0.5842, recall: 0.9585, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.9374, kappa: 0.7212, kb_relative_information_score: 0.7004, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9432, predictive_accuracy: 0.9427, prior_entropy: 0.5842, recall: 0.9427, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.6901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.958, kappa: 0.822, kb_relative_information_score: 0.7849, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9578, predictive_accuracy: 0.9588, prior_entropy: 0.5842, recall: 0.9588, relative_absolute_error: 0.1709, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.5848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.9374, kappa: 0.7212, kb_relative_information_score: 0.7004, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9432, predictive_accuracy: 0.9427, prior_entropy: 0.5842, recall: 0.9427, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.6901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.9576, kappa: 0.8202, kb_relative_information_score: 0.7833, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9574, predictive_accuracy: 0.9585, prior_entropy: 0.5842, recall: 0.9585, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.9374, kappa: 0.7212, kb_relative_information_score: 0.7004, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9432, predictive_accuracy: 0.9427, prior_entropy: 0.5842, recall: 0.9427, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.6901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.9576, kappa: 0.8202, kb_relative_information_score: 0.7833, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9574, predictive_accuracy: 0.9585, prior_entropy: 0.5842, recall: 0.9585, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.9551, kappa: 0.8096, kb_relative_information_score: 0.7705, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9549, predictive_accuracy: 0.9561, prior_entropy: 0.5842, recall: 0.9561, relative_absolute_error: 0.1823, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.9374, kappa: 0.7212, kb_relative_information_score: 0.7004, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9432, predictive_accuracy: 0.9427, prior_entropy: 0.5842, recall: 0.9427, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.6901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.9371, kappa: 0.72, kb_relative_information_score: 0.6988, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9428, predictive_accuracy: 0.9424, prior_entropy: 0.5842, recall: 0.9424, relative_absolute_error: 0.2392, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2401, root_relative_squared_error: 0.6919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.9374, kappa: 0.7212, kb_relative_information_score: 0.7004, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9432, predictive_accuracy: 0.9427, prior_entropy: 0.5842, recall: 0.9427, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.6901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.9547, kappa: 0.8077, kb_relative_information_score: 0.7689, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9545, predictive_accuracy: 0.9558, prior_entropy: 0.5842, recall: 0.9558, relative_absolute_error: 0.1835, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.6061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.9576, kappa: 0.8202, kb_relative_information_score: 0.7833, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9574, predictive_accuracy: 0.9585, prior_entropy: 0.5842, recall: 0.9585, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.587,

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