OpenML
Supervised Classification on Fashion-MNIST

Supervised Classification on Fashion-MNIST

Task 146825 Supervised Classification Fashion-MNIST 451 runs submitted
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  • OpenML-CC18 study_218 study_99 vision
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9091, kappa: 0.8995, kb_relative_information_score: 0.913, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9092, predictive_accuracy: 0.9096, prior_entropy: 3.3219, recall: 0.9096, relative_absolute_error: 0.1085, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1199, root_relative_squared_error: 0.3995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.7961, kappa: 0.7747, kb_relative_information_score: 0.7906, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.7953, predictive_accuracy: 0.7972, prior_entropy: 3.3219, recall: 0.7972, relative_absolute_error: 0.2611, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.6256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.8102, kappa: 0.7918, kb_relative_information_score: 0.6873, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8121, predictive_accuracy: 0.8126, prior_entropy: 3.3219, recall: 0.8126, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.8906, kappa: 0.879, kb_relative_information_score: 0.8856, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8905, predictive_accuracy: 0.8911, prior_entropy: 3.3219, recall: 0.8911, relative_absolute_error: 0.1742, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.4172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9074, kappa: 0.8974, kb_relative_information_score: 0.9093, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9074, predictive_accuracy: 0.9077, prior_entropy: 3.3219, recall: 0.9077, relative_absolute_error: 0.1265, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1167, root_relative_squared_error: 0.3891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.8724, kappa: 0.8597, kb_relative_information_score: 0.8577, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8725, predictive_accuracy: 0.8737, prior_entropy: 3.3219, recall: 0.8737, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.4458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5383, f_measure: 0.1669, kappa: 0.0769, kb_relative_information_score: 0.1312, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.2013, predictive_accuracy: 0.1692, prior_entropy: 3.3219, recall: 0.1692, relative_absolute_error: 0.9231, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4076, root_relative_squared_error: 1.3587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.8985, kappa: 0.8878, kb_relative_information_score: 0.8925, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8985, predictive_accuracy: 0.899, prior_entropy: 3.3219, recall: 0.899, relative_absolute_error: 0.1639, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.4002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8401, kappa: 0.8129, kb_relative_information_score: 0.831, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8681, predictive_accuracy: 0.8316, prior_entropy: 3.3219, recall: 0.8316, relative_absolute_error: 0.1958, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.8056, kappa: 0.7856, kb_relative_information_score: 0.7298, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8081, predictive_accuracy: 0.8071, prior_entropy: 3.3219, recall: 0.8071, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.5715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8276, kappa: 0.8088, kb_relative_information_score: 0.8206, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8276, predictive_accuracy: 0.8279, prior_entropy: 3.3219, recall: 0.8279, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.5678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.853, kappa: 0.8378, kb_relative_information_score: 0.8422, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.853, predictive_accuracy: 0.854, prior_entropy: 3.3219, recall: 0.854, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.4982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.8667, kappa: 0.8533, kb_relative_information_score: 0.8461, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8668, predictive_accuracy: 0.868, prior_entropy: 3.3219, recall: 0.868, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.4584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5152, kappa: 0.031, kb_relative_information_score: 0.0884, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.18, number_of_instances: 70000, predictive_accuracy: 0.1279, prior_entropy: 3.3219, recall: 0.1279, relative_absolute_error: 0.9694, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4174, root_relative_squared_error: 1.3913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.914, kappa: 0.905, kb_relative_information_score: 0.9172, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.914, predictive_accuracy: 0.9145, prior_entropy: 3.3219, recall: 0.9145, relative_absolute_error: 0.0996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.119, root_relative_squared_error: 0.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.8527, kappa: 0.8368, kb_relative_information_score: 0.8473, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8528, predictive_accuracy: 0.8531, prior_entropy: 3.3219, recall: 0.8531, relative_absolute_error: 0.2117, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.5069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.898, kappa: 0.8873, kb_relative_information_score: 0.8878, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8979, predictive_accuracy: 0.8986, prior_entropy: 3.3219, recall: 0.8986, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.12, root_relative_squared_error: 0.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8112, kappa: 0.7919, kb_relative_information_score: 0.7579, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8131, predictive_accuracy: 0.8127, prior_entropy: 3.3219, recall: 0.8127, relative_absolute_error: 0.3825, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.166, root_relative_squared_error: 0.5534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9136, kappa: 0.9046, kb_relative_information_score: 0.9159, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9137, predictive_accuracy: 0.9142, prior_entropy: 3.3219, recall: 0.9142, relative_absolute_error: 0.0996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.4019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.8685, kappa: 0.8535, kb_relative_information_score: 0.8678, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8689, predictive_accuracy: 0.8681, prior_entropy: 3.3219, recall: 0.8681, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.5141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9098, kappa: 0.9001, kb_relative_information_score: 0.9117, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9098, predictive_accuracy: 0.9101, prior_entropy: 3.3219, recall: 0.9101, relative_absolute_error: 0.1236, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.115, root_relative_squared_error: 0.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.8277, kappa: 0.8093, kb_relative_information_score: 0.8235, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8276, predictive_accuracy: 0.8283, prior_entropy: 3.3219, recall: 0.8283, relative_absolute_error: 0.2286, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.5652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9077, kappa: 0.8979, kb_relative_information_score: 0.9096, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9078, predictive_accuracy: 0.9081, prior_entropy: 3.3219, recall: 0.9081, relative_absolute_error: 0.127, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.8826, kappa: 0.87, kb_relative_information_score: 0.8812, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8826, predictive_accuracy: 0.883, prior_entropy: 3.3219, recall: 0.883, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.135, root_relative_squared_error: 0.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.7759, kappa: 0.7519, kb_relative_information_score: 0.5841, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.7834, predictive_accuracy: 0.7767, prior_entropy: 3.3219, recall: 0.7767, relative_absolute_error: 0.6248, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.6887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 70000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 70000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.8995, kappa: 0.8888, kb_relative_information_score: 0.9028, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8995, predictive_accuracy: 0.8999, prior_entropy: 3.3219, recall: 0.8999, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.4155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.8761, kappa: 0.8634, kb_relative_information_score: 0.8661, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.876, predictive_accuracy: 0.877, prior_entropy: 3.3219, recall: 0.877, relative_absolute_error: 0.2066, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.8958, kappa: 0.8847, kb_relative_information_score: 0.8986, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8957, predictive_accuracy: 0.8963, prior_entropy: 3.3219, recall: 0.8963, relative_absolute_error: 0.1277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1284, root_relative_squared_error: 0.4278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9124, kappa: 0.903, kb_relative_information_score: 0.915, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9125, predictive_accuracy: 0.9127, prior_entropy: 3.3219, recall: 0.9127, relative_absolute_error: 0.1151, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1146, root_relative_squared_error: 0.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.831, kappa: 0.8135, kb_relative_information_score: 0.7921, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8318, predictive_accuracy: 0.8321, prior_entropy: 3.3219, recall: 0.8321, relative_absolute_error: 0.3287, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.5215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5038, kappa: 0.0075, kb_relative_information_score: 0.0659, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.18, number_of_instances: 70000, predictive_accuracy: 0.1068, prior_entropy: 3.3219, recall: 0.1068, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4227, root_relative_squared_error: 1.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.6391, kappa: 0.5858, kb_relative_information_score: 0.6146, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.693, predictive_accuracy: 0.6272, prior_entropy: 3.3219, recall: 0.6272, relative_absolute_error: 0.4241, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.8924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5023, f_measure: 0.0958, kappa: 0.0047, kb_relative_information_score: 0.0632, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.1768, predictive_accuracy: 0.1042, prior_entropy: 3.3219, recall: 0.1042, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4233, root_relative_squared_error: 1.4109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.8279, kappa: 0.8102, kb_relative_information_score: 0.7894, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8289, predictive_accuracy: 0.8292, prior_entropy: 3.3219, recall: 0.8292, relative_absolute_error: 0.3323, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.5249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5709, f_measure: 0.266, kappa: 0.1813, kb_relative_information_score: 0.2305, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.4106, predictive_accuracy: 0.2631, prior_entropy: 3.3219, recall: 0.2631, relative_absolute_error: 0.8205, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3829, root_relative_squared_error: 1.2762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 70000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 70000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 70000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.906, kappa: 0.896, kb_relative_information_score: 0.9083, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.906, predictive_accuracy: 0.9064, prior_entropy: 3.3219, recall: 0.9064, relative_absolute_error: 0.1288, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1164, root_relative_squared_error: 0.3881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.8979, kappa: 0.8869, kb_relative_information_score: 0.9022, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.898, predictive_accuracy: 0.8982, prior_entropy: 3.3219, recall: 0.8982, relative_absolute_error: 0.1277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.125, root_relative_squared_error: 0.4168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.8381, kappa: 0.8193, kb_relative_information_score: 0.8351, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.839, predictive_accuracy: 0.8373, prior_entropy: 3.3219, recall: 0.8373, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.8934, kappa: 0.8822, kb_relative_information_score: 0.8843, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8934, predictive_accuracy: 0.894, prior_entropy: 3.3219, recall: 0.894, relative_absolute_error: 0.1803, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.4111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.8754, kappa: 0.8623, kb_relative_information_score: 0.8693, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8752, predictive_accuracy: 0.8761, prior_entropy: 3.3219, recall: 0.8761, relative_absolute_error: 0.1902, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.137, root_relative_squared_error: 0.4568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.8966, kappa: 0.8857, kb_relative_information_score: 0.8919, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8965, predictive_accuracy: 0.8971, prior_entropy: 3.3219, recall: 0.8971, relative_absolute_error: 0.1649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.4058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.8556, kappa: 0.8404, kb_relative_information_score: 0.8482, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8556, predictive_accuracy: 0.8564, prior_entropy: 3.3219, recall: 0.8564, relative_absolute_error: 0.213, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.5011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.8947, kappa: 0.8835, kb_relative_information_score: 0.8859, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8947, predictive_accuracy: 0.8952, prior_entropy: 3.3219, recall: 0.8952, relative_absolute_error: 0.176, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.122, root_relative_squared_error: 0.4066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8294, kappa: 0.8117, kb_relative_information_score: 0.7907, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8301, predictive_accuracy: 0.8305, prior_entropy: 3.3219, recall: 0.8305, relative_absolute_error: 0.3307, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.5231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.7844, kappa: 0.7598, kb_relative_information_score: 0.774, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.7852, predictive_accuracy: 0.7838, prior_entropy: 3.3219, recall: 0.7838, relative_absolute_error: 0.2402, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.6931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 70000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.8385, kappa: 0.8215, kb_relative_information_score: 0.8318, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8385, predictive_accuracy: 0.8393, prior_entropy: 3.3219, recall: 0.8393, relative_absolute_error: 0.228, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.5382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8921, kappa: 0.88, kb_relative_information_score: 0.8923, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8931, predictive_accuracy: 0.892, prior_entropy: 3.3219, recall: 0.892, relative_absolute_error: 0.1445, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.4344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 70000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 70000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.8975, kappa: 0.8869, kb_relative_information_score: 0.8887, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8975, predictive_accuracy: 0.8982, prior_entropy: 3.3219, recall: 0.8982, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.4019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5096, kappa: 0.0187, kb_relative_information_score: 0.0765, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.18, number_of_instances: 70000, predictive_accuracy: 0.1169, prior_entropy: 3.3219, recall: 0.1169, relative_absolute_error: 0.9813, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4202, root_relative_squared_error: 1.4008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9143, kappa: 0.9053, kb_relative_information_score: 0.9171, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9143, predictive_accuracy: 0.9148, prior_entropy: 3.3219, recall: 0.9148, relative_absolute_error: 0.0988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.3984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9107, kappa: 0.9012, kb_relative_information_score: 0.9113, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9107, predictive_accuracy: 0.911, prior_entropy: 3.3219, recall: 0.911, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1135, root_relative_squared_error: 0.3784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 70000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.897, kappa: 0.8862, kb_relative_information_score: 0.8901, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8969, predictive_accuracy: 0.8976, prior_entropy: 3.3219, recall: 0.8976, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.4024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 70000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.8446, kappa: 0.828, kb_relative_information_score: 0.8401, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8447, predictive_accuracy: 0.8452, prior_entropy: 3.3219, recall: 0.8452, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.8446, kappa: 0.828, kb_relative_information_score: 0.8401, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8447, predictive_accuracy: 0.8452, prior_entropy: 3.3219, recall: 0.8452, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.8979, kappa: 0.8871, kb_relative_information_score: 0.8899, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8979, predictive_accuracy: 0.8984, prior_entropy: 3.3219, recall: 0.8984, relative_absolute_error: 0.1685, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.4006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.8979, kappa: 0.8871, kb_relative_information_score: 0.8899, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8979, predictive_accuracy: 0.8984, prior_entropy: 3.3219, recall: 0.8984, relative_absolute_error: 0.1685, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.4006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.8605, kappa: 0.846, kb_relative_information_score: 0.853, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8603, predictive_accuracy: 0.8614, prior_entropy: 3.3219, recall: 0.8614, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.4847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.8605, kappa: 0.846, kb_relative_information_score: 0.853, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8603, predictive_accuracy: 0.8614, prior_entropy: 3.3219, recall: 0.8614, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.4847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, f_measure: 0.7152, kappa: 0.6587, kb_relative_information_score: 0.6813, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.784, predictive_accuracy: 0.6928, prior_entropy: 3.3219, recall: 0.6928, relative_absolute_error: 0.3651, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2404, root_relative_squared_error: 0.8012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, f_measure: 0.7152, kappa: 0.6587, kb_relative_information_score: 0.6813, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.784, predictive_accuracy: 0.6928, prior_entropy: 3.3219, recall: 0.6928, relative_absolute_error: 0.3651, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2404, root_relative_squared_error: 0.8012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.8202, kappa: 0.8011, kb_relative_information_score: 0.815, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8198, predictive_accuracy: 0.821, prior_entropy: 3.3219, recall: 0.821, relative_absolute_error: 0.2383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.5792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.8202, kappa: 0.8011, kb_relative_information_score: 0.815, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8198, predictive_accuracy: 0.821, prior_entropy: 3.3219, recall: 0.821, relative_absolute_error: 0.2383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.5792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.776, kappa: 0.7303, kb_relative_information_score: 0.751, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8364, predictive_accuracy: 0.7572, prior_entropy: 3.3219, recall: 0.7572, relative_absolute_error: 0.2748, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.7162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.776, kappa: 0.7303, kb_relative_information_score: 0.751, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8364, predictive_accuracy: 0.7572, prior_entropy: 3.3219, recall: 0.7572, relative_absolute_error: 0.2748, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.7162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.8718, kappa: 0.8586, kb_relative_information_score: 0.8593, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8717, predictive_accuracy: 0.8727, prior_entropy: 3.3219, recall: 0.8727, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.4482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.8718, kappa: 0.8586, kb_relative_information_score: 0.8593, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8717, predictive_accuracy: 0.8727, prior_entropy: 3.3219, recall: 0.8727, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.4482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.8488, kappa: 0.8334, kb_relative_information_score: 0.823, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.849, predictive_accuracy: 0.85, prior_entropy: 3.3219, recall: 0.85, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.4895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.8488, kappa: 0.8334, kb_relative_information_score: 0.823, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.849, predictive_accuracy: 0.85, prior_entropy: 3.3219, recall: 0.85, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.4895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9134, kappa: 0.9043, kb_relative_information_score: 0.9167, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9134, predictive_accuracy: 0.9139, prior_entropy: 3.3219, recall: 0.9139, relative_absolute_error: 0.0999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9134, kappa: 0.9043, kb_relative_information_score: 0.9167, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9134, predictive_accuracy: 0.9139, prior_entropy: 3.3219, recall: 0.9139, relative_absolute_error: 0.0999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8415, kappa: 0.8134, kb_relative_information_score: 0.8314, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8615, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.197, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.5764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8415, kappa: 0.8134, kb_relative_information_score: 0.8314, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8615, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.197, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.5764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9035, kappa: 0.8932, kb_relative_information_score: 0.9029, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9035, predictive_accuracy: 0.9039, prior_entropy: 3.3219, recall: 0.9039, relative_absolute_error: 0.1437, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1172, root_relative_squared_error: 0.3907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9035, kappa: 0.8932, kb_relative_information_score: 0.9029, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9035, predictive_accuracy: 0.9039, prior_entropy: 3.3219, recall: 0.9039, relative_absolute_error: 0.1437, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1172, root_relative_squared_error: 0.3907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9065, kappa: 0.8963, kb_relative_information_score: 0.9069, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9065, predictive_accuracy: 0.9067, prior_entropy: 3.3219, recall: 0.9067, relative_absolute_error: 0.136, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.3861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9065, kappa: 0.8963, kb_relative_information_score: 0.9069, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9065, predictive_accuracy: 0.9067, prior_entropy: 3.3219, recall: 0.9067, relative_absolute_error: 0.136, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.3861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8361, kappa: 0.8186, kb_relative_information_score: 0.83, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8361, predictive_accuracy: 0.8367, prior_entropy: 3.3219, recall: 0.8367, relative_absolute_error: 0.2283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.163, root_relative_squared_error: 0.5435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8361, kappa: 0.8186, kb_relative_information_score: 0.83, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8361, predictive_accuracy: 0.8367, prior_entropy: 3.3219, recall: 0.8367, relative_absolute_error: 0.2283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.163, root_relative_squared_error: 0.5435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9129, kappa: 0.9037, kb_relative_information_score: 0.9153, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9129, predictive_accuracy: 0.9133, prior_entropy: 3.3219, recall: 0.9133, relative_absolute_error: 0.1153, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9129, kappa: 0.9037, kb_relative_information_score: 0.9153, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9129, predictive_accuracy: 0.9133, prior_entropy: 3.3219, recall: 0.9133, relative_absolute_error: 0.1153, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9141, kappa: 0.9052, kb_relative_information_score: 0.9173, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9142, predictive_accuracy: 0.9147, prior_entropy: 3.3219, recall: 0.9147, relative_absolute_error: 0.0991, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9141, kappa: 0.9052, kb_relative_information_score: 0.9173, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9142, predictive_accuracy: 0.9147, prior_entropy: 3.3219, recall: 0.9147, relative_absolute_error: 0.0991, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9103, kappa: 0.9006, kb_relative_information_score: 0.9126, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9104, predictive_accuracy: 0.9106, prior_entropy: 3.3219, recall: 0.9106, relative_absolute_error: 0.1196, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9129, kappa: 0.9038, kb_relative_information_score: 0.9158, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.913, predictive_accuracy: 0.9134, prior_entropy: 3.3219, recall: 0.9134, relative_absolute_error: 0.1003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.4012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.8745, kappa: 0.8606, kb_relative_information_score: 0.87, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8746, predictive_accuracy: 0.8745, prior_entropy: 3.3219, recall: 0.8745, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.4623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.8745, kappa: 0.8606, kb_relative_information_score: 0.87, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8746, predictive_accuracy: 0.8745, prior_entropy: 3.3219, recall: 0.8745, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.4623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9123, kappa: 0.903, kb_relative_information_score: 0.9152, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9123, predictive_accuracy: 0.9127, prior_entropy: 3.3219, recall: 0.9127, relative_absolute_error: 0.1138, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.3817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9123, kappa: 0.903, kb_relative_information_score: 0.9152, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9123, predictive_accuracy: 0.9127, prior_entropy: 3.3219, recall: 0.9127, relative_absolute_error: 0.1138, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.3817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.8389, kappa: 0.8223, kb_relative_information_score: 0.8075, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8393, predictive_accuracy: 0.8401, prior_entropy: 3.3219, recall: 0.8401, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.5057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.8389, kappa: 0.8223, kb_relative_information_score: 0.8075, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8393, predictive_accuracy: 0.8401, prior_entropy: 3.3219, recall: 0.8401, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.5057,

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

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

OpenML APIs