OpenML
Supervised Classification on car

Supervised Classification on car

Task 21 Supervised Classification car 12568 runs submitted
1 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 under100k under1m
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12568 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.905, kappa: 0.7978, kb_relative_information_score: 1276.6783, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9135, predictive_accuracy: 0.9022, prior_entropy: 1.2099, recall: 0.9022, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.5824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9287, kappa: 0.8454, kb_relative_information_score: 1375.5966, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9333, predictive_accuracy: 0.9265, prior_entropy: 1.2099, recall: 0.9265, relative_absolute_error: 0.2513, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.4948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.942, kappa: 0.8734, kb_relative_information_score: 1501.5027, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9426, predictive_accuracy: 0.9416, prior_entropy: 1.2099, recall: 0.9416, relative_absolute_error: 0.156, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.4196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.939, kappa: 0.8669, kb_relative_information_score: 1489.0259, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9396, predictive_accuracy: 0.9387, prior_entropy: 1.2099, recall: 0.9387, relative_absolute_error: 0.1648, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.4265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9303, kappa: 0.8489, kb_relative_information_score: 1390.3118, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9346, predictive_accuracy: 0.9282, prior_entropy: 1.2099, recall: 0.9282, relative_absolute_error: 0.2402, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.4837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9987, kb_relative_information_score: 1700.3151, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 1.2099, recall: 0.9994, relative_absolute_error: 0.0215, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0216, root_relative_squared_error: 0.0639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9268, kappa: 0.8412, kb_relative_information_score: 1371.6854, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.931, predictive_accuracy: 0.9248, prior_entropy: 1.2099, recall: 0.9248, relative_absolute_error: 0.2552, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9497, kappa: 0.8903, kb_relative_information_score: 1562.5651, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9499, predictive_accuracy: 0.9497, prior_entropy: 1.2099, recall: 0.9497, relative_absolute_error: 0.106, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.3682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9604, kappa: 0.9134, kb_relative_information_score: 1583.1073, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9609, predictive_accuracy: 0.9601, prior_entropy: 1.2099, recall: 0.9601, relative_absolute_error: 0.0931, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.3458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.899, kappa: 0.783, kb_relative_information_score: 1268.745, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9073, predictive_accuracy: 0.8953, prior_entropy: 1.2099, recall: 0.8953, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.5802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9218, kappa: 0.8296, kb_relative_information_score: 1400.6869, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9243, predictive_accuracy: 0.9207, prior_entropy: 1.2099, recall: 0.9207, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.4888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2316, kb_relative_information_score: 6.0537, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3383, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.8862, kappa: 0.7586, kb_relative_information_score: 1204.5564, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8995, predictive_accuracy: 0.8819, prior_entropy: 1.2099, recall: 0.8819, relative_absolute_error: 0.3696, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.6231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.923, kappa: 0.8316, kb_relative_information_score: 1454.6944, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9236, predictive_accuracy: 0.9225, prior_entropy: 1.2099, recall: 0.9225, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9972, kappa: 0.9937, kb_relative_information_score: 1693.1956, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9973, predictive_accuracy: 0.9971, prior_entropy: 1.2099, recall: 0.9971, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0344, root_relative_squared_error: 0.1016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9112, kappa: 0.8083, kb_relative_information_score: 1380.0431, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9133, predictive_accuracy: 0.9109, prior_entropy: 1.2099, recall: 0.9109, relative_absolute_error: 0.2405, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, kappa: 0.0053, kb_relative_information_score: 93.5707, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.6875, prior_entropy: 1.2099, recall: 0.6875, relative_absolute_error: 0.9299, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.9726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.7645, kappa: 0.513, kb_relative_information_score: 625.6151, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8288, predictive_accuracy: 0.7344, prior_entropy: 1.2099, recall: 0.7344, relative_absolute_error: 0.7395, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.8832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.923, kappa: 0.8316, kb_relative_information_score: 1454.6233, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9236, predictive_accuracy: 0.9225, prior_entropy: 1.2099, recall: 0.9225, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, kappa: 0.175, kb_relative_information_score: 332.889, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.6852, prior_entropy: 1.2099, recall: 0.6852, relative_absolute_error: 0.8255, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.9182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9241, kappa: 0.834, kb_relative_information_score: 1423.2866, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9257, predictive_accuracy: 0.923, prior_entropy: 1.2099, recall: 0.923, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9374, kappa: 0.8631, kb_relative_information_score: 1479.4461, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9406, predictive_accuracy: 0.9358, prior_entropy: 1.2099, recall: 0.9358, relative_absolute_error: 0.1709, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.914, kappa: 0.8143, kb_relative_information_score: 1403.0427, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9156, predictive_accuracy: 0.9138, prior_entropy: 1.2099, recall: 0.9138, relative_absolute_error: 0.2273, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.4898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9403, kappa: 0.8684, kb_relative_information_score: 1494.6153, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9426, predictive_accuracy: 0.9387, prior_entropy: 1.2099, recall: 0.9387, relative_absolute_error: 0.1592, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.4188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9936, kappa: 0.9861, kb_relative_information_score: 1644.1336, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9937, predictive_accuracy: 0.9936, prior_entropy: 1.2099, recall: 0.9936, relative_absolute_error: 0.0684, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.06, root_relative_squared_error: 0.1774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1703.5051, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2099, recall: 1, relative_absolute_error: 0.0182, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0202, root_relative_squared_error: 0.0597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, kappa: 0.1259, kb_relative_information_score: 312.3798, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.6644, prior_entropy: 1.2099, recall: 0.6644, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.314, root_relative_squared_error: 0.9287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.8991, kappa: 0.7786, kb_relative_information_score: 1313.3114, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8991, predictive_accuracy: 0.8993, prior_entropy: 1.2099, recall: 0.8993, relative_absolute_error: 0.2931, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.5391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.781, kappa: 0.5317, kb_relative_information_score: 1082.4462, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.7724, predictive_accuracy: 0.8096, prior_entropy: 1.2099, recall: 0.8096, relative_absolute_error: 0.3461, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.7172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.8991, kappa: 0.7818, kb_relative_information_score: 1267.995, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9088, predictive_accuracy: 0.8947, prior_entropy: 1.2099, recall: 0.8947, relative_absolute_error: 0.3286, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.5838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.942, kappa: 0.8734, kb_relative_information_score: 1501.9375, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9426, predictive_accuracy: 0.9416, prior_entropy: 1.2099, recall: 0.9416, relative_absolute_error: 0.1556, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.4194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9386, kappa: 0.8657, kb_relative_information_score: 1369.0513, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9392, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 0.2534, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.4885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9383, kappa: 0.8656, kb_relative_information_score: 1415.3539, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9375, prior_entropy: 1.2099, recall: 0.9375, relative_absolute_error: 0.2293, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.4536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.888, kappa: 0.7568, kb_relative_information_score: 1352.7718, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8883, predictive_accuracy: 0.8883, prior_entropy: 1.2099, recall: 0.8883, relative_absolute_error: 0.2455, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.5491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8279, kappa: 0.6773, kb_relative_information_score: -196.6661, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8124, predictive_accuracy: 0.8542, prior_entropy: 1.2099, recall: 0.8542, relative_absolute_error: 1.1754, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3411, root_relative_squared_error: 1.0089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.8781, kappa: 0.7386, kb_relative_information_score: 1200.7165, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8868, predictive_accuracy: 0.8744, prior_entropy: 1.2099, recall: 0.8744, relative_absolute_error: 0.3727, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.8905, kappa: 0.7699, kb_relative_information_score: 1260.4845, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9015, predictive_accuracy: 0.8889, prior_entropy: 1.2099, recall: 0.8889, relative_absolute_error: 0.3312, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.5846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6536, kappa: -0.009, kb_relative_information_score: 56.6695, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.695, prior_entropy: 1.2099, recall: 0.695, relative_absolute_error: 0.9415, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.9855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9398, kappa: 0.8688, kb_relative_information_score: 1479.3761, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9423, predictive_accuracy: 0.9387, prior_entropy: 1.2099, recall: 0.9387, relative_absolute_error: 0.1728, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.4355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9172, kappa: 0.821, kb_relative_information_score: 1409.8397, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.919, predictive_accuracy: 0.9167, prior_entropy: 1.2099, recall: 0.9167, relative_absolute_error: 0.2214, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.4846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.96, kappa: 0.9126, kb_relative_information_score: 1521.0166, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.96, predictive_accuracy: 0.9601, prior_entropy: 1.2099, recall: 0.9601, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.8679, kappa: 0.7292, kb_relative_information_score: 1160.8289, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8958, predictive_accuracy: 0.8634, prior_entropy: 1.2099, recall: 0.8634, relative_absolute_error: 0.3993, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.229, root_relative_squared_error: 0.6772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9972, kappa: 0.9937, kb_relative_information_score: 1692.888, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9973, predictive_accuracy: 0.9971, prior_entropy: 1.2099, recall: 0.9971, relative_absolute_error: 0.0257, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.035, root_relative_squared_error: 0.1035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9374, kappa: 0.8631, kb_relative_information_score: 1479.4461, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9406, predictive_accuracy: 0.9358, prior_entropy: 1.2099, recall: 0.9358, relative_absolute_error: 0.1709, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9971, kappa: 0.9937, kb_relative_information_score: 1691.2809, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9972, predictive_accuracy: 0.9971, prior_entropy: 1.2099, recall: 0.9971, relative_absolute_error: 0.0272, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0364, root_relative_squared_error: 0.1076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9047, kappa: 0.7956, kb_relative_information_score: 1269.36, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9134, predictive_accuracy: 0.901, prior_entropy: 1.2099, recall: 0.901, relative_absolute_error: 0.3261, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.197, root_relative_squared_error: 0.5828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, kappa: 0.2964, kb_relative_information_score: 420.2413, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.779, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.8921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9531, kappa: 0.8975, kb_relative_information_score: 1548.3899, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9541, predictive_accuracy: 0.9525, prior_entropy: 1.2099, recall: 0.9525, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.3734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8915, kappa: 0.7613, kb_relative_information_score: 1349.4134, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8938, predictive_accuracy: 0.8964, prior_entropy: 1.2099, recall: 0.8964, relative_absolute_error: 0.2623, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.5165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9987, kb_relative_information_score: 1697.2465, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 1.2099, recall: 0.9994, relative_absolute_error: 0.0243, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0242, root_relative_squared_error: 0.0715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9369, kappa: 0.862, kb_relative_information_score: 1481.5234, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9401, predictive_accuracy: 0.9352, prior_entropy: 1.2099, recall: 0.9352, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.4323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9138, kappa: 0.8114, kb_relative_information_score: 1385.3994, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9165, predictive_accuracy: 0.912, prior_entropy: 1.2099, recall: 0.912, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.5043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9919, kappa: 0.9823, kb_relative_information_score: 1645.9141, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 1.2099, recall: 0.9919, relative_absolute_error: 0.0663, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0598, root_relative_squared_error: 0.1767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9586, kappa: 0.9098, kb_relative_information_score: 1577.9264, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9591, predictive_accuracy: 0.9583, prior_entropy: 1.2099, recall: 0.9583, relative_absolute_error: 0.099, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.3456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9383, kappa: 0.8652, kb_relative_information_score: 1488.5912, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9387, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.4311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9, kappa: 0.7865, kb_relative_information_score: 1250.9645, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9087, predictive_accuracy: 0.897, prior_entropy: 1.2099, recall: 0.897, relative_absolute_error: 0.3394, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.5848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9125, kappa: 0.8089, kb_relative_information_score: 1384.7076, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9149, predictive_accuracy: 0.9109, prior_entropy: 1.2099, recall: 0.9109, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.5035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9479, kappa: 0.8862, kb_relative_information_score: 1539.8803, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9486, predictive_accuracy: 0.9473, prior_entropy: 1.2099, recall: 0.9473, relative_absolute_error: 0.1273, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.131, root_relative_squared_error: 0.3875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9112, kappa: 0.8083, kb_relative_information_score: 1381.0451, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9133, predictive_accuracy: 0.9109, prior_entropy: 1.2099, recall: 0.9109, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.5062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8388, kappa: 0.6541, kb_relative_information_score: 995.9336, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.844, predictive_accuracy: 0.8501, prior_entropy: 1.2099, recall: 0.8501, relative_absolute_error: 0.5006, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.6738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9554, kappa: 0.9025, kb_relative_information_score: 1562.2142, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9563, predictive_accuracy: 0.9549, prior_entropy: 1.2099, recall: 0.9549, relative_absolute_error: 0.1088, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.3604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9398, kappa: 0.8688, kb_relative_information_score: 1479.3761, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9423, predictive_accuracy: 0.9387, prior_entropy: 1.2099, recall: 0.9387, relative_absolute_error: 0.1728, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.4355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9314, kappa: 0.8507, kb_relative_information_score: 1457.4766, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.933, predictive_accuracy: 0.9306, prior_entropy: 1.2099, recall: 0.9306, relative_absolute_error: 0.1876, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.4521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9403, kappa: 0.8684, kb_relative_information_score: 1494.6153, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9426, predictive_accuracy: 0.9387, prior_entropy: 1.2099, recall: 0.9387, relative_absolute_error: 0.1592, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.4188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9277, kappa: 0.8415, kb_relative_information_score: 1461.5428, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9285, predictive_accuracy: 0.9271, prior_entropy: 1.2099, recall: 0.9271, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9132, kappa: 0.8101, kb_relative_information_score: 1389.6347, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9158, predictive_accuracy: 0.9115, prior_entropy: 1.2099, recall: 0.9115, relative_absolute_error: 0.2422, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.5009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9536, kappa: 0.8987, kb_relative_information_score: 1543.3847, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9546, predictive_accuracy: 0.9531, prior_entropy: 1.2099, recall: 0.9531, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.3772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9564, kappa: 0.9054, kb_relative_information_score: 1452.8672, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9589, predictive_accuracy: 0.9554, prior_entropy: 1.2099, recall: 0.9554, relative_absolute_error: 0.2069, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.139, root_relative_squared_error: 0.4112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.8972, kappa: 0.7826, kb_relative_information_score: 1112.6279, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9122, predictive_accuracy: 0.8924, prior_entropy: 1.2099, recall: 0.8924, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.6025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9043, kappa: 0.8227, kb_relative_information_score: 1186.4761, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9205, predictive_accuracy: 0.9178, prior_entropy: 1.2099, recall: 0.9178, relative_absolute_error: 0.3959, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.5603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9536, kappa: 0.8986, kb_relative_information_score: 1554.2118, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9546, predictive_accuracy: 0.9531, prior_entropy: 1.2099, recall: 0.9531, relative_absolute_error: 0.1144, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.3663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1703.672, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2099, recall: 1, relative_absolute_error: 0.0176, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0213, root_relative_squared_error: 0.0631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9532, kappa: 0.898, kb_relative_information_score: 1480.9242, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.956, predictive_accuracy: 0.952, prior_entropy: 1.2099, recall: 0.952, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.4019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9509, kappa: 0.8935, kb_relative_information_score: 1577.3019, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.951, predictive_accuracy: 0.9514, prior_entropy: 1.2099, recall: 0.9514, relative_absolute_error: 0.0931, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.3557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9277, kappa: 0.8415, kb_relative_information_score: 1462.7979, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9285, predictive_accuracy: 0.9271, prior_entropy: 1.2099, recall: 0.9271, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.152, root_relative_squared_error: 0.4497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9497, kappa: 0.8902, kb_relative_information_score: 1557.225, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9498, predictive_accuracy: 0.9497, prior_entropy: 1.2099, recall: 0.9497, relative_absolute_error: 0.1111, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.3704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.7162, kappa: 0.3721, kb_relative_information_score: 555.0662, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.6991, predictive_accuracy: 0.7373, prior_entropy: 1.2099, recall: 0.7373, relative_absolute_error: 0.7248, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.8678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.7638, kappa: 0.5558, kb_relative_information_score: 734.2267, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8023, predictive_accuracy: 0.7743, prior_entropy: 1.2099, recall: 0.7743, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.7728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, kappa: 0.2216, kb_relative_information_score: 332.151, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7083, prior_entropy: 1.2099, recall: 0.7083, relative_absolute_error: 0.8298, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.9154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.8988, kappa: 0.7843, kb_relative_information_score: 1258.5316, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9078, predictive_accuracy: 0.8958, prior_entropy: 1.2099, recall: 0.8958, relative_absolute_error: 0.3327, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.5873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.7598, kappa: 0.5024, kb_relative_information_score: 626.7287, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8283, predictive_accuracy: 0.7263, prior_entropy: 1.2099, recall: 0.7263, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9277, kappa: 0.8415, kb_relative_information_score: 1462.7979, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9285, predictive_accuracy: 0.9271, prior_entropy: 1.2099, recall: 0.9271, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.152, root_relative_squared_error: 0.4497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.923, kappa: 0.8514, kb_relative_information_score: 1092.5099, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5773, scimark_benchmark: 1632.6896, usercpu_time_millis: 100, usercpu_time_millis_testing: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1759.0126, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9593, kappa: 0.9117, kb_relative_information_score: 1450.0448, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.962, predictive_accuracy: 0.9583, prior_entropy: 1.2099, recall: 0.9583, relative_absolute_error: 0.2111, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.137, root_relative_squared_error: 0.4052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, kappa: 0.6692, kb_relative_information_score: 826.4534, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8605, prior_entropy: 1.2099, recall: 0.8605, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.6963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.8473, kappa: 0.6659, kb_relative_information_score: 827.5673, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.849, predictive_accuracy: 0.8461, prior_entropy: 1.2099, recall: 0.8461, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.7386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.923, kappa: 0.8347, kb_relative_information_score: 1395.4366, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9351, predictive_accuracy: 0.919, prior_entropy: 1.2099, recall: 0.919, relative_absolute_error: 0.2253, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.5212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9112, kappa: 0.8083, kb_relative_information_score: 1380.0431, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9133, predictive_accuracy: 0.9109, prior_entropy: 1.2099, recall: 0.9109, relative_absolute_error: 0.2405, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9554, kappa: 0.9026, kb_relative_information_score: 1559.929, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9564, predictive_accuracy: 0.9549, prior_entropy: 1.2099, recall: 0.9549, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.914, kappa: 0.8143, kb_relative_information_score: 1403.0427, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9156, predictive_accuracy: 0.9138, prior_entropy: 1.2099, recall: 0.9138, relative_absolute_error: 0.2273, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.4898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9125, kappa: 0.8089, kb_relative_information_score: 1384.7076, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9149, predictive_accuracy: 0.9109, prior_entropy: 1.2099, recall: 0.9109, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.5035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9555, kappa: 0.9028, kb_relative_information_score: 1563.8265, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9565, predictive_accuracy: 0.9549, prior_entropy: 1.2099, recall: 0.9549, relative_absolute_error: 0.1068, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1227, root_relative_squared_error: 0.3629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9421, kappa: 0.8737, kb_relative_information_score: 1502.5581, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9429, predictive_accuracy: 0.9416, prior_entropy: 1.2099, recall: 0.9416, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.4224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9134, kappa: 0.8138, kb_relative_information_score: 1400.3314, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9161, predictive_accuracy: 0.9132, prior_entropy: 1.2099, recall: 0.9132, relative_absolute_error: 0.2294, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.4921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9432, kappa: 0.8849, kb_relative_information_score: 1163.8461, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9496, predictive_accuracy: 0.9473, prior_entropy: 1.2099, recall: 0.9473, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.5344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9523, kappa: 0.8976, kb_relative_information_score: 1343.0916, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9554, predictive_accuracy: 0.952, prior_entropy: 1.2099, recall: 0.952, relative_absolute_error: 0.2992, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.4544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9516, kappa: 0.8941, kb_relative_information_score: 1537.0545, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.953, predictive_accuracy: 0.9508, prior_entropy: 1.2099, recall: 0.9508, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1287, root_relative_squared_error: 0.3807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9064, kappa: 0.8242, kb_relative_information_score: 1020.7722, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9208, predictive_accuracy: 0.9219, prior_entropy: 1.2099, recall: 0.9219, relative_absolute_error: 0.5257, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.6087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9372, kappa: 0.863, kb_relative_information_score: 1480.9577, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9378, predictive_accuracy: 0.9369, prior_entropy: 1.2099, recall: 0.9369, relative_absolute_error: 0.1684, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.4353,

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