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
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  • 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: 0.9974, f_measure: 0.9717, kappa: 0.9381, kb_relative_information_score: -776.8451, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9717, predictive_accuracy: 0.9716, prior_entropy: 1.2099, recall: 0.9716, relative_absolute_error: 1.5312, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.405, root_relative_squared_error: 1.1978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9013, kappa: 0.7947, kb_relative_information_score: -881.2818, mean_absolute_error: 0.3621, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9123, predictive_accuracy: 0.9109, prior_entropy: 1.2099, recall: 0.9109, relative_absolute_error: 1.5814, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4183, root_relative_squared_error: 1.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6326, kappa: -0.0017, kb_relative_information_score: 38.5118, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.6944, prior_entropy: 1.2099, recall: 0.6944, relative_absolute_error: 0.9527, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9025, kappa: 0.7897, kb_relative_information_score: 1280.8095, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9115, predictive_accuracy: 0.8981, prior_entropy: 1.2099, recall: 0.8981, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9337, kappa: 0.8557, kb_relative_information_score: 1457.1984, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9353, predictive_accuracy: 0.9329, prior_entropy: 1.2099, recall: 0.9329, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.4533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9134, kappa: 0.8138, kb_relative_information_score: 1400.2254, 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: 0.2295, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.4924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.8945, kappa: 0.7677, kb_relative_information_score: 1336.7428, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8939, predictive_accuracy: 0.8981, prior_entropy: 1.2099, recall: 0.8981, relative_absolute_error: 0.273, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.5107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9439, kappa: 0.8805, kb_relative_information_score: 1333.9632, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9484, predictive_accuracy: 0.9439, prior_entropy: 1.2099, recall: 0.9439, relative_absolute_error: 0.2998, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.4747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9548, kappa: 0.9013, kb_relative_information_score: 1546.4193, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9558, predictive_accuracy: 0.9543, prior_entropy: 1.2099, recall: 0.9543, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.3751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9437, kappa: 0.8799, kb_relative_information_score: 1357.171, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9478, predictive_accuracy: 0.9433, prior_entropy: 1.2099, recall: 0.9433, relative_absolute_error: 0.2799, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.4689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9417, kappa: 0.8727, kb_relative_information_score: 1534.3468, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9419, predictive_accuracy: 0.9416, prior_entropy: 1.2099, recall: 0.9416, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1321, root_relative_squared_error: 0.3908,
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: 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: 0.9949, f_measure: 0.9569, kappa: 0.9066, kb_relative_information_score: 1391.9055, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9595, predictive_accuracy: 0.956, prior_entropy: 1.2099, recall: 0.956, relative_absolute_error: 0.2605, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9476, kappa: 0.8882, kb_relative_information_score: 1335.968, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9519, predictive_accuracy: 0.9473, prior_entropy: 1.2099, recall: 0.9473, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.4707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9101, kappa: 0.8039, kb_relative_information_score: 1366.2259, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9124, predictive_accuracy: 0.9086, prior_entropy: 1.2099, recall: 0.9086, relative_absolute_error: 0.2571, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9475, kappa: 0.8898, kb_relative_information_score: 1312.8415, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9519, predictive_accuracy: 0.9485, prior_entropy: 1.2099, recall: 0.9485, relative_absolute_error: 0.3209, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9508, kappa: 0.8925, kb_relative_information_score: 1537.8606, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9515, predictive_accuracy: 0.9502, prior_entropy: 1.2099, recall: 0.9502, relative_absolute_error: 0.1272, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1324, root_relative_squared_error: 0.3917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9621, kappa: 0.9177, kb_relative_information_score: 1471.9233, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9646, predictive_accuracy: 0.9612, prior_entropy: 1.2099, recall: 0.9612, relative_absolute_error: 0.1964, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1291, root_relative_squared_error: 0.3819,
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: 0.9893, f_measure: 0.9337, kappa: 0.8557, kb_relative_information_score: 1457.1984, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9353, predictive_accuracy: 0.9329, prior_entropy: 1.2099, recall: 0.9329, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.4533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9516, kappa: 0.8941, kb_relative_information_score: 1467.6805, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9517, predictive_accuracy: 0.9514, prior_entropy: 1.2099, recall: 0.9514, relative_absolute_error: 0.1908, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.4072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.8857, kappa: 0.758, kb_relative_information_score: 1186.6645, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.901, predictive_accuracy: 0.8808, prior_entropy: 1.2099, recall: 0.8808, relative_absolute_error: 0.3802, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.219, root_relative_squared_error: 0.6479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9265, kappa: 0.8427, kb_relative_information_score: 1381.9488, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9354, predictive_accuracy: 0.9236, prior_entropy: 1.2099, recall: 0.9236, relative_absolute_error: 0.2484, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.5136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.949, kappa: 0.8887, kb_relative_information_score: 1538.8118, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9498, predictive_accuracy: 0.9485, prior_entropy: 1.2099, recall: 0.9485, relative_absolute_error: 0.1287, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1312, root_relative_squared_error: 0.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.914, kappa: 0.8143, kb_relative_information_score: 1403.1487, mean_absolute_error: 0.052, 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: 0.2272, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.4896,
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: 0.9885, f_measure: 0.9383, kappa: 0.8656, kb_relative_information_score: 1484.5608, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9388, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 0.1662, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.4351,
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: 0.9938, f_measure: 0.9604, kappa: 0.9134, kb_relative_information_score: 1584.4419, mean_absolute_error: 0.021, 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: 0.0918, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.3419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9235, kappa: 0.8499, kb_relative_information_score: 1227.094, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9361, predictive_accuracy: 0.9306, prior_entropy: 1.2099, recall: 0.9306, relative_absolute_error: 0.3771, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.5292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9615, kappa: 0.9165, kb_relative_information_score: 1476.5066, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9641, predictive_accuracy: 0.9606, prior_entropy: 1.2099, recall: 0.9606, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.3777,
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: 0.9891, f_measure: 0.9247, kappa: 0.8358, kb_relative_information_score: 1454.3575, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9255, predictive_accuracy: 0.9242, prior_entropy: 1.2099, recall: 0.9242, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.154, root_relative_squared_error: 0.4555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9494, kappa: 0.8894, kb_relative_information_score: 1547.4767, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9498, predictive_accuracy: 0.9491, prior_entropy: 1.2099, recall: 0.9491, relative_absolute_error: 0.1183, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1298, root_relative_squared_error: 0.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9389, kappa: 0.8666, kb_relative_information_score: 1491.8165, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9392, predictive_accuracy: 0.9387, prior_entropy: 1.2099, recall: 0.9387, relative_absolute_error: 0.1619, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.4287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9241, kappa: 0.834, kb_relative_information_score: 1424.9732, 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: 0.2129, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.16, root_relative_squared_error: 0.4734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9247, kappa: 0.8358, kb_relative_information_score: 1454.3575, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9255, predictive_accuracy: 0.9242, prior_entropy: 1.2099, recall: 0.9242, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.154, root_relative_squared_error: 0.4555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.914, kappa: 0.8143, kb_relative_information_score: 1403.1487, mean_absolute_error: 0.052, 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: 0.2272, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.4896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6324, kappa: -0.0003, kb_relative_information_score: 48.5368, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.6979, prior_entropy: 1.2099, recall: 0.6979, relative_absolute_error: 0.9528, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.9873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9274, kappa: 0.8424, kb_relative_information_score: 1436.1693, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9294, predictive_accuracy: 0.9265, prior_entropy: 1.2099, recall: 0.9265, relative_absolute_error: 0.2052, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.4665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9369, kappa: 0.862, kb_relative_information_score: 1481.1821, mean_absolute_error: 0.0389, 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: 0.1699, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.4331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9447, kappa: 0.8842, kb_relative_information_score: 1271.7569, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.95, predictive_accuracy: 0.9462, prior_entropy: 1.2099, recall: 0.9462, relative_absolute_error: 0.3506, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.4956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9597, kappa: 0.9121, kb_relative_information_score: 1583.4241, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9601, predictive_accuracy: 0.9595, prior_entropy: 1.2099, recall: 0.9595, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.3396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9112, kappa: 0.8083, kb_relative_information_score: 1381.1511, mean_absolute_error: 0.0549, 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: 0.2399, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.5059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9512, kappa: 0.8952, kb_relative_information_score: 1359.7068, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9542, predictive_accuracy: 0.9508, prior_entropy: 1.2099, recall: 0.9508, relative_absolute_error: 0.2847, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, kappa: 0.6225, kb_relative_information_score: 818.2048, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8472, prior_entropy: 1.2099, recall: 0.8472, relative_absolute_error: 0.6459, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.6999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9545, kappa: 0.9018, kb_relative_information_score: 1399.3354, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9575, predictive_accuracy: 0.9537, prior_entropy: 1.2099, recall: 0.9537, relative_absolute_error: 0.2517, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.4332,
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: 0.9893, f_measure: 0.9337, kappa: 0.8557, kb_relative_information_score: 1457.6819, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9353, predictive_accuracy: 0.9329, prior_entropy: 1.2099, recall: 0.9329, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.4529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.952, kappa: 0.8953, kb_relative_information_score: 1537.4547, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9531, predictive_accuracy: 0.9514, prior_entropy: 1.2099, recall: 0.9514, relative_absolute_error: 0.1285, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.3812,
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: 0.9877, kappa: 0.7749, kb_relative_information_score: 1005.6887, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8987, prior_entropy: 1.2099, recall: 0.8987, relative_absolute_error: 0.5066, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.6303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.8899, kappa: 0.7615, kb_relative_information_score: 1281.613, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8918, predictive_accuracy: 0.8895, prior_entropy: 1.2099, recall: 0.8895, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.5573,
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: 0.9891, f_measure: 0.9316, kappa: 0.8511, kb_relative_information_score: 1450.353, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9336, predictive_accuracy: 0.9306, prior_entropy: 1.2099, recall: 0.9306, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.4589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9496, kappa: 0.89, kb_relative_information_score: 1569.6474, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9496, predictive_accuracy: 0.9497, prior_entropy: 1.2099, recall: 0.9497, relative_absolute_error: 0.0991, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.3636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9403, kappa: 0.8684, kb_relative_information_score: 1494.2741, mean_absolute_error: 0.0365, 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: 0.1595, 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: 0.9914, f_measure: 0.9417, kappa: 0.8727, kb_relative_information_score: 1533.912, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9419, predictive_accuracy: 0.9416, prior_entropy: 1.2099, recall: 0.9416, relative_absolute_error: 0.128, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9496, kappa: 0.89, kb_relative_information_score: 1568.4779, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9496, predictive_accuracy: 0.9497, prior_entropy: 1.2099, recall: 0.9497, relative_absolute_error: 0.1001, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.3644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5973, kb_relative_information_score: 4.2781, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9808, kappa: 0.9582, kb_relative_information_score: 1627.5054, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9808, predictive_accuracy: 0.9809, prior_entropy: 1.2099, recall: 0.9809, relative_absolute_error: 0.0441, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.2754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.8689, kappa: 0.7321, kb_relative_information_score: 1143.4848, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8922, predictive_accuracy: 0.8663, prior_entropy: 1.2099, recall: 0.8663, relative_absolute_error: 0.4095, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.6812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9867, kappa: 0.9709, kb_relative_information_score: -819.3399, mean_absolute_error: 0.3559, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9867, predictive_accuracy: 0.9867, prior_entropy: 1.2099, recall: 0.9867, relative_absolute_error: 1.5542, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4111, root_relative_squared_error: 1.2157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, kappa: 0.6224, kb_relative_information_score: -837.5818, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8247, prior_entropy: 1.2099, recall: 0.8247, relative_absolute_error: 1.547, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4094, root_relative_squared_error: 1.2109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9555, kappa: 0.9028, kb_relative_information_score: 1544.2739, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9568, predictive_accuracy: 0.9549, prior_entropy: 1.2099, recall: 0.9549, relative_absolute_error: 0.125, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.3731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9803, kappa: 0.957, kb_relative_information_score: -839.6193, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9803, predictive_accuracy: 0.9803, prior_entropy: 1.2099, recall: 0.9803, relative_absolute_error: 1.5628, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4133, root_relative_squared_error: 1.2225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9581, kappa: 0.9085, kb_relative_information_score: 1576.1425, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9586, predictive_accuracy: 0.9578, prior_entropy: 1.2099, recall: 0.9578, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.3508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9604, kappa: 0.9134, kb_relative_information_score: 1583.3776, 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: 0.0928, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.117, root_relative_squared_error: 0.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9273, kappa: 0.842, kb_relative_information_score: 1359.9534, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9266, predictive_accuracy: 0.9288, prior_entropy: 1.2099, recall: 0.9288, relative_absolute_error: 0.2589, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.4971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.981, kb_relative_information_score: 1647.1256, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 1.2099, recall: 0.9913, relative_absolute_error: 0.0642, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0594, root_relative_squared_error: 0.1756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9074, kappa: 0.7991, kb_relative_information_score: 1337.5104, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.909, predictive_accuracy: 0.9068, prior_entropy: 1.2099, recall: 0.9068, relative_absolute_error: 0.2763, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.5219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6668, kappa: -0.0389, kb_relative_information_score: 45.0593, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.6759, prior_entropy: 1.2099, recall: 0.6759, relative_absolute_error: 0.9456, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9487, kappa: 0.8883, kb_relative_information_score: 1561.8796, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9486, predictive_accuracy: 0.9491, prior_entropy: 1.2099, recall: 0.9491, relative_absolute_error: 0.1047, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.3703,
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: 0.9313, f_measure: 0.8385, kappa: 0.6531, kb_relative_information_score: 753.3733, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8422, predictive_accuracy: 0.8362, prior_entropy: 1.2099, recall: 0.8362, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.7595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9335, kappa: 0.855, kb_relative_information_score: 1412.2335, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9333, predictive_accuracy: 0.934, prior_entropy: 1.2099, recall: 0.934, relative_absolute_error: 0.227, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.4553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9745, kappa: 0.9443, kb_relative_information_score: 1608.6356, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9745, predictive_accuracy: 0.9745, prior_entropy: 1.2099, recall: 0.9745, relative_absolute_error: 0.0553, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.3192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9152, kappa: 0.8333, kb_relative_information_score: -875.4179, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9333, predictive_accuracy: 0.9248, prior_entropy: 1.2099, recall: 0.9248, relative_absolute_error: 1.5771, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4171, root_relative_squared_error: 1.2337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9861, kappa: 0.9696, kb_relative_information_score: -819.917, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 1.2099, recall: 0.9861, relative_absolute_error: 1.5546, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4112, root_relative_squared_error: 1.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9872, kappa: 0.9722, kb_relative_information_score: 1667.4437, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9873, predictive_accuracy: 0.9873, prior_entropy: 1.2099, recall: 0.9873, relative_absolute_error: 0.028, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.072, root_relative_squared_error: 0.2128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9699, kappa: 0.9338, kb_relative_information_score: 1565.0742, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9712, predictive_accuracy: 0.9693, prior_entropy: 1.2099, recall: 0.9693, relative_absolute_error: 0.1166, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.3258,
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: 0.9916, f_measure: 0.949, kappa: 0.8887, kb_relative_information_score: 1537.7813, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9498, predictive_accuracy: 0.9485, prior_entropy: 1.2099, recall: 0.9485, relative_absolute_error: 0.1291, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.3896,
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: 0.9958, f_measure: 0.9516, kappa: 0.8963, kb_relative_information_score: 1357.3883, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9547, predictive_accuracy: 0.9514, prior_entropy: 1.2099, recall: 0.9514, relative_absolute_error: 0.2879, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.4477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9592, kappa: 0.9116, kb_relative_information_score: 1446.0766, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9618, predictive_accuracy: 0.9583, prior_entropy: 1.2099, recall: 0.9583, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9344, kappa: 0.8567, kb_relative_information_score: 1477.885, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9349, predictive_accuracy: 0.934, prior_entropy: 1.2099, recall: 0.934, relative_absolute_error: 0.171, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9421, kappa: 0.8737, kb_relative_information_score: 1501.9731, mean_absolute_error: 0.0353, 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: 0.154, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.4227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9551, kappa: 0.9027, kb_relative_information_score: 1340.2393, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9575, predictive_accuracy: 0.9543, prior_entropy: 1.2099, recall: 0.9543, relative_absolute_error: 0.3023, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.4602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.957, kappa: 0.9068, kb_relative_information_score: 1453.4988, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9598, predictive_accuracy: 0.956, prior_entropy: 1.2099, recall: 0.956, relative_absolute_error: 0.2071, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.4029,
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: 0.9853, 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: 0.9893, f_measure: 0.9337, kappa: 0.8557, kb_relative_information_score: 1457.1984, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9353, predictive_accuracy: 0.9329, prior_entropy: 1.2099, recall: 0.9329, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.4533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9487, kappa: 0.8883, kb_relative_information_score: 1561.8796, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9486, predictive_accuracy: 0.9491, prior_entropy: 1.2099, recall: 0.9491, relative_absolute_error: 0.1047, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.3703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.942, kappa: 0.8841, kb_relative_information_score: 1097.3511, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9498, predictive_accuracy: 0.9479, prior_entropy: 1.2099, recall: 0.9479, relative_absolute_error: 0.4851, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9884, kappa: 0.9747, kb_relative_information_score: 1624.8895, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9885, predictive_accuracy: 0.9884, prior_entropy: 1.2099, recall: 0.9884, relative_absolute_error: 0.0835, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0703, root_relative_squared_error: 0.2079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9241, kappa: 0.834, kb_relative_information_score: 1424.9732, 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: 0.2129, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.16, root_relative_squared_error: 0.4734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9557, kappa: 0.9043, kb_relative_information_score: 1450.6548, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9587, predictive_accuracy: 0.9549, prior_entropy: 1.2099, recall: 0.9549, relative_absolute_error: 0.2095, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9479, kappa: 0.8883, kb_relative_information_score: 1343.4278, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9522, predictive_accuracy: 0.9473, prior_entropy: 1.2099, recall: 0.9473, relative_absolute_error: 0.2941, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.4682,

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