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: 0.9961, f_measure: 0.9648, kappa: 0.9236, kb_relative_information_score: 1501.1615, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9668, predictive_accuracy: 0.9641, prior_entropy: 1.2099, recall: 0.9641, relative_absolute_error: 0.1715, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.3664,
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: 0.9943, f_measure: 0.9501, kappa: 0.8937, kb_relative_information_score: 1300.3365, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9542, predictive_accuracy: 0.9502, prior_entropy: 1.2099, recall: 0.9502, relative_absolute_error: 0.3325, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.4808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9608, kappa: 0.9146, kb_relative_information_score: 1588.5213, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9612, predictive_accuracy: 0.9606, prior_entropy: 1.2099, recall: 0.9606, relative_absolute_error: 0.0912, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.3367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.951, kappa: 0.8936, kb_relative_information_score: 1577.3019, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9512, 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: 0.1209, root_relative_squared_error: 0.3575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.964, kappa: 0.9221, kb_relative_information_score: 1479.8319, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9659, predictive_accuracy: 0.9635, prior_entropy: 1.2099, recall: 0.9635, relative_absolute_error: 0.1964, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.12, root_relative_squared_error: 0.3549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9766, kappa: 0.9491, kb_relative_information_score: 1576.5049, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9777, predictive_accuracy: 0.9763, prior_entropy: 1.2099, recall: 0.9763, relative_absolute_error: 0.114, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.2891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, kappa: 0.7791, kb_relative_information_score: 1021.4166, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8999, prior_entropy: 1.2099, recall: 0.8999, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.6289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.8973, kappa: 0.8058, kb_relative_information_score: 1008.4521, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9238, predictive_accuracy: 0.9132, prior_entropy: 1.2099, recall: 0.9132, relative_absolute_error: 0.5309, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.6168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9614, kappa: 0.9162, kb_relative_information_score: 1428.6741, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9637, predictive_accuracy: 0.9606, prior_entropy: 1.2099, recall: 0.9606, relative_absolute_error: 0.2358, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.3971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.92, kappa: 0.8424, kb_relative_information_score: 1253.5387, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.934, predictive_accuracy: 0.9265, prior_entropy: 1.2099, recall: 0.9265, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.5224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9631, kappa: 0.9199, kb_relative_information_score: 1476.4181, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9653, predictive_accuracy: 0.9624, prior_entropy: 1.2099, recall: 0.9624, relative_absolute_error: 0.197, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.3634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9671, kappa: 0.9285, kb_relative_information_score: 1513.1557, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9689, predictive_accuracy: 0.9664, prior_entropy: 1.2099, recall: 0.9664, relative_absolute_error: 0.1653, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.3436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9489, kappa: 0.8908, kb_relative_information_score: 1314.1979, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9521, predictive_accuracy: 0.9491, prior_entropy: 1.2099, recall: 0.9491, relative_absolute_error: 0.3232, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.4675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, kappa: 0.7234, kb_relative_information_score: 888.6151, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8819, prior_entropy: 1.2099, recall: 0.8819, relative_absolute_error: 0.5992, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.6703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9631, kappa: 0.9199, kb_relative_information_score: 1467.9258, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9652, predictive_accuracy: 0.9624, prior_entropy: 1.2099, recall: 0.9624, relative_absolute_error: 0.2044, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.124, root_relative_squared_error: 0.3667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9603, kappa: 0.914, kb_relative_information_score: 1414.9076, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9629, predictive_accuracy: 0.9595, prior_entropy: 1.2099, recall: 0.9595, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.4077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9414, kappa: 0.877, kb_relative_information_score: 1253.9767, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9464, predictive_accuracy: 0.9427, prior_entropy: 1.2099, recall: 0.9427, relative_absolute_error: 0.3652, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.5049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9742, kappa: 0.9439, kb_relative_information_score: 1595.3277, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9751, predictive_accuracy: 0.974, prior_entropy: 1.2099, recall: 0.974, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9343, kappa: 0.8593, kb_relative_information_score: 1394.3118, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9377, predictive_accuracy: 0.934, prior_entropy: 1.2099, recall: 0.934, relative_absolute_error: 0.2455, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.4641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9542, kappa: 0.9008, kb_relative_information_score: 1462.8714, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9572, predictive_accuracy: 0.9531, prior_entropy: 1.2099, recall: 0.9531, relative_absolute_error: 0.1976, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.137, root_relative_squared_error: 0.4051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9387, kappa: 0.8657, kb_relative_information_score: 1481.2173, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.942, predictive_accuracy: 0.9369, prior_entropy: 1.2099, recall: 0.9369, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.4322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.927, kappa: 0.84, kb_relative_information_score: 1461.4054, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9278, predictive_accuracy: 0.9265, prior_entropy: 1.2099, recall: 0.9265, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.4504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9418, kappa: 0.8735, kb_relative_information_score: 1442.6536, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9424, predictive_accuracy: 0.9416, prior_entropy: 1.2099, recall: 0.9416, relative_absolute_error: 0.2096, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.4308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9304, kappa: 0.8566, kb_relative_information_score: 1272.7307, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9401, predictive_accuracy: 0.9329, prior_entropy: 1.2099, recall: 0.9329, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.5105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, kappa: 0.449, kb_relative_information_score: -857.2031, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7882, prior_entropy: 1.2099, recall: 0.7882, relative_absolute_error: 1.5576, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4122, root_relative_squared_error: 1.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.8984, kappa: 0.8118, kb_relative_information_score: 1123.7868, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8893, predictive_accuracy: 0.9138, prior_entropy: 1.2099, recall: 0.9138, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9489, kappa: 0.8926, kb_relative_information_score: 1232.5336, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9534, predictive_accuracy: 0.9502, prior_entropy: 1.2099, recall: 0.9502, relative_absolute_error: 0.3895, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.5026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9488, kappa: 0.8914, kb_relative_information_score: 1337.0131, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9535, predictive_accuracy: 0.9491, prior_entropy: 1.2099, recall: 0.9491, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.4659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9128, kappa: 0.8094, kb_relative_information_score: 1388.2074, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9149, predictive_accuracy: 0.9115, prior_entropy: 1.2099, recall: 0.9115, relative_absolute_error: 0.2409, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.5004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9582, kappa: 0.9093, kb_relative_information_score: 1452.2654, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.961, predictive_accuracy: 0.9572, prior_entropy: 1.2099, recall: 0.9572, relative_absolute_error: 0.2083, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.4073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9591, kappa: 0.9107, kb_relative_information_score: 1590.0063, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9594, predictive_accuracy: 0.9589, prior_entropy: 1.2099, recall: 0.9589, relative_absolute_error: 0.0896, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.3365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9383, kappa: 0.8715, kb_relative_information_score: 1311.862, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.944, predictive_accuracy: 0.9398, prior_entropy: 1.2099, recall: 0.9398, relative_absolute_error: 0.3177, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.4872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9493, kappa: 0.8923, kb_relative_information_score: 1288.3578, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.953, predictive_accuracy: 0.9497, prior_entropy: 1.2099, recall: 0.9497, relative_absolute_error: 0.3424, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.164, root_relative_squared_error: 0.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9592, kappa: 0.9117, kb_relative_information_score: 1443.309, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9619, predictive_accuracy: 0.9583, prior_entropy: 1.2099, recall: 0.9583, relative_absolute_error: 0.2168, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.4048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, kappa: 0.7767, kb_relative_information_score: 983.4495, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.9022, prior_entropy: 1.2099, recall: 0.9022, relative_absolute_error: 0.5395, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.6285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9495, kappa: 0.8899, kb_relative_information_score: 1559.6127, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9495, predictive_accuracy: 0.9497, prior_entropy: 1.2099, recall: 0.9497, relative_absolute_error: 0.1087, 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: 0.9788, f_measure: 0.9079, kappa: 0.8016, kb_relative_information_score: 1272.7433, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9177, predictive_accuracy: 0.9039, prior_entropy: 1.2099, recall: 0.9039, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.5819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.906, kappa: 0.7964, kb_relative_information_score: 1321.7388, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9084, predictive_accuracy: 0.9051, prior_entropy: 1.2099, recall: 0.9051, relative_absolute_error: 0.2893, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.5289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9954, kappa: 0.9899, kb_relative_information_score: 1663.8527, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.2099, recall: 0.9954, relative_absolute_error: 0.0523, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0508, root_relative_squared_error: 0.1502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9337, kappa: 0.8557, kb_relative_information_score: 1457.5968, mean_absolute_error: 0.0429, 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: 0.1876, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.153, root_relative_squared_error: 0.4524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9491, kappa: 0.8889, kb_relative_information_score: 1555.1358, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9492, predictive_accuracy: 0.9491, prior_entropy: 1.2099, recall: 0.9491, relative_absolute_error: 0.113, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.3711,
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: 0.9854, 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: 0.989, 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: 0.9891, f_measure: 0.9294, kappa: 0.8463, kb_relative_information_score: 1456.5372, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9305, predictive_accuracy: 0.9288, prior_entropy: 1.2099, recall: 0.9288, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.4531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8908, kappa: 0.7625, kb_relative_information_score: 1335.7465, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8898, predictive_accuracy: 0.8935, prior_entropy: 1.2099, recall: 0.8935, relative_absolute_error: 0.2743, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.5132,
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: 0.9891, 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: 0.9891, f_measure: 0.9401, kappa: 0.8693, kb_relative_information_score: 1494.2529, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9405, predictive_accuracy: 0.9398, prior_entropy: 1.2099, recall: 0.9398, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.4257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9304, kappa: 0.8484, kb_relative_information_score: 1448.5818, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9322, predictive_accuracy: 0.9294, prior_entropy: 1.2099, recall: 0.9294, relative_absolute_error: 0.195, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.4607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9698, kappa: 0.9345, kb_relative_information_score: 1543.2759, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9713, predictive_accuracy: 0.9693, prior_entropy: 1.2099, recall: 0.9693, relative_absolute_error: 0.1375, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.3381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9104, kappa: 0.8118, kb_relative_information_score: 1344.3606, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9291, predictive_accuracy: 0.9086, prior_entropy: 1.2099, recall: 0.9086, relative_absolute_error: 0.2754, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.5314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9555, kappa: 0.9028, kb_relative_information_score: 1561.0944, mean_absolute_error: 0.0249, 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: 0.1089, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.3664,
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: 0.9936, f_measure: 0.9601, kappa: 0.9131, kb_relative_information_score: 1590.3845, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9603, predictive_accuracy: 0.9601, prior_entropy: 1.2099, recall: 0.9601, relative_absolute_error: 0.0894, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9975, kb_relative_information_score: 1691.8683, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.2099, recall: 0.9988, relative_absolute_error: 0.0288, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0291, root_relative_squared_error: 0.0861,
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: 0.9893, 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: 0.9858, 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: 0.9775, f_measure: 0.8955, kappa: 0.7808, kb_relative_information_score: 1260.4297, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9053, predictive_accuracy: 0.8947, prior_entropy: 1.2099, recall: 0.8947, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.5851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9112, kappa: 0.8083, kb_relative_information_score: 1379.9371, 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: 0.2406, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.5072,
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: 0.9907, f_measure: 0.941, kappa: 0.8714, kb_relative_information_score: 1481.4885, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9436, predictive_accuracy: 0.9398, prior_entropy: 1.2099, recall: 0.9398, relative_absolute_error: 0.1714, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.4329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9376, kappa: 0.8629, kb_relative_information_score: 1482.7646, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9405, predictive_accuracy: 0.9358, prior_entropy: 1.2099, recall: 0.9358, relative_absolute_error: 0.168, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.145, root_relative_squared_error: 0.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9376, kappa: 0.8629, kb_relative_information_score: 1484.2206, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9405, predictive_accuracy: 0.9358, prior_entropy: 1.2099, recall: 0.9358, relative_absolute_error: 0.1672, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.4293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1705.6003, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2099, recall: 1, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0176, root_relative_squared_error: 0.0521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9172, kappa: 0.821, kb_relative_information_score: 1409.9457, 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: 0.2213, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.4844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9304, kappa: 0.8484, kb_relative_information_score: 1448.5818, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9322, predictive_accuracy: 0.9294, prior_entropy: 1.2099, recall: 0.9294, relative_absolute_error: 0.195, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.4607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9559, kappa: 0.9039, kb_relative_information_score: 1565.0151, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9567, predictive_accuracy: 0.9554, prior_entropy: 1.2099, recall: 0.9554, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.3524,
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: 0.9932, f_measure: 0.9483, kappa: 0.8867, kb_relative_information_score: 1439.039, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9487, predictive_accuracy: 0.9479, prior_entropy: 1.2099, recall: 0.9479, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.431,
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: 0.9874, 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: 0.9893, 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: 0.9891, 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: 0.9865, f_measure: 0.9281, kappa: 0.8441, kb_relative_information_score: 1378.8011, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9327, predictive_accuracy: 0.9259, prior_entropy: 1.2099, recall: 0.9259, relative_absolute_error: 0.2489, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.4928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.942, kappa: 0.8734, kb_relative_information_score: 1501.1838, mean_absolute_error: 0.0358, 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: 0.1563, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.4197,
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: 0.9906, f_measure: 0.9125, kappa: 0.808, kb_relative_information_score: 1372.9247, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9144, predictive_accuracy: 0.9149, prior_entropy: 1.2099, recall: 0.9149, relative_absolute_error: 0.25, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.4962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6529, kappa: -0.0052, kb_relative_information_score: 52.2468, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.6956, prior_entropy: 1.2099, recall: 0.6956, relative_absolute_error: 0.9529, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.9841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.942, kappa: 0.8734, kb_relative_information_score: 1502.3723, mean_absolute_error: 0.0355, 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: 0.1552, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.4192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9376, kappa: 0.8629, kb_relative_information_score: 1484.2206, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9405, predictive_accuracy: 0.9358, prior_entropy: 1.2099, recall: 0.9358, relative_absolute_error: 0.1672, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.4293,
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: 0.9995, f_measure: 0.9902, kappa: 0.9785, kb_relative_information_score: 1638.0226, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9902, predictive_accuracy: 0.9902, prior_entropy: 1.2099, recall: 0.9902, relative_absolute_error: 0.0721, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0658, root_relative_squared_error: 0.1947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.7905, kappa: 0.54, kb_relative_information_score: 828.9563, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.7866, predictive_accuracy: 0.7992, prior_entropy: 1.2099, recall: 0.7992, relative_absolute_error: 0.5827, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.7831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.941, kappa: 0.8714, kb_relative_information_score: 1481.1473, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9436, predictive_accuracy: 0.9398, prior_entropy: 1.2099, recall: 0.9398, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.4337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9401, kappa: 0.8693, kb_relative_information_score: 1493.8181, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9405, predictive_accuracy: 0.9398, prior_entropy: 1.2099, recall: 0.9398, relative_absolute_error: 0.1614, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.144, root_relative_squared_error: 0.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9408, kappa: 0.8711, kb_relative_information_score: 1497.0972, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9416, predictive_accuracy: 0.9404, prior_entropy: 1.2099, recall: 0.9404, relative_absolute_error: 0.1559, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.4274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9634, kappa: 0.9209, kb_relative_information_score: 1477.1879, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9654, predictive_accuracy: 0.963, prior_entropy: 1.2099, recall: 0.963, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.3825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1705.7323, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2099, recall: 1, relative_absolute_error: 0.0161, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0186, root_relative_squared_error: 0.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9389, kappa: 0.8664, kb_relative_information_score: 1395.7161, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9394, predictive_accuracy: 0.9387, prior_entropy: 1.2099, recall: 0.9387, relative_absolute_error: 0.2403, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.4635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.8624, kappa: 0.7021, kb_relative_information_score: 1132.4149, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8621, predictive_accuracy: 0.8646, prior_entropy: 1.2099, recall: 0.8646, relative_absolute_error: 0.4046, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.6428,
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: 0.9889, f_measure: 0.9344, kappa: 0.8567, kb_relative_information_score: 1479.5076, mean_absolute_error: 0.0388, 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: 0.1695, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.4371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9294, kappa: 0.8463, kb_relative_information_score: 1456.5372, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9305, predictive_accuracy: 0.9288, prior_entropy: 1.2099, recall: 0.9288, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.4531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9421, kappa: 0.8737, kb_relative_information_score: 1500.5534, 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: 0.1433, root_relative_squared_error: 0.4239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9555, kappa: 0.9028, kb_relative_information_score: 1562.6463, mean_absolute_error: 0.0247, 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: 0.1078, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.3643,
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: 0.9881, 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,

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

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Download this task directly in your environment and automatically upload your results

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

OpenML APIs