OpenML
Supervised Classification on car

Supervised Classification on car

Task 21 Supervised Classification car 12568 runs submitted
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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: 0.9919, f_measure: 0.9467, kappa: 0.8835, kb_relative_information_score: 1549.3896, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9467, predictive_accuracy: 0.9468, prior_entropy: 1.2099, recall: 0.9468, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.3761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.952, kappa: 0.8953, kb_relative_information_score: 1537.4882, 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: 0.1287, root_relative_squared_error: 0.3805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.955, kappa: 0.9026, kb_relative_information_score: 1295.6528, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.956, predictive_accuracy: 0.9549, prior_entropy: 1.2099, recall: 0.9549, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.4747, scimark_benchmark: 1827.8619, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8449, kappa: 0.6648, kb_relative_information_score: 1002.0086, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8496, predictive_accuracy: 0.8536, prior_entropy: 1.2099, recall: 0.8536, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.6708, scimark_benchmark: 1801.6722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9603, kappa: 0.914, kb_relative_information_score: 1426.8898, mean_absolute_error: 0.0532, 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: 0.2324, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.4137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.8292, kappa: 0.6199, kb_relative_information_score: -907.4417, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.838, predictive_accuracy: 0.8461, prior_entropy: 1.2099, recall: 0.8461, relative_absolute_error: 1.5968, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4223, root_relative_squared_error: 1.2489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9071, kappa: 0.8025, kb_relative_information_score: 1348.9129, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9244, predictive_accuracy: 0.9016, prior_entropy: 1.2099, recall: 0.9016, relative_absolute_error: 0.252, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.5831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.8734, kappa: 0.7404, kb_relative_information_score: 900.2977, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9054, predictive_accuracy: 0.8657, prior_entropy: 1.2099, recall: 0.8657, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.6927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9555, kappa: 0.9027, kb_relative_information_score: 1545.5299, mean_absolute_error: 0.0281, 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: 0.1229, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.3729,
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: 0.9917, f_measure: 0.9606, kappa: 0.9142, kb_relative_information_score: 1598.0107, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9607, predictive_accuracy: 0.9606, prior_entropy: 1.2099, recall: 0.9606, relative_absolute_error: 0.0814, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.3349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9745, kappa: 0.945, kb_relative_information_score: 1605.9416, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9753, predictive_accuracy: 0.9745, prior_entropy: 1.2099, recall: 0.9745, relative_absolute_error: 0.0587, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1058, root_relative_squared_error: 0.3128,
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: 0.9888, f_measure: 0.9383, kappa: 0.8655, kb_relative_information_score: 1486.7547, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9387, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 0.1655, 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: 0.9941, kappa: 0.719, kb_relative_information_score: 897.9526, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8819, prior_entropy: 1.2099, recall: 0.8819, relative_absolute_error: 0.6039, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9349, kappa: 0.8652, kb_relative_information_score: 1261.2582, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9427, predictive_accuracy: 0.9369, prior_entropy: 1.2099, recall: 0.9369, relative_absolute_error: 0.3516, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.5131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9045, kappa: 0.8226, kb_relative_information_score: 1185.7205, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9132, predictive_accuracy: 0.9178, prior_entropy: 1.2099, recall: 0.9178, relative_absolute_error: 0.3948, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.5597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.95, kappa: 0.8919, kb_relative_information_score: 1534.6665, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9555, predictive_accuracy: 0.9485, prior_entropy: 1.2099, recall: 0.9485, relative_absolute_error: 0.1218, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.3892,
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: 0.985, 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: 0.9859, 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: 0.9894, 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: 0.9944, f_measure: 0.9598, kappa: 0.9126, kb_relative_information_score: 1540.3678, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9598, predictive_accuracy: 0.9601, prior_entropy: 1.2099, recall: 0.9601, relative_absolute_error: 0.0893, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9756, kappa: 0.9469, kb_relative_information_score: 1603.1452, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9759, predictive_accuracy: 0.9757, prior_entropy: 1.2099, recall: 0.9757, relative_absolute_error: 0.0547, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.3138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9844, kappa: 0.9659, kb_relative_information_score: -848.8655, mean_absolute_error: 0.3595, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9845, predictive_accuracy: 0.9844, prior_entropy: 1.2099, recall: 0.9844, relative_absolute_error: 1.5698, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4152, root_relative_squared_error: 1.2279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9374, kappa: 0.8631, kb_relative_information_score: 1479.1048, mean_absolute_error: 0.0392, 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: 0.1712, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.147, root_relative_squared_error: 0.4348,
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: 0.9906, f_measure: 0.9508, kappa: 0.8925, kb_relative_information_score: 1538.1309, mean_absolute_error: 0.029, 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: 0.1266, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.3921,
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: 0.9893, 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: 0.9915, 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: 0.9881, f_measure: 0.9241, kappa: 0.834, kb_relative_information_score: 1423.2866, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9257, predictive_accuracy: 0.923, prior_entropy: 1.2099, recall: 0.923, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9497, kappa: 0.8903, kb_relative_information_score: 1559.641, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9499, predictive_accuracy: 0.9497, prior_entropy: 1.2099, recall: 0.9497, relative_absolute_error: 0.1086, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.3719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9497, kappa: 0.8903, kb_relative_information_score: 1561.6129, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9499, predictive_accuracy: 0.9497, prior_entropy: 1.2099, recall: 0.9497, relative_absolute_error: 0.1068, 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: 0.9919, f_measure: 0.9479, kappa: 0.8862, kb_relative_information_score: 1539.4259, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9486, predictive_accuracy: 0.9473, prior_entropy: 1.2099, recall: 0.9473, relative_absolute_error: 0.128, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.3872,
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: 0.9913, f_measure: 0.946, kappa: 0.8822, kb_relative_information_score: 1529.3679, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9466, predictive_accuracy: 0.9456, prior_entropy: 1.2099, recall: 0.9456, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.3974,
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: 0.9905, f_measure: 0.9496, kappa: 0.89, kb_relative_information_score: 1538.7111, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9504, predictive_accuracy: 0.9491, prior_entropy: 1.2099, recall: 0.9491, relative_absolute_error: 0.1261, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1328, root_relative_squared_error: 0.3928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9508, kappa: 0.8925, kb_relative_information_score: 1538.5276, mean_absolute_error: 0.029, 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: 0.1265, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.3921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9536, kappa: 0.8987, kb_relative_information_score: 1543.8477, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9546, predictive_accuracy: 0.9531, prior_entropy: 1.2099, recall: 0.9531, relative_absolute_error: 0.1234, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9376, kappa: 0.8629, kb_relative_information_score: 1483.8793, mean_absolute_error: 0.0384, 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: 0.1676, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.4301,
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: 0.9925, f_measure: 0.9575, kappa: 0.9072, kb_relative_information_score: 1568.545, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.958, predictive_accuracy: 0.9572, prior_entropy: 1.2099, recall: 0.9572, relative_absolute_error: 0.1027, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9408, kappa: 0.8707, kb_relative_information_score: 1498.7211, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9413, predictive_accuracy: 0.9404, prior_entropy: 1.2099, recall: 0.9404, relative_absolute_error: 0.1577, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.4243,
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: 0.9871, 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: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1703.6123, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2099, recall: 1, relative_absolute_error: 0.0183, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0196, root_relative_squared_error: 0.0579,
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: 0.9846, 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: 0.9854, 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: 0.9916, f_measure: 0.9381, kappa: 0.8646, kb_relative_information_score: 1483.3476, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9414, predictive_accuracy: 0.9363, prior_entropy: 1.2099, recall: 0.9363, relative_absolute_error: 0.1684, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.4304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9575, kappa: 0.9072, kb_relative_information_score: 1567.3268, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.958, predictive_accuracy: 0.9572, prior_entropy: 1.2099, recall: 0.9572, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, 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: 0.9907, 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: 0.9997, f_measure: 0.9936, kappa: 0.9861, kb_relative_information_score: 1658.5529, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9936, predictive_accuracy: 0.9936, prior_entropy: 1.2099, recall: 0.9936, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0521, root_relative_squared_error: 0.1541,
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: 0.9704, f_measure: 0.8639, kappa: 0.7184, kb_relative_information_score: 1216.0332, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8647, predictive_accuracy: 0.8692, prior_entropy: 1.2099, recall: 0.8692, relative_absolute_error: 0.3405, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.6075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9606, kappa: 0.9142, kb_relative_information_score: 1597.1622, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9607, predictive_accuracy: 0.9606, prior_entropy: 1.2099, recall: 0.9606, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.3369,
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: 0.9868, f_measure: 0.9134, kappa: 0.8138, kb_relative_information_score: 1399.2234, mean_absolute_error: 0.0526, 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: 0.2299, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.4932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, kappa: 0.033, kb_relative_information_score: 124.4996, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.6823, prior_entropy: 1.2099, recall: 0.6823, relative_absolute_error: 0.9129, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1706.5027, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2099, recall: 1, relative_absolute_error: 0.0155, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0168, root_relative_squared_error: 0.0496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9095, kappa: 0.8038, kb_relative_information_score: 1352.6947, mean_absolute_error: 0.0613, 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: 0.2678, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.5094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9987, kb_relative_information_score: 1695.0285, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 1.2099, recall: 0.9994, relative_absolute_error: 0.0261, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0265, root_relative_squared_error: 0.0783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9896, kappa: 0.9773, kb_relative_information_score: 1618.25, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 1.2099, recall: 0.9896, relative_absolute_error: 0.0894, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6229, kappa: -0.0063, kb_relative_information_score: 31.3961, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.6944, prior_entropy: 1.2099, recall: 0.6944, relative_absolute_error: 0.9584, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.9931,
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: 0.9892, f_measure: 0.9407, kappa: 0.8706, kb_relative_information_score: 1496.0495, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9411, predictive_accuracy: 0.9404, prior_entropy: 1.2099, recall: 0.9404, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.4243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9495, kappa: 0.8899, kb_relative_information_score: 1559.9126, 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: 0.1086, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.3693,
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: 0.9934, f_measure: 0.9548, kappa: 0.9013, kb_relative_information_score: 1546.2654, mean_absolute_error: 0.028, 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: 0.1221, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.3744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9684, kappa: 0.9315, kb_relative_information_score: 1621.8724, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9684, predictive_accuracy: 0.9688, prior_entropy: 1.2099, recall: 0.9688, relative_absolute_error: 0.0622, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.3033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9672, kappa: 0.9285, kb_relative_information_score: 1547.2348, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9677, predictive_accuracy: 0.967, prior_entropy: 1.2099, recall: 0.967, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.3235,
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: 0.9938, f_measure: 0.9554, kappa: 0.9026, kb_relative_information_score: 1562.129, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9564, predictive_accuracy: 0.9549, prior_entropy: 1.2099, recall: 0.9549, relative_absolute_error: 0.1076, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.3618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.8954, kappa: 0.7788, kb_relative_information_score: 1263.9228, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9063, predictive_accuracy: 0.8929, prior_entropy: 1.2099, recall: 0.8929, relative_absolute_error: 0.3286, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.5858,
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: 0.9999, f_measure: 0.9931, kappa: 0.9849, kb_relative_information_score: 1661.696, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9934, predictive_accuracy: 0.9931, prior_entropy: 1.2099, recall: 0.9931, relative_absolute_error: 0.0503, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.056, root_relative_squared_error: 0.1656,
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: 0.9911, f_measure: 0.9387, kappa: 0.8657, kb_relative_information_score: 1480.876, mean_absolute_error: 0.039, 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: 0.1701, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.6984, kappa: 0.377, kb_relative_information_score: 602.5291, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.7752, predictive_accuracy: 0.6968, prior_entropy: 1.2099, recall: 0.6968, relative_absolute_error: 0.6924, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.9992,
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: 0.9497, f_measure: 0.8138, kappa: 0.61, kb_relative_information_score: 1016.1209, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8134, predictive_accuracy: 0.8218, prior_entropy: 1.2099, recall: 0.8218, relative_absolute_error: 0.4618, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2363, root_relative_squared_error: 0.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9597, kappa: 0.9121, kb_relative_information_score: 1584.2601, mean_absolute_error: 0.0214, 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: 0.0935, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.3376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9398, kappa: 0.8688, kb_relative_information_score: 1479.3761, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9423, predictive_accuracy: 0.9387, prior_entropy: 1.2099, recall: 0.9387, relative_absolute_error: 0.1728, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.4355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, 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: 0.9916, f_measure: 0.9376, kappa: 0.8629, kb_relative_information_score: 1483.8793, mean_absolute_error: 0.0384, 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: 0.1676, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.4301,
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: 0.9893, 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: 0.9919, 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: 0.9828, f_measure: 0.9143, kappa: 0.8165, kb_relative_information_score: 1329.8328, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9204, predictive_accuracy: 0.912, prior_entropy: 1.2099, recall: 0.912, relative_absolute_error: 0.2821, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.5436,
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: 0.9712, f_measure: 0.8853, kappa: 0.7552, kb_relative_information_score: 1196.8315, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8972, predictive_accuracy: 0.8808, prior_entropy: 1.2099, recall: 0.8808, relative_absolute_error: 0.374, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.6266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3277, kb_relative_information_score: 8.708, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9936, 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: 0.9792, f_measure: 0.9024, kappa: 0.7896, kb_relative_information_score: 1267.0125, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9121, predictive_accuracy: 0.8981, prior_entropy: 1.2099, recall: 0.8981, relative_absolute_error: 0.3294, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.5815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9044, kappa: 0.7933, kb_relative_information_score: 1330.343, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9069, predictive_accuracy: 0.9034, prior_entropy: 1.2099, recall: 0.9034, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.5273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9024, kappa: 0.7868, kb_relative_information_score: 1306.6871, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9028, predictive_accuracy: 0.9022, prior_entropy: 1.2099, recall: 0.9022, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.5452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9987, kb_relative_information_score: 1702.3171, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 1.2099, recall: 0.9994, relative_absolute_error: 0.0185, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0247, root_relative_squared_error: 0.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9494, kappa: 0.8894, kb_relative_information_score: 1549.2799, mean_absolute_error: 0.0267, 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: 0.1168, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.381,

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

OpenML APIs