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: 0.9899, f_measure: 0.922, kappa: 0.8333, kb_relative_information_score: 1340.6007, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9331, predictive_accuracy: 0.9184, prior_entropy: 1.2099, recall: 0.9184, relative_absolute_error: 0.285, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.5048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, kappa: 0.7005, kb_relative_information_score: -895.2644, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8669, prior_entropy: 1.2099, recall: 0.8669, relative_absolute_error: 1.5879, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.42, root_relative_squared_error: 1.2421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9692, kappa: 0.9331, kb_relative_information_score: 1518.632, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9705, predictive_accuracy: 0.9688, prior_entropy: 1.2099, recall: 0.9688, relative_absolute_error: 0.154, 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: 0.9999, f_measure: 0.9937, kappa: 0.9862, kb_relative_information_score: 1676.172, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9939, predictive_accuracy: 0.9936, prior_entropy: 1.2099, recall: 0.9936, relative_absolute_error: 0.0377, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.1511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9878, kappa: 0.9735, kb_relative_information_score: -827.3264, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9879, predictive_accuracy: 0.9878, prior_entropy: 1.2099, recall: 0.9878, relative_absolute_error: 1.5593, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4124, root_relative_squared_error: 1.2197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.7889, kappa: 0.5553, kb_relative_information_score: 470.8475, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8075, predictive_accuracy: 0.7795, prior_entropy: 1.2099, recall: 0.7795, relative_absolute_error: 0.8623, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.8474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.8959, kappa: 0.7806, kb_relative_information_score: 1260.155, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9056, predictive_accuracy: 0.8947, prior_entropy: 1.2099, recall: 0.8947, relative_absolute_error: 0.3316, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.198, root_relative_squared_error: 0.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, kappa: 0.1902, kb_relative_information_score: -932.6289, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7286, prior_entropy: 1.2099, recall: 0.7286, relative_absolute_error: 1.6124, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9666, kappa: 0.9279, kb_relative_information_score: 1567.518, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9667, predictive_accuracy: 0.967, prior_entropy: 1.2099, recall: 0.967, relative_absolute_error: 0.0742, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.3676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9664, kappa: 0.9279, kb_relative_information_score: -825.4016, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9678, predictive_accuracy: 0.967, prior_entropy: 1.2099, recall: 0.967, relative_absolute_error: 1.5506, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4101, root_relative_squared_error: 1.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8843, kappa: 0.7467, kb_relative_information_score: -917.4217, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8893, predictive_accuracy: 0.8895, prior_entropy: 1.2099, recall: 0.8895, relative_absolute_error: 1.6049, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.2552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9814, kappa: 0.9595, kb_relative_information_score: 1632.3115, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9816, predictive_accuracy: 0.9815, prior_entropy: 1.2099, recall: 0.9815, relative_absolute_error: 0.0407, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.091, root_relative_squared_error: 0.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9734, kappa: 0.9418, kb_relative_information_score: 1604.0216, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9735, predictive_accuracy: 0.9734, prior_entropy: 1.2099, recall: 0.9734, relative_absolute_error: 0.0587, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.3233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9805, kappa: 0.9573, kb_relative_information_score: 1586.5256, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9808, predictive_accuracy: 0.9803, prior_entropy: 1.2099, recall: 0.9803, relative_absolute_error: 0.1086, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.2726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9462, kappa: 0.884, kb_relative_information_score: 1454.4295, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9533, predictive_accuracy: 0.9444, prior_entropy: 1.2099, recall: 0.9444, relative_absolute_error: 0.1981, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.4373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, kappa: 0.3983, kb_relative_information_score: -936.323, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7772, prior_entropy: 1.2099, recall: 0.7772, relative_absolute_error: 1.6155, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4272, root_relative_squared_error: 1.2634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9647, kappa: 0.9234, kb_relative_information_score: 1562.9081, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9672, predictive_accuracy: 0.9641, prior_entropy: 1.2099, recall: 0.9641, relative_absolute_error: 0.1058, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.12, root_relative_squared_error: 0.3548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9346, kappa: 0.8578, kb_relative_information_score: 1357.8117, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9344, predictive_accuracy: 0.9352, prior_entropy: 1.2099, recall: 0.9352, relative_absolute_error: 0.2611, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.4923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9641, kappa: 0.9216, kb_relative_information_score: 1561.7467, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9643, predictive_accuracy: 0.9641, prior_entropy: 1.2099, recall: 0.9641, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9774, kappa: 0.9505, kb_relative_information_score: 1615.1181, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9773, predictive_accuracy: 0.9774, prior_entropy: 1.2099, recall: 0.9774, relative_absolute_error: 0.0518, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.104, root_relative_squared_error: 0.3074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9698, kappa: 0.9341, kb_relative_information_score: 1578.9504, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 1.2099, recall: 0.9699, relative_absolute_error: 0.0652, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.3506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.8599, kappa: 0.7299, kb_relative_information_score: -903.4142, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8844, predictive_accuracy: 0.8791, prior_entropy: 1.2099, recall: 0.8791, relative_absolute_error: 1.594, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4216, root_relative_squared_error: 1.2468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9167, kappa: 0.822, kb_relative_information_score: 1359.7433, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9269, predictive_accuracy: 0.9132, prior_entropy: 1.2099, recall: 0.9132, relative_absolute_error: 0.268, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.5013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9613, kappa: 0.9163, kb_relative_information_score: 1546.0051, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9611, predictive_accuracy: 0.9618, prior_entropy: 1.2099, recall: 0.9618, relative_absolute_error: 0.0819, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.3854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9761, kappa: 0.9483, kb_relative_information_score: -797.5787, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9767, predictive_accuracy: 0.9763, prior_entropy: 1.2099, recall: 0.9763, relative_absolute_error: 1.5379, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4068, root_relative_squared_error: 1.2031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.8928, kappa: 0.7702, kb_relative_information_score: 1245.7073, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9019, predictive_accuracy: 0.8889, prior_entropy: 1.2099, recall: 0.8889, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.5913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9733, kappa: 0.9417, kb_relative_information_score: 1598.7938, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9734, predictive_accuracy: 0.9734, prior_entropy: 1.2099, recall: 0.9734, relative_absolute_error: 0.0596, 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: 0.9995, f_measure: 0.9788, kappa: 0.9538, kb_relative_information_score: 1629.8425, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.98, predictive_accuracy: 0.9786, prior_entropy: 1.2099, recall: 0.9786, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.2681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9096, kappa: 0.8081, kb_relative_information_score: 1285.2451, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9261, predictive_accuracy: 0.9045, prior_entropy: 1.2099, recall: 0.9045, relative_absolute_error: 0.3185, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.5812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9023, kappa: 0.7902, kb_relative_information_score: 1277.6572, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9119, predictive_accuracy: 0.8981, prior_entropy: 1.2099, recall: 0.8981, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9699, kappa: 0.9342, kb_relative_information_score: 1590.9048, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9699, predictive_accuracy: 0.9699, prior_entropy: 1.2099, recall: 0.9699, relative_absolute_error: 0.0697, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1135, root_relative_squared_error: 0.3358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.8229, kappa: 0.6154, kb_relative_information_score: 692.4865, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8281, predictive_accuracy: 0.8194, prior_entropy: 1.2099, recall: 0.8194, relative_absolute_error: 0.721, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.7843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9543, kappa: 0.9029, kb_relative_information_score: -864.9297, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9559, predictive_accuracy: 0.9566, prior_entropy: 1.2099, recall: 0.9566, relative_absolute_error: 1.5752, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4166, root_relative_squared_error: 1.2322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9987, kb_relative_information_score: 1698.2572, mean_absolute_error: 0.0053, 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: 0.0234, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0236, root_relative_squared_error: 0.0698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.8221, kappa: 0.6087, kb_relative_information_score: -904.3102, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8359, predictive_accuracy: 0.8426, prior_entropy: 1.2099, recall: 0.8426, relative_absolute_error: 1.5943, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4216, root_relative_squared_error: 1.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9626, kappa: 0.9189, kb_relative_information_score: 1557.9278, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9625, predictive_accuracy: 0.963, prior_entropy: 1.2099, recall: 0.963, relative_absolute_error: 0.0816, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1298, root_relative_squared_error: 0.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, kappa: 0.7124, kb_relative_information_score: -896.1216, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8727, prior_entropy: 1.2099, recall: 0.8727, relative_absolute_error: 1.5887, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4202, root_relative_squared_error: 1.2427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.8688, kappa: 0.7154, kb_relative_information_score: -915.2327, mean_absolute_error: 0.3671, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.877, predictive_accuracy: 0.8779, prior_entropy: 1.2099, recall: 0.8779, relative_absolute_error: 1.6032, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4239, root_relative_squared_error: 1.2539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8984, kappa: 0.7809, kb_relative_information_score: 1306.394, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9025, predictive_accuracy: 0.8964, prior_entropy: 1.2099, recall: 0.8964, relative_absolute_error: 0.2967, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.5518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.864, kappa: 0.7224, kb_relative_information_score: 1111.8742, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.891, predictive_accuracy: 0.8605, prior_entropy: 1.2099, recall: 0.8605, relative_absolute_error: 0.4263, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.6969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8633, kappa: 0.7183, kb_relative_information_score: 1112.4301, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8907, predictive_accuracy: 0.8576, prior_entropy: 1.2099, recall: 0.8576, relative_absolute_error: 0.4315, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.6971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.8313, kappa: 0.6302, kb_relative_information_score: 1003.777, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8299, predictive_accuracy: 0.8339, prior_entropy: 1.2099, recall: 0.8339, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9577, kappa: 0.9084, kb_relative_information_score: 1556.7855, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9622, predictive_accuracy: 0.9566, prior_entropy: 1.2099, recall: 0.9566, relative_absolute_error: 0.118, 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: 0.9981, f_measure: 0.9762, kappa: 0.9481, kb_relative_information_score: -738.3228, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9762, predictive_accuracy: 0.9763, prior_entropy: 1.2099, recall: 0.9763, relative_absolute_error: 1.5132, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4002, root_relative_squared_error: 1.1836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, kappa: 0.6331, kb_relative_information_score: -838.7173, mean_absolute_error: 0.3543, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8304, prior_entropy: 1.2099, recall: 0.8304, relative_absolute_error: 1.5475, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4095, root_relative_squared_error: 1.2113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1703.4719, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2099, recall: 1, relative_absolute_error: 0.0179, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0224, root_relative_squared_error: 0.0663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.7817, kappa: 0.5782, kb_relative_information_score: 261.992, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8596, predictive_accuracy: 0.7633, prior_entropy: 1.2099, recall: 0.7633, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.9133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9088, kappa: 0.8055, kb_relative_information_score: 1363.3564, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9248, predictive_accuracy: 0.9034, prior_entropy: 1.2099, recall: 0.9034, relative_absolute_error: 0.2432, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.5617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.6817, kappa: 0.2773, kb_relative_information_score: 455.1947, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.6723, predictive_accuracy: 0.7176, prior_entropy: 1.2099, recall: 0.7176, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.8949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9627, kappa: 0.9188, kb_relative_information_score: 1543.4811, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9626, predictive_accuracy: 0.963, prior_entropy: 1.2099, recall: 0.963, relative_absolute_error: 0.0821, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.3951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9747, kappa: 0.9453, kb_relative_information_score: 1601.8139, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9746, predictive_accuracy: 0.9751, prior_entropy: 1.2099, recall: 0.9751, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.3185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9781, kappa: 0.9525, kb_relative_information_score: -865.1558, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9789, predictive_accuracy: 0.978, prior_entropy: 1.2099, recall: 0.978, relative_absolute_error: 1.5805, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.418, root_relative_squared_error: 1.2363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9727, kappa: 0.941, kb_relative_information_score: 1598.1715, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9732, predictive_accuracy: 0.9728, prior_entropy: 1.2099, recall: 0.9728, relative_absolute_error: 0.0629, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.3264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9581, kappa: 0.9091, kb_relative_information_score: 1518.4736, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9624, predictive_accuracy: 0.9572, prior_entropy: 1.2099, recall: 0.9572, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1284, root_relative_squared_error: 0.3797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9837, kappa: 0.9646, kb_relative_information_score: -794.6563, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9839, predictive_accuracy: 0.9838, prior_entropy: 1.2099, recall: 0.9838, relative_absolute_error: 1.5422, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4079, root_relative_squared_error: 1.2063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9016, kappa: 0.7891, kb_relative_information_score: 1260.5108, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9099, predictive_accuracy: 0.8981, prior_entropy: 1.2099, recall: 0.8981, relative_absolute_error: 0.3318, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.5866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9211, kappa: 0.8315, kb_relative_information_score: 1360.2045, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.931, predictive_accuracy: 0.9178, prior_entropy: 1.2099, recall: 0.9178, relative_absolute_error: 0.2693, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.4916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, kappa: 0.3493, kb_relative_information_score: -917.161, mean_absolute_error: 0.3666, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7639, prior_entropy: 1.2099, recall: 0.7639, relative_absolute_error: 1.6009, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4234, root_relative_squared_error: 1.2522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9619, kappa: 0.9173, kb_relative_information_score: 1556.4593, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9618, predictive_accuracy: 0.9624, prior_entropy: 1.2099, recall: 0.9624, relative_absolute_error: 0.0836, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1323, root_relative_squared_error: 0.3913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9751, kappa: 0.9455, kb_relative_information_score: -732.854, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9751, predictive_accuracy: 0.9751, prior_entropy: 1.2099, recall: 0.9751, relative_absolute_error: 1.5105, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3995, root_relative_squared_error: 1.1815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9819, kappa: 0.9606, kb_relative_information_score: -872.4881, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.982, predictive_accuracy: 0.9821, prior_entropy: 1.2099, recall: 0.9821, relative_absolute_error: 1.5818, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4183, root_relative_squared_error: 1.2373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.8445, kappa: 0.6724, kb_relative_information_score: -910.7709, mean_absolute_error: 0.3662, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8613, predictive_accuracy: 0.8623, prior_entropy: 1.2099, recall: 0.8623, relative_absolute_error: 1.5993, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4229, root_relative_squared_error: 1.2509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9258, kappa: 0.8381, kb_relative_information_score: 1379.1586, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9264, predictive_accuracy: 0.9253, prior_entropy: 1.2099, recall: 0.9253, relative_absolute_error: 0.2501, 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: 0.9828, f_measure: 0.909, kappa: 0.802, kb_relative_information_score: 1325.4422, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9103, predictive_accuracy: 0.9091, prior_entropy: 1.2099, recall: 0.9091, relative_absolute_error: 0.286, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.5249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9819, kappa: 0.9607, kb_relative_information_score: 1634.0157, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9822, predictive_accuracy: 0.9821, prior_entropy: 1.2099, recall: 0.9821, relative_absolute_error: 0.0402, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.2666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.8142, kappa: 0.6021, kb_relative_information_score: 598.6942, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8227, predictive_accuracy: 0.809, prior_entropy: 1.2099, recall: 0.809, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.8138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, kappa: 0.3721, kb_relative_information_score: -929.2682, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7685, prior_entropy: 1.2099, recall: 0.7685, relative_absolute_error: 1.61, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4257, root_relative_squared_error: 1.2592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9704, kappa: 0.9355, kb_relative_information_score: -713.7733, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9705, predictive_accuracy: 0.9705, prior_entropy: 1.2099, recall: 0.9705, relative_absolute_error: 1.5009, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.397, root_relative_squared_error: 1.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.8754, kappa: 0.7407, kb_relative_information_score: 1013.4463, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9007, predictive_accuracy: 0.8681, prior_entropy: 1.2099, recall: 0.8681, relative_absolute_error: 0.5328, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.6636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.8776, kappa: 0.7436, kb_relative_information_score: 1143.6505, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8968, predictive_accuracy: 0.8727, prior_entropy: 1.2099, recall: 0.8727, relative_absolute_error: 0.4123, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.6699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9677, kappa: 0.9301, kb_relative_information_score: 1577.1758, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9676, predictive_accuracy: 0.9682, prior_entropy: 1.2099, recall: 0.9682, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.3576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9399, kappa: 0.8701, kb_relative_information_score: 1478.4809, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.946, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 0.1704, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.4399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9051, kappa: 0.7982, kb_relative_information_score: 1347.9632, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.923, predictive_accuracy: 0.8993, prior_entropy: 1.2099, recall: 0.8993, relative_absolute_error: 0.252, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9737, kappa: 0.943, kb_relative_information_score: 1603.6016, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9739, predictive_accuracy: 0.974, prior_entropy: 1.2099, recall: 0.974, relative_absolute_error: 0.0578, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1055, root_relative_squared_error: 0.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.873, kappa: 0.7606, kb_relative_information_score: -901.0387, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.91, predictive_accuracy: 0.8918, prior_entropy: 1.2099, recall: 0.8918, relative_absolute_error: 1.5923, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4211, root_relative_squared_error: 1.2455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9632, kappa: 0.9203, kb_relative_information_score: -891.5698, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9662, predictive_accuracy: 0.9624, prior_entropy: 1.2099, recall: 0.9624, relative_absolute_error: 1.5941, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4216, root_relative_squared_error: 1.2468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9274, kappa: 0.8427, kb_relative_information_score: 1373.0511, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9316, predictive_accuracy: 0.9253, prior_entropy: 1.2099, recall: 0.9253, relative_absolute_error: 0.2533, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.167, root_relative_squared_error: 0.4938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9376, kappa: 0.8663, kb_relative_information_score: 1394.4203, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9466, predictive_accuracy: 0.9352, prior_entropy: 1.2099, recall: 0.9352, relative_absolute_error: 0.2503, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.4936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.966, kappa: 0.9267, kb_relative_information_score: 1575.4063, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9663, predictive_accuracy: 0.9664, prior_entropy: 1.2099, recall: 0.9664, relative_absolute_error: 0.0714, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.3566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8265, kappa: 0.6248, kb_relative_information_score: 682.1888, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8329, predictive_accuracy: 0.8223, prior_entropy: 1.2099, recall: 0.8223, relative_absolute_error: 0.7329, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.7842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.932, kappa: 0.8611, kb_relative_information_score: -840.1669, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9402, predictive_accuracy: 0.9375, prior_entropy: 1.2099, recall: 0.9375, relative_absolute_error: 1.5551, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4114, root_relative_squared_error: 1.2167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9005, kappa: 0.7894, kb_relative_information_score: 1337.5954, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9167, predictive_accuracy: 0.8958, prior_entropy: 1.2099, recall: 0.8958, relative_absolute_error: 0.2724, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.5807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.985, kappa: 0.9673, kb_relative_information_score: -836.2166, mean_absolute_error: 0.3583, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9853, predictive_accuracy: 0.985, prior_entropy: 1.2099, recall: 0.985, relative_absolute_error: 1.5649, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4139, root_relative_squared_error: 1.2241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9925, kappa: 0.9836, kb_relative_information_score: 1642.6935, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9926, predictive_accuracy: 0.9925, prior_entropy: 1.2099, recall: 0.9925, relative_absolute_error: 0.0693, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0611, root_relative_squared_error: 0.1807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.8996, kappa: 0.7856, kb_relative_information_score: 1265.6905, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9085, predictive_accuracy: 0.8964, prior_entropy: 1.2099, recall: 0.8964, relative_absolute_error: 0.3239, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9073, kappa: 0.8025, kb_relative_information_score: 1272.0456, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9249, predictive_accuracy: 0.9016, prior_entropy: 1.2099, recall: 0.9016, relative_absolute_error: 0.3267, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.5909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9855, kappa: 0.9685, kb_relative_information_score: -812.6922, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9857, predictive_accuracy: 0.9855, prior_entropy: 1.2099, recall: 0.9855, relative_absolute_error: 1.5523, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4105, root_relative_squared_error: 1.2142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9125, kappa: 0.8152, kb_relative_information_score: 1362.2979, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9277, predictive_accuracy: 0.9086, prior_entropy: 1.2099, recall: 0.9086, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.5321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9189, kappa: 0.8281, kb_relative_information_score: 1393.7376, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9326, predictive_accuracy: 0.9155, prior_entropy: 1.2099, recall: 0.9155, relative_absolute_error: 0.2367, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.981, kappa: 0.9586, kb_relative_information_score: -853.7024, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9815, predictive_accuracy: 0.9809, prior_entropy: 1.2099, recall: 0.9809, relative_absolute_error: 1.5742, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4163, root_relative_squared_error: 1.2314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, kappa: 0.334, kb_relative_information_score: -928.3195, mean_absolute_error: 0.3685, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7593, prior_entropy: 1.2099, recall: 0.7593, relative_absolute_error: 1.6093, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4256, root_relative_squared_error: 1.2586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9594, kappa: 0.912, kb_relative_information_score: 1553.1822, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9637, predictive_accuracy: 0.9583, prior_entropy: 1.2099, recall: 0.9583, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.3715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9134, kappa: 0.8155, kb_relative_information_score: 1285.934, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9289, predictive_accuracy: 0.9086, prior_entropy: 1.2099, recall: 0.9086, relative_absolute_error: 0.3205, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.5801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9477, kappa: 0.8876, kb_relative_information_score: 1491.2428, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.953, predictive_accuracy: 0.9462, prior_entropy: 1.2099, recall: 0.9462, relative_absolute_error: 0.1697, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.4266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9856, kappa: 0.9686, kb_relative_information_score: -802.7699, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9858, predictive_accuracy: 0.9855, prior_entropy: 1.2099, recall: 0.9855, relative_absolute_error: 1.5467, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4091, root_relative_squared_error: 1.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9729, kappa: 0.9406, kb_relative_information_score: -724.7286, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9732, predictive_accuracy: 0.9728, prior_entropy: 1.2099, recall: 0.9728, relative_absolute_error: 1.5051, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3981, root_relative_squared_error: 1.1773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, kappa: 0.7463, kb_relative_information_score: -897.4429, mean_absolute_error: 0.3641, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.886, prior_entropy: 1.2099, recall: 0.886, relative_absolute_error: 1.5899, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4205, root_relative_squared_error: 1.2436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9884, kappa: 0.9747, kb_relative_information_score: 1659.3269, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9885, predictive_accuracy: 0.9884, prior_entropy: 1.2099, recall: 0.9884, relative_absolute_error: 0.0293, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0715, root_relative_squared_error: 0.2116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9795, kappa: 0.9557, kb_relative_information_score: -794.024, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9797, predictive_accuracy: 0.9797, prior_entropy: 1.2099, recall: 0.9797, relative_absolute_error: 1.5418, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4078, root_relative_squared_error: 1.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9607, kappa: 0.9177, kb_relative_information_score: -854.8043, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9639, predictive_accuracy: 0.963, prior_entropy: 1.2099, recall: 0.963, relative_absolute_error: 1.5664, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4143, root_relative_squared_error: 1.2253,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs