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: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1704.3428, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2099, recall: 1, relative_absolute_error: 0.0174, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0204, root_relative_squared_error: 0.0603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.774, kappa: 0.5447, kb_relative_information_score: 296.8863, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8177, predictive_accuracy: 0.7593, prior_entropy: 1.2099, recall: 0.7593, relative_absolute_error: 0.9722, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.8997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9884, kappa: 0.9748, kb_relative_information_score: 1667.999, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9887, predictive_accuracy: 0.9884, prior_entropy: 1.2099, recall: 0.9884, relative_absolute_error: 0.0284, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0701, root_relative_squared_error: 0.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9023, kappa: 0.7894, kb_relative_information_score: 1283.9596, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9109, predictive_accuracy: 0.8981, prior_entropy: 1.2099, recall: 0.8981, relative_absolute_error: 0.317, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.5763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.8199, kappa: 0.6095, kb_relative_information_score: 822.2982, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8262, predictive_accuracy: 0.8345, prior_entropy: 1.2099, recall: 0.8345, relative_absolute_error: 0.5896, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.8197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9768, kappa: 0.9494, kb_relative_information_score: -749.8327, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9769, predictive_accuracy: 0.9769, prior_entropy: 1.2099, recall: 0.9769, relative_absolute_error: 1.5184, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4016, root_relative_squared_error: 1.1877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9775, kappa: 0.9509, kb_relative_information_score: -743.6308, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9778, predictive_accuracy: 0.9774, prior_entropy: 1.2099, recall: 0.9774, relative_absolute_error: 1.5136, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4003, root_relative_squared_error: 1.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9024, kappa: 0.7922, kb_relative_information_score: 1261.827, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9103, predictive_accuracy: 0.8999, prior_entropy: 1.2099, recall: 0.8999, relative_absolute_error: 0.3312, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.5816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, kappa: 0.3899, kb_relative_information_score: -937.4895, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7691, prior_entropy: 1.2099, recall: 0.7691, relative_absolute_error: 1.6164, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4274, root_relative_squared_error: 1.2641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.8737, kappa: 0.7376, kb_relative_information_score: 1148.6776, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8951, predictive_accuracy: 0.8692, prior_entropy: 1.2099, recall: 0.8692, relative_absolute_error: 0.4026, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.228, root_relative_squared_error: 0.6743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9577, kappa: 0.9085, kb_relative_information_score: 1558.0834, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9618, predictive_accuracy: 0.9566, prior_entropy: 1.2099, recall: 0.9566, relative_absolute_error: 0.117, 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: 0.9028, kb_relative_information_score: -895.0135, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.5845, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4191, root_relative_squared_error: 1.2396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9147, kappa: 0.8291, kb_relative_information_score: -838.387, mean_absolute_error: 0.3557, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9253, predictive_accuracy: 0.9236, prior_entropy: 1.2099, recall: 0.9236, relative_absolute_error: 1.5534, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4109, root_relative_squared_error: 1.2154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9746, kappa: 0.9443, kb_relative_information_score: -718.1141, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9747, predictive_accuracy: 0.9745, prior_entropy: 1.2099, recall: 0.9745, relative_absolute_error: 1.5034, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3976, root_relative_squared_error: 1.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9914, kappa: 0.9811, kb_relative_information_score: 1663.1276, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9916, predictive_accuracy: 0.9913, prior_entropy: 1.2099, recall: 0.9913, relative_absolute_error: 0.0475, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0614, root_relative_squared_error: 0.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.967, kappa: 0.928, kb_relative_information_score: 1572.0885, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9671, predictive_accuracy: 0.967, prior_entropy: 1.2099, recall: 0.967, relative_absolute_error: 0.0751, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.3642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9135, kappa: 0.8259, kb_relative_information_score: -878.0182, mean_absolute_error: 0.3616, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9256, predictive_accuracy: 0.9225, prior_entropy: 1.2099, recall: 0.9225, relative_absolute_error: 1.579, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4176, root_relative_squared_error: 1.2352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9291, kappa: 0.8464, kb_relative_information_score: 1373.6566, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9334, predictive_accuracy: 0.9271, prior_entropy: 1.2099, recall: 0.9271, relative_absolute_error: 0.2503, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.4946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9637, kappa: 0.9215, kb_relative_information_score: 1553.1251, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9638, predictive_accuracy: 0.9641, prior_entropy: 1.2099, recall: 0.9641, relative_absolute_error: 0.0806, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.3822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, f_measure: 0.721, kappa: 0.3832, kb_relative_information_score: 570.6379, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.7057, predictive_accuracy: 0.7442, prior_entropy: 1.2099, recall: 0.7442, relative_absolute_error: 0.7193, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.8587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, kappa: 0.592, kb_relative_information_score: -879.4097, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8293, prior_entropy: 1.2099, recall: 0.8293, relative_absolute_error: 1.575, 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: 0.9986, f_measure: 0.9845, kappa: 0.9661, kb_relative_information_score: 1612.3647, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9848, predictive_accuracy: 0.9844, prior_entropy: 1.2099, recall: 0.9844, relative_absolute_error: 0.0881, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.082, root_relative_squared_error: 0.2424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.7626, kappa: 0.5124, kb_relative_information_score: 629.8451, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8289, predictive_accuracy: 0.7332, prior_entropy: 1.2099, recall: 0.7332, relative_absolute_error: 0.7353, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.8825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9749, kappa: 0.9454, kb_relative_information_score: 1582.7866, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9759, predictive_accuracy: 0.9745, prior_entropy: 1.2099, recall: 0.9745, relative_absolute_error: 0.1072, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1002, root_relative_squared_error: 0.2963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9392, kappa: 0.8686, kb_relative_information_score: 1455.0632, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9449, predictive_accuracy: 0.9375, prior_entropy: 1.2099, recall: 0.9375, relative_absolute_error: 0.1965, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1479, root_relative_squared_error: 0.4373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.7459, kappa: 0.4379, kb_relative_information_score: 709.7616, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.7374, predictive_accuracy: 0.7593, prior_entropy: 1.2099, recall: 0.7593, relative_absolute_error: 0.6447, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.8292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, kappa: 0.3854, kb_relative_information_score: -925.752, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7726, prior_entropy: 1.2099, recall: 0.7726, relative_absolute_error: 1.6073, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.425, root_relative_squared_error: 1.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.902, kappa: 0.785, kb_relative_information_score: 1343.5347, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9011, predictive_accuracy: 0.9051, prior_entropy: 1.2099, recall: 0.9051, relative_absolute_error: 0.269, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.5052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9305, kappa: 0.8487, kb_relative_information_score: 1392.4672, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9308, predictive_accuracy: 0.9306, prior_entropy: 1.2099, recall: 0.9306, relative_absolute_error: 0.2365, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.8816, kappa: 0.753, kb_relative_information_score: 918.14, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.904, predictive_accuracy: 0.875, prior_entropy: 1.2099, recall: 0.875, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.6757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9762, kappa: 0.9481, kb_relative_information_score: 1617.2391, mean_absolute_error: 0.0119, 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: 0.0519, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1056, root_relative_squared_error: 0.3124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9672, kappa: 0.9289, kb_relative_information_score: 1567.4153, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9689, predictive_accuracy: 0.967, prior_entropy: 1.2099, recall: 0.967, relative_absolute_error: 0.0859, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.121, root_relative_squared_error: 0.3578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.8527, kappa: 0.7062, kb_relative_information_score: -906.2317, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8842, predictive_accuracy: 0.8704, prior_entropy: 1.2099, recall: 0.8704, relative_absolute_error: 1.5959, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4221, root_relative_squared_error: 1.2483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9784, kappa: 0.9531, kb_relative_information_score: -788.1015, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9784, predictive_accuracy: 0.9786, prior_entropy: 1.2099, recall: 0.9786, relative_absolute_error: 1.5382, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4068, root_relative_squared_error: 1.2032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.8269, kappa: 0.6249, kb_relative_information_score: -909.9939, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8414, predictive_accuracy: 0.8466, prior_entropy: 1.2099, recall: 0.8466, relative_absolute_error: 1.5986, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4228, root_relative_squared_error: 1.2503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.8839, kappa: 0.7524, kb_relative_information_score: 1207.5078, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8986, predictive_accuracy: 0.8785, prior_entropy: 1.2099, recall: 0.8785, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.6354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9723, kappa: 0.94, kb_relative_information_score: 1594.7605, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9729, predictive_accuracy: 0.9722, prior_entropy: 1.2099, recall: 0.9722, relative_absolute_error: 0.062, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.3267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9989, kappa: 0.9975, kb_relative_information_score: 1698.663, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9989, predictive_accuracy: 0.9988, prior_entropy: 1.2099, recall: 0.9988, relative_absolute_error: 0.0213, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0293, root_relative_squared_error: 0.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9766, kappa: 0.9493, kb_relative_information_score: 1614.568, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9769, predictive_accuracy: 0.9769, prior_entropy: 1.2099, recall: 0.9769, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.3024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.8692, kappa: 0.7302, kb_relative_information_score: 1144.9192, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8935, predictive_accuracy: 0.8652, prior_entropy: 1.2099, recall: 0.8652, relative_absolute_error: 0.4013, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.227, root_relative_squared_error: 0.6713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9697, kappa: 0.934, kb_relative_information_score: 1585.0492, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9706, predictive_accuracy: 0.9693, prior_entropy: 1.2099, recall: 0.9693, relative_absolute_error: 0.1024, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.3056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9678, kappa: 0.9302, kb_relative_information_score: 1574.2254, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9694, predictive_accuracy: 0.9676, prior_entropy: 1.2099, recall: 0.9676, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.117, root_relative_squared_error: 0.3459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9714, kappa: 0.9379, kb_relative_information_score: -828.4173, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9717, predictive_accuracy: 0.9716, prior_entropy: 1.2099, recall: 0.9716, relative_absolute_error: 1.553, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4108, root_relative_squared_error: 1.2149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9756, kappa: 0.9467, kb_relative_information_score: -741.2217, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9756, predictive_accuracy: 0.9757, prior_entropy: 1.2099, recall: 0.9757, relative_absolute_error: 1.5144, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4005, root_relative_squared_error: 1.1846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9758, kappa: 0.9472, kb_relative_information_score: -766.5861, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9762, predictive_accuracy: 0.9757, prior_entropy: 1.2099, recall: 0.9757, relative_absolute_error: 1.5215, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4025, root_relative_squared_error: 1.1903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9811, kappa: 0.9586, kb_relative_information_score: -850.8839, mean_absolute_error: 0.3601, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9814, predictive_accuracy: 0.9809, prior_entropy: 1.2099, recall: 0.9809, relative_absolute_error: 1.5727, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.416, root_relative_squared_error: 1.2302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1705.3721, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2099, recall: 1, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.018, root_relative_squared_error: 0.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9652, kappa: 0.924, kb_relative_information_score: 1569.4446, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9652, predictive_accuracy: 0.9653, prior_entropy: 1.2099, recall: 0.9653, relative_absolute_error: 0.0779, 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: 0.9801, f_measure: 0.9028, kappa: 0.7915, kb_relative_information_score: 1261.9273, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9113, predictive_accuracy: 0.8993, prior_entropy: 1.2099, recall: 0.8993, relative_absolute_error: 0.3331, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.195, root_relative_squared_error: 0.5767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.8544, kappa: 0.6883, kb_relative_information_score: 1067.877, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8625, predictive_accuracy: 0.8507, prior_entropy: 1.2099, recall: 0.8507, relative_absolute_error: 0.4464, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.6808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9489, kappa: 0.8902, kb_relative_information_score: -817.7962, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9497, predictive_accuracy: 0.9502, prior_entropy: 1.2099, recall: 0.9502, relative_absolute_error: 1.5441, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4085, root_relative_squared_error: 1.2081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.917, kappa: 0.8232, kb_relative_information_score: 1367.4113, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9272, predictive_accuracy: 0.9138, prior_entropy: 1.2099, recall: 0.9138, relative_absolute_error: 0.2604, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.172, root_relative_squared_error: 0.5086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1703.6072, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2099, recall: 1, relative_absolute_error: 0.0174, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.023, root_relative_squared_error: 0.0681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.8736, kappa: 0.7402, kb_relative_information_score: 960.7959, mean_absolute_error: 0.1314, 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: 0.574, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.6757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9676, kappa: 0.9291, kb_relative_information_score: -863.6875, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9678, predictive_accuracy: 0.9682, prior_entropy: 1.2099, recall: 0.9682, relative_absolute_error: 1.5745, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4164, root_relative_squared_error: 1.2316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9684, kappa: 0.9313, kb_relative_information_score: 1575.3371, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9696, predictive_accuracy: 0.9682, prior_entropy: 1.2099, recall: 0.9682, relative_absolute_error: 0.0797, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.3406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9757, kappa: 0.947, kb_relative_information_score: -770.855, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.976, predictive_accuracy: 0.9757, prior_entropy: 1.2099, recall: 0.9757, relative_absolute_error: 1.526, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4036, root_relative_squared_error: 1.1937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9229, kappa: 0.8314, kb_relative_information_score: 1363.1633, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9233, predictive_accuracy: 0.923, prior_entropy: 1.2099, recall: 0.923, relative_absolute_error: 0.2574, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.4943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9675, kappa: 0.9291, kb_relative_information_score: 1583.9231, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9686, predictive_accuracy: 0.967, prior_entropy: 1.2099, recall: 0.967, relative_absolute_error: 0.1003, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1068, root_relative_squared_error: 0.3159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.982, kappa: 0.9607, kb_relative_information_score: -732.7411, mean_absolute_error: 0.3459, 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: 1.5107, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3995, root_relative_squared_error: 1.1816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9098, kappa: 0.8078, kb_relative_information_score: 1362.611, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.926, predictive_accuracy: 0.9045, prior_entropy: 1.2099, recall: 0.9045, relative_absolute_error: 0.243, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.191, root_relative_squared_error: 0.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.8936, kappa: 0.7741, kb_relative_information_score: 1270.0504, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9019, predictive_accuracy: 0.8912, prior_entropy: 1.2099, recall: 0.8912, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.5761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9767, kappa: 0.9492, kb_relative_information_score: -784.9897, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9767, predictive_accuracy: 0.9769, prior_entropy: 1.2099, recall: 0.9769, relative_absolute_error: 1.5364, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4064, root_relative_squared_error: 1.2018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9284, kappa: 0.8451, kb_relative_information_score: 1370.8901, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9325, predictive_accuracy: 0.9265, prior_entropy: 1.2099, recall: 0.9265, relative_absolute_error: 0.2528, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.167, root_relative_squared_error: 0.4939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.791, kappa: 0.5408, kb_relative_information_score: 858.4417, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.7869, predictive_accuracy: 0.798, prior_entropy: 1.2099, recall: 0.798, relative_absolute_error: 0.5645, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.7741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9255, kappa: 0.8404, kb_relative_information_score: 1369.1681, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9346, predictive_accuracy: 0.9225, prior_entropy: 1.2099, recall: 0.9225, relative_absolute_error: 0.2584, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.5172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1704.5187, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2099, recall: 1, relative_absolute_error: 0.0169, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0219, root_relative_squared_error: 0.0647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9142, kappa: 0.8122, kb_relative_information_score: 1339.9093, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9147, predictive_accuracy: 0.9138, prior_entropy: 1.2099, recall: 0.9138, relative_absolute_error: 0.2767, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.5198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9292, kappa: 0.8465, kb_relative_information_score: 1376.557, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9338, predictive_accuracy: 0.9271, prior_entropy: 1.2099, recall: 0.9271, relative_absolute_error: 0.2513, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.4933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9371, kappa: 0.8632, kb_relative_information_score: 1412.1042, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9383, predictive_accuracy: 0.9363, prior_entropy: 1.2099, recall: 0.9363, relative_absolute_error: 0.2317, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.842, kappa: 0.6542, kb_relative_information_score: 1031.8726, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8407, predictive_accuracy: 0.8449, prior_entropy: 1.2099, recall: 0.8449, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.238, root_relative_squared_error: 0.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9943, kappa: 0.9874, kb_relative_information_score: 1679.7228, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9945, predictive_accuracy: 0.9942, prior_entropy: 1.2099, recall: 0.9942, relative_absolute_error: 0.0345, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0483, root_relative_squared_error: 0.1428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1705.5442, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2099, recall: 1, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0173, root_relative_squared_error: 0.0511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9638, kappa: 0.9215, kb_relative_information_score: 1530.881, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9639, predictive_accuracy: 0.9641, prior_entropy: 1.2099, recall: 0.9641, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9546, kappa: 0.9007, kb_relative_information_score: 1473.002, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9555, predictive_accuracy: 0.9543, prior_entropy: 1.2099, recall: 0.9543, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.3965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9333, kappa: 0.8549, kb_relative_information_score: 1378.6915, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9329, predictive_accuracy: 0.934, prior_entropy: 1.2099, recall: 0.934, relative_absolute_error: 0.2477, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.4801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.8942, kappa: 0.768, kb_relative_information_score: 1357.5694, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8987, predictive_accuracy: 0.8987, prior_entropy: 1.2099, recall: 0.8987, relative_absolute_error: 0.2588, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.5085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9914, kappa: 0.9811, kb_relative_information_score: 1672.1948, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9915, predictive_accuracy: 0.9913, prior_entropy: 1.2099, recall: 0.9913, relative_absolute_error: 0.0395, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0585, root_relative_squared_error: 0.1731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9015, kappa: 0.787, kb_relative_information_score: 1260.9994, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9117, predictive_accuracy: 0.897, prior_entropy: 1.2099, recall: 0.897, relative_absolute_error: 0.3336, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.5843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.8751, kappa: 0.7282, kb_relative_information_score: 1239.7681, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8764, predictive_accuracy: 0.8762, prior_entropy: 1.2099, recall: 0.8762, relative_absolute_error: 0.3395, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.5938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.8735, kappa: 0.7245, kb_relative_information_score: 1254.7839, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8736, predictive_accuracy: 0.8744, prior_entropy: 1.2099, recall: 0.8744, relative_absolute_error: 0.327, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.197, root_relative_squared_error: 0.5827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.897, kappa: 0.7812, kb_relative_information_score: 1277.6202, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9075, predictive_accuracy: 0.8941, prior_entropy: 1.2099, recall: 0.8941, relative_absolute_error: 0.3148, 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: 0.7831, kappa: 0.117, kb_relative_information_score: 231.2451, mean_absolute_error: 0.1976, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.6655, prior_entropy: 1.2099, recall: 0.6655, relative_absolute_error: 0.8629, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.317, root_relative_squared_error: 0.9376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8963, kappa: 0.7785, kb_relative_information_score: 1269.2059, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9053, predictive_accuracy: 0.8929, prior_entropy: 1.2099, recall: 0.8929, relative_absolute_error: 0.3246, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.5862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, kappa: 0.1905, kb_relative_information_score: 302.4222, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.6887, prior_entropy: 1.2099, recall: 0.6887, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.9186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.863, kappa: 0.7189, kb_relative_information_score: 1107.3692, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8918, predictive_accuracy: 0.8576, prior_entropy: 1.2099, recall: 0.8576, relative_absolute_error: 0.4363, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.6859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.8659, kappa: 0.7088, kb_relative_information_score: 1192.2123, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8653, predictive_accuracy: 0.8675, prior_entropy: 1.2099, recall: 0.8675, relative_absolute_error: 0.3674, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.6223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9295, kappa: 0.8475, kb_relative_information_score: 1375.7883, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9333, predictive_accuracy: 0.9277, prior_entropy: 1.2099, recall: 0.9277, relative_absolute_error: 0.2517, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.4941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9671, kappa: 0.9276, kb_relative_information_score: 1561.2946, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9686, predictive_accuracy: 0.9664, prior_entropy: 1.2099, recall: 0.9664, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.3297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9987, kb_relative_information_score: 1698.8645, 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: 0.023, 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: 0.9805, f_measure: 0.9074, kappa: 0.8034, kb_relative_information_score: 1282.1068, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9163, predictive_accuracy: 0.9051, prior_entropy: 1.2099, recall: 0.9051, relative_absolute_error: 0.3182, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.8873, kappa: 0.7601, kb_relative_information_score: 1200.3156, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9002, predictive_accuracy: 0.8825, prior_entropy: 1.2099, recall: 0.8825, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.6307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, kappa: 0.01, kb_relative_information_score: 244.3212, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9113, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3156, root_relative_squared_error: 0.9333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9925, kappa: 0.9836, kb_relative_information_score: 1645.1986, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 1.2099, recall: 0.9925, relative_absolute_error: 0.0668, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0606, root_relative_squared_error: 0.1792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9376, kappa: 0.8643, kb_relative_information_score: 1396.5122, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9379, predictive_accuracy: 0.9375, prior_entropy: 1.2099, recall: 0.9375, relative_absolute_error: 0.2348, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.4635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.913, kappa: 0.815, kb_relative_information_score: 1331.6333, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9221, predictive_accuracy: 0.9103, prior_entropy: 1.2099, recall: 0.9103, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.5458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8746, kappa: 0.7304, kb_relative_information_score: 1216.3291, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8764, predictive_accuracy: 0.875, prior_entropy: 1.2099, recall: 0.875, relative_absolute_error: 0.3546, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.6017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.927, kappa: 0.8417, kb_relative_information_score: 1370.2154, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9316, predictive_accuracy: 0.9248, prior_entropy: 1.2099, recall: 0.9248, relative_absolute_error: 0.2543, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.5003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, kappa: 0.5136, kb_relative_information_score: 637.1768, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7459, prior_entropy: 1.2099, recall: 0.7459, relative_absolute_error: 0.6966, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.8742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.766, kappa: 0.4857, kb_relative_information_score: 733.6822, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.7587, predictive_accuracy: 0.7766, prior_entropy: 1.2099, recall: 0.7766, relative_absolute_error: 0.633, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.8138,

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