OpenML
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 49 Supervised Classification tic-tac-toe 111519 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

111519 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.7883, kappa: 0.5224, kb_relative_information_score: 383.6077, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8442, predictive_accuracy: 0.81, prior_entropy: 0.9312, recall: 0.81, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9135, kappa: 0.8091, kb_relative_information_score: 720.6119, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9136, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.5153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9386, kappa: 0.8647, kb_relative_information_score: 806.5911, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9388, predictive_accuracy: 0.9384, prior_entropy: 0.9312, recall: 0.9384, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8531, kappa: 0.6836, kb_relative_information_score: 539.0079, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8621, predictive_accuracy: 0.8507, prior_entropy: 0.9312, recall: 0.8507, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9135, kappa: 0.8091, kb_relative_information_score: 720.6119, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9136, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.5153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.921, kappa: 0.8243, kb_relative_information_score: 727.6743, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9215, predictive_accuracy: 0.9217, prior_entropy: 0.9312, recall: 0.9217, relative_absolute_error: 0.2471, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.5061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8229, kappa: 0.6224, kb_relative_information_score: 490.1791, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8376, predictive_accuracy: 0.8194, prior_entropy: 0.9312, recall: 0.8194, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8531, kappa: 0.6836, kb_relative_information_score: 539.0079, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8621, predictive_accuracy: 0.8507, prior_entropy: 0.9312, recall: 0.8507, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9297, kappa: 0.8441, kb_relative_information_score: 755.5438, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9298, predictive_accuracy: 0.9301, prior_entropy: 0.9312, recall: 0.9301, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, f_measure: 0.7249, kappa: 0.3781, kb_relative_information_score: 203.8751, mean_absolute_error: 0.3633, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.749, predictive_accuracy: 0.7484, prior_entropy: 0.9312, recall: 0.7484, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.7146, kappa: 0.3597, kb_relative_information_score: 196.9738, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7129, predictive_accuracy: 0.7213, prior_entropy: 0.9312, recall: 0.7213, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.7227, kappa: 0.3726, kb_relative_information_score: 204.3797, mean_absolute_error: 0.3616, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7369, predictive_accuracy: 0.7422, prior_entropy: 0.9312, recall: 0.7422, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9135, kappa: 0.8091, kb_relative_information_score: 720.6119, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9136, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.5153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7023, f_measure: 0.7097, kappa: 0.3482, kb_relative_information_score: 191.0913, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.708, predictive_accuracy: 0.7171, prior_entropy: 0.9312, recall: 0.7171, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.436, root_relative_squared_error: 0.9161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9297, kappa: 0.8441, kb_relative_information_score: 755.5438, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9298, predictive_accuracy: 0.9301, prior_entropy: 0.9312, recall: 0.9301, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8219, kappa: 0.6078, kb_relative_information_score: 476.3721, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8225, predictive_accuracy: 0.8215, prior_entropy: 0.9312, recall: 0.8215, relative_absolute_error: 0.5046, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.7285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9288, kappa: 0.8424, kb_relative_information_score: 767.2482, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9287, predictive_accuracy: 0.929, prior_entropy: 0.9312, recall: 0.929, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.226, root_relative_squared_error: 0.4749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.7075, kappa: 0.3424, kb_relative_information_score: 171.515, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7062, predictive_accuracy: 0.7161, prior_entropy: 0.9312, recall: 0.7161, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.9175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8531, kappa: 0.6836, kb_relative_information_score: 539.0079, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8621, predictive_accuracy: 0.8507, prior_entropy: 0.9312, recall: 0.8507, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, f_measure: 0.7484, kappa: 0.4346, kb_relative_information_score: 283.0343, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8139, predictive_accuracy: 0.7787, prior_entropy: 0.9312, recall: 0.7787, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9015, kappa: 0.7802, kb_relative_information_score: 697.0638, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9029, predictive_accuracy: 0.9029, prior_entropy: 0.9312, recall: 0.9029, relative_absolute_error: 0.2752, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.256, root_relative_squared_error: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9383, kappa: 0.8635, kb_relative_information_score: 811.3629, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9382, predictive_accuracy: 0.9384, prior_entropy: 0.9312, recall: 0.9384, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.4614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8531, kappa: 0.6836, kb_relative_information_score: 539.0079, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8621, predictive_accuracy: 0.8507, prior_entropy: 0.9312, recall: 0.8507, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9551, kappa: 0.9008, kb_relative_information_score: 856.541, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9551, predictive_accuracy: 0.9551, prior_entropy: 0.9312, recall: 0.9551, relative_absolute_error: 0.1019, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.205, root_relative_squared_error: 0.4307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9394, kappa: 0.8659, kb_relative_information_score: 815.3659, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9393, predictive_accuracy: 0.9395, prior_entropy: 0.9312, recall: 0.9395, relative_absolute_error: 0.147, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.4565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9288, kappa: 0.8424, kb_relative_information_score: 768.1857, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9287, predictive_accuracy: 0.929, prior_entropy: 0.9312, recall: 0.929, relative_absolute_error: 0.2004, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.4746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9424, kappa: 0.8726, kb_relative_information_score: 815.9733, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9424, predictive_accuracy: 0.9426, prior_entropy: 0.9312, recall: 0.9426, relative_absolute_error: 0.1484, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9136, kappa: 0.8099, kb_relative_information_score: 727.4182, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9141, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.2435, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.5121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 121.1671, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8229, kappa: 0.6224, kb_relative_information_score: 490.1791, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8376, predictive_accuracy: 0.8194, prior_entropy: 0.9312, recall: 0.8194, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9424, kappa: 0.8726, kb_relative_information_score: 804.991, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9424, predictive_accuracy: 0.9426, prior_entropy: 0.9312, recall: 0.9426, relative_absolute_error: 0.1623, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.4444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.7144, kappa: 0.3542, kb_relative_information_score: 177.6564, mean_absolute_error: 0.3753, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7212, predictive_accuracy: 0.7307, prior_entropy: 0.9312, recall: 0.7307, relative_absolute_error: 0.8284, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.7177, kappa: 0.3621, kb_relative_information_score: 206.6018, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7221, predictive_accuracy: 0.7317, prior_entropy: 0.9312, recall: 0.7317, relative_absolute_error: 0.7904, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.7146, kappa: 0.3597, kb_relative_information_score: 196.9738, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7129, predictive_accuracy: 0.7213, prior_entropy: 0.9312, recall: 0.7213, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8531, kappa: 0.6836, kb_relative_information_score: 539.0079, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8621, predictive_accuracy: 0.8507, prior_entropy: 0.9312, recall: 0.8507, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8531, kappa: 0.6836, kb_relative_information_score: 539.0079, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8621, predictive_accuracy: 0.8507, prior_entropy: 0.9312, recall: 0.8507, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9394, kappa: 0.8659, kb_relative_information_score: 815.3659, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9393, predictive_accuracy: 0.9395, prior_entropy: 0.9312, recall: 0.9395, relative_absolute_error: 0.147, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.4565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.7064, kappa: 0.3374, kb_relative_information_score: 178.6374, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.708, predictive_accuracy: 0.7192, prior_entropy: 0.9312, recall: 0.7192, relative_absolute_error: 0.823, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.9185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 121.1671, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9189, kappa: 0.8196, kb_relative_information_score: 721.2691, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9194, predictive_accuracy: 0.9196, prior_entropy: 0.9312, recall: 0.9196, relative_absolute_error: 0.2535, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.5116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7089, f_measure: 0.753, kappa: 0.4457, kb_relative_information_score: 291.0844, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8268, predictive_accuracy: 0.7839, prior_entropy: 0.9312, recall: 0.7839, relative_absolute_error: 0.7147, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8229, kappa: 0.6224, kb_relative_information_score: 490.1791, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8376, predictive_accuracy: 0.8194, prior_entropy: 0.9312, recall: 0.8194, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8229, kappa: 0.6224, kb_relative_information_score: 490.1791, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8376, predictive_accuracy: 0.8194, prior_entropy: 0.9312, recall: 0.8194, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.7146, kappa: 0.3597, kb_relative_information_score: 196.9738, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7129, predictive_accuracy: 0.7213, prior_entropy: 0.9312, recall: 0.7213, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.7228, kappa: 0.3744, kb_relative_information_score: 239.689, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7579, predictive_accuracy: 0.7505, prior_entropy: 0.9312, recall: 0.7505, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.7146, kappa: 0.3597, kb_relative_information_score: 196.9738, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7129, predictive_accuracy: 0.7213, prior_entropy: 0.9312, recall: 0.7213, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8531, kappa: 0.6836, kb_relative_information_score: 539.0079, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8621, predictive_accuracy: 0.8507, prior_entropy: 0.9312, recall: 0.8507, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 121.1671, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7023, f_measure: 0.7097, kappa: 0.3482, kb_relative_information_score: 191.0913, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.708, predictive_accuracy: 0.7171, prior_entropy: 0.9312, recall: 0.7171, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.436, root_relative_squared_error: 0.9161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 121.1671, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 121.1671, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9001, kappa: 0.7764, kb_relative_information_score: 688.8741, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9026, predictive_accuracy: 0.9019, prior_entropy: 0.9312, recall: 0.9019, relative_absolute_error: 0.2834, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.5431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.7146, kappa: 0.3597, kb_relative_information_score: 196.9738, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7129, predictive_accuracy: 0.7213, prior_entropy: 0.9312, recall: 0.7213, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8229, kappa: 0.6224, kb_relative_information_score: 490.1791, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8376, predictive_accuracy: 0.8194, prior_entropy: 0.9312, recall: 0.8194, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9386, kappa: 0.8647, kb_relative_information_score: 806.5911, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9388, predictive_accuracy: 0.9384, prior_entropy: 0.9312, recall: 0.9384, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.7634, kappa: 0.4681, kb_relative_information_score: 336.3084, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7646, predictive_accuracy: 0.7704, prior_entropy: 0.9312, recall: 0.7704, relative_absolute_error: 0.6587, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.8252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9297, kappa: 0.8441, kb_relative_information_score: 755.5438, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9298, predictive_accuracy: 0.9301, prior_entropy: 0.9312, recall: 0.9301, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8531, kappa: 0.6836, kb_relative_information_score: 539.0079, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8621, predictive_accuracy: 0.8507, prior_entropy: 0.9312, recall: 0.8507, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7527, kappa: 0.4636, kb_relative_information_score: 318.589, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7591, predictive_accuracy: 0.7495, prior_entropy: 0.9312, recall: 0.7495, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.8188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.7146, kappa: 0.3597, kb_relative_information_score: 196.9738, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7129, predictive_accuracy: 0.7213, prior_entropy: 0.9312, recall: 0.7213, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9288, kappa: 0.8424, kb_relative_information_score: 767.2482, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9287, predictive_accuracy: 0.929, prior_entropy: 0.9312, recall: 0.929, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.226, root_relative_squared_error: 0.4749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.7604, kappa: 0.4599, kb_relative_information_score: 302.5773, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8133, predictive_accuracy: 0.786, prior_entropy: 0.9312, recall: 0.786, relative_absolute_error: 0.7014, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8531, kappa: 0.6836, kb_relative_information_score: 539.0079, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8621, predictive_accuracy: 0.8507, prior_entropy: 0.9312, recall: 0.8507, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, f_measure: 0.6957, kappa: 0.3269, kb_relative_information_score: 123.9052, mean_absolute_error: 0.399, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6952, predictive_accuracy: 0.6962, prior_entropy: 0.9312, recall: 0.6962, relative_absolute_error: 0.8808, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4484, root_relative_squared_error: 0.9422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.7146, kappa: 0.3597, kb_relative_information_score: 196.9738, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7129, predictive_accuracy: 0.7213, prior_entropy: 0.9312, recall: 0.7213, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8229, kappa: 0.6224, kb_relative_information_score: 490.1791, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8376, predictive_accuracy: 0.8194, prior_entropy: 0.9312, recall: 0.8194, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9288, kappa: 0.8424, kb_relative_information_score: 767.2482, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9287, predictive_accuracy: 0.929, prior_entropy: 0.9312, recall: 0.929, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.226, root_relative_squared_error: 0.4749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7024, f_measure: 0.7062, kappa: 0.3385, kb_relative_information_score: 185.5038, mean_absolute_error: 0.3685, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7055, predictive_accuracy: 0.7161, prior_entropy: 0.9312, recall: 0.7161, relative_absolute_error: 0.8135, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.7641, kappa: 0.4687, kb_relative_information_score: 321.7664, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8224, predictive_accuracy: 0.7902, prior_entropy: 0.9312, recall: 0.7902, relative_absolute_error: 0.6809, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9234, kappa: 0.8302, kb_relative_information_score: 743.3298, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9234, predictive_accuracy: 0.9238, prior_entropy: 0.9312, recall: 0.9238, relative_absolute_error: 0.2299, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.5004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8229, kappa: 0.6224, kb_relative_information_score: 490.1791, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8376, predictive_accuracy: 0.8194, prior_entropy: 0.9312, recall: 0.8194, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9386, kappa: 0.8647, kb_relative_information_score: 806.5911, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9388, predictive_accuracy: 0.9384, prior_entropy: 0.9312, recall: 0.9384, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8531, kappa: 0.6836, kb_relative_information_score: 539.0079, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8621, predictive_accuracy: 0.8507, prior_entropy: 0.9312, recall: 0.8507, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9348, kappa: 0.8553, kb_relative_information_score: 776.5496, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9351, predictive_accuracy: 0.9353, prior_entropy: 0.9312, recall: 0.9353, relative_absolute_error: 0.1946, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.4688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9135, kappa: 0.8091, kb_relative_information_score: 720.6119, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9136, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.5153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.7807, kappa: 0.5039, kb_relative_information_score: 367.7489, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8048, predictive_accuracy: 0.7965, prior_entropy: 0.9312, recall: 0.7965, relative_absolute_error: 0.6313, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.8122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8229, kappa: 0.6224, kb_relative_information_score: 490.1791, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8376, predictive_accuracy: 0.8194, prior_entropy: 0.9312, recall: 0.8194, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 121.1671, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.8259, kappa: 0.6187, kb_relative_information_score: 486.9402, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.828, predictive_accuracy: 0.8246, prior_entropy: 0.9312, recall: 0.8246, relative_absolute_error: 0.4922, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.7171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9297, kappa: 0.8441, kb_relative_information_score: 755.5438, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9298, predictive_accuracy: 0.9301, prior_entropy: 0.9312, recall: 0.9301, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9189, kappa: 0.8196, kb_relative_information_score: 721.2691, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9194, predictive_accuracy: 0.9196, prior_entropy: 0.9312, recall: 0.9196, relative_absolute_error: 0.2535, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.5116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.921, kappa: 0.8243, kb_relative_information_score: 727.6743, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9215, predictive_accuracy: 0.9217, prior_entropy: 0.9312, recall: 0.9217, relative_absolute_error: 0.2471, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.5061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 121.1671, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.8995, kappa: 0.7758, kb_relative_information_score: 694.6452, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9006, predictive_accuracy: 0.9008, prior_entropy: 0.9312, recall: 0.9008, relative_absolute_error: 0.2771, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.5408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8229, kappa: 0.6224, kb_relative_information_score: 490.1791, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8376, predictive_accuracy: 0.8194, prior_entropy: 0.9312, recall: 0.8194, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9297, kappa: 0.8441, kb_relative_information_score: 755.5438, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9298, predictive_accuracy: 0.9301, prior_entropy: 0.9312, recall: 0.9301, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8229, kappa: 0.6224, kb_relative_information_score: 490.1791, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8376, predictive_accuracy: 0.8194, prior_entropy: 0.9312, recall: 0.8194, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9297, kappa: 0.8441, kb_relative_information_score: 755.5438, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9298, predictive_accuracy: 0.9301, prior_entropy: 0.9312, recall: 0.9301, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7023, f_measure: 0.7097, kappa: 0.3482, kb_relative_information_score: 191.0913, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.708, predictive_accuracy: 0.7171, prior_entropy: 0.9312, recall: 0.7171, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.436, root_relative_squared_error: 0.9161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.9583, kappa: 0.9079, kb_relative_information_score: 865.5156, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9583, predictive_accuracy: 0.9582, prior_entropy: 0.9312, recall: 0.9582, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.4273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.7075, kappa: 0.3424, kb_relative_information_score: 171.515, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7062, predictive_accuracy: 0.7161, prior_entropy: 0.9312, recall: 0.7161, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.9175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9135, kappa: 0.8091, kb_relative_information_score: 720.6119, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9136, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.5153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8229, kappa: 0.6224, kb_relative_information_score: 490.1791, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8376, predictive_accuracy: 0.8194, prior_entropy: 0.9312, recall: 0.8194, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9138, kappa: 0.8086, kb_relative_information_score: 715.1713, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9139, predictive_accuracy: 0.9144, prior_entropy: 0.9312, recall: 0.9144, relative_absolute_error: 0.2583, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.5199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.682, f_measure: 0.7149, kappa: 0.3552, kb_relative_information_score: 179.8689, mean_absolute_error: 0.3745, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7226, predictive_accuracy: 0.7317, prior_entropy: 0.9312, recall: 0.7317, relative_absolute_error: 0.8266, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.9116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.952, kappa: 0.894, kb_relative_information_score: 841.0344, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.952, predictive_accuracy: 0.952, prior_entropy: 0.9312, recall: 0.952, relative_absolute_error: 0.1207, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.207, root_relative_squared_error: 0.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9136, kappa: 0.8099, kb_relative_information_score: 727.4182, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9141, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.2435, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.5121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9386, kappa: 0.8647, kb_relative_information_score: 806.5911, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9388, predictive_accuracy: 0.9384, prior_entropy: 0.9312, recall: 0.9384, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.952, kappa: 0.894, kb_relative_information_score: 841.0344, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.952, predictive_accuracy: 0.952, prior_entropy: 0.9312, recall: 0.952, relative_absolute_error: 0.1207, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.207, root_relative_squared_error: 0.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7023, f_measure: 0.7097, kappa: 0.3482, kb_relative_information_score: 191.0913, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.708, predictive_accuracy: 0.7171, prior_entropy: 0.9312, recall: 0.7171, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.436, root_relative_squared_error: 0.9161,

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

OpenML bootcamp

From your own software

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

OpenML APIs