Task
Supervised Classification on bodyfat

Supervised Classification on bodyfat

Task 3644 Supervised Classification bodyfat 559 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

559 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.9986, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.063, root_relative_squared_error: 0.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.9986, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.063, root_relative_squared_error: 0.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9643, kappa: 0.9285, kb_relative_information_score: 222.691, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9645, predictive_accuracy: 0.9643, prior_entropy: 0.9998, recall: 0.9643, relative_absolute_error: 0.1287, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.3182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9682, kappa: 0.9365, kb_relative_information_score: 235.9936, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9684, predictive_accuracy: 0.9683, prior_entropy: 0.9998, recall: 0.9683, relative_absolute_error: 0.0635, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.3564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9881, kappa: 0.9762, kb_relative_information_score: 211.8729, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 0.9998, recall: 0.9881, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9603, kappa: 0.9207, kb_relative_information_score: 205.5991, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9633, predictive_accuracy: 0.9603, prior_entropy: 0.9998, recall: 0.9603, relative_absolute_error: 0.2086, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.3668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 247.8479, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9922, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.1775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9762, kappa: 0.9524, kb_relative_information_score: 237.5021, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9763, predictive_accuracy: 0.9762, prior_entropy: 0.9998, recall: 0.9762, relative_absolute_error: 0.0605, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1479, root_relative_squared_error: 0.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.4924, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0105, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0476, root_relative_squared_error: 0.0952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 247.8479, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9922, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.1775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.9167, kappa: 0.8333, kb_relative_information_score: 206.3054, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9167, predictive_accuracy: 0.9167, prior_entropy: 0.9998, recall: 0.9167, relative_absolute_error: 0.1862, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.5558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.8809, kappa: 0.7618, kb_relative_information_score: 179.1842, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.881, predictive_accuracy: 0.881, prior_entropy: 0.9998, recall: 0.881, relative_absolute_error: 0.302, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.6662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.9986, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.063, root_relative_squared_error: 0.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9524, kappa: 0.9047, kb_relative_information_score: 224.2268, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9525, predictive_accuracy: 0.9524, prior_entropy: 0.9998, recall: 0.9524, relative_absolute_error: 0.114, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.3898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9881, kappa: 0.9762, kb_relative_information_score: 227.5864, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9884, predictive_accuracy: 0.9881, prior_entropy: 0.9998, recall: 0.9881, relative_absolute_error: 0.1128, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.2495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.9008, kappa: 0.8015, kb_relative_information_score: 190.4958, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9008, predictive_accuracy: 0.9008, prior_entropy: 0.9998, recall: 0.9008, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.5995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9563, kappa: 0.9126, kb_relative_information_score: 210.999, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.957, predictive_accuracy: 0.9563, prior_entropy: 0.9998, recall: 0.9563, relative_absolute_error: 0.177, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.3939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.813, kappa: 0.6276, kb_relative_information_score: 159.4453, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.8183, predictive_accuracy: 0.8135, prior_entropy: 0.9998, recall: 0.8135, relative_absolute_error: 0.3649, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.8808, kappa: 0.7617, kb_relative_information_score: 171.184, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.8817, predictive_accuracy: 0.881, prior_entropy: 0.9998, recall: 0.881, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.5534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9285, kappa: 0.857, kb_relative_information_score: 217.2039, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9302, predictive_accuracy: 0.9286, prior_entropy: 0.9998, recall: 0.9286, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.4485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.5246, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0103, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0646, root_relative_squared_error: 0.1291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 209.0255, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.2124, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.2899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.484, f_measure: 0.3422, kb_relative_information_score: -0.0405, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.258, predictive_accuracy: 0.5079, prior_entropy: 0.9998, recall: 0.5079, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9126, kappa: 0.8252, kb_relative_information_score: 196.5466, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9143, predictive_accuracy: 0.9127, prior_entropy: 0.9998, recall: 0.9127, relative_absolute_error: 0.2284, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.4982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9006, kappa: 0.8013, kb_relative_information_score: 182.9679, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9027, predictive_accuracy: 0.9008, prior_entropy: 0.9998, recall: 0.9008, relative_absolute_error: 0.2886, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2774, root_relative_squared_error: 0.5549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9802, kappa: 0.9603, kb_relative_information_score: 239.2076, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9802, predictive_accuracy: 0.9802, prior_entropy: 0.9998, recall: 0.9802, relative_absolute_error: 0.0541, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.2183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.9986, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.063, root_relative_squared_error: 0.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.7812, kappa: 0.5642, kb_relative_information_score: 146.0512, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.7862, predictive_accuracy: 0.7817, prior_entropy: 0.9998, recall: 0.7817, relative_absolute_error: 0.4181, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.8676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9484, kappa: 0.8967, kb_relative_information_score: 221.6706, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9491, predictive_accuracy: 0.9484, prior_entropy: 0.9998, recall: 0.9484, relative_absolute_error: 0.125, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.203, root_relative_squared_error: 0.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8131, kappa: 0.6275, kb_relative_information_score: 161.1944, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.8172, predictive_accuracy: 0.8135, prior_entropy: 0.9998, recall: 0.8135, relative_absolute_error: 0.3578, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.7749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.9523, kappa: 0.9046, kb_relative_information_score: 227.9907, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9552, predictive_accuracy: 0.9524, prior_entropy: 0.9998, recall: 0.9524, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.9986, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.063, root_relative_squared_error: 0.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.8094, kappa: 0.6188, kb_relative_information_score: 155.6899, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.8097, predictive_accuracy: 0.8095, prior_entropy: 0.9998, recall: 0.8095, relative_absolute_error: 0.3832, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9562, kappa: 0.9126, kb_relative_information_score: 229.9914, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9598, predictive_accuracy: 0.9563, prior_entropy: 0.9998, recall: 0.9563, relative_absolute_error: 0.0873, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.4179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 224.0111, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.1378, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.2337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.7771, kappa: 0.5563, kb_relative_information_score: 148.7156, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.7828, predictive_accuracy: 0.7778, prior_entropy: 0.9998, recall: 0.7778, relative_absolute_error: 0.4068, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.9563, kappa: 0.9126, kb_relative_information_score: 229.9914, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9586, predictive_accuracy: 0.9563, prior_entropy: 0.9998, recall: 0.9563, relative_absolute_error: 0.0873, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.4179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.9986, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.063, root_relative_squared_error: 0.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.7771, kappa: 0.5563, kb_relative_information_score: 145.9241, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.7828, predictive_accuracy: 0.7778, prior_entropy: 0.9998, recall: 0.7778, relative_absolute_error: 0.4186, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, f_measure: 0.5958, kappa: 0.2029, kb_relative_information_score: 0.3597, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.6086, predictive_accuracy: 0.6032, prior_entropy: 0.9998, recall: 0.6032, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9802, kappa: 0.9603, kb_relative_information_score: 208.3057, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9804, predictive_accuracy: 0.9802, prior_entropy: 0.9998, recall: 0.9802, relative_absolute_error: 0.2024, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.3425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.9986, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.063, root_relative_squared_error: 0.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9881, kappa: 0.9762, kb_relative_information_score: 245.9971, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9884, predictive_accuracy: 0.9881, prior_entropy: 0.9998, recall: 0.9881, relative_absolute_error: 0.0238, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.2182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 247.9979, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0159, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.1782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 247.9979, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9922, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0159, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.1782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 247.9979, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0159, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.1782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7387, f_measure: 0.7378, kappa: 0.4767, kb_relative_information_score: 119.952, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.7399, predictive_accuracy: 0.7381, prior_entropy: 0.9998, recall: 0.7381, relative_absolute_error: 0.5239, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5118, root_relative_squared_error: 1.0237, scimark_benchmark: 1631.1992, usercpu_time_millis: 10562.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 10546.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3422, kb_relative_information_score: 3.9105, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.258, predictive_accuracy: 0.5079, prior_entropy: 0.9998, recall: 0.5079, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7015, root_relative_squared_error: 1.4031, scimark_benchmark: 1697.6783, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5993, f_measure: 0.5775, kappa: 0.2001, kb_relative_information_score: 51.9277, mean_absolute_error: 0.3968, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.6301, predictive_accuracy: 0.6032, prior_entropy: 0.9998, recall: 0.6032, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6299, root_relative_squared_error: 1.26, scimark_benchmark: 1862.8608, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3422, kb_relative_information_score: 3.9105, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.258, predictive_accuracy: 0.5079, prior_entropy: 0.9998, recall: 0.5079, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7015, root_relative_squared_error: 1.4031, scimark_benchmark: 1666.6953, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5993, f_measure: 0.5775, kappa: 0.2001, kb_relative_information_score: 51.9277, mean_absolute_error: 0.3968, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.6301, predictive_accuracy: 0.6032, prior_entropy: 0.9998, recall: 0.6032, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6299, root_relative_squared_error: 1.26, scimark_benchmark: 1630.7137, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7387, f_measure: 0.7378, kappa: 0.4767, kb_relative_information_score: 119.952, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.7399, predictive_accuracy: 0.7381, prior_entropy: 0.9998, recall: 0.7381, relative_absolute_error: 0.5239, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5118, root_relative_squared_error: 1.0237, scimark_benchmark: 1392.065, usercpu_time_millis: 9590, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 9570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9802, kappa: 0.9603, kb_relative_information_score: 241.9872, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9802, predictive_accuracy: 0.9802, prior_entropy: 0.9998, recall: 0.9802, relative_absolute_error: 0.04, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.2448, scimark_benchmark: 1908.2191, usercpu_time_millis: 890.625, usercpu_time_millis_training: 890.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9841, kappa: 0.9682, kb_relative_information_score: 239.5379, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9841, predictive_accuracy: 0.9841, prior_entropy: 0.9998, recall: 0.9841, relative_absolute_error: 0.0537, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.2209, scimark_benchmark: 1908.2191, usercpu_time_millis: 859.375, usercpu_time_millis_training: 859.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.8175, kappa: 0.635, kb_relative_information_score: 159.9664, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.8179, predictive_accuracy: 0.8175, prior_entropy: 0.9998, recall: 0.8175, relative_absolute_error: 0.3652, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8546, scimark_benchmark: 1827.4462, usercpu_time_millis: 156.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9802, kappa: 0.9603, kb_relative_information_score: 241.6667, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9802, predictive_accuracy: 0.9802, prior_entropy: 0.9998, recall: 0.9802, relative_absolute_error: 0.0423, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.2265, scimark_benchmark: 1386.3932, usercpu_time_millis: 470, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9881, kappa: 0.9762, kb_relative_information_score: 230.7345, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 0.9998, recall: 0.9881, relative_absolute_error: 0.0976, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.2468, scimark_benchmark: 1293.3306, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.7771, kappa: 0.5563, kb_relative_information_score: 145.9241, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.7828, predictive_accuracy: 0.7778, prior_entropy: 0.9998, recall: 0.7778, relative_absolute_error: 0.4186, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8679, scimark_benchmark: 1254.4967, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9802, kappa: 0.9603, kb_relative_information_score: 241.2351, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9802, predictive_accuracy: 0.9802, prior_entropy: 0.9998, recall: 0.9802, relative_absolute_error: 0.0446, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.2267, scimark_benchmark: 1140.3853, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.9363, kappa: 0.8728, kb_relative_information_score: 219.9878, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9404, predictive_accuracy: 0.9365, prior_entropy: 0.9998, recall: 0.9365, relative_absolute_error: 0.127, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.252, root_relative_squared_error: 0.504, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.9483, kappa: 0.8967, kb_relative_information_score: 225.99, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9507, predictive_accuracy: 0.9484, prior_entropy: 0.9998, recall: 0.9484, relative_absolute_error: 0.1032, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.4543, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9643, kappa: 0.9285, kb_relative_information_score: 233.717, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 0.9998, recall: 0.9643, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.3786, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.8492, kappa: 0.6986, kb_relative_information_score: 174.8595, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.8501, predictive_accuracy: 0.8492, prior_entropy: 0.9998, recall: 0.8492, relative_absolute_error: 0.3078, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.7734, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.9986, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.063, root_relative_squared_error: 0.126, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.9986, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.063, root_relative_squared_error: 0.126, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 247.673, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0177, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.1783, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 226.7273, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.2264, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.9167, kappa: 0.8333, kb_relative_information_score: 206.3054, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9167, predictive_accuracy: 0.9167, prior_entropy: 0.9998, recall: 0.9167, relative_absolute_error: 0.1862, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.5558, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.9986, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.063, root_relative_squared_error: 0.126, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.7771, kappa: 0.5563, kb_relative_information_score: 145.9241, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.7828, predictive_accuracy: 0.7778, prior_entropy: 0.9998, recall: 0.7778, relative_absolute_error: 0.4186, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8679, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.9363, kappa: 0.8728, kb_relative_information_score: 219.9878, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9404, predictive_accuracy: 0.9365, prior_entropy: 0.9998, recall: 0.9365, relative_absolute_error: 0.127, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.252, root_relative_squared_error: 0.504, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.9483, kappa: 0.8967, kb_relative_information_score: 225.99, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9507, predictive_accuracy: 0.9484, prior_entropy: 0.9998, recall: 0.9484, relative_absolute_error: 0.1032, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.4543, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9802, kappa: 0.9603, kb_relative_information_score: 241.2306, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9802, predictive_accuracy: 0.9802, prior_entropy: 0.9998, recall: 0.9802, relative_absolute_error: 0.0446, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.2267, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9643, kappa: 0.9285, kb_relative_information_score: 233.717, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 0.9998, recall: 0.9643, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.3786, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.8492, kappa: 0.6986, kb_relative_information_score: 174.8595, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.8501, predictive_accuracy: 0.8492, prior_entropy: 0.9998, recall: 0.8492, relative_absolute_error: 0.3078, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.7734, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.9986, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.063, root_relative_squared_error: 0.126, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.8362, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0088, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.063, root_relative_squared_error: 0.1261, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 247.673, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0177, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.1783, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 227.9205, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.1192, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.2185, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.9167, kappa: 0.8333, kb_relative_information_score: 206.3054, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9167, predictive_accuracy: 0.9167, prior_entropy: 0.9998, recall: 0.9167, relative_absolute_error: 0.1862, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.5558, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.9986, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.063, root_relative_squared_error: 0.126, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9643, kappa: 0.9285, kb_relative_information_score: 233.717, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 0.9998, recall: 0.9643, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.3786, scimark_benchmark: 1327.5254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.9986, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.063, root_relative_squared_error: 0.126, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9802, kappa: 0.9603, kb_relative_information_score: 241.2343, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9802, predictive_accuracy: 0.9802, prior_entropy: 0.9998, recall: 0.9802, relative_absolute_error: 0.0446, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.2266, scimark_benchmark: 1788.6668, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.9986, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.063, root_relative_squared_error: 0.126, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.9986, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.063, root_relative_squared_error: 0.126, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 245.0677, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.1474, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9881, kappa: 0.9762, kb_relative_information_score: 247.2274, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 0.9998, recall: 0.9881, relative_absolute_error: 0.0189, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.1647, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.9523, kappa: 0.9046, kb_relative_information_score: 227.9907, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9552, predictive_accuracy: 0.9524, prior_entropy: 0.9998, recall: 0.9524, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4365, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.9363, kappa: 0.8728, kb_relative_information_score: 219.9878, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9404, predictive_accuracy: 0.9365, prior_entropy: 0.9998, recall: 0.9365, relative_absolute_error: 0.127, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.252, root_relative_squared_error: 0.504, scimark_benchmark: 1343.1815, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9643, kappa: 0.9285, kb_relative_information_score: 233.717, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 0.9998, recall: 0.9643, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.3786, scimark_benchmark: 1158.4407, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 247.8479, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9922, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.1775, scimark_benchmark: 934.4351, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9722, kappa: 0.9444, kb_relative_information_score: 231.9248, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9723, predictive_accuracy: 0.9722, prior_entropy: 0.9998, recall: 0.9722, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1392, root_relative_squared_error: 0.2784, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9722, kappa: 0.9444, kb_relative_information_score: 236.2426, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9723, predictive_accuracy: 0.9722, prior_entropy: 0.9998, recall: 0.9722, relative_absolute_error: 0.0637, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.3145, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8483, kappa: 0.6992, kb_relative_information_score: 185.3841, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.8606, predictive_accuracy: 0.8492, prior_entropy: 0.9998, recall: 0.8492, relative_absolute_error: 0.2652, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.597, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8849, kappa: 0.7698, kb_relative_information_score: 156.5995, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.885, predictive_accuracy: 0.8849, prior_entropy: 0.9998, recall: 0.8849, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.5928, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9762, kappa: 0.9524, kb_relative_information_score: 235.3224, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9763, predictive_accuracy: 0.9762, prior_entropy: 0.9998, recall: 0.9762, relative_absolute_error: 0.0699, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.2794, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.8928, kappa: 0.7855, kb_relative_information_score: 168.3924, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.8934, predictive_accuracy: 0.8929, prior_entropy: 0.9998, recall: 0.8929, relative_absolute_error: 0.352, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.5883, scimark_benchmark: 1873.1108,

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