Task
Supervised Classification on texture

Supervised Classification on texture

Task 125922 Supervised Classification texture 14509 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_98 study_99
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14509 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.8951, kappa: 0.8844, kb_relative_information_score: 4901.4917, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8955, predictive_accuracy: 0.8949, prior_entropy: 3.4594, recall: 0.8949, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.4199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9272, kappa: 0.92, kb_relative_information_score: 5109.3058, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9272, predictive_accuracy: 0.9273, prior_entropy: 3.4594, recall: 0.9273, relative_absolute_error: 0.0908, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1052, root_relative_squared_error: 0.3658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.8948, kappa: 0.8842, kb_relative_information_score: 4931.5851, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8952, predictive_accuracy: 0.8947, prior_entropy: 3.4594, recall: 0.8947, relative_absolute_error: 0.1441, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8936, kappa: 0.883, kb_relative_information_score: 4941.488, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8939, predictive_accuracy: 0.8936, prior_entropy: 3.4594, recall: 0.8936, relative_absolute_error: 0.1435, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.119, root_relative_squared_error: 0.4141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9102, kappa: 0.901, kb_relative_information_score: 5015.3197, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9107, predictive_accuracy: 0.91, prior_entropy: 3.4594, recall: 0.91, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1126, root_relative_squared_error: 0.3916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9285, kappa: 0.9214, kb_relative_information_score: 5119.1251, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9285, predictive_accuracy: 0.9285, prior_entropy: 3.4594, recall: 0.9285, relative_absolute_error: 0.0879, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1045, root_relative_squared_error: 0.3636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9142, kappa: 0.9056, kb_relative_information_score: 5045.5949, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9143, predictive_accuracy: 0.9142, prior_entropy: 3.4594, recall: 0.9142, relative_absolute_error: 0.1095, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.11, root_relative_squared_error: 0.3827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9164, kappa: 0.9078, kb_relative_information_score: 5058.4123, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9168, predictive_accuracy: 0.9162, prior_entropy: 3.4594, recall: 0.9162, relative_absolute_error: 0.103, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.3842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9137, kappa: 0.9048, kb_relative_information_score: 5051.4925, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9141, predictive_accuracy: 0.9135, prior_entropy: 3.4594, recall: 0.9135, relative_absolute_error: 0.1071, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.8939, kappa: 0.8832, kb_relative_information_score: 4934.6289, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8943, predictive_accuracy: 0.8938, prior_entropy: 3.4594, recall: 0.8938, relative_absolute_error: 0.1422, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.915, kappa: 0.9064, kb_relative_information_score: 5051.5473, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9152, predictive_accuracy: 0.9149, prior_entropy: 3.4594, recall: 0.9149, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1125, root_relative_squared_error: 0.3913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9153, kappa: 0.9068, kb_relative_information_score: 5056.0813, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9154, predictive_accuracy: 0.9153, prior_entropy: 3.4594, recall: 0.9153, relative_absolute_error: 0.0991, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.3922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.8949, kappa: 0.8842, kb_relative_information_score: 4899.8426, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8953, predictive_accuracy: 0.8947, prior_entropy: 3.4594, recall: 0.8947, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.4206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9249, kappa: 0.9172, kb_relative_information_score: 5085.5105, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9251, predictive_accuracy: 0.9247, prior_entropy: 3.4594, recall: 0.9247, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.3907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9304, kappa: 0.9236, kb_relative_information_score: 5127.9795, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9306, predictive_accuracy: 0.9305, prior_entropy: 3.4594, recall: 0.9305, relative_absolute_error: 0.0828, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.3642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.8949, kappa: 0.8842, kb_relative_information_score: 4931.8782, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8953, predictive_accuracy: 0.8947, prior_entropy: 3.4594, recall: 0.8947, relative_absolute_error: 0.1442, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9124, kappa: 0.9034, kb_relative_information_score: 5042.7261, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9127, predictive_accuracy: 0.9122, prior_entropy: 3.4594, recall: 0.9122, relative_absolute_error: 0.1115, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9063, kappa: 0.897, kb_relative_information_score: 5020.9104, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9063, predictive_accuracy: 0.9064, prior_entropy: 3.4594, recall: 0.9064, relative_absolute_error: 0.1204, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1124, root_relative_squared_error: 0.3909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9355, kappa: 0.929, kb_relative_information_score: 5143.8115, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9356, predictive_accuracy: 0.9355, prior_entropy: 3.4594, recall: 0.9355, relative_absolute_error: 0.0785, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.3564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9219, kappa: 0.914, kb_relative_information_score: 5100.3128, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9222, predictive_accuracy: 0.9218, prior_entropy: 3.4594, recall: 0.9218, relative_absolute_error: 0.088, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.3782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.8945, kappa: 0.8838, kb_relative_information_score: 4949.6739, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.895, predictive_accuracy: 0.8944, prior_entropy: 3.4594, recall: 0.8944, relative_absolute_error: 0.1383, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9213, kappa: 0.9136, kb_relative_information_score: 5089.1354, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9215, predictive_accuracy: 0.9215, prior_entropy: 3.4594, recall: 0.9215, relative_absolute_error: 0.0993, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.3705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9022, kappa: 0.8924, kb_relative_information_score: 4981.2163, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9024, predictive_accuracy: 0.9022, prior_entropy: 3.4594, recall: 0.9022, relative_absolute_error: 0.1295, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.115, root_relative_squared_error: 0.3999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9073, kappa: 0.898, kb_relative_information_score: 4994.1433, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9074, predictive_accuracy: 0.9073, prior_entropy: 3.4594, recall: 0.9073, relative_absolute_error: 0.1254, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.9355, kappa: 0.929, kb_relative_information_score: 5130.8897, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9356, predictive_accuracy: 0.9355, prior_entropy: 3.4594, recall: 0.9355, relative_absolute_error: 0.071, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.3768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9026, kappa: 0.8928, kb_relative_information_score: 4984.2738, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9029, predictive_accuracy: 0.9025, prior_entropy: 3.4594, recall: 0.9025, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.3981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9071, kappa: 0.8976, kb_relative_information_score: 5007.4269, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9075, predictive_accuracy: 0.9069, prior_entropy: 3.4594, recall: 0.9069, relative_absolute_error: 0.1202, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.3936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9098, kappa: 0.901, kb_relative_information_score: 5037.5382, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9097, predictive_accuracy: 0.91, prior_entropy: 3.4594, recall: 0.91, relative_absolute_error: 0.1148, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.3853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9286, kappa: 0.9216, kb_relative_information_score: 5120.0951, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9289, predictive_accuracy: 0.9287, prior_entropy: 3.4594, recall: 0.9287, relative_absolute_error: 0.0853, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1053, root_relative_squared_error: 0.3664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9287, kappa: 0.9216, kb_relative_information_score: 5113.4394, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9289, predictive_accuracy: 0.9287, prior_entropy: 3.4594, recall: 0.9287, relative_absolute_error: 0.0858, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.3704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8945, kappa: 0.8838, kb_relative_information_score: 4926.2033, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8948, predictive_accuracy: 0.8944, prior_entropy: 3.4594, recall: 0.8944, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.4159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9166, kappa: 0.9084, kb_relative_information_score: 5060.4797, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9166, predictive_accuracy: 0.9167, prior_entropy: 3.4594, recall: 0.9167, relative_absolute_error: 0.1063, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.3799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8965, kappa: 0.886, kb_relative_information_score: 4911.794, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8968, predictive_accuracy: 0.8964, prior_entropy: 3.4594, recall: 0.8964, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.4181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.8939, kappa: 0.8832, kb_relative_information_score: 4941.718, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8945, predictive_accuracy: 0.8938, prior_entropy: 3.4594, recall: 0.8938, relative_absolute_error: 0.1398, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.4121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9083, kappa: 0.899, kb_relative_information_score: 5004.5986, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9086, predictive_accuracy: 0.9082, prior_entropy: 3.4594, recall: 0.9082, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.3936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9313, kappa: 0.9244, kb_relative_information_score: 5120.7922, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9315, predictive_accuracy: 0.9313, prior_entropy: 3.4594, recall: 0.9313, relative_absolute_error: 0.0859, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.3637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9133, kappa: 0.9048, kb_relative_information_score: 5056.1233, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9132, predictive_accuracy: 0.9135, prior_entropy: 3.4594, recall: 0.9135, relative_absolute_error: 0.1089, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.3794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.903, kappa: 0.8932, kb_relative_information_score: 4983.8909, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9032, predictive_accuracy: 0.9029, prior_entropy: 3.4594, recall: 0.9029, relative_absolute_error: 0.1283, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1146, root_relative_squared_error: 0.3988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8956, kappa: 0.8852, kb_relative_information_score: 4954.7315, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8961, predictive_accuracy: 0.8956, prior_entropy: 3.4594, recall: 0.8956, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.118, root_relative_squared_error: 0.4104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9139, kappa: 0.9052, kb_relative_information_score: 5046.3799, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9142, predictive_accuracy: 0.9138, prior_entropy: 3.4594, recall: 0.9138, relative_absolute_error: 0.1101, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1097, root_relative_squared_error: 0.3817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.91, kappa: 0.9012, kb_relative_information_score: 5036.5017, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9099, predictive_accuracy: 0.9102, prior_entropy: 3.4594, recall: 0.9102, relative_absolute_error: 0.1145, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.3857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.917, kappa: 0.9088, kb_relative_information_score: 5061.4085, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.917, predictive_accuracy: 0.9171, prior_entropy: 3.4594, recall: 0.9171, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9072, kappa: 0.898, kb_relative_information_score: 5025.1499, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9072, predictive_accuracy: 0.9073, prior_entropy: 3.4594, recall: 0.9073, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.3907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9135, kappa: 0.9048, kb_relative_information_score: 5044.75, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9137, predictive_accuracy: 0.9135, prior_entropy: 3.4594, recall: 0.9135, relative_absolute_error: 0.1107, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1101, root_relative_squared_error: 0.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9327, kappa: 0.926, kb_relative_information_score: 5129.5892, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9329, predictive_accuracy: 0.9327, prior_entropy: 3.4594, recall: 0.9327, relative_absolute_error: 0.0843, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1032, root_relative_squared_error: 0.3591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.8947, kappa: 0.884, kb_relative_information_score: 4899.0135, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8951, predictive_accuracy: 0.8945, prior_entropy: 3.4594, recall: 0.8945, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1208, root_relative_squared_error: 0.4204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8996, kappa: 0.8894, kb_relative_information_score: 4962.5585, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8999, predictive_accuracy: 0.8995, prior_entropy: 3.4594, recall: 0.8995, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.4051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.908, kappa: 0.8986, kb_relative_information_score: 5014.1279, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9083, predictive_accuracy: 0.9078, prior_entropy: 3.4594, recall: 0.9078, relative_absolute_error: 0.1186, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.3908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9028, kappa: 0.893, kb_relative_information_score: 4982.6787, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.903, predictive_accuracy: 0.9027, prior_entropy: 3.4594, recall: 0.9027, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1146, root_relative_squared_error: 0.3988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9289, kappa: 0.9218, kb_relative_information_score: 5117.863, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.929, predictive_accuracy: 0.9289, prior_entropy: 3.4594, recall: 0.9289, relative_absolute_error: 0.0873, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.105, root_relative_squared_error: 0.3652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9132, kappa: 0.9042, kb_relative_information_score: 5043.513, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9136, predictive_accuracy: 0.9129, prior_entropy: 3.4594, recall: 0.9129, relative_absolute_error: 0.1114, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8947, kappa: 0.884, kb_relative_information_score: 4938.1033, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8953, predictive_accuracy: 0.8945, prior_entropy: 3.4594, recall: 0.8945, relative_absolute_error: 0.1414, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.4121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.934, kappa: 0.9274, kb_relative_information_score: 5134.844, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9342, predictive_accuracy: 0.934, prior_entropy: 3.4594, recall: 0.934, relative_absolute_error: 0.081, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1035, root_relative_squared_error: 0.3601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8963, kappa: 0.8858, kb_relative_information_score: 4912.108, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8966, predictive_accuracy: 0.8962, prior_entropy: 3.4594, recall: 0.8962, relative_absolute_error: 0.1499, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.4186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9306, kappa: 0.9236, kb_relative_information_score: 5113.0627, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9308, predictive_accuracy: 0.9305, prior_entropy: 3.4594, recall: 0.9305, relative_absolute_error: 0.0875, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.3675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.908, kappa: 0.8986, kb_relative_information_score: 5004.4213, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9082, predictive_accuracy: 0.9078, prior_entropy: 3.4594, recall: 0.9078, relative_absolute_error: 0.1223, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.3927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.915, kappa: 0.9062, kb_relative_information_score: 5063.2013, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9156, predictive_accuracy: 0.9147, prior_entropy: 3.4594, recall: 0.9147, relative_absolute_error: 0.1046, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.3784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9217, kappa: 0.914, kb_relative_information_score: 5094.4212, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9217, predictive_accuracy: 0.9218, prior_entropy: 3.4594, recall: 0.9218, relative_absolute_error: 0.0934, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1078, root_relative_squared_error: 0.3749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8994, kappa: 0.8894, kb_relative_information_score: 4976.5355, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8995, predictive_accuracy: 0.8995, prior_entropy: 3.4594, recall: 0.8995, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.4037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9035, kappa: 0.8938, kb_relative_information_score: 5016.001, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9037, predictive_accuracy: 0.9035, prior_entropy: 3.4594, recall: 0.9035, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.3928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.8953, kappa: 0.8848, kb_relative_information_score: 4956.6398, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8959, predictive_accuracy: 0.8953, prior_entropy: 3.4594, recall: 0.8953, relative_absolute_error: 0.1391, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1177, root_relative_squared_error: 0.4095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9052, kappa: 0.8956, kb_relative_information_score: 5017.8946, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9053, predictive_accuracy: 0.9051, prior_entropy: 3.4594, recall: 0.9051, relative_absolute_error: 0.1213, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1126, root_relative_squared_error: 0.3917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.911, kappa: 0.9018, kb_relative_information_score: 5039.2329, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9115, predictive_accuracy: 0.9107, prior_entropy: 3.4594, recall: 0.9107, relative_absolute_error: 0.1116, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.913, kappa: 0.9046, kb_relative_information_score: 5056.4377, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9129, predictive_accuracy: 0.9133, prior_entropy: 3.4594, recall: 0.9133, relative_absolute_error: 0.1095, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.3788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9251, kappa: 0.9176, kb_relative_information_score: 5101.1251, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9252, predictive_accuracy: 0.9251, prior_entropy: 3.4594, recall: 0.9251, relative_absolute_error: 0.0938, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.106, root_relative_squared_error: 0.3686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9251, kappa: 0.9176, kb_relative_information_score: 5094.7754, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9251, predictive_accuracy: 0.9251, prior_entropy: 3.4594, recall: 0.9251, relative_absolute_error: 0.0905, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.3784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.8942, kappa: 0.8834, kb_relative_information_score: 4936.2617, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8947, predictive_accuracy: 0.894, prior_entropy: 3.4594, recall: 0.894, relative_absolute_error: 0.1418, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.4127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9079, kappa: 0.8986, kb_relative_information_score: 5003.4121, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9082, predictive_accuracy: 0.9078, prior_entropy: 3.4594, recall: 0.9078, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.3946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9332, kappa: 0.9264, kb_relative_information_score: 5137.6923, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9334, predictive_accuracy: 0.9331, prior_entropy: 3.4594, recall: 0.9331, relative_absolute_error: 0.0742, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.3683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9031, kappa: 0.8934, kb_relative_information_score: 4984.8368, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9034, predictive_accuracy: 0.9031, prior_entropy: 3.4594, recall: 0.9031, relative_absolute_error: 0.1287, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.3973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.8983, kappa: 0.8882, kb_relative_information_score: 4968.9619, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8986, predictive_accuracy: 0.8984, prior_entropy: 3.4594, recall: 0.8984, relative_absolute_error: 0.1364, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1163, root_relative_squared_error: 0.4047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9353, kappa: 0.9288, kb_relative_information_score: 5149.5581, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9355, predictive_accuracy: 0.9353, prior_entropy: 3.4594, recall: 0.9353, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1013, root_relative_squared_error: 0.3522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9055, kappa: 0.896, kb_relative_information_score: 5010.653, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9056, predictive_accuracy: 0.9055, prior_entropy: 3.4594, recall: 0.9055, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.3933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.906, kappa: 0.8966, kb_relative_information_score: 5011.8854, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9062, predictive_accuracy: 0.906, prior_entropy: 3.4594, recall: 0.906, relative_absolute_error: 0.1237, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.3929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.8957, kappa: 0.8852, kb_relative_information_score: 4954.5446, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8962, predictive_accuracy: 0.8956, prior_entropy: 3.4594, recall: 0.8956, relative_absolute_error: 0.1398, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.4099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8961, kappa: 0.8854, kb_relative_information_score: 4917.15, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8966, predictive_accuracy: 0.8958, prior_entropy: 3.4594, recall: 0.8958, relative_absolute_error: 0.1479, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9173, kappa: 0.9092, kb_relative_information_score: 5063.7057, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9173, predictive_accuracy: 0.9175, prior_entropy: 3.4594, recall: 0.9175, relative_absolute_error: 0.106, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.109, root_relative_squared_error: 0.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.8955, kappa: 0.8848, kb_relative_information_score: 4907.8747, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8959, predictive_accuracy: 0.8953, prior_entropy: 3.4594, recall: 0.8953, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.4185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8955, kappa: 0.885, kb_relative_information_score: 4955.5802, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.896, predictive_accuracy: 0.8955, prior_entropy: 3.4594, recall: 0.8955, relative_absolute_error: 0.1392, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.4102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9075, kappa: 0.898, kb_relative_information_score: 5009.0564, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9078, predictive_accuracy: 0.9073, prior_entropy: 3.4594, recall: 0.9073, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.3924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9195, kappa: 0.9116, kb_relative_information_score: 5073.7626, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9196, predictive_accuracy: 0.9196, prior_entropy: 3.4594, recall: 0.9196, relative_absolute_error: 0.1021, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.3778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8943, kappa: 0.8836, kb_relative_information_score: 4927.4222, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8947, predictive_accuracy: 0.8942, prior_entropy: 3.4594, recall: 0.8942, relative_absolute_error: 0.1455, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1193, root_relative_squared_error: 0.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9115, kappa: 0.9024, kb_relative_information_score: 5042.9351, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9119, predictive_accuracy: 0.9113, prior_entropy: 3.4594, recall: 0.9113, relative_absolute_error: 0.111, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.8996, kappa: 0.8894, kb_relative_information_score: 4982.07, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8997, predictive_accuracy: 0.8995, prior_entropy: 3.4594, recall: 0.8995, relative_absolute_error: 0.1315, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9275, kappa: 0.9204, kb_relative_information_score: 5110.9423, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9276, predictive_accuracy: 0.9276, prior_entropy: 3.4594, recall: 0.9276, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1052, root_relative_squared_error: 0.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9054, kappa: 0.896, kb_relative_information_score: 5019.3363, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9055, predictive_accuracy: 0.9055, prior_entropy: 3.4594, recall: 0.9055, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1125, root_relative_squared_error: 0.3915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9078, kappa: 0.8984, kb_relative_information_score: 5003.0894, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.908, predictive_accuracy: 0.9076, prior_entropy: 3.4594, recall: 0.9076, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.3946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9005, kappa: 0.8904, kb_relative_information_score: 4984.9587, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9006, predictive_accuracy: 0.9004, prior_entropy: 3.4594, recall: 0.9004, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9257, kappa: 0.9182, kb_relative_information_score: 5105.5548, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9258, predictive_accuracy: 0.9256, prior_entropy: 3.4594, recall: 0.9256, relative_absolute_error: 0.0918, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.3678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8989, kappa: 0.8886, kb_relative_information_score: 4959.8499, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8992, predictive_accuracy: 0.8987, prior_entropy: 3.4594, recall: 0.8987, relative_absolute_error: 0.1353, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1166, root_relative_squared_error: 0.4058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9051, kappa: 0.8956, kb_relative_information_score: 5016.921, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9051, predictive_accuracy: 0.9051, prior_entropy: 3.4594, recall: 0.9051, relative_absolute_error: 0.1218, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.3924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.8943, kappa: 0.8836, kb_relative_information_score: 4895.6662, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8947, predictive_accuracy: 0.8942, prior_entropy: 3.4594, recall: 0.8942, relative_absolute_error: 0.1544, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.4217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.8949, kappa: 0.8842, kb_relative_information_score: 4900.1903, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8953, predictive_accuracy: 0.8947, prior_entropy: 3.4594, recall: 0.8947, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1208, root_relative_squared_error: 0.4202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9158, kappa: 0.9072, kb_relative_information_score: 5060.3641, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9162, predictive_accuracy: 0.9156, prior_entropy: 3.4594, recall: 0.9156, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.3802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9126, kappa: 0.9042, kb_relative_information_score: 5053.317, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9125, predictive_accuracy: 0.9129, prior_entropy: 3.4594, recall: 0.9129, relative_absolute_error: 0.1094, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.3802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9173, kappa: 0.9092, kb_relative_information_score: 5065.9585, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9173, predictive_accuracy: 0.9175, prior_entropy: 3.4594, recall: 0.9175, relative_absolute_error: 0.1058, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9098, kappa: 0.9006, kb_relative_information_score: 5024.2665, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9102, predictive_accuracy: 0.9096, prior_entropy: 3.4594, recall: 0.9096, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9024, kappa: 0.8926, kb_relative_information_score: 4996.0113, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9026, predictive_accuracy: 0.9024, prior_entropy: 3.4594, recall: 0.9024, relative_absolute_error: 0.1285, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.3984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9022, kappa: 0.8924, kb_relative_information_score: 4981.9062, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9024, predictive_accuracy: 0.9022, prior_entropy: 3.4594, recall: 0.9022, relative_absolute_error: 0.1294, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.3992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9017, kappa: 0.8918, kb_relative_information_score: 4995.9759, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9019, predictive_accuracy: 0.9016, prior_entropy: 3.4594, recall: 0.9016, relative_absolute_error: 0.128, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.3984,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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

OpenML APIs