Task
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 10093 Supervised Classification banknote-authentication 83822 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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83822 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9789, kappa: 0.9572, kb_relative_information_score: 1311.2118, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.9912, recall: 0.9789, relative_absolute_error: 0.0446, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.2552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9803, kappa: 0.9601, kb_relative_information_score: 1306.2729, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9803, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.0497, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.2586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1336.7244, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.2181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1338.4355, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.0243, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.2085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1315.896, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.2483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1332.5229, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.117, root_relative_squared_error: 0.2355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.984, kappa: 0.9676, kb_relative_information_score: 1322.1973, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.037, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1163, root_relative_squared_error: 0.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.981, kappa: 0.9616, kb_relative_information_score: 1303.09, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.981, predictive_accuracy: 0.981, prior_entropy: 0.9912, recall: 0.981, relative_absolute_error: 0.0528, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1294, root_relative_squared_error: 0.2604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9541, kappa: 0.907, kb_relative_information_score: 1215.952, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 0.9912, recall: 0.9541, relative_absolute_error: 0.1183, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.182, root_relative_squared_error: 0.3664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9686, kappa: 0.9364, kb_relative_information_score: 1259.9606, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9687, predictive_accuracy: 0.9687, prior_entropy: 0.9912, recall: 0.9687, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.3174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9745, kappa: 0.9484, kb_relative_information_score: 1284.0616, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9746, predictive_accuracy: 0.9745, prior_entropy: 0.9912, recall: 0.9745, relative_absolute_error: 0.0669, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1477, root_relative_squared_error: 0.2973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1333.775, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.0278, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.2198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9789, kappa: 0.9572, kb_relative_information_score: 1313.6843, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.9912, recall: 0.9789, relative_absolute_error: 0.0428, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.2497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9548, kappa: 0.9083, kb_relative_information_score: 1223.0347, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9548, predictive_accuracy: 0.9548, prior_entropy: 0.9912, recall: 0.9548, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.3577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1331.1535, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0297, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1125, root_relative_squared_error: 0.2265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9599, kappa: 0.9187, kb_relative_information_score: 1240.8255, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.96, predictive_accuracy: 0.9599, prior_entropy: 0.9912, recall: 0.9599, relative_absolute_error: 0.0992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.3406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.981, kappa: 0.9616, kb_relative_information_score: 1304.6869, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.981, predictive_accuracy: 0.981, prior_entropy: 0.9912, recall: 0.981, relative_absolute_error: 0.0515, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.128, root_relative_squared_error: 0.2575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9723, kappa: 0.944, kb_relative_information_score: 1275.9782, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9723, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.2974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9723, kappa: 0.944, kb_relative_information_score: 1276.779, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9723, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.0715, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.2963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9796, kappa: 0.9586, kb_relative_information_score: 1304.8087, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9796, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.0507, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9526, kappa: 0.9041, kb_relative_information_score: 1208.2328, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9526, predictive_accuracy: 0.9526, prior_entropy: 0.9912, recall: 0.9526, relative_absolute_error: 0.1242, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.3754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9577, kappa: 0.9143, kb_relative_information_score: 1230.1028, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9577, predictive_accuracy: 0.9577, prior_entropy: 0.9912, recall: 0.9577, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1315.2817, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.0423, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1325.4028, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.0343, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1135, root_relative_squared_error: 0.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9818, kappa: 0.9631, kb_relative_information_score: 1305.3663, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9818, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.051, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.981, kappa: 0.9616, kb_relative_information_score: 1309.6615, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 0.9912, recall: 0.981, relative_absolute_error: 0.0471, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.2582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9789, kappa: 0.9572, kb_relative_information_score: 1314.103, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.9912, recall: 0.9789, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.2471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1314.2017, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9723, kappa: 0.9439, kb_relative_information_score: 1269.6094, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9723, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.0788, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.3057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9752, kappa: 0.9499, kb_relative_information_score: 1282.6993, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9754, predictive_accuracy: 0.9752, prior_entropy: 0.9912, recall: 0.9752, relative_absolute_error: 0.0683, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1479, root_relative_squared_error: 0.2977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9599, kappa: 0.9187, kb_relative_information_score: 1241.3017, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.96, predictive_accuracy: 0.9599, prior_entropy: 0.9912, recall: 0.9599, relative_absolute_error: 0.0987, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.3399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1326.2403, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.0336, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.2277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.981, kappa: 0.9616, kb_relative_information_score: 1304.4437, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.981, predictive_accuracy: 0.981, prior_entropy: 0.9912, recall: 0.981, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.2585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.973, kappa: 0.9454, kb_relative_information_score: 1272.9397, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9731, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.0749, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.2962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9811, kappa: 0.9617, kb_relative_information_score: 1306.459, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9812, predictive_accuracy: 0.981, prior_entropy: 0.9912, recall: 0.981, relative_absolute_error: 0.049, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1307, root_relative_squared_error: 0.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9541, kappa: 0.907, kb_relative_information_score: 1215.346, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 0.9912, recall: 0.9541, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.3671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1314.0184, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.0434, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1235, root_relative_squared_error: 0.2485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9738, kappa: 0.9469, kb_relative_information_score: 1280.0721, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9739, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.0696, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.2933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1313.4974, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.0442, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.2511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1312.8095, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.0448, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.2494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9738, kappa: 0.9469, kb_relative_information_score: 1281.1537, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9739, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.0685, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.2936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.981, kappa: 0.9616, kb_relative_information_score: 1319.8812, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 0.9912, recall: 0.981, relative_absolute_error: 0.0381, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1205, root_relative_squared_error: 0.2426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9745, kappa: 0.9484, kb_relative_information_score: 1286.0872, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9746, predictive_accuracy: 0.9745, prior_entropy: 0.9912, recall: 0.9745, relative_absolute_error: 0.0651, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.2951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9818, kappa: 0.9631, kb_relative_information_score: 1302.3296, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9818, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.0536, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9526, kappa: 0.9041, kb_relative_information_score: 1208.7675, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9526, predictive_accuracy: 0.9526, prior_entropy: 0.9912, recall: 0.9526, relative_absolute_error: 0.1237, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.3753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.981, kappa: 0.9616, kb_relative_information_score: 1308.6062, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 0.9912, recall: 0.981, relative_absolute_error: 0.0481, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.2595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9825, kappa: 0.9645, kb_relative_information_score: 1323.2693, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9826, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.0358, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.2308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9723, kappa: 0.944, kb_relative_information_score: 1276.2978, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9723, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.072, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.2969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.981, kappa: 0.9616, kb_relative_information_score: 1318.0513, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 0.9912, recall: 0.981, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1205, root_relative_squared_error: 0.2425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.981, kappa: 0.9616, kb_relative_information_score: 1303.2908, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.981, predictive_accuracy: 0.981, prior_entropy: 0.9912, recall: 0.981, relative_absolute_error: 0.0526, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.2611,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.981, kappa: 0.9616, kb_relative_information_score: 1304.5328, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.981, predictive_accuracy: 0.981, prior_entropy: 0.9912, recall: 0.981, relative_absolute_error: 0.0516, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.2586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9803, kappa: 0.9601, kb_relative_information_score: 1305.893, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9803, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.0501, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.129, root_relative_squared_error: 0.2596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1328.9999, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.0315, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1097, root_relative_squared_error: 0.2207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1335.5497, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0264, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.2107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.976, kappa: 0.9514, kb_relative_information_score: 1285.1659, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9761, predictive_accuracy: 0.9759, prior_entropy: 0.9912, recall: 0.9759, relative_absolute_error: 0.0664, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9738, kappa: 0.947, kb_relative_information_score: 1282.2041, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.974, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.0681, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1498, root_relative_squared_error: 0.3015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9709, kappa: 0.941, kb_relative_information_score: 1266.5687, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9709, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.0809, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.3116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1330.1207, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.0307, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.109, root_relative_squared_error: 0.2194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1313.3465, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.2499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9694, kappa: 0.9379, kb_relative_information_score: 1261.7054, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9694, predictive_accuracy: 0.9694, prior_entropy: 0.9912, recall: 0.9694, relative_absolute_error: 0.0845, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9541, kappa: 0.907, kb_relative_information_score: 1216.1881, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 0.9912, recall: 0.9541, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.182, root_relative_squared_error: 0.3663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 1334.5587, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.0272, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.2291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9606, kappa: 0.9202, kb_relative_information_score: 1241.739, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9607, predictive_accuracy: 0.9606, prior_entropy: 0.9912, recall: 0.9606, relative_absolute_error: 0.0985, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.3392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.984, kappa: 0.9676, kb_relative_information_score: 1321.8223, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9841, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.0375, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.2468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9818, kappa: 0.963, kb_relative_information_score: 1326.2377, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9818, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.0337, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.2239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9526, kappa: 0.9041, kb_relative_information_score: 1209.2235, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9526, predictive_accuracy: 0.9526, prior_entropy: 0.9912, recall: 0.9526, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.3748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1306.4674, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9826, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.0497, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1287, root_relative_squared_error: 0.2589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9789, kappa: 0.9572, kb_relative_information_score: 1294.9168, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.9912, recall: 0.9789, relative_absolute_error: 0.0591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.2812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1316.8514, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.2478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1338.8196, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0241, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.2147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9811, kappa: 0.9617, kb_relative_information_score: 1300.1111, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9812, predictive_accuracy: 0.981, prior_entropy: 0.9912, recall: 0.981, relative_absolute_error: 0.0552, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.2705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.981, kappa: 0.9616, kb_relative_information_score: 1320.0001, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 0.9912, recall: 0.981, relative_absolute_error: 0.0379, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.2421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9541, kappa: 0.907, kb_relative_information_score: 1214.6242, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 0.9912, recall: 0.9541, relative_absolute_error: 0.1194, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.3673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9731, kappa: 0.9455, kb_relative_information_score: 1280.0769, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.0697, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.3046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9731, kappa: 0.9455, kb_relative_information_score: 1276.3355, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.073, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.3025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.981, kappa: 0.9616, kb_relative_information_score: 1320.3752, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 0.9912, recall: 0.981, relative_absolute_error: 0.0379, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.2363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9796, kappa: 0.9586, kb_relative_information_score: 1303.8769, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9796, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.0516, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.2669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.981, kappa: 0.9616, kb_relative_information_score: 1304.4163, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.981, predictive_accuracy: 0.981, prior_entropy: 0.9912, recall: 0.981, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1286, root_relative_squared_error: 0.2587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 1270.2992, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.971, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.0775, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.3085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9738, kappa: 0.947, kb_relative_information_score: 1276.1658, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9739, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.0735, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.2984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.981, kappa: 0.9616, kb_relative_information_score: 1305.6093, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.981, predictive_accuracy: 0.981, prior_entropy: 0.9912, recall: 0.981, relative_absolute_error: 0.0506, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.2579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9811, kappa: 0.9617, kb_relative_information_score: 1306.7007, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9812, predictive_accuracy: 0.981, prior_entropy: 0.9912, recall: 0.981, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.2622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9723, kappa: 0.944, kb_relative_information_score: 1274.173, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9724, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.0746, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.3056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9738, kappa: 0.9469, kb_relative_information_score: 1281.0863, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9739, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.0686, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.293,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9745, kappa: 0.9484, kb_relative_information_score: 1281.7766, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9746, predictive_accuracy: 0.9745, prior_entropy: 0.9912, recall: 0.9745, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.2985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1328.1009, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.0323, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1097, root_relative_squared_error: 0.2208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1317.3001, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.0406, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.123, root_relative_squared_error: 0.2476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9708, kappa: 0.941, kb_relative_information_score: 1267.2662, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9708, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.0804, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.3083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9752, kappa: 0.9499, kb_relative_information_score: 1285.5455, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9753, predictive_accuracy: 0.9752, prior_entropy: 0.9912, recall: 0.9752, relative_absolute_error: 0.0656, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.2854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9541, kappa: 0.907, kb_relative_information_score: 1214.6844, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 0.9912, recall: 0.9541, relative_absolute_error: 0.1193, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.3695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9599, kappa: 0.9187, kb_relative_information_score: 1240.6441, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.96, predictive_accuracy: 0.9599, prior_entropy: 0.9912, recall: 0.9599, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.169, root_relative_squared_error: 0.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9752, kappa: 0.9499, kb_relative_information_score: 1288.3677, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9754, predictive_accuracy: 0.9752, prior_entropy: 0.9912, recall: 0.9752, relative_absolute_error: 0.0634, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.2914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.981, kappa: 0.9616, kb_relative_information_score: 1320.7, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 0.9912, recall: 0.981, relative_absolute_error: 0.0376, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.2361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9752, kappa: 0.9499, kb_relative_information_score: 1286.1639, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9753, predictive_accuracy: 0.9752, prior_entropy: 0.9912, recall: 0.9752, relative_absolute_error: 0.065, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.2847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1309.2229, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9826, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.0475, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9679, kappa: 0.935, kb_relative_information_score: 1257.7064, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9679, predictive_accuracy: 0.9679, prior_entropy: 0.9912, recall: 0.9679, relative_absolute_error: 0.0874, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3234,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs