OpenML
Supervised Classification on breast-cancer

Supervised Classification on breast-cancer

Task 13 Supervised Classification breast-cancer 767 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • basic mythbusting mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_73 under100k under1m
Issue #Downvotes for this reason By


Metric:

767 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, build_cpu_time: 0.0934, build_memory: 70668432.8392, f_measure: 0.6897, kappa: 0.2294, kb_relative_information_score: 74.8884, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6856, predictive_accuracy: 0.7098, prior_entropy: 0.8796, recall: 0.7098, relative_absolute_error: 0.6866, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5068, root_relative_squared_error: 1.1089, scimark_benchmark: 944.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6657, build_cpu_time: 0.054, build_memory: 1220946328.0839, f_measure: 0.6887, kappa: 0.2289, kb_relative_information_score: 69.7164, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6836, predictive_accuracy: 0.7063, prior_entropy: 0.8796, recall: 0.7063, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5112, root_relative_squared_error: 1.1185, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, build_cpu_time: 0.5736, build_memory: 1183989182.7133, f_measure: 0.7066, kappa: 0.266, kb_relative_information_score: 43.1163, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7226, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.8468, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.9399, scimark_benchmark: 941.3667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6778, build_cpu_time: 0.9917, build_memory: 549668045.1189, f_measure: 0.7117, kappa: 0.2788, kb_relative_information_score: 41.8825, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7274, predictive_accuracy: 0.7448, prior_entropy: 0.8796, recall: 0.7448, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.9404, scimark_benchmark: 946.4301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6778, build_cpu_time: 1.1491, build_memory: 1257220016.8112, f_measure: 0.7117, kappa: 0.2788, kb_relative_information_score: 41.8825, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7274, predictive_accuracy: 0.7448, prior_entropy: 0.8796, recall: 0.7448, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.9404, scimark_benchmark: 942.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, build_cpu_time: 0.1105, build_memory: 75751920.0839, f_measure: 0.7017, kappa: 0.254, kb_relative_information_score: 35.1248, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7245, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.8757, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4328, root_relative_squared_error: 0.947, scimark_benchmark: 942.6928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, build_cpu_time: 0.1462, build_memory: 189501807.3007, f_measure: 0.7017, kappa: 0.254, kb_relative_information_score: 35.1248, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7245, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.8757, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4328, root_relative_squared_error: 0.947, scimark_benchmark: 946.8579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, build_cpu_time: 0.0892, build_memory: 494078862.6014, f_measure: 0.7217, kappa: 0.3042, kb_relative_information_score: 36.7606, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7368, predictive_accuracy: 0.7517, prior_entropy: 0.8796, recall: 0.7517, relative_absolute_error: 0.8715, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.9435, scimark_benchmark: 940.0138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6777, build_cpu_time: 0.0423, build_memory: 1301666025.2308, f_measure: 0.7303, kappa: 0.3255, kb_relative_information_score: 39.7076, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.754, predictive_accuracy: 0.7622, prior_entropy: 0.8796, recall: 0.7622, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9396, scimark_benchmark: 934.4445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.7014, kappa: 0.2531, kb_relative_information_score: 37.6551, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7176, predictive_accuracy: 0.7378, prior_entropy: 0.8796, recall: 0.7378, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, build_cpu_time: 0.022, build_memory: 52970449.6504, f_measure: 0.7014, kappa: 0.2531, kb_relative_information_score: 37.6551, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7176, predictive_accuracy: 0.7378, prior_entropy: 0.8796, recall: 0.7378, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.9494, scimark_benchmark: 945.9625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5834, build_cpu_time: 0.0121, build_memory: 44392550.4056, f_measure: 0.7072, kappa: 0.2682, kb_relative_information_score: 34.8021, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7377, predictive_accuracy: 0.7483, prior_entropy: 0.8796, recall: 0.7483, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9722, scimark_benchmark: 947.3175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5834, build_cpu_time: 0.0033, build_memory: 39853210.7972, f_measure: 0.7072, kappa: 0.2682, kb_relative_information_score: 34.8021, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7377, predictive_accuracy: 0.7483, prior_entropy: 0.8796, recall: 0.7483, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9722, scimark_benchmark: 943.7088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5834, build_cpu_time: 0.0038, build_memory: 21003016.3636, f_measure: 0.7072, kappa: 0.2682, kb_relative_information_score: 34.8021, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7377, predictive_accuracy: 0.7483, prior_entropy: 0.8796, recall: 0.7483, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9722, scimark_benchmark: 917.4635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5834, build_cpu_time: 0.0014, build_memory: 221055920, f_measure: 0.7072, kappa: 0.2682, kb_relative_information_score: 34.8021, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7377, predictive_accuracy: 0.7483, prior_entropy: 0.8796, recall: 0.7483, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9722, scimark_benchmark: 941.4209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5834, build_cpu_time: 0.0015, build_memory: 225845730.8531, f_measure: 0.7072, kappa: 0.2682, kb_relative_information_score: 34.8021, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7377, predictive_accuracy: 0.7483, prior_entropy: 0.8796, recall: 0.7483, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9722, scimark_benchmark: 923.7856,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.626, f_measure: 0.6793, kappa: 0.2202, kb_relative_information_score: 26.135, mean_absolute_error: 0.3644, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.675, predictive_accuracy: 0.6853, prior_entropy: 0.8796, recall: 0.6853, relative_absolute_error: 0.8711, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0324, scimark_benchmark: 597.3772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6785, f_measure: 0.701, kappa: 0.2554, kb_relative_information_score: 34.6743, mean_absolute_error: 0.3564, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7004, predictive_accuracy: 0.7238, prior_entropy: 0.8796, recall: 0.7238, relative_absolute_error: 0.852, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.9727, scimark_benchmark: 943.4466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6516, f_measure: 0.6835, kappa: 0.2316, kb_relative_information_score: 59.1186, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6796, predictive_accuracy: 0.6888, prior_entropy: 0.8796, recall: 0.6888, relative_absolute_error: 0.7385, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.528, root_relative_squared_error: 1.1553, scimark_benchmark: 594.0605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.661, f_measure: 0.701, kappa: 0.2554, kb_relative_information_score: 33.851, mean_absolute_error: 0.3616, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7004, predictive_accuracy: 0.7238, prior_entropy: 0.8796, recall: 0.7238, relative_absolute_error: 0.8644, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9502, scimark_benchmark: 573.2466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.632, f_measure: 0.6963, kappa: 0.2408, kb_relative_information_score: 22.3618, mean_absolute_error: 0.3807, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7194, predictive_accuracy: 0.7378, prior_entropy: 0.8796, recall: 0.7378, relative_absolute_error: 0.91, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.436, root_relative_squared_error: 0.9541, scimark_benchmark: 846.2476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5834, f_measure: 0.7072, kappa: 0.2682, kb_relative_information_score: 34.8021, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7377, predictive_accuracy: 0.7483, prior_entropy: 0.8796, recall: 0.7483, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9722, scimark_benchmark: 1913.8221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.5801, kb_relative_information_score: -0.3776, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0001, scimark_benchmark: 1913.8221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6587, f_measure: 0.6665, kappa: 0.1738, kb_relative_information_score: 29.6101, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6592, predictive_accuracy: 0.6853, prior_entropy: 0.8796, recall: 0.6853, relative_absolute_error: 0.8666, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9869, scimark_benchmark: 922.2881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, f_measure: 0.6516, kappa: 0.1371, kb_relative_information_score: 48.5235, mean_absolute_error: 0.3234, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.643, predictive_accuracy: 0.6713, prior_entropy: 0.8796, recall: 0.6713, relative_absolute_error: 0.773, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5448, root_relative_squared_error: 1.1921, scimark_benchmark: 950.4164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.6982, kappa: 0.2454, kb_relative_information_score: 34.4297, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7069, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.8683, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9501, scimark_benchmark: 898.2004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5861, f_measure: 0.6855, kappa: 0.2141, kb_relative_information_score: 33.3579, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7087, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.8806, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9804, scimark_benchmark: 938.1959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, f_measure: 0.6897, kappa: 0.2294, kb_relative_information_score: 69.3586, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6856, predictive_accuracy: 0.7098, prior_entropy: 0.8796, recall: 0.7098, relative_absolute_error: 0.7018, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4932, root_relative_squared_error: 1.0791, scimark_benchmark: 942.9384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6602, f_measure: 0.6991, kappa: 0.2479, kb_relative_information_score: 23.2469, mean_absolute_error: 0.3806, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7259, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.9099, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.9482, scimark_benchmark: 921.3724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6444, f_measure: 0.6989, kappa: 0.247, kb_relative_information_score: 41.5907, mean_absolute_error: 0.3585, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7184, predictive_accuracy: 0.7378, prior_entropy: 0.8796, recall: 0.7378, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.9528, scimark_benchmark: 928.7283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6296, f_measure: 0.6779, kappa: 0.2147, kb_relative_information_score: 26.7367, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6729, predictive_accuracy: 0.6853, prior_entropy: 0.8796, recall: 0.6853, relative_absolute_error: 0.868, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4725, root_relative_squared_error: 1.0339, scimark_benchmark: 927.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.6878, kappa: 0.2236, kb_relative_information_score: 67.3934, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6842, predictive_accuracy: 0.7098, prior_entropy: 0.8796, recall: 0.7098, relative_absolute_error: 0.7184, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4602, root_relative_squared_error: 1.0068, scimark_benchmark: 923.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6717, f_measure: 0.6949, kappa: 0.2465, kb_relative_information_score: 73.061, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6899, predictive_accuracy: 0.7098, prior_entropy: 0.8796, recall: 0.7098, relative_absolute_error: 0.6937, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.511, root_relative_squared_error: 1.1181, scimark_benchmark: 943.7592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6368, f_measure: 0.6701, kappa: 0.1859, kb_relative_information_score: 57.4614, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6631, predictive_accuracy: 0.6853, prior_entropy: 0.8796, recall: 0.6853, relative_absolute_error: 0.7414, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5492, root_relative_squared_error: 1.2017, scimark_benchmark: 918.0667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6546, f_measure: 0.6897, kappa: 0.2294, kb_relative_information_score: 48.51, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6856, predictive_accuracy: 0.7098, prior_entropy: 0.8796, recall: 0.7098, relative_absolute_error: 0.7841, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4663, root_relative_squared_error: 1.0202, scimark_benchmark: 921.5674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6302, f_measure: 0.685, kappa: 0.2172, kb_relative_information_score: 66.7902, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6807, predictive_accuracy: 0.7063, prior_entropy: 0.8796, recall: 0.7063, relative_absolute_error: 0.7139, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5332, root_relative_squared_error: 1.1666, scimark_benchmark: 929.6978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, f_measure: 0.6933, kappa: 0.2409, kb_relative_information_score: 49.8147, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6884, predictive_accuracy: 0.7098, prior_entropy: 0.8796, recall: 0.7098, relative_absolute_error: 0.7814, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4622, root_relative_squared_error: 1.0112, scimark_benchmark: 941.6855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6802, f_measure: 0.6828, kappa: 0.2065, kb_relative_information_score: 30.7396, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6912, predictive_accuracy: 0.7203, prior_entropy: 0.8796, recall: 0.7203, relative_absolute_error: 0.8705, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9624, scimark_benchmark: 926.4238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6179, f_measure: 0.6739, kappa: 0.1921, kb_relative_information_score: 25.6278, mean_absolute_error: 0.3674, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6674, predictive_accuracy: 0.6923, prior_entropy: 0.8796, recall: 0.6923, relative_absolute_error: 0.8784, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4842, root_relative_squared_error: 1.0594, scimark_benchmark: 917.3784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7164, f_measure: 0.7271, kappa: 0.3223, kb_relative_information_score: 50.7413, mean_absolute_error: 0.3408, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7274, predictive_accuracy: 0.7448, prior_entropy: 0.8796, recall: 0.7448, relative_absolute_error: 0.8148, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.633, f_measure: 0.685, kappa: 0.2172, kb_relative_information_score: 37.6944, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6807, predictive_accuracy: 0.7063, prior_entropy: 0.8796, recall: 0.7063, relative_absolute_error: 0.8286, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4778, root_relative_squared_error: 1.0455, scimark_benchmark: 924.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6803, f_measure: 0.6852, kappa: 0.2128, kb_relative_information_score: 30.5499, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6917, predictive_accuracy: 0.7203, prior_entropy: 0.8796, recall: 0.7203, relative_absolute_error: 0.8702, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.9635, scimark_benchmark: 907.4911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, f_measure: 0.6897, kappa: 0.2294, kb_relative_information_score: 47.5059, mean_absolute_error: 0.3305, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6856, predictive_accuracy: 0.7098, prior_entropy: 0.8796, recall: 0.7098, relative_absolute_error: 0.79, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4725, root_relative_squared_error: 1.0339, scimark_benchmark: 905.5395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5903, f_measure: 0.6824, kappa: 0.2409, kb_relative_information_score: 16.8905, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6829, predictive_accuracy: 0.6818, prior_entropy: 0.8796, recall: 0.6818, relative_absolute_error: 0.9244, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.9794, scimark_benchmark: 940.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6678, f_measure: 0.6936, kappa: 0.2549, kb_relative_information_score: 59.9535, mean_absolute_error: 0.3084, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6895, predictive_accuracy: 0.6993, prior_entropy: 0.8796, recall: 0.6993, relative_absolute_error: 0.7372, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5159, root_relative_squared_error: 1.1287, scimark_benchmark: 931.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, f_measure: 0.6869, kappa: 0.2231, kb_relative_information_score: 45.3021, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6821, predictive_accuracy: 0.7063, prior_entropy: 0.8796, recall: 0.7063, relative_absolute_error: 0.8028, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4766, root_relative_squared_error: 1.0428, scimark_benchmark: 941.6697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.6949, kappa: 0.2379, kb_relative_information_score: 35.9717, mean_absolute_error: 0.3601, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.698, predictive_accuracy: 0.7238, prior_entropy: 0.8796, recall: 0.7238, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.9522, scimark_benchmark: 934.0616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6798, f_measure: 0.7117, kappa: 0.2788, kb_relative_information_score: 46.3695, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7274, predictive_accuracy: 0.7448, prior_entropy: 0.8796, recall: 0.7448, relative_absolute_error: 0.8353, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.9363, scimark_benchmark: 941.1815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.6767, kappa: 0.1983, kb_relative_information_score: 41.7687, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6706, predictive_accuracy: 0.6958, prior_entropy: 0.8796, recall: 0.6958, relative_absolute_error: 0.8112, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4669, root_relative_squared_error: 1.0216, scimark_benchmark: 943.1582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6787, f_measure: 0.6794, kappa: 0.2046, kb_relative_information_score: 62.5652, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6739, predictive_accuracy: 0.6993, prior_entropy: 0.8796, recall: 0.6993, relative_absolute_error: 0.7305, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4616, root_relative_squared_error: 1.0099, scimark_benchmark: 940.2187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6348, f_measure: 0.6841, kappa: 0.2168, kb_relative_information_score: 66.7147, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6788, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7136, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5376, root_relative_squared_error: 1.1763, scimark_benchmark: 941.0399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.6886, kappa: 0.2241, kb_relative_information_score: 35.3223, mean_absolute_error: 0.3555, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6867, predictive_accuracy: 0.7133, prior_entropy: 0.8796, recall: 0.7133, relative_absolute_error: 0.8498, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4454, root_relative_squared_error: 0.9746, scimark_benchmark: 943.9485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5754, f_measure: 0.6605, kappa: 0.168, kb_relative_information_score: 11.7757, mean_absolute_error: 0.3933, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6539, predictive_accuracy: 0.6713, prior_entropy: 0.8796, recall: 0.6713, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9949, scimark_benchmark: 937.7739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6205, f_measure: 0.6739, kappa: 0.1921, kb_relative_information_score: 24.5078, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6674, predictive_accuracy: 0.6923, prior_entropy: 0.8796, recall: 0.6923, relative_absolute_error: 0.8825, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4807, root_relative_squared_error: 1.0517, scimark_benchmark: 943.5067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6672, f_measure: 0.7017, kappa: 0.254, kb_relative_information_score: 27.8797, mean_absolute_error: 0.3751, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7245, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.432, root_relative_squared_error: 0.9451, scimark_benchmark: 925.5768,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.7064, kappa: 0.2721, kb_relative_information_score: 53.7565, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7034, predictive_accuracy: 0.7238, prior_entropy: 0.8796, recall: 0.7238, relative_absolute_error: 0.7846, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9724, scimark_benchmark: 927.1674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.6571, kappa: 0.1454, kb_relative_information_score: 26.8176, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.678, predictive_accuracy: 0.7133, prior_entropy: 0.8796, recall: 0.7133, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.9609, scimark_benchmark: 941.8122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6176, f_measure: 0.6586, kappa: 0.1481, kb_relative_information_score: 24.5124, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.653, predictive_accuracy: 0.6888, prior_entropy: 0.8796, recall: 0.6888, relative_absolute_error: 0.8828, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4586, root_relative_squared_error: 1.0035, scimark_benchmark: 941.3799,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.643, f_measure: 0.6894, kappa: 0.2388, kb_relative_information_score: 64.767, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6841, predictive_accuracy: 0.6993, prior_entropy: 0.8796, recall: 0.6993, relative_absolute_error: 0.7196, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.521, root_relative_squared_error: 1.1399, scimark_benchmark: 911.2244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6917, f_measure: 0.701, kappa: 0.2554, kb_relative_information_score: 82.1648, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7004, predictive_accuracy: 0.7238, prior_entropy: 0.8796, recall: 0.7238, relative_absolute_error: 0.6641, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4905, root_relative_squared_error: 1.0732, scimark_benchmark: 944.5784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6214, f_measure: 0.6701, kappa: 0.1859, kb_relative_information_score: 51.2111, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6631, predictive_accuracy: 0.6853, prior_entropy: 0.8796, recall: 0.6853, relative_absolute_error: 0.7648, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5394, root_relative_squared_error: 1.1801, scimark_benchmark: 937.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6595, f_measure: 0.7086, kappa: 0.2742, kb_relative_information_score: 84.2756, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7091, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.6543, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5074, root_relative_squared_error: 1.1102, scimark_benchmark: 917.7143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5952, f_measure: 0.6446, kappa: 0.1121, kb_relative_information_score: 20.6144, mean_absolute_error: 0.3836, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6484, predictive_accuracy: 0.6958, prior_entropy: 0.8796, recall: 0.6958, relative_absolute_error: 0.9171, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4707, root_relative_squared_error: 1.03, scimark_benchmark: 940.6161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, f_measure: 0.7069, kappa: 0.2671, kb_relative_information_score: 28.1053, mean_absolute_error: 0.3749, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7295, predictive_accuracy: 0.7448, prior_entropy: 0.8796, recall: 0.7448, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.9444, scimark_benchmark: 943.8675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6511, f_measure: 0.6775, kappa: 0.1986, kb_relative_information_score: 29.8642, mean_absolute_error: 0.3644, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6722, predictive_accuracy: 0.6993, prior_entropy: 0.8796, recall: 0.6993, relative_absolute_error: 0.8711, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.986, scimark_benchmark: 944.9883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6601, f_measure: 0.7075, kappa: 0.2697, kb_relative_information_score: 78.1625, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7122, predictive_accuracy: 0.7343, prior_entropy: 0.8796, recall: 0.7343, relative_absolute_error: 0.6849, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4832, root_relative_squared_error: 1.0572, scimark_benchmark: 925.6267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6469, f_measure: 0.6718, kappa: 0.1918, kb_relative_information_score: 58.532, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6651, predictive_accuracy: 0.6853, prior_entropy: 0.8796, recall: 0.6853, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5348, root_relative_squared_error: 1.1701, scimark_benchmark: 931.6958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.6775, kappa: 0.1986, kb_relative_information_score: 29.6654, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6722, predictive_accuracy: 0.6993, prior_entropy: 0.8796, recall: 0.6993, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4507, root_relative_squared_error: 0.9862, scimark_benchmark: 926.0881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6497, f_measure: 0.6719, kappa: 0.2082, kb_relative_information_score: 47.0729, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6694, predictive_accuracy: 0.6748, prior_entropy: 0.8796, recall: 0.6748, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5173, root_relative_squared_error: 1.1319, scimark_benchmark: 942.0307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6167, f_measure: 0.6959, kappa: 0.2393, kb_relative_information_score: 27.5727, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7068, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9817, scimark_benchmark: 947.3645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.659, kappa: 0.147, kb_relative_information_score: 11.7427, mean_absolute_error: 0.3998, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6598, predictive_accuracy: 0.6993, prior_entropy: 0.8796, recall: 0.6993, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0915, scimark_benchmark: 942.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6661, f_measure: 0.7173, kappa: 0.2929, kb_relative_information_score: 29.5951, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7389, predictive_accuracy: 0.7517, prior_entropy: 0.8796, recall: 0.7517, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.9447, scimark_benchmark: 939.8071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6661, f_measure: 0.7173, kappa: 0.2929, kb_relative_information_score: 29.5951, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7389, predictive_accuracy: 0.7517, prior_entropy: 0.8796, recall: 0.7517, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.9447, scimark_benchmark: 935.7134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6656, f_measure: 0.688, kappa: 0.2382, kb_relative_information_score: 60.1625, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6831, predictive_accuracy: 0.6958, prior_entropy: 0.8796, recall: 0.6958, relative_absolute_error: 0.7365, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5153, root_relative_squared_error: 1.1275, scimark_benchmark: 944.6368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6143, f_measure: 0.6879, kappa: 0.2333, kb_relative_information_score: 75.07, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6823, predictive_accuracy: 0.6993, prior_entropy: 0.8796, recall: 0.6993, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5198, root_relative_squared_error: 1.1372, scimark_benchmark: 938.2923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6143, f_measure: 0.6879, kappa: 0.2333, kb_relative_information_score: 75.0134, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6823, predictive_accuracy: 0.6993, prior_entropy: 0.8796, recall: 0.6993, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5198, root_relative_squared_error: 1.1374, scimark_benchmark: 946.6599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6561, f_measure: 0.6793, kappa: 0.2202, kb_relative_information_score: 58.198, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.675, predictive_accuracy: 0.6853, prior_entropy: 0.8796, recall: 0.6853, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5151, root_relative_squared_error: 1.127, scimark_benchmark: 925.6317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, f_measure: 0.6755, kappa: 0.1925, kb_relative_information_score: 68.3885, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6706, predictive_accuracy: 0.6993, prior_entropy: 0.8796, recall: 0.6993, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4658, root_relative_squared_error: 1.0192, scimark_benchmark: 920.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6776, f_measure: 0.7109, kappa: 0.2839, kb_relative_information_score: 54.3689, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.708, predictive_accuracy: 0.7273, prior_entropy: 0.8796, recall: 0.7273, relative_absolute_error: 0.7835, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.9809, scimark_benchmark: 929.5239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.6807, kappa: 0.2155, kb_relative_information_score: 61.6166, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6747, predictive_accuracy: 0.6923, prior_entropy: 0.8796, recall: 0.6923, relative_absolute_error: 0.7287, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5295, root_relative_squared_error: 1.1585, scimark_benchmark: 947.0116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.7178, kappa: 0.2943, kb_relative_information_score: 33.5455, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7471, predictive_accuracy: 0.7552, prior_entropy: 0.8796, recall: 0.7552, relative_absolute_error: 0.8758, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.9465, scimark_benchmark: 915.0406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6777, f_measure: 0.7303, kappa: 0.3255, kb_relative_information_score: 39.7076, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.754, predictive_accuracy: 0.7622, prior_entropy: 0.8796, recall: 0.7622, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9396, scimark_benchmark: 941.8289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6516, f_measure: 0.6835, kappa: 0.2316, kb_relative_information_score: 59.1186, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6796, predictive_accuracy: 0.6888, prior_entropy: 0.8796, recall: 0.6888, relative_absolute_error: 0.7385, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.528, root_relative_squared_error: 1.1553, scimark_benchmark: 928.3994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6516, f_measure: 0.6835, kappa: 0.2316, kb_relative_information_score: 59.1186, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6796, predictive_accuracy: 0.6888, prior_entropy: 0.8796, recall: 0.6888, relative_absolute_error: 0.7385, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.528, root_relative_squared_error: 1.1553, scimark_benchmark: 940.7101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6465, f_measure: 0.6879, kappa: 0.2333, kb_relative_information_score: 66.9809, mean_absolute_error: 0.2958, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6823, predictive_accuracy: 0.6993, prior_entropy: 0.8796, recall: 0.6993, relative_absolute_error: 0.7071, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5277, root_relative_squared_error: 1.1546, scimark_benchmark: 935.8924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.7083, kappa: 0.2981, kb_relative_information_score: 56.0266, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7069, predictive_accuracy: 0.7098, prior_entropy: 0.8796, recall: 0.7098, relative_absolute_error: 0.7537, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0904, scimark_benchmark: 943.1491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.6807, kappa: 0.2155, kb_relative_information_score: 61.6166, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6747, predictive_accuracy: 0.6923, prior_entropy: 0.8796, recall: 0.6923, relative_absolute_error: 0.7287, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5295, root_relative_squared_error: 1.1585, scimark_benchmark: 936.4014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6143, f_measure: 0.6879, kappa: 0.2333, kb_relative_information_score: 75.0134, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6823, predictive_accuracy: 0.6993, prior_entropy: 0.8796, recall: 0.6993, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5198, root_relative_squared_error: 1.1374, scimark_benchmark: 944.9233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.6938, kappa: 0.2504, kb_relative_information_score: 60.2045, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6887, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7397, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5241, root_relative_squared_error: 1.1467, scimark_benchmark: 947.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, f_measure: 0.701, kappa: 0.268, kb_relative_information_score: 67.8046, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6962, predictive_accuracy: 0.7098, prior_entropy: 0.8796, recall: 0.7098, relative_absolute_error: 0.7156, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0897, scimark_benchmark: 934.5343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.7122, kappa: 0.2801, kb_relative_information_score: 32.3962, mean_absolute_error: 0.3648, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7343, predictive_accuracy: 0.7483, prior_entropy: 0.8796, recall: 0.7483, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.9443, scimark_benchmark: 910.4363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.651, f_measure: 0.6981, kappa: 0.2574, kb_relative_information_score: 60.0291, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.693, predictive_accuracy: 0.7098, prior_entropy: 0.8796, recall: 0.7098, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.1292, scimark_benchmark: 945.3705,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6819, f_measure: 0.6927, kappa: 0.2319, kb_relative_information_score: 35.8731, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6974, predictive_accuracy: 0.7238, prior_entropy: 0.8796, recall: 0.7238, relative_absolute_error: 0.8579, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.9612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6091, f_measure: 0.6521, kappa: 0.1319, kb_relative_information_score: 17.3512, mean_absolute_error: 0.3857, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6651, predictive_accuracy: 0.7063, prior_entropy: 0.8796, recall: 0.7063, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6488, f_measure: 0.672, kappa: 0.1861, kb_relative_information_score: 29.8672, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6656, predictive_accuracy: 0.6923, prior_entropy: 0.8796, recall: 0.6923, relative_absolute_error: 0.871, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9883, scimark_benchmark: 901.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6143, f_measure: 0.6785, kappa: 0.2043, kb_relative_information_score: 29.2931, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6723, predictive_accuracy: 0.6958, prior_entropy: 0.8796, recall: 0.6958, relative_absolute_error: 0.8623, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4882, root_relative_squared_error: 1.0682, scimark_benchmark: 922.7706,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs