OpenML
Supervised Classification on balance-scale

Supervised Classification on balance-scale

Task 11 Supervised Classification balance-scale 24833 runs submitted
0 likes downloaded by 2 people , 6 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

24833 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.8221, kappa: 0.6837, kb_relative_information_score: 369.8555, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8253, predictive_accuracy: 0.8192, prior_entropy: 1.3212, recall: 0.8192, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.6651, scimark_benchmark: 947.8731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.718, kappa: 0.5341, kb_relative_information_score: 267.1376, mean_absolute_error: 0.222, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6911, predictive_accuracy: 0.7488, prior_entropy: 1.3212, recall: 0.7488, relative_absolute_error: 0.5847, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.8375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7765, kappa: 0.6196, kb_relative_information_score: 332.5045, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.768, predictive_accuracy: 0.7872, prior_entropy: 1.3212, recall: 0.7872, relative_absolute_error: 0.4436, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.8087, scimark_benchmark: 911.1453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.7526, kappa: 0.5836, kb_relative_information_score: 306.4881, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7379, predictive_accuracy: 0.7696, prior_entropy: 1.3212, recall: 0.7696, relative_absolute_error: 0.4911, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.8332, scimark_benchmark: 947.3777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, f_measure: 0.7726, kappa: 0.6249, kb_relative_information_score: 330.5165, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.756, predictive_accuracy: 0.7936, prior_entropy: 1.3212, recall: 0.7936, relative_absolute_error: 0.4668, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.333, root_relative_squared_error: 0.7645, scimark_benchmark: 944.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.7419, kappa: 0.5756, kb_relative_information_score: 301.8179, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7172, predictive_accuracy: 0.7696, prior_entropy: 1.3212, recall: 0.7696, relative_absolute_error: 0.5215, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.8109, scimark_benchmark: 919.3214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8656, kappa: 0.819, kb_relative_information_score: 221.0622, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8317, predictive_accuracy: 0.9024, prior_entropy: 1.3212, recall: 0.9024, relative_absolute_error: 0.6881, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.7724, scimark_benchmark: 947.5922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.8664, kappa: 0.8192, kb_relative_information_score: 390.0155, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8333, predictive_accuracy: 0.9024, prior_entropy: 1.3212, recall: 0.9024, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.5582, scimark_benchmark: 943.9327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.684, kappa: 0.4688, kb_relative_information_score: 238.3452, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6596, predictive_accuracy: 0.7136, prior_entropy: 1.3212, recall: 0.7136, relative_absolute_error: 0.6316, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.856, scimark_benchmark: 947.5763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9696, kappa: 0.9445, kb_relative_information_score: 0.9427, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9729, predictive_accuracy: 0.968, prior_entropy: 1.3181, recall: 0.968, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.3353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9968, kappa: 0.9944, kb_relative_information_score: 0.9908, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 1.3181, recall: 0.9968, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.0462, root_relative_squared_error: 0.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9212, kappa: 0.8861, kb_relative_information_score: 494.5868, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.933, predictive_accuracy: 0.9376, prior_entropy: 1.3212, recall: 0.9376, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.41, scimark_benchmark: 949.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.838, kappa: 0.7656, kb_relative_information_score: 345.5404, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8051, predictive_accuracy: 0.8736, prior_entropy: 1.3212, recall: 0.8736, relative_absolute_error: 0.4484, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.263, root_relative_squared_error: 0.6039, scimark_benchmark: 945.4117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8717, kappa: 0.8309, kb_relative_information_score: 223.603, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8376, predictive_accuracy: 0.9088, prior_entropy: 1.3212, recall: 0.9088, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.7675, scimark_benchmark: 903.3999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.6812, kappa: 0.4629, kb_relative_information_score: 236.4444, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6558, predictive_accuracy: 0.7104, prior_entropy: 1.3212, recall: 0.7104, relative_absolute_error: 0.6359, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.375, root_relative_squared_error: 0.8608, scimark_benchmark: 946.5424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8625, kappa: 0.8131, kb_relative_information_score: 219.7918, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8287, predictive_accuracy: 0.8992, prior_entropy: 1.3212, recall: 0.8992, relative_absolute_error: 0.69, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.7748, scimark_benchmark: 909.5492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.8702, kappa: 0.8279, kb_relative_information_score: 294.9261, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8361, predictive_accuracy: 0.9072, prior_entropy: 1.3212, recall: 0.9072, relative_absolute_error: 0.5583, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.278, root_relative_squared_error: 0.6383, scimark_benchmark: 948.2999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.8693, kappa: 0.7944, kb_relative_information_score: 426.6741, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8569, predictive_accuracy: 0.8864, prior_entropy: 1.3212, recall: 0.8864, relative_absolute_error: 0.3122, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5406, scimark_benchmark: 890.5406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.8284, kappa: 0.743, kb_relative_information_score: 326.1226, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7984, predictive_accuracy: 0.8608, prior_entropy: 1.3212, recall: 0.8608, relative_absolute_error: 0.4734, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.6261, scimark_benchmark: 946.4863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.7458, kappa: 0.5875, kb_relative_information_score: 289.817, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7169, predictive_accuracy: 0.7776, prior_entropy: 1.3212, recall: 0.7776, relative_absolute_error: 0.542, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.353, root_relative_squared_error: 0.8105, scimark_benchmark: 916.1311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.7495, kappa: 0.5939, kb_relative_information_score: 293.3346, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.721, predictive_accuracy: 0.7808, prior_entropy: 1.3212, recall: 0.7808, relative_absolute_error: 0.5351, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.35, root_relative_squared_error: 0.8036, scimark_benchmark: 944.4643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.5589, kappa: 0.2285, kb_relative_information_score: 162.8378, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.5381, predictive_accuracy: 0.584, prior_entropy: 1.3212, recall: 0.584, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.209, scimark_benchmark: 911.5916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.8426, kappa: 0.7745, kb_relative_information_score: 211.534, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8095, predictive_accuracy: 0.8784, prior_entropy: 1.3212, recall: 0.8784, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.7904, scimark_benchmark: 910.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.8577, kappa: 0.7964, kb_relative_information_score: 373.9104, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8307, predictive_accuracy: 0.8896, prior_entropy: 1.3212, recall: 0.8896, relative_absolute_error: 0.3834, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.6027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.3939, kappa: -0.0059, kb_relative_information_score: 0.0472, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.4196, predictive_accuracy: 0.4576, prior_entropy: 1.3212, recall: 0.4576, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4356, root_relative_squared_error: 1, scimark_benchmark: 920.9011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7441, kappa: 0.579, kb_relative_information_score: 302.0194, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7196, predictive_accuracy: 0.7712, prior_entropy: 1.3212, recall: 0.7712, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.8186, scimark_benchmark: 909.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.8651, kappa: 0.8162, kb_relative_information_score: 384.6947, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.833, predictive_accuracy: 0.9008, prior_entropy: 1.3212, recall: 0.9008, relative_absolute_error: 0.3989, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.248, root_relative_squared_error: 0.5694, scimark_benchmark: 929.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.5589, kappa: 0.2285, kb_relative_information_score: 162.8378, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.5381, predictive_accuracy: 0.584, prior_entropy: 1.3212, recall: 0.584, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.209, scimark_benchmark: 921.4297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8565, kappa: 0.8012, kb_relative_information_score: 217.2509, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8234, predictive_accuracy: 0.8928, prior_entropy: 1.3212, recall: 0.8928, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.7796, scimark_benchmark: 943.0628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.3939, kappa: -0.0059, kb_relative_information_score: 0.0472, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.4196, predictive_accuracy: 0.4576, prior_entropy: 1.3212, recall: 0.4576, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4356, root_relative_squared_error: 1, scimark_benchmark: 907.8982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8717, kappa: 0.8309, kb_relative_information_score: 223.603, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8376, predictive_accuracy: 0.9088, prior_entropy: 1.3212, recall: 0.9088, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.7675, scimark_benchmark: 943.9948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8411, kappa: 0.7715, kb_relative_information_score: 210.8988, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8084, predictive_accuracy: 0.8768, prior_entropy: 1.3212, recall: 0.8768, relative_absolute_error: 0.7031, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.7916, scimark_benchmark: 908.9418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8541, kappa: 0.7783, kb_relative_information_score: 364.1544, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8348, predictive_accuracy: 0.8784, prior_entropy: 1.3212, recall: 0.8784, relative_absolute_error: 0.3749, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.6282, scimark_benchmark: 881.4574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9526, kappa: 0.9159, kb_relative_information_score: 310.8574, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9534, predictive_accuracy: 0.952, prior_entropy: 1.3212, recall: 0.952, relative_absolute_error: 0.6226, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2971, root_relative_squared_error: 0.6822, scimark_benchmark: 941.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.8076, kappa: 0.6606, kb_relative_information_score: 371.3083, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8108, predictive_accuracy: 0.8064, prior_entropy: 1.3212, recall: 0.8064, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.7074, scimark_benchmark: 948.1974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.8057, kappa: 0.6459, kb_relative_information_score: 363.5708, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8165, predictive_accuracy: 0.7952, prior_entropy: 1.3212, recall: 0.7952, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.8483, scimark_benchmark: 943.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.8303, kappa: 0.7507, kb_relative_information_score: 214.7627, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7978, predictive_accuracy: 0.8656, prior_entropy: 1.3212, recall: 0.8656, relative_absolute_error: 0.693, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.7335, scimark_benchmark: 916.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8154, kappa: 0.6817, kb_relative_information_score: 394.125, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8106, predictive_accuracy: 0.8208, prior_entropy: 1.3212, recall: 0.8208, relative_absolute_error: 0.3506, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.7099, scimark_benchmark: 926.7065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.5589, kappa: 0.2285, kb_relative_information_score: 162.8378, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.5381, predictive_accuracy: 0.584, prior_entropy: 1.3212, recall: 0.584, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.209, scimark_benchmark: 948.8493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.8899, kappa: 0.8466, kb_relative_information_score: 241.6397, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9228, predictive_accuracy: 0.9168, prior_entropy: 1.3212, recall: 0.9168, relative_absolute_error: 0.6722, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.7511, scimark_benchmark: 916.3255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8717, kappa: 0.8309, kb_relative_information_score: 223.603, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8376, predictive_accuracy: 0.9088, prior_entropy: 1.3212, recall: 0.9088, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.7675, scimark_benchmark: 923.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7939, kappa: 0.6337, kb_relative_information_score: 343.6767, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7993, predictive_accuracy: 0.7904, prior_entropy: 1.3212, recall: 0.7904, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8595, kappa: 0.8071, kb_relative_information_score: 218.5213, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.826, predictive_accuracy: 0.896, prior_entropy: 1.3212, recall: 0.896, relative_absolute_error: 0.6919, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.7772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8469, kappa: 0.7324, kb_relative_information_score: 225.9652, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8458, predictive_accuracy: 0.848, prior_entropy: 1.3212, recall: 0.848, relative_absolute_error: 0.7116, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.7998, scimark_benchmark: 948.3902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.8649, kappa: 0.8162, kb_relative_information_score: 392.6957, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8319, predictive_accuracy: 0.9008, prior_entropy: 1.3212, recall: 0.9008, relative_absolute_error: 0.3946, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.555, scimark_benchmark: 947.6359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.6918, kappa: 0.4837, kb_relative_information_score: 155.6026, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6657, predictive_accuracy: 0.7216, prior_entropy: 1.3212, recall: 0.7216, relative_absolute_error: 0.8184, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.8239, scimark_benchmark: 946.7783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.8595, kappa: 0.8071, kb_relative_information_score: 218.5213, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8258, predictive_accuracy: 0.896, prior_entropy: 1.3212, recall: 0.896, relative_absolute_error: 0.6919, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.7772, scimark_benchmark: 941.4247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.8426, kappa: 0.7745, kb_relative_information_score: 342.4424, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8101, predictive_accuracy: 0.8784, prior_entropy: 1.3212, recall: 0.8784, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.5915, scimark_benchmark: 930.7289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.8213, kappa: 0.7262, kb_relative_information_score: 326.4764, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7936, predictive_accuracy: 0.8512, prior_entropy: 1.3212, recall: 0.8512, relative_absolute_error: 0.4732, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.275, root_relative_squared_error: 0.6313, scimark_benchmark: 945.4187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9616, kappa: 0.9371, kb_relative_information_score: 523.9066, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9634, predictive_accuracy: 0.9648, prior_entropy: 1.3212, recall: 0.9648, relative_absolute_error: 0.1824, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.3662, scimark_benchmark: 947.6398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9015, kappa: 0.8207, kb_relative_information_score: 486.0961, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9096, predictive_accuracy: 0.896, prior_entropy: 1.3212, recall: 0.896, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.4801, scimark_benchmark: 1948.0299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.8487, kappa: 0.7864, kb_relative_information_score: 214.0749, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8155, predictive_accuracy: 0.8848, prior_entropy: 1.3212, recall: 0.8848, relative_absolute_error: 0.6984, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.7856, scimark_benchmark: 2004.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.8702, kappa: 0.8279, kb_relative_information_score: 301.8087, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8361, predictive_accuracy: 0.9072, prior_entropy: 1.3212, recall: 0.9072, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.6308, scimark_benchmark: 2013.2882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.7453, kappa: 0.5835, kb_relative_information_score: 309.0908, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7184, predictive_accuracy: 0.7744, prior_entropy: 1.3212, recall: 0.7744, relative_absolute_error: 0.5117, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.7846, scimark_benchmark: 2009.2993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6114, f_measure: 0.5594, kappa: 0.2285, kb_relative_information_score: 67.1852, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.5379, predictive_accuracy: 0.584, prior_entropy: 1.3212, recall: 0.584, relative_absolute_error: 0.919, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.9778, scimark_benchmark: 2020.8213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.3939, kappa: -0.0059, kb_relative_information_score: 0.0472, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.4196, predictive_accuracy: 0.4576, prior_entropy: 1.3212, recall: 0.4576, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4356, root_relative_squared_error: 1, scimark_benchmark: 2018.9218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.6967, kappa: 0.4926, kb_relative_information_score: 226.4828, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6695, predictive_accuracy: 0.7264, prior_entropy: 1.3212, recall: 0.7264, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.7467, scimark_benchmark: 2016.8894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9687, kappa: 0.9441, kb_relative_information_score: 0.9363, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9697, predictive_accuracy: 0.968, prior_entropy: 1.3181, recall: 0.968, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.3353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2194, f_measure: 0.1307, kappa: -0.53, kb_relative_information_score: -0.4, mean_absolute_error: 0.5749, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.1265, predictive_accuracy: 0.1376, prior_entropy: 1.3181, recall: 0.1376, relative_absolute_error: 1.5139, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.7582, root_relative_squared_error: 1.7408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.8427, kappa: 0.7745, kb_relative_information_score: 352.7843, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8101, predictive_accuracy: 0.8784, prior_entropy: 1.3212, recall: 0.8784, relative_absolute_error: 0.443, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.5908, scimark_benchmark: 946.4387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.809, kappa: 0.6514, kb_relative_information_score: 368.1608, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8204, predictive_accuracy: 0.7984, prior_entropy: 1.3212, recall: 0.7984, relative_absolute_error: 0.3506, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.8067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, f_measure: 0.6138, kappa: 0.3323, kb_relative_information_score: 126.0677, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.5902, predictive_accuracy: 0.64, prior_entropy: 1.3212, recall: 0.64, relative_absolute_error: 0.8546, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.8964, scimark_benchmark: 925.7461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.7167, kappa: 0.5312, kb_relative_information_score: 157.6393, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6887, predictive_accuracy: 0.7472, prior_entropy: 1.3212, recall: 0.7472, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.8188, scimark_benchmark: 535.5248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.8185, kappa: 0.725, kb_relative_information_score: 412.0868, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7884, predictive_accuracy: 0.8512, prior_entropy: 1.3212, recall: 0.8512, relative_absolute_error: 0.2768, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.6655, scimark_benchmark: 946.3134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.7762, kappa: 0.5805, kb_relative_information_score: 321.3261, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8021, predictive_accuracy: 0.752, prior_entropy: 1.3212, recall: 0.752, relative_absolute_error: 0.4378, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.403, root_relative_squared_error: 0.9253, scimark_benchmark: 945.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.8177, kappa: 0.6961, kb_relative_information_score: 345.6933, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8055, predictive_accuracy: 0.8304, prior_entropy: 1.3212, recall: 0.8304, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.6427, scimark_benchmark: 941.7691,
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: 0.8402, f_measure: 0.7961, kappa: 0.6222, kb_relative_information_score: 349.6968, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8139, predictive_accuracy: 0.7792, prior_entropy: 1.3212, recall: 0.7792, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.8808, scimark_benchmark: 933.7524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.3939, kappa: -0.0059, kb_relative_information_score: 0.0472, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.4196, predictive_accuracy: 0.4576, prior_entropy: 1.3212, recall: 0.4576, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4356, root_relative_squared_error: 1, scimark_benchmark: 939.0729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.949, kappa: 0.9101, kb_relative_information_score: 555.9151, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9492, predictive_accuracy: 0.9488, prior_entropy: 1.3212, recall: 0.9488, relative_absolute_error: 0.0942, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.4213, scimark_benchmark: 944.9652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8257, kappa: 0.7395, kb_relative_information_score: 333.2829, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7957, predictive_accuracy: 0.8592, prior_entropy: 1.3212, recall: 0.8592, relative_absolute_error: 0.4542, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.6115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.5589, kappa: 0.2285, kb_relative_information_score: 162.8378, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.5381, predictive_accuracy: 0.584, prior_entropy: 1.3212, recall: 0.584, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.209, scimark_benchmark: 948.1556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.8395, kappa: 0.7685, kb_relative_information_score: 353.2858, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8067, predictive_accuracy: 0.8752, prior_entropy: 1.3212, recall: 0.8752, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2561, root_relative_squared_error: 0.5879, scimark_benchmark: 595.8589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9217, kappa: 0.8603, kb_relative_information_score: 520.2837, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.924, predictive_accuracy: 0.92, prior_entropy: 1.3212, recall: 0.92, relative_absolute_error: 0.1604, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.4763, scimark_benchmark: 941.6029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.8132, kappa: 0.6836, kb_relative_information_score: 346.065, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8043, predictive_accuracy: 0.8224, prior_entropy: 1.3212, recall: 0.8224, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.6384, scimark_benchmark: 931.7013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8579, kappa: 0.8042, kb_relative_information_score: 314.891, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8243, predictive_accuracy: 0.8944, prior_entropy: 1.3212, recall: 0.8944, relative_absolute_error: 0.4844, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.626, scimark_benchmark: 944.3024,
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: 0.972, f_measure: 0.8702, kappa: 0.8279, kb_relative_information_score: 301.8087, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8361, predictive_accuracy: 0.9072, prior_entropy: 1.3212, recall: 0.9072, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.6308, scimark_benchmark: 926.168,
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: 0.8395, f_measure: 0.7742, kappa: 0.6354, kb_relative_information_score: 310.0191, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7489, predictive_accuracy: 0.8016, prior_entropy: 1.3212, recall: 0.8016, relative_absolute_error: 0.5006, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.7826, scimark_benchmark: 929.4997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.7985, kappa: 0.6293, kb_relative_information_score: 357.1446, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.814, predictive_accuracy: 0.784, prior_entropy: 1.3212, recall: 0.784, relative_absolute_error: 0.378, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.8148, scimark_benchmark: 901.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.8658, kappa: 0.819, kb_relative_information_score: 292.5854, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8323, predictive_accuracy: 0.9024, prior_entropy: 1.3212, recall: 0.9024, relative_absolute_error: 0.5639, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.6421, scimark_benchmark: 905.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.8479, kappa: 0.7836, kb_relative_information_score: 447.316, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8153, predictive_accuracy: 0.8832, prior_entropy: 1.3212, recall: 0.8832, relative_absolute_error: 0.3087, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.5259, scimark_benchmark: 913.6165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.8502, kappa: 0.7893, kb_relative_information_score: 335.7666, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.817, predictive_accuracy: 0.8864, prior_entropy: 1.3212, recall: 0.8864, relative_absolute_error: 0.4502, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.5953, scimark_benchmark: 942.0468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8395, kappa: 0.7685, kb_relative_information_score: 364.2668, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8067, predictive_accuracy: 0.8752, prior_entropy: 1.3212, recall: 0.8752, relative_absolute_error: 0.4275, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.252, root_relative_squared_error: 0.5786, scimark_benchmark: 943.3106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7287, kappa: 0.5529, kb_relative_information_score: 213.9688, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7014, predictive_accuracy: 0.7584, prior_entropy: 1.3212, recall: 0.7584, relative_absolute_error: 0.693, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3553, root_relative_squared_error: 0.8157, scimark_benchmark: 942.8693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9326, kappa: 0.8798, kb_relative_information_score: 539.056, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9343, predictive_accuracy: 0.9312, prior_entropy: 1.3212, recall: 0.9312, relative_absolute_error: 0.1167, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.4643, scimark_benchmark: 944.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.7398, kappa: 0.5757, kb_relative_information_score: 142.8919, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7131, predictive_accuracy: 0.7712, prior_entropy: 1.3212, recall: 0.7712, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.83, scimark_benchmark: 876.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8318, kappa: 0.7537, kb_relative_information_score: 432.0024, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7992, predictive_accuracy: 0.8672, prior_entropy: 1.3212, recall: 0.8672, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6831, scimark_benchmark: 945.4519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8273, kappa: 0.7448, kb_relative_information_score: 209.9841, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7951, predictive_accuracy: 0.8624, prior_entropy: 1.3212, recall: 0.8624, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.75, scimark_benchmark: 934.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.8242, kappa: 0.7389, kb_relative_information_score: 425.6101, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7919, predictive_accuracy: 0.8592, prior_entropy: 1.3212, recall: 0.8592, relative_absolute_error: 0.3441, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.5223, scimark_benchmark: 920.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.7088, kappa: 0.5163, kb_relative_information_score: 210.9522, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6829, predictive_accuracy: 0.7392, prior_entropy: 1.3212, recall: 0.7392, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.8216, scimark_benchmark: 595.1715,
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: 0.942, f_measure: 0.7963, kappa: 0.6207, kb_relative_information_score: 348.9956, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8167, predictive_accuracy: 0.7776, prior_entropy: 1.3212, recall: 0.7776, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.8366, scimark_benchmark: 944.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.6918, kappa: 0.4837, kb_relative_information_score: 155.6026, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6657, predictive_accuracy: 0.7216, prior_entropy: 1.3212, recall: 0.7216, relative_absolute_error: 0.8184, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.8239, scimark_benchmark: 598.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9454, kappa: 0.9043, kb_relative_information_score: 554.9832, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9453, predictive_accuracy: 0.9456, prior_entropy: 1.3212, recall: 0.9456, relative_absolute_error: 0.0917, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.4176, scimark_benchmark: 596.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7961, kappa: 0.6222, kb_relative_information_score: 349.6968, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8139, predictive_accuracy: 0.7792, prior_entropy: 1.3212, recall: 0.7792, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.8808, scimark_benchmark: 595.9514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.7613, kappa: 0.6135, kb_relative_information_score: 305.8682, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7344, predictive_accuracy: 0.7904, prior_entropy: 1.3212, recall: 0.7904, relative_absolute_error: 0.4995, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.312, root_relative_squared_error: 0.7162, scimark_benchmark: 898.2221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.824, kappa: 0.6908, kb_relative_information_score: 384.5811, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.824, predictive_accuracy: 0.824, prior_entropy: 1.3212, recall: 0.824, relative_absolute_error: 0.3502, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.6574, scimark_benchmark: 898.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9229, kappa: 0.8714, kb_relative_information_score: 494.7955, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9209, predictive_accuracy: 0.928, prior_entropy: 1.3212, recall: 0.928, relative_absolute_error: 0.2259, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.4416, scimark_benchmark: 935.9897,

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