Task
Supervised Classification on meta_ensembles.arff

Supervised Classification on meta_ensembles.arff

Task 2978 Supervised Classification meta_ensembles.arff 174 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, build_cpu_time: 1.0031, build_memory: 186455583.1135, f_measure: 0.6141, kappa: 0.2745, kb_relative_information_score: 190.722, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6535, predictive_accuracy: 0.6635, prior_entropy: 1.5899, recall: 0.6635, relative_absolute_error: 0.8121, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.9394, scimark_benchmark: 869.5506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, build_cpu_time: 0.1505, build_memory: 906170279.6649, f_measure: 0.6456, kappa: 0.3567, kb_relative_information_score: 192.0425, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.644, predictive_accuracy: 0.6622, prior_entropy: 1.5899, recall: 0.6622, relative_absolute_error: 0.8201, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.9479, scimark_benchmark: 937.1191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, build_cpu_time: 0.0826, build_memory: 1830023746.4432, f_measure: 0.6348, kappa: 0.3437, kb_relative_information_score: 194.8333, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6279, predictive_accuracy: 0.6514, prior_entropy: 1.5899, recall: 0.6514, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9542, scimark_benchmark: 890.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, build_cpu_time: 1.3631, build_memory: 599134156.7243, f_measure: 0.6113, kappa: 0.2701, kb_relative_information_score: 194.1323, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6537, predictive_accuracy: 0.6608, prior_entropy: 1.5899, recall: 0.6608, relative_absolute_error: 0.8095, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.935, scimark_benchmark: 943.1544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, build_cpu_time: 0.2718, build_memory: 1055766371.3622, f_measure: 0.6502, kappa: 0.3646, kb_relative_information_score: 193.7085, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6478, predictive_accuracy: 0.6689, prior_entropy: 1.5899, recall: 0.6689, relative_absolute_error: 0.8178, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.357, root_relative_squared_error: 0.9441, scimark_benchmark: 903.9165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, build_cpu_time: 0.2873, build_memory: 3035115474.5946, f_measure: 0.6502, kappa: 0.3646, kb_relative_information_score: 193.7085, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6478, predictive_accuracy: 0.6689, prior_entropy: 1.5899, recall: 0.6689, relative_absolute_error: 0.8178, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.357, root_relative_squared_error: 0.9441, scimark_benchmark: 946.3774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7025, build_cpu_time: 0.5481, build_memory: 279929933.6216, f_measure: 0.6529, kappa: 0.3697, kb_relative_information_score: 195.0526, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6508, predictive_accuracy: 0.6716, prior_entropy: 1.5899, recall: 0.6716, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.9404, scimark_benchmark: 927.1504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7025, build_cpu_time: 0.5618, build_memory: 756837527.6216, f_measure: 0.6529, kappa: 0.3697, kb_relative_information_score: 195.0526, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6508, predictive_accuracy: 0.6716, prior_entropy: 1.5899, recall: 0.6716, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.9404, scimark_benchmark: 920.3655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.5308, kappa: 0.1714, kb_relative_information_score: 139.0272, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.5275, predictive_accuracy: 0.5351, prior_entropy: 1.5899, recall: 0.5351, relative_absolute_error: 0.8328, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4356, root_relative_squared_error: 1.152, scimark_benchmark: 1342.3004, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.5308, kappa: 0.1714, kb_relative_information_score: 139.0272, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.5275, predictive_accuracy: 0.5351, prior_entropy: 1.5899, recall: 0.5351, relative_absolute_error: 0.8328, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4356, root_relative_squared_error: 1.152, scimark_benchmark: 1301.2156, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.6307, kappa: 0.3326, kb_relative_information_score: 188.0688, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6271, predictive_accuracy: 0.6608, prior_entropy: 1.5899, recall: 0.6608, relative_absolute_error: 0.8297, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.9374, scimark_benchmark: 942.9708, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.6307, kappa: 0.3326, kb_relative_information_score: 188.0688, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6271, predictive_accuracy: 0.6608, prior_entropy: 1.5899, recall: 0.6608, relative_absolute_error: 0.8297, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.9374, scimark_benchmark: 1319.9043, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5251, f_measure: 0.5004, kappa: 0.0784, kb_relative_information_score: 37.2396, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4448, predictive_accuracy: 0.5986, prior_entropy: 1.5899, recall: 0.5986, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3903, root_relative_squared_error: 1.032, scimark_benchmark: 915.9693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.5395, kappa: 0.1618, kb_relative_information_score: 120.1422, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.519, predictive_accuracy: 0.5784, prior_entropy: 1.5899, recall: 0.5784, relative_absolute_error: 0.8625, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4168, root_relative_squared_error: 1.1021, scimark_benchmark: 939.9176, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5587, f_measure: 0.5177, kappa: 0.141, kb_relative_information_score: 150.8712, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.5055, predictive_accuracy: 0.5365, prior_entropy: 1.5899, recall: 0.5365, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.273, scimark_benchmark: 1418.5826, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6137, f_measure: 0.5327, kappa: 0.1788, kb_relative_information_score: 147.2602, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.5347, predictive_accuracy: 0.5324, prior_entropy: 1.5899, recall: 0.5324, relative_absolute_error: 0.8193, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4613, root_relative_squared_error: 1.2198, scimark_benchmark: 1339.4189, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5251, f_measure: 0.5004, kappa: 0.0784, kb_relative_information_score: 37.2396, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4448, predictive_accuracy: 0.5986, prior_entropy: 1.5899, recall: 0.5986, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3903, root_relative_squared_error: 1.032, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5251, f_measure: 0.5004, kappa: 0.0784, kb_relative_information_score: 37.2396, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4448, predictive_accuracy: 0.5986, prior_entropy: 1.5899, recall: 0.5986, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3903, root_relative_squared_error: 1.032, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6221, f_measure: 0.6079, kappa: 0.2804, kb_relative_information_score: 251.6247, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6088, predictive_accuracy: 0.6432, prior_entropy: 1.5899, recall: 0.6432, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4223, root_relative_squared_error: 1.1168, scimark_benchmark: 1327.8711, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5196, f_measure: 0.5091, kappa: 0.0775, kb_relative_information_score: 54.8655, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.5224, predictive_accuracy: 0.6014, prior_entropy: 1.5899, recall: 0.6014, relative_absolute_error: 0.9471, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3872, root_relative_squared_error: 1.0239, scimark_benchmark: 1306.6379, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5072, f_measure: 0.0351, kappa: 0.0067, kb_relative_information_score: -275.4956, mean_absolute_error: 0.4595, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6127, predictive_accuracy: 0.0811, prior_entropy: 1.5899, recall: 0.0811, relative_absolute_error: 1.5823, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.6778, root_relative_squared_error: 1.7924, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.5308, kappa: 0.1714, kb_relative_information_score: 139.0272, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.5275, predictive_accuracy: 0.5351, prior_entropy: 1.5899, recall: 0.5351, relative_absolute_error: 0.8328, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4356, root_relative_squared_error: 1.152, scimark_benchmark: 1301.9176, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.636, f_measure: 0.4972, kappa: 0.058, kb_relative_information_score: 78.7994, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4821, predictive_accuracy: 0.6068, prior_entropy: 1.5899, recall: 0.6068, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.977, scimark_benchmark: 918.0213, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6531, f_measure: 0.5831, kappa: 0.2541, kb_relative_information_score: 230.9035, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.5609, predictive_accuracy: 0.6324, prior_entropy: 1.5899, recall: 0.6324, relative_absolute_error: 0.6872, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.408, root_relative_squared_error: 1.0788, scimark_benchmark: 1331.6907, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.5308, kappa: 0.1714, kb_relative_information_score: 139.0272, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.5275, predictive_accuracy: 0.5351, prior_entropy: 1.5899, recall: 0.5351, relative_absolute_error: 0.8328, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4356, root_relative_squared_error: 1.152, scimark_benchmark: 1341.7207, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, f_measure: 0.5336, kappa: 0.1505, kb_relative_information_score: 94.3645, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.509, predictive_accuracy: 0.5986, prior_entropy: 1.5899, recall: 0.5986, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4009, root_relative_squared_error: 1.0602, scimark_benchmark: 1384.4422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4072, f_measure: 0.4599, kb_relative_information_score: -2.0768, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.3698, predictive_accuracy: 0.6081, prior_entropy: 1.5899, recall: 0.6081, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3792, root_relative_squared_error: 1.0027, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5193, f_measure: 0.4918, kappa: 0.0533, kb_relative_information_score: 149.4009, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4488, predictive_accuracy: 0.5716, prior_entropy: 1.5899, recall: 0.5716, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4628, root_relative_squared_error: 1.2238, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5876, f_measure: 0.5542, kappa: 0.2146, kb_relative_information_score: 143.2074, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.5526, predictive_accuracy: 0.5568, prior_entropy: 1.5899, recall: 0.5568, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4419, root_relative_squared_error: 1.1686, scimark_benchmark: 977.6382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.716, f_measure: 0.624, kappa: 0.3356, kb_relative_information_score: 199.2566, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.623, predictive_accuracy: 0.6392, prior_entropy: 1.5899, recall: 0.6392, relative_absolute_error: 0.7987, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.9802, scimark_benchmark: 942.9708, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5787, f_measure: 0.5156, kappa: 0.1635, kb_relative_information_score: 132.724, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.5246, predictive_accuracy: 0.5081, prior_entropy: 1.5899, recall: 0.5081, relative_absolute_error: 0.847, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4959, root_relative_squared_error: 1.3114, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6682, f_measure: 0.5931, kappa: 0.3109, kb_relative_information_score: 229.2778, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6119, predictive_accuracy: 0.5811, prior_entropy: 1.5899, recall: 0.5811, relative_absolute_error: 0.7214, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4577, root_relative_squared_error: 1.2102, scimark_benchmark: 939.5088, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.4535, kappa: -0.0156, kb_relative_information_score: 158.1965, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.3665, predictive_accuracy: 0.5946, prior_entropy: 1.5899, recall: 0.5946, relative_absolute_error: 0.6981, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4502, root_relative_squared_error: 1.1905, scimark_benchmark: 1310.3951, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6754, f_measure: 0.6448, kappa: 0.3756, kb_relative_information_score: 70.1243, mean_absolute_error: 0.2957, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6473, predictive_accuracy: 0.673, prior_entropy: 1.5899, recall: 0.673, relative_absolute_error: 1.0184, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.9986, scimark_benchmark: 915.9324, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.5697, kappa: 0.2709, kb_relative_information_score: 191.8375, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.5837, predictive_accuracy: 0.5608, prior_entropy: 1.5899, recall: 0.5608, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4558, root_relative_squared_error: 1.2053, scimark_benchmark: 1349.9741, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.5603, kappa: 0.1824, kb_relative_information_score: 149.0224, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.5733, predictive_accuracy: 0.6338, prior_entropy: 1.5899, recall: 0.6338, relative_absolute_error: 0.8767, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.9374, scimark_benchmark: 833.3193, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6418, f_measure: 0.5697, kappa: 0.2709, kb_relative_information_score: 203.9868, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.5837, predictive_accuracy: 0.5608, prior_entropy: 1.5899, recall: 0.5608, relative_absolute_error: 0.7563, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4686, root_relative_squared_error: 1.2391, scimark_benchmark: 1346.3935, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5522, f_measure: 0.5175, kappa: 0.1231, kb_relative_information_score: 109.1782, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4866, predictive_accuracy: 0.573, prior_entropy: 1.5899, recall: 0.573, relative_absolute_error: 0.8879, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4126, root_relative_squared_error: 1.091, scimark_benchmark: 1334.2813,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.5196, kappa: 0.1274, kb_relative_information_score: 111.8458, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4892, predictive_accuracy: 0.5757, prior_entropy: 1.5899, recall: 0.5757, relative_absolute_error: 0.8823, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4101, root_relative_squared_error: 1.0845, scimark_benchmark: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.6307, kappa: 0.3326, kb_relative_information_score: 188.0688, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6271, predictive_accuracy: 0.6608, prior_entropy: 1.5899, recall: 0.6608, relative_absolute_error: 0.8297, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.9374, scimark_benchmark: 1310.6554, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.5196, kappa: 0.1274, kb_relative_information_score: 111.8458, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4892, predictive_accuracy: 0.5757, prior_entropy: 1.5899, recall: 0.5757, relative_absolute_error: 0.8823, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4101, root_relative_squared_error: 1.0845, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5251, f_measure: 0.5004, kappa: 0.0784, kb_relative_information_score: 37.2396, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4448, predictive_accuracy: 0.5986, prior_entropy: 1.5899, recall: 0.5986, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3903, root_relative_squared_error: 1.032, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5251, f_measure: 0.5004, kappa: 0.0784, kb_relative_information_score: 37.2396, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4448, predictive_accuracy: 0.5986, prior_entropy: 1.5899, recall: 0.5986, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3903, root_relative_squared_error: 1.032, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5245, f_measure: 0.5057, kappa: 0.0892, kb_relative_information_score: 40.6793, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4521, predictive_accuracy: 0.6054, prior_entropy: 1.5899, recall: 0.6054, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3893, root_relative_squared_error: 1.0294, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5251, f_measure: 0.5004, kappa: 0.0784, kb_relative_information_score: 37.2396, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4448, predictive_accuracy: 0.5986, prior_entropy: 1.5899, recall: 0.5986, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3903, root_relative_squared_error: 1.032, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.4535, kappa: -0.0156, kb_relative_information_score: 158.1965, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.3665, predictive_accuracy: 0.5946, prior_entropy: 1.5899, recall: 0.5946, relative_absolute_error: 0.6981, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4502, root_relative_squared_error: 1.1905, scimark_benchmark: 1317.5857, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.6149, kappa: 0.3159, kb_relative_information_score: 228.7105, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6101, predictive_accuracy: 0.6243, prior_entropy: 1.5899, recall: 0.6243, relative_absolute_error: 0.7173, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3984, root_relative_squared_error: 1.0534, scimark_benchmark: 1322.7257, usercpu_time_millis: 1060, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5551, f_measure: 0.5221, kappa: 0.1311, kb_relative_information_score: 113.475, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4921, predictive_accuracy: 0.5797, prior_entropy: 1.5899, recall: 0.5797, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4086, root_relative_squared_error: 1.0805, scimark_benchmark: 1404.0159, usercpu_time_millis: 350, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, f_measure: 0.5336, kappa: 0.1505, kb_relative_information_score: 94.3645, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.509, predictive_accuracy: 0.5986, prior_entropy: 1.5899, recall: 0.5986, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4009, root_relative_squared_error: 1.0602, scimark_benchmark: 904.3681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, f_measure: 0.6081, kappa: 0.3563, kb_relative_information_score: 47.9179, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6467, predictive_accuracy: 0.5919, prior_entropy: 1.5899, recall: 0.5919, relative_absolute_error: 1.0649, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.41, root_relative_squared_error: 1.0842, scimark_benchmark: 1313.6093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.595, f_measure: 0.5696, kappa: 0.2307, kb_relative_information_score: 148.4966, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.5451, predictive_accuracy: 0.6095, prior_entropy: 1.5899, recall: 0.6095, relative_absolute_error: 0.8374, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3965, root_relative_squared_error: 1.0485, scimark_benchmark: 1329.0249, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6598, f_measure: 0.5859, kappa: 0.2565, kb_relative_information_score: 222.2995, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.5775, predictive_accuracy: 0.6014, prior_entropy: 1.5899, recall: 0.6014, relative_absolute_error: 0.6874, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4302, root_relative_squared_error: 1.1375, scimark_benchmark: 1354.686, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, f_measure: 0.5336, kappa: 0.1505, kb_relative_information_score: 94.3645, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.509, predictive_accuracy: 0.5986, prior_entropy: 1.5899, recall: 0.5986, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4009, root_relative_squared_error: 1.0602, scimark_benchmark: 1339.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6614, f_measure: 0.5968, kappa: 0.293, kb_relative_information_score: 213.5561, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.5921, predictive_accuracy: 0.6054, prior_entropy: 1.5899, recall: 0.6054, relative_absolute_error: 0.7347, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4223, root_relative_squared_error: 1.1167, scimark_benchmark: 1319.6463, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, f_measure: 0.4849, kappa: 0.0351, kb_relative_information_score: 81.8257, mean_absolute_error: 0.2717, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4579, predictive_accuracy: 0.6, prior_entropy: 1.5899, recall: 0.6, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.9709, scimark_benchmark: 1348.7888, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5251, f_measure: 0.5004, kappa: 0.0784, kb_relative_information_score: 37.2396, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4448, predictive_accuracy: 0.5986, prior_entropy: 1.5899, recall: 0.5986, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3903, root_relative_squared_error: 1.032, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4072, f_measure: 0.4599, kb_relative_information_score: -2.0768, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.3698, predictive_accuracy: 0.6081, prior_entropy: 1.5899, recall: 0.6081, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3792, root_relative_squared_error: 1.0027, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, f_measure: 0.6453, kappa: 0.3677, kb_relative_information_score: 215.4337, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6366, predictive_accuracy: 0.6622, prior_entropy: 1.5899, recall: 0.6622, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.358, root_relative_squared_error: 0.9466, scimark_benchmark: 936.7286, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.4879, kappa: 0.0403, kb_relative_information_score: 81.7572, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4787, predictive_accuracy: 0.6054, prior_entropy: 1.5899, recall: 0.6054, relative_absolute_error: 0.9352, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.9697, scimark_benchmark: 1347.5461, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5081, f_measure: 0.5004, kappa: 0.0784, kb_relative_information_score: 69.5037, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.4448, predictive_accuracy: 0.5986, prior_entropy: 1.5899, recall: 0.5986, relative_absolute_error: 0.9451, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3893, root_relative_squared_error: 1.0294, scimark_benchmark: 1349.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6682, f_measure: 0.5931, kappa: 0.3109, kb_relative_information_score: 229.2778, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6119, predictive_accuracy: 0.5811, prior_entropy: 1.5899, recall: 0.5811, relative_absolute_error: 0.7214, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.4577, root_relative_squared_error: 1.2102, scimark_benchmark: 1327.035, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.5683, kappa: 0.1962, kb_relative_information_score: 144.9867, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.5796, predictive_accuracy: 0.6311, prior_entropy: 1.5899, recall: 0.6311, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.9459, scimark_benchmark: 1327.2954, usercpu_time_millis: 50, usercpu_time_millis_training: 50,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs