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Function: require_once

OpenML
OpenML
Supervised Classification on meta_all.arff

Supervised Classification on meta_all.arff

Task 2352 Supervised Classification meta_all.arff 308 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6746, f_measure: 0.5652, kappa: 0.1353, kb_relative_information_score: 4.5625, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5652, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 0.8827, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3067, root_relative_squared_error: 1.0509, scimark_benchmark: 1335.643, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5135, f_measure: 0.5708, kb_relative_information_score: -2.8427, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.4839, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 1.2379, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3329, root_relative_squared_error: 1.1403, scimark_benchmark: 1034.1273, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, f_measure: 0.658, kappa: 0.3521, kb_relative_information_score: -1.6398, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6832, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 1.248, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3356, root_relative_squared_error: 1.1499, scimark_benchmark: 932.5646, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, f_measure: 0.6147, kappa: 0.367, kb_relative_information_score: 5.2831, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.702, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8577, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3363, root_relative_squared_error: 1.1522, scimark_benchmark: 1331.6907, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.5529, kappa: 0.2813, kb_relative_information_score: 5.1723, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6966, predictive_accuracy: 0.5217, prior_entropy: 1.9094, recall: 0.5217, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3993, root_relative_squared_error: 1.3679, scimark_benchmark: 938.9967, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5708, kb_relative_information_score: 6.3365, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.4839, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.5305, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3185, root_relative_squared_error: 1.0912, scimark_benchmark: 1325.2092, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.655, f_measure: 0.5913, kappa: 0.193, kb_relative_information_score: 4.9472, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6418, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3305, root_relative_squared_error: 1.1321, scimark_benchmark: 1304.9611, usercpu_time_millis: 1180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, f_measure: 0.6625, kappa: 0.4103, kb_relative_information_score: 4.1899, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7246, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.9835, scimark_benchmark: 1346.9602, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.527, kappa: 0.2561, kb_relative_information_score: 4.1686, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7211, predictive_accuracy: 0.4783, prior_entropy: 1.9094, recall: 0.4783, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.417, root_relative_squared_error: 1.4287, scimark_benchmark: 1361.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5592, f_measure: 0.5913, kappa: 0.1598, kb_relative_information_score: 1.8521, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5416, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 0.9314, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3107, root_relative_squared_error: 1.0644, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6008, f_measure: 0.5377, kappa: 0.1481, kb_relative_information_score: 2.4684, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5786, predictive_accuracy: 0.5217, prior_entropy: 1.9094, recall: 0.5217, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3746, root_relative_squared_error: 1.2834, scimark_benchmark: 1346.9602, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5464, f_measure: 0.561, kappa: 0.1, kb_relative_information_score: 4.6955, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5242, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3612, root_relative_squared_error: 1.2373, scimark_benchmark: 1291.6995, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -10.5894, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.1912, number_of_instances: 23, prior_entropy: 1.9094, relative_absolute_error: 1.7431, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.978, scimark_benchmark: 1368.9272, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.6381, kappa: 0.393, kb_relative_information_score: 7.398, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7514, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3612, root_relative_squared_error: 1.2374, scimark_benchmark: 1341.2341, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5952, f_measure: 0.6145, kappa: 0.2069, kb_relative_information_score: 6.8112, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5507, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.5305, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3185, root_relative_squared_error: 1.0912, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6119, f_measure: 0.5707, kappa: 0.215, kb_relative_information_score: 4.6954, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6112, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3807, root_relative_squared_error: 1.3043, scimark_benchmark: 1345.5871, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5708, kb_relative_information_score: -1.1747, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.4839, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 1.0666, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2998, root_relative_squared_error: 1.0272, scimark_benchmark: 1066.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7325, f_measure: 0.575, kappa: 0.2359, kb_relative_information_score: 6.5921, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6112, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3422, root_relative_squared_error: 1.1724, scimark_benchmark: 1028.5889, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7108, build_cpu_time: 2.666, build_memory: 902742992, f_measure: 0.6435, kappa: 0.3566, kb_relative_information_score: 8.4957, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6615, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 0.5858, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3205, root_relative_squared_error: 1.0981, scimark_benchmark: 926.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, build_cpu_time: 2.705, build_memory: 1017461816, f_measure: 0.6772, kappa: 0.4651, kb_relative_information_score: 8.864, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7146, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.5709, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3176, root_relative_squared_error: 1.0882, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, build_cpu_time: 1.094, build_memory: 1733004480, f_measure: 0.6834, kappa: 0.4633, kb_relative_information_score: 9.2648, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7204, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.5437, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3129, root_relative_squared_error: 1.072, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, build_cpu_time: 0.507, build_memory: 643509224, f_measure: 0.6917, kappa: 0.4615, kb_relative_information_score: 8.6331, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7291, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3075, root_relative_squared_error: 1.0536, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6108, build_cpu_time: 0.007, build_memory: 423583376, f_measure: 0.5855, kappa: 0.1521, kb_relative_information_score: -3.971, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5343, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 1.3099, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3392, root_relative_squared_error: 1.1621, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6108, build_cpu_time: 0.01, build_memory: 1427318976, f_measure: 0.5855, kappa: 0.1521, kb_relative_information_score: -3.971, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5343, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 1.3099, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3392, root_relative_squared_error: 1.1621, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6108, build_cpu_time: 0.011, build_memory: 1379239032, f_measure: 0.5855, kappa: 0.1521, kb_relative_information_score: -3.971, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5343, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 1.3099, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3392, root_relative_squared_error: 1.1621, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6108, build_cpu_time: 0.009, build_memory: 251842768, f_measure: 0.5855, kappa: 0.1521, kb_relative_information_score: -3.971, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5343, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 1.3099, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3392, root_relative_squared_error: 1.1621, scimark_benchmark: 907.3828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6108, build_cpu_time: 0.017, build_memory: 104006520, f_measure: 0.5855, kappa: 0.1521, kb_relative_information_score: -3.971, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5343, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 1.3099, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3392, root_relative_squared_error: 1.1621, scimark_benchmark: 918.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5652, build_cpu_time: 0.004, build_memory: 718792760, f_measure: 0.4295, kappa: 0.1178, kb_relative_information_score: 1.5782, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5815, predictive_accuracy: 0.3913, prior_entropy: 1.9094, recall: 0.3913, relative_absolute_error: 1.061, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.4504, root_relative_squared_error: 1.5432, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5652, build_cpu_time: 0.004, build_memory: 252714032, f_measure: 0.4295, kappa: 0.1178, kb_relative_information_score: 1.5782, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5815, predictive_accuracy: 0.3913, prior_entropy: 1.9094, recall: 0.3913, relative_absolute_error: 1.061, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.4504, root_relative_squared_error: 1.5432, scimark_benchmark: 925.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5652, build_cpu_time: 0.002, build_memory: 297631592, f_measure: 0.4295, kappa: 0.1178, kb_relative_information_score: 1.5782, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5815, predictive_accuracy: 0.3913, prior_entropy: 1.9094, recall: 0.3913, relative_absolute_error: 1.061, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.4504, root_relative_squared_error: 1.5432, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5652, build_cpu_time: 0.001, build_memory: 703921720, f_measure: 0.4295, kappa: 0.1178, kb_relative_information_score: 1.5782, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5815, predictive_accuracy: 0.3913, prior_entropy: 1.9094, recall: 0.3913, relative_absolute_error: 1.061, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.4504, root_relative_squared_error: 1.5432, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5652, build_cpu_time: 0.001, build_memory: 1186458688, f_measure: 0.4295, kappa: 0.1178, kb_relative_information_score: 1.5782, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5815, predictive_accuracy: 0.3913, prior_entropy: 1.9094, recall: 0.3913, relative_absolute_error: 1.061, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.4504, root_relative_squared_error: 1.5432, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7531, build_cpu_time: 0.04, build_memory: 1313645832, f_measure: 0.7559, kappa: 0.5772, kb_relative_information_score: 4.1886, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7507, predictive_accuracy: 0.7826, prior_entropy: 1.9094, recall: 0.7826, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.9635, scimark_benchmark: 939.9709,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5532, build_cpu_time: 0.054, build_memory: 867732104, f_measure: 0.561, kappa: 0.1116, kb_relative_information_score: 2.4392, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5242, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3148, root_relative_squared_error: 1.0785, scimark_benchmark: 947.8637,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5693, build_cpu_time: 0.013, build_memory: 578404488, f_measure: 0.5565, kappa: 0.098, kb_relative_information_score: 1.8942, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5507, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 0.9101, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3511, root_relative_squared_error: 1.2027, scimark_benchmark: 943.1817,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5917, build_memory: 744510464, f_measure: 0.5377, kappa: 0.151, kb_relative_information_score: 3.4972, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5786, predictive_accuracy: 0.5217, prior_entropy: 1.9094, recall: 0.5217, relative_absolute_error: 0.9024, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3787, root_relative_squared_error: 1.2975, scimark_benchmark: 906.631,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, build_cpu_time: 0.071, build_memory: 74073320, f_measure: 0.658, kappa: 0.3521, kb_relative_information_score: -1.6398, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6832, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 1.248, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3356, root_relative_squared_error: 1.1499, scimark_benchmark: 928.1083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7239, build_cpu_time: 0.142, build_memory: 739218496, f_measure: 0.5064, kappa: 0.193, kb_relative_information_score: 5.0264, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6145, predictive_accuracy: 0.4783, prior_entropy: 1.9094, recall: 0.4783, relative_absolute_error: 0.8414, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.392, root_relative_squared_error: 1.3429, scimark_benchmark: 949.8157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4655, build_cpu_time: 0.001, build_memory: 250821728, f_measure: 0.4608, kappa: -0.0136, kb_relative_information_score: 0.8109, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5033, predictive_accuracy: 0.4348, prior_entropy: 1.9094, recall: 0.4348, relative_absolute_error: 0.9577, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.4157, root_relative_squared_error: 1.4241, scimark_benchmark: 942.9279,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, build_cpu_time: 0.019, build_memory: 316368600, f_measure: 0.5668, kappa: 0.0961, kb_relative_information_score: 1.2913, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5314, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 1.0208, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3126, root_relative_squared_error: 1.0709, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, build_cpu_time: 0.014, build_memory: 696060464, f_measure: 0.5668, kappa: 0.0961, kb_relative_information_score: 1.2913, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5314, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 1.0208, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3126, root_relative_squared_error: 1.0709, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7325, build_cpu_time: 0.005, build_memory: 564346664, f_measure: 0.575, kappa: 0.2359, kb_relative_information_score: 6.5921, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6112, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3422, root_relative_squared_error: 1.1724, scimark_benchmark: 938.2445,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_memory: 142763696, f_measure: 0.5708, kb_relative_information_score: -1.1747, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.4839, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 1.0666, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2998, root_relative_squared_error: 1.0272, scimark_benchmark: 946.9694,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4655, build_cpu_time: 0.001, build_memory: 115399336, f_measure: 0.4608, kappa: -0.0136, kb_relative_information_score: 0.8109, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5033, predictive_accuracy: 0.4348, prior_entropy: 1.9094, recall: 0.4348, relative_absolute_error: 0.9577, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.4157, root_relative_squared_error: 1.4241, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, build_cpu_time: 0.375, build_memory: 618490040, f_measure: 0.5734, kappa: 0.1697, kb_relative_information_score: -2.3661, mean_absolute_error: 0.2435, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5855, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 1.2732, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3369, root_relative_squared_error: 1.1544, scimark_benchmark: 928.8874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, build_cpu_time: 0.438, build_memory: 1284430848, f_measure: 0.5734, kappa: 0.1697, kb_relative_information_score: -2.3661, mean_absolute_error: 0.2435, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5855, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 1.2732, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3369, root_relative_squared_error: 1.1544, scimark_benchmark: 938.2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, build_cpu_time: 0.814, build_memory: 2167105912, f_measure: 0.5734, kappa: 0.1697, kb_relative_information_score: -1.9772, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5855, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 1.2626, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3342, root_relative_squared_error: 1.145, scimark_benchmark: 947.7504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, build_cpu_time: 1.584, build_memory: 727240008, f_measure: 0.6516, kappa: 0.3185, kb_relative_information_score: -1.8831, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.658, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 1.2588, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3333, root_relative_squared_error: 1.1421, scimark_benchmark: 927.4148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7072, build_cpu_time: 3.368, build_memory: 1564890880, f_measure: 0.5494, kappa: 0.0574, kb_relative_information_score: -1.8584, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5345, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 1.2554, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3323, root_relative_squared_error: 1.1384, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, build_cpu_time: 6.178, build_memory: 1170188456, f_measure: 0.5494, kappa: 0.0574, kb_relative_information_score: -1.9277, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5345, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 1.2585, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.333, root_relative_squared_error: 1.1408, scimark_benchmark: 947.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, build_cpu_time: 0.253, build_memory: 151824152, f_measure: 0.5411, kappa: -0.0299, kb_relative_information_score: 1.7446, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.487, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.9888, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2941, root_relative_squared_error: 1.0077, scimark_benchmark: 933.4451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6496, build_cpu_time: 0.128, build_memory: 917794928, f_measure: 0.5411, kappa: -0.0299, kb_relative_information_score: 2.0274, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.487, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.975, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2924, root_relative_squared_error: 1.0018, scimark_benchmark: 902.5808,

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