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OpenML
Task
Supervised Classification on hypothyroid

Supervised Classification on hypothyroid

Task 3863 Supervised Classification hypothyroid 522 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 under100k under1m
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522 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, f_measure: 0.9217, kappa: 0.3752, kb_relative_information_score: -153.8061, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9215, predictive_accuracy: 0.9337, prior_entropy: 0.3928, recall: 0.9337, relative_absolute_error: 0.6253, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.9205, scimark_benchmark: 854.5188, usercpu_time_millis: 7590, usercpu_time_millis_testing: 7580, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.647, f_measure: 0.9305, kappa: 0.4293, kb_relative_information_score: 1728.591, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9444, predictive_accuracy: 0.9443, prior_entropy: 0.3928, recall: 0.9443, relative_absolute_error: 0.3905, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.236, root_relative_squared_error: 0.8843, scimark_benchmark: 1442.7264, usercpu_time_millis: 440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8858, kb_relative_information_score: 943.3865, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.8517, predictive_accuracy: 0.9229, prior_entropy: 0.3928, recall: 0.9229, relative_absolute_error: 0.5411, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.2778, root_relative_squared_error: 1.041, scimark_benchmark: 937.5996, usercpu_time_millis: 5920, usercpu_time_millis_testing: 780, usercpu_time_millis_training: 5140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5736, f_measure: 0.9106, kappa: 0.2403, kb_relative_information_score: 1340.8357, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9352, predictive_accuracy: 0.9337, prior_entropy: 0.3928, recall: 0.9337, relative_absolute_error: 0.4648, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.9648, scimark_benchmark: 1287.514, usercpu_time_millis: 1340, usercpu_time_millis_training: 1340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9694, kappa: 0.7708, kb_relative_information_score: 2368.2091, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.971, predictive_accuracy: 0.9716, prior_entropy: 0.3928, recall: 0.9716, relative_absolute_error: 0.3396, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.5423, scimark_benchmark: 935.5075, usercpu_time_millis: 3030, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, f_measure: 0.9414, kappa: 0.5311, kb_relative_information_score: 1961.2441, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9493, predictive_accuracy: 0.9507, prior_entropy: 0.3928, recall: 0.9507, relative_absolute_error: 0.3458, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.8322, scimark_benchmark: 942.9518, usercpu_time_millis: 500, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9638, kappa: 0.7239, kb_relative_information_score: 2166.2282, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9665, predictive_accuracy: 0.9671, prior_entropy: 0.3928, recall: 0.9671, relative_absolute_error: 0.3822, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.5815, scimark_benchmark: 895.5332, usercpu_time_millis: 436090, usercpu_time_millis_testing: 4340, usercpu_time_millis_training: 431750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5326, f_measure: 0.8976, kappa: 0.1142, kb_relative_information_score: 1127.5703, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9331, predictive_accuracy: 0.9279, prior_entropy: 0.3928, recall: 0.9279, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.2685, root_relative_squared_error: 1.0064, scimark_benchmark: 918.6491, usercpu_time_millis: 5090, usercpu_time_millis_testing: 1430, usercpu_time_millis_training: 3660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9762, kappa: 0.8308, kb_relative_information_score: 2858.7575, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.976, predictive_accuracy: 0.9764, prior_entropy: 0.3928, recall: 0.9764, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.4881, scimark_benchmark: 1325.2092, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9829, kappa: 0.8793, kb_relative_information_score: 3036.2972, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9828, predictive_accuracy: 0.983, prior_entropy: 0.3928, recall: 0.983, relative_absolute_error: 0.1751, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.4204, scimark_benchmark: 1331.6907, usercpu_time_millis: 620, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9821, kappa: 0.8731, kb_relative_information_score: 2986.0666, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.982, predictive_accuracy: 0.9822, prior_entropy: 0.3928, recall: 0.9822, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.4399, scimark_benchmark: 893.5298, usercpu_time_millis: 100, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9955, kappa: 0.9688, kb_relative_information_score: 3084.5152, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9956, predictive_accuracy: 0.9955, prior_entropy: 0.3928, recall: 0.9955, relative_absolute_error: 0.1788, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.081, root_relative_squared_error: 0.3038, scimark_benchmark: 1066.7184, usercpu_time_millis: 1090, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.9803, kappa: 0.8609, kb_relative_information_score: 3031.8309, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9802, predictive_accuracy: 0.9804, prior_entropy: 0.3928, recall: 0.9804, relative_absolute_error: 0.1433, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1321, root_relative_squared_error: 0.4952, scimark_benchmark: 1301.9956, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9971, kappa: 0.9794, kb_relative_information_score: 3594.5333, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.3928, recall: 0.9971, relative_absolute_error: 0.0371, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0529, root_relative_squared_error: 0.1984, scimark_benchmark: 1318.5526, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9976, kappa: 0.9833, kb_relative_information_score: 3616.0424, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.3928, recall: 0.9976, relative_absolute_error: 0.0332, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1828, scimark_benchmark: 1330.2678, usercpu_time_millis: 820, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.9757, kappa: 0.8214, kb_relative_information_score: 2920.9384, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9763, predictive_accuracy: 0.9769, prior_entropy: 0.3928, recall: 0.9769, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.5692, scimark_benchmark: 1386.5717, usercpu_time_millis: 280, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5226, f_measure: 0.8635, kappa: 0.0449, kb_relative_information_score: -1247.4307, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.864, predictive_accuracy: 0.8629, prior_entropy: 0.3928, recall: 0.8629, relative_absolute_error: 0.9613, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.3875, scimark_benchmark: 1308.9788, usercpu_time_millis: 4480, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 4100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9973, kappa: 0.9814, kb_relative_information_score: 3628.1976, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.3928, recall: 0.9973, relative_absolute_error: 0.0333, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1911, scimark_benchmark: 1358.4523, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.9738, kappa: 0.8224, kb_relative_information_score: 2775.5302, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9754, predictive_accuracy: 0.973, prior_entropy: 0.3928, recall: 0.973, relative_absolute_error: 0.1897, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.6163, scimark_benchmark: 1351.788, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9952, kappa: 0.9667, kb_relative_information_score: 3589.8162, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 0.3928, recall: 0.9952, relative_absolute_error: 0.0335, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0691, root_relative_squared_error: 0.2589, scimark_benchmark: 1353.5686, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.8858, kb_relative_information_score: -6.8158, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.8517, predictive_accuracy: 0.9229, prior_entropy: 0.3928, recall: 0.9229, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.2668, root_relative_squared_error: 1, scimark_benchmark: 1445.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9976, kappa: 0.9833, kb_relative_information_score: 3620.6892, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.3928, recall: 0.9976, relative_absolute_error: 0.032, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0487, root_relative_squared_error: 0.1827, scimark_benchmark: 1466.6185, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.9436, kappa: 0.5593, kb_relative_information_score: 1969.6418, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9465, predictive_accuracy: 0.9507, prior_entropy: 0.3928, recall: 0.9507, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.8275, scimark_benchmark: 927.0753, usercpu_time_millis: 480, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.9453, kappa: 0.5718, kb_relative_information_score: 1888.0472, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9489, predictive_accuracy: 0.9523, prior_entropy: 0.3928, recall: 0.9523, relative_absolute_error: 0.3731, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.8088, scimark_benchmark: 938.2848, usercpu_time_millis: 1040, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.9457, kappa: 0.5732, kb_relative_information_score: 1360.4905, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9499, predictive_accuracy: 0.9528, prior_entropy: 0.3928, recall: 0.9528, relative_absolute_error: 0.4563, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.212, root_relative_squared_error: 0.7944, scimark_benchmark: 876.8277, usercpu_time_millis: 740, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.9432, kappa: 0.5518, kb_relative_information_score: 547.6972, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9476, predictive_accuracy: 0.951, prior_entropy: 0.3928, recall: 0.951, relative_absolute_error: 0.5871, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.7968, scimark_benchmark: 923.7642, usercpu_time_millis: 640, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.9431, kappa: 0.5522, kb_relative_information_score: 362.9425, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.947, predictive_accuracy: 0.9507, prior_entropy: 0.3928, recall: 0.9507, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.7996, scimark_benchmark: 934.5243, usercpu_time_millis: 660, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9937, kappa: 0.9567, kb_relative_information_score: 3481.1622, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.994, predictive_accuracy: 0.9936, prior_entropy: 0.3928, recall: 0.9936, relative_absolute_error: 0.0491, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.2781, scimark_benchmark: 940.2922, usercpu_time_millis: 1760, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.994, kappa: 0.9583, kb_relative_information_score: 3499.1266, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9942, predictive_accuracy: 0.9939, prior_entropy: 0.3928, recall: 0.9939, relative_absolute_error: 0.0473, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.2761, scimark_benchmark: 938.2848, usercpu_time_millis: 850, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9877, kappa: 0.9164, kb_relative_information_score: 3157.9116, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9889, predictive_accuracy: 0.9873, prior_entropy: 0.3928, recall: 0.9873, relative_absolute_error: 0.0974, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.3948, scimark_benchmark: 934.5243, usercpu_time_millis: 430, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 420,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, build_cpu_time: 0.1231, build_memory: 1619348533.5249, f_measure: 0.9897, kappa: 0.928, kb_relative_information_score: 3344.7282, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9898, predictive_accuracy: 0.9897, prior_entropy: 0.3928, recall: 0.9897, relative_absolute_error: 0.0806, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1001, root_relative_squared_error: 0.3753, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 1.5572, build_memory: 435300748.0785, f_measure: 0.9958, kappa: 0.9705, kb_relative_information_score: 3156.4504, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 0.3928, recall: 0.9958, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.2941, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 2.327, build_memory: 782305198.9629, f_measure: 0.9958, kappa: 0.9705, kb_relative_information_score: 3156.4504, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 0.3928, recall: 0.9958, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.2941, scimark_benchmark: 943.8094,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, build_cpu_time: 1.2469, build_memory: 764229818.1951, f_measure: 0.9748, kappa: 0.8234, kb_relative_information_score: 2868.1393, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9749, predictive_accuracy: 0.9748, prior_entropy: 0.3928, recall: 0.9748, relative_absolute_error: 0.1728, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.5763, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, build_cpu_time: 0.6557, build_memory: 1354141928.5854, f_measure: 0.9774, kappa: 0.841, kb_relative_information_score: 2933.9821, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9774, predictive_accuracy: 0.9775, prior_entropy: 0.3928, recall: 0.9775, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.5474, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, build_cpu_time: 0.3285, build_memory: 970936452.2227, f_measure: 0.9756, kappa: 0.827, kb_relative_information_score: 2891.4749, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9754, predictive_accuracy: 0.9759, prior_entropy: 0.3928, recall: 0.9759, relative_absolute_error: 0.1718, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.5566, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, build_cpu_time: 0.161, build_memory: 1232033829.5992, f_measure: 0.9761, kappa: 0.8324, kb_relative_information_score: 2872.3921, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9761, predictive_accuracy: 0.9761, prior_entropy: 0.3928, recall: 0.9761, relative_absolute_error: 0.1759, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.5521, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, build_cpu_time: 0.0782, build_memory: 356979381.9915, f_measure: 0.9773, kappa: 0.8427, kb_relative_information_score: 2875.2178, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9777, predictive_accuracy: 0.9769, prior_entropy: 0.3928, recall: 0.9769, relative_absolute_error: 0.1777, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.5266, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, build_cpu_time: 0.3273, build_memory: 1992607088.123, f_measure: 0.9421, kappa: 0.5462, kb_relative_information_score: 428.9626, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9452, predictive_accuracy: 0.9496, prior_entropy: 0.3928, recall: 0.9496, relative_absolute_error: 0.6133, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.8, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, build_cpu_time: 0.4596, build_memory: 904946512.5981, f_measure: 0.9427, kappa: 0.5488, kb_relative_information_score: 347.7725, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9467, predictive_accuracy: 0.9504, prior_entropy: 0.3928, recall: 0.9504, relative_absolute_error: 0.6188, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.8017, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, build_cpu_time: 0.5152, build_memory: 1490964144.4581, f_measure: 0.9431, kappa: 0.5522, kb_relative_information_score: 362.9425, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.947, predictive_accuracy: 0.9507, prior_entropy: 0.3928, recall: 0.9507, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.7996, scimark_benchmark: 943.2074,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, build_cpu_time: 0.4916, build_memory: 3220067995.597, f_measure: 0.9431, kappa: 0.5522, kb_relative_information_score: 362.9425, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.947, predictive_accuracy: 0.9507, prior_entropy: 0.3928, recall: 0.9507, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.7996, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, build_cpu_time: 631.044, build_memory: 1119538846.5048, f_measure: 0.994, kappa: 0.9583, kb_relative_information_score: 3372.4891, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9942, predictive_accuracy: 0.9939, prior_entropy: 0.3928, recall: 0.9939, relative_absolute_error: 0.0869, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.2797, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 1299.3149, build_memory: 900737098.6341, f_measure: 0.9942, kappa: 0.9597, kb_relative_information_score: 3508.2117, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9943, predictive_accuracy: 0.9942, prior_entropy: 0.3928, recall: 0.9942, relative_absolute_error: 0.0584, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.2507, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, build_cpu_time: 2611.4837, build_memory: 928025210.3966, f_measure: 0.9955, kappa: 0.9685, kb_relative_information_score: 3577.4467, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 0.3928, recall: 0.9955, relative_absolute_error: 0.0363, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0592, root_relative_squared_error: 0.222, scimark_benchmark: 888.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, build_cpu_time: 5254.3172, build_memory: 436460018.6744, f_measure: 0.9963, kappa: 0.9739, kb_relative_information_score: 3633.9419, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 0.3928, recall: 0.9963, relative_absolute_error: 0.026, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0571, root_relative_squared_error: 0.214, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, build_cpu_time: 1243.6995, build_memory: 105693265.5673, f_measure: 0.996, kappa: 0.9722, kb_relative_information_score: 3618.8979, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.3928, recall: 0.996, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0631, root_relative_squared_error: 0.2363, scimark_benchmark: 937.9406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, build_cpu_time: 304.0843, build_memory: 2191167322.6511, f_measure: 0.996, kappa: 0.9721, kb_relative_information_score: 3618.8979, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.3928, recall: 0.996, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0631, root_relative_squared_error: 0.2363, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, build_cpu_time: 148.3865, build_memory: 935067242.2524, f_measure: 0.9966, kappa: 0.9759, kb_relative_information_score: 3632.3895, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.3928, recall: 0.9966, relative_absolute_error: 0.0251, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0588, root_relative_squared_error: 0.2202, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, build_cpu_time: 83.4213, build_memory: 2679118673.8728, f_measure: 0.9968, kappa: 0.9777, kb_relative_information_score: 3646.7116, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.3928, recall: 0.9968, relative_absolute_error: 0.0225, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0564, root_relative_squared_error: 0.2115, scimark_benchmark: 934.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, build_cpu_time: 6.8333, build_memory: 648922525.5992, f_measure: 0.996, kappa: 0.9723, kb_relative_information_score: 3624.4811, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.3928, recall: 0.996, relative_absolute_error: 0.0269, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0595, root_relative_squared_error: 0.2231, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, build_cpu_time: 13.633, build_memory: 372484927.8982, f_measure: 0.9966, kappa: 0.9759, kb_relative_information_score: 3640.1029, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.3928, recall: 0.9966, relative_absolute_error: 0.0234, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0572, root_relative_squared_error: 0.2146, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, build_cpu_time: 31.5131, build_memory: 208286667.2238, f_measure: 0.9971, kappa: 0.9796, kb_relative_information_score: 3657.5795, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.3928, recall: 0.9971, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.054, root_relative_squared_error: 0.2024, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, build_cpu_time: 62.9286, build_memory: 413148786.2354, f_measure: 0.9974, kappa: 0.9814, kb_relative_information_score: 3666.9109, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9974, predictive_accuracy: 0.9973, prior_entropy: 0.3928, recall: 0.9973, relative_absolute_error: 0.0188, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.193, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, build_cpu_time: 110.5402, build_memory: 923947998.8929, f_measure: 0.9973, kappa: 0.9814, kb_relative_information_score: 3667.3677, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.3928, recall: 0.9973, relative_absolute_error: 0.0186, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.193, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, build_cpu_time: 6.9927, build_memory: 976901406.4708, f_measure: 0.9968, kappa: 0.9777, kb_relative_information_score: 3636.8424, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.3928, recall: 0.9968, relative_absolute_error: 0.0241, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0572, root_relative_squared_error: 0.2142, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, build_cpu_time: 7.3897, build_memory: 843058435.0626, f_measure: 0.9966, kappa: 0.9758, kb_relative_information_score: 3627.2137, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.3928, recall: 0.9966, relative_absolute_error: 0.0259, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0594, root_relative_squared_error: 0.2224, scimark_benchmark: 906.6607,

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