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OpenML
OpenML
Supervised Classification on breast-cancer

Supervised Classification on breast-cancer

Task 13 Supervised Classification breast-cancer 767 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • basic mythbusting mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.6909, kappa: 0.2275, kb_relative_information_score: 41.1177, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7141, predictive_accuracy: 0.7343, prior_entropy: 0.8796, recall: 0.7343, relative_absolute_error: 0.826, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9864, scimark_benchmark: 937.6212, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.663, f_measure: 0.7076, kappa: 0.3142, kb_relative_information_score: 67.4849, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7145, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.4728, kappa: 0.0737, kb_relative_information_score: -104.3118, mean_absolute_error: 0.5315, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6382, predictive_accuracy: 0.4685, prior_entropy: 0.8796, recall: 0.4685, relative_absolute_error: 1.2705, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.729, root_relative_squared_error: 1.5951, scimark_benchmark: 1318.1432, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5801, kb_relative_information_score: 67.4849, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 944.5495, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5749, f_measure: 0.6653, kappa: 0.1675, kb_relative_information_score: 57.2283, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6586, predictive_accuracy: 0.6888, prior_entropy: 0.8796, recall: 0.6888, relative_absolute_error: 0.7439, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5578, root_relative_squared_error: 1.2206, scimark_benchmark: 894.7222, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.723, kappa: 0.3072, kb_relative_information_score: 35.8793, mean_absolute_error: 0.3601, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7516, predictive_accuracy: 0.7587, prior_entropy: 0.8796, recall: 0.7587, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.935, scimark_benchmark: 932.5646, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5876, f_measure: 0.6739, kappa: 0.1921, kb_relative_information_score: 59.7925, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6674, predictive_accuracy: 0.6923, prior_entropy: 0.8796, recall: 0.6923, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5547, root_relative_squared_error: 1.2137, scimark_benchmark: 1304.9611, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.7, kappa: 0.2545, kb_relative_information_score: 44.4553, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6976, predictive_accuracy: 0.7203, prior_entropy: 0.8796, recall: 0.7203, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9805, scimark_benchmark: 1355.9413, usercpu_time_millis: 1570, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5801, kb_relative_information_score: 67.4849, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 1325.2092, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.7208, kappa: 0.3051, kb_relative_information_score: 70.8883, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7224, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.9764, scimark_benchmark: 1368.9272, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.7152, kappa: 0.2889, kb_relative_information_score: 36.429, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7215, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.9717, scimark_benchmark: 1341.5768, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6108, f_measure: 0.6634, kappa: 0.1739, kb_relative_information_score: 41.8549, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6566, predictive_accuracy: 0.6748, prior_entropy: 0.8796, recall: 0.6748, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5459, root_relative_squared_error: 1.1945, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6384, f_measure: 0.6538, kappa: 0.1341, kb_relative_information_score: 21.2816, mean_absolute_error: 0.3743, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6512, predictive_accuracy: 0.6923, prior_entropy: 0.8796, recall: 0.6923, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9958, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5952, f_measure: 0.6446, kappa: 0.1121, kb_relative_information_score: 20.6144, mean_absolute_error: 0.3836, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6484, predictive_accuracy: 0.6958, prior_entropy: 0.8796, recall: 0.6958, relative_absolute_error: 0.9171, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4707, root_relative_squared_error: 1.03, scimark_benchmark: 1355.7054, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.629, f_measure: 0.6977, kappa: 0.2661, kb_relative_information_score: 67.4849, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6941, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 1325.2092, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5724, f_measure: 0.6625, kappa: 0.1613, kb_relative_information_score: 54.6642, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6553, predictive_accuracy: 0.6853, prior_entropy: 0.8796, recall: 0.6853, relative_absolute_error: 0.7523, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.561, root_relative_squared_error: 1.2274, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5898, f_measure: 0.6489, kappa: 0.1384, kb_relative_information_score: 9.7273, mean_absolute_error: 0.3876, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6414, predictive_accuracy: 0.6608, prior_entropy: 0.8796, recall: 0.6608, relative_absolute_error: 0.9267, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4933, root_relative_squared_error: 1.0794, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5276, f_measure: 0.6266, kappa: 0.0663, kb_relative_information_score: 46.9718, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6188, predictive_accuracy: 0.6748, prior_entropy: 0.8796, recall: 0.6748, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5702, root_relative_squared_error: 1.2477, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6666, f_measure: 0.6996, kappa: 0.2627, kb_relative_information_score: 76.1136, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6946, predictive_accuracy: 0.7098, prior_entropy: 0.8796, recall: 0.7098, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.523, root_relative_squared_error: 1.1444, scimark_benchmark: 923.7642, usercpu_time_millis: 61900, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 61830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5767, f_measure: 0.6757, kappa: 0.1943, kb_relative_information_score: 90.562, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7252, predictive_accuracy: 0.7343, prior_entropy: 0.8796, recall: 0.7343, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5155, root_relative_squared_error: 1.1279, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.5801, kb_relative_information_score: -0.3776, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0001, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5834, f_measure: 0.7072, kappa: 0.2682, kb_relative_information_score: 34.8021, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7377, predictive_accuracy: 0.7483, prior_entropy: 0.8796, recall: 0.7483, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9722, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, f_measure: 0.7124, kappa: 0.297, kb_relative_information_score: 78.9833, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7082, predictive_accuracy: 0.7203, prior_entropy: 0.8796, recall: 0.7203, relative_absolute_error: 0.6782, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0989, scimark_benchmark: 945.6434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6488, f_measure: 0.701, kappa: 0.268, kb_relative_information_score: 65.9978, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6962, predictive_accuracy: 0.7098, prior_entropy: 0.8796, recall: 0.7098, relative_absolute_error: 0.7237, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0934, scimark_benchmark: 945.6434, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6425, f_measure: 0.6794, kappa: 0.2151, kb_relative_information_score: 44.1469, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6737, predictive_accuracy: 0.6888, prior_entropy: 0.8796, recall: 0.6888, relative_absolute_error: 0.8086, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4806, root_relative_squared_error: 1.0516, scimark_benchmark: 945.6434, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6296, f_measure: 0.6779, kappa: 0.2147, kb_relative_information_score: 26.7367, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6729, predictive_accuracy: 0.6853, prior_entropy: 0.8796, recall: 0.6853, relative_absolute_error: 0.868, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4725, root_relative_squared_error: 1.0339, scimark_benchmark: 940.2922, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6296, f_measure: 0.6779, kappa: 0.2147, kb_relative_information_score: 26.7367, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6729, predictive_accuracy: 0.6853, prior_entropy: 0.8796, recall: 0.6853, relative_absolute_error: 0.868, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4725, root_relative_squared_error: 1.0339, scimark_benchmark: 943.2817, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, f_measure: 0.6897, kappa: 0.2294, kb_relative_information_score: 69.3586, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6856, predictive_accuracy: 0.7098, prior_entropy: 0.8796, recall: 0.7098, relative_absolute_error: 0.7018, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4932, root_relative_squared_error: 1.0791, scimark_benchmark: 942.1229, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6749, f_measure: 0.7, kappa: 0.2545, kb_relative_information_score: 76.8352, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6976, predictive_accuracy: 0.7203, prior_entropy: 0.8796, recall: 0.7203, relative_absolute_error: 0.6795, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4873, root_relative_squared_error: 1.0662, scimark_benchmark: 926.6717, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.6878, kappa: 0.2236, kb_relative_information_score: 71.5949, mean_absolute_error: 0.2908, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6842, predictive_accuracy: 0.7098, prior_entropy: 0.8796, recall: 0.7098, relative_absolute_error: 0.6952, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4881, root_relative_squared_error: 1.068, scimark_benchmark: 934.5243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6805, f_measure: 0.7133, kappa: 0.2864, kb_relative_information_score: 82.379, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7138, predictive_accuracy: 0.7343, prior_entropy: 0.8796, recall: 0.7343, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4799, root_relative_squared_error: 1.05, scimark_benchmark: 939.7623, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6601, f_measure: 0.7075, kappa: 0.2697, kb_relative_information_score: 78.1625, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7122, predictive_accuracy: 0.7343, prior_entropy: 0.8796, recall: 0.7343, relative_absolute_error: 0.6849, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4832, root_relative_squared_error: 1.0572, scimark_benchmark: 933.8635, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.626, f_measure: 0.6637, kappa: 0.1677, kb_relative_information_score: 27.0286, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6562, predictive_accuracy: 0.6818, prior_entropy: 0.8796, recall: 0.6818, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4639, root_relative_squared_error: 1.015, scimark_benchmark: 924.6116, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6454, build_cpu_time: 3.757, build_memory: 997316867.5524, f_measure: 0.7075, kappa: 0.2731, kb_relative_information_score: 84.4436, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.706, predictive_accuracy: 0.7273, prior_entropy: 0.8796, recall: 0.7273, relative_absolute_error: 0.6582, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5075, root_relative_squared_error: 1.1104, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, build_cpu_time: 0.0135, build_memory: 582010051.1329, f_measure: 0.6775, kappa: 0.1986, kb_relative_information_score: 29.6654, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6722, predictive_accuracy: 0.6993, prior_entropy: 0.8796, recall: 0.6993, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4507, root_relative_squared_error: 0.9862, scimark_benchmark: 939.0159,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6587, build_cpu_time: 0.0031, build_memory: 959145118.042, f_measure: 0.6665, kappa: 0.1738, kb_relative_information_score: 29.6101, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6592, predictive_accuracy: 0.6853, prior_entropy: 0.8796, recall: 0.6853, relative_absolute_error: 0.8666, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9869, scimark_benchmark: 929.5397,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6296, build_cpu_time: 0.0094, build_memory: 1257957351.4406, f_measure: 0.6779, kappa: 0.2147, kb_relative_information_score: 26.7367, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6729, predictive_accuracy: 0.6853, prior_entropy: 0.8796, recall: 0.6853, relative_absolute_error: 0.868, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4725, root_relative_squared_error: 1.0339, scimark_benchmark: 908.8705,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6296, build_cpu_time: 0.0128, build_memory: 392075737.5664, f_measure: 0.6779, kappa: 0.2147, kb_relative_information_score: 26.7367, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6729, predictive_accuracy: 0.6853, prior_entropy: 0.8796, recall: 0.6853, relative_absolute_error: 0.868, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4725, root_relative_squared_error: 1.0339, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, build_cpu_time: 1.0374, build_memory: 23808055.2727, f_measure: 0.6729, kappa: 0.192, kb_relative_information_score: 40.5171, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6661, predictive_accuracy: 0.6888, prior_entropy: 0.8796, recall: 0.6888, relative_absolute_error: 0.8118, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4844, root_relative_squared_error: 1.0599, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6635, build_cpu_time: 2.1346, build_memory: 87704668.4476, f_measure: 0.6791, kappa: 0.2098, kb_relative_information_score: 59.7849, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6728, predictive_accuracy: 0.6923, prior_entropy: 0.8796, recall: 0.6923, relative_absolute_error: 0.7405, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4909, root_relative_squared_error: 1.0741, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, build_cpu_time: 8.1009, build_memory: 86036871.3566, f_measure: 0.7057, kappa: 0.2676, kb_relative_information_score: 83.3537, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7051, predictive_accuracy: 0.7273, prior_entropy: 0.8796, recall: 0.7273, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4965, root_relative_squared_error: 1.0863, scimark_benchmark: 937.9406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, build_cpu_time: 17.9784, build_memory: 756335094.993, f_measure: 0.7104, kappa: 0.2797, kb_relative_information_score: 86.8214, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7098, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.6513, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4955, root_relative_squared_error: 1.0841, scimark_benchmark: 938.6203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, build_cpu_time: 12.8949, build_memory: 938151723.2448, f_measure: 0.6577, kappa: 0.1622, kb_relative_information_score: 43.5096, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6512, predictive_accuracy: 0.6678, prior_entropy: 0.8796, recall: 0.6678, relative_absolute_error: 0.7836, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.541, root_relative_squared_error: 1.1838, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, build_cpu_time: 11.5683, build_memory: 1009671745.9301, f_measure: 0.6577, kappa: 0.1622, kb_relative_information_score: 43.5096, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6512, predictive_accuracy: 0.6678, prior_entropy: 0.8796, recall: 0.6678, relative_absolute_error: 0.7836, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.541, root_relative_squared_error: 1.1838, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6245, build_cpu_time: 9.8239, build_memory: 56790183.6643, f_measure: 0.6649, kappa: 0.1798, kb_relative_information_score: 42.605, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6587, predictive_accuracy: 0.6748, prior_entropy: 0.8796, recall: 0.6748, relative_absolute_error: 0.7874, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5426, root_relative_squared_error: 1.1873, scimark_benchmark: 886.6397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6172, build_cpu_time: 5.1889, build_memory: 895434137.7343, f_measure: 0.6489, kappa: 0.1384, kb_relative_information_score: 43.2301, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6414, predictive_accuracy: 0.6608, prior_entropy: 0.8796, recall: 0.6608, relative_absolute_error: 0.7868, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5412, root_relative_squared_error: 1.1841, scimark_benchmark: 938.1146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6146, build_cpu_time: 2.5188, build_memory: 976785818.4056, f_measure: 0.6536, kappa: 0.1566, kb_relative_information_score: 40.0269, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6483, predictive_accuracy: 0.6608, prior_entropy: 0.8796, recall: 0.6608, relative_absolute_error: 0.7964, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5416, root_relative_squared_error: 1.185, scimark_benchmark: 923.8078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6466, build_cpu_time: 0.7313, build_memory: 201392228.5315, f_measure: 0.6887, kappa: 0.2289, kb_relative_information_score: 43.7114, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6836, predictive_accuracy: 0.7063, prior_entropy: 0.8796, recall: 0.7063, relative_absolute_error: 0.8067, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0448, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6518, build_cpu_time: 1.1452, build_memory: 230136175.4685, f_measure: 0.6693, kappa: 0.1915, kb_relative_information_score: 40.9108, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6635, predictive_accuracy: 0.6783, prior_entropy: 0.8796, recall: 0.6783, relative_absolute_error: 0.808, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4906, root_relative_squared_error: 1.0734, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6526, build_cpu_time: 2.1229, build_memory: 867947602.6294, f_measure: 0.7068, kappa: 0.2805, kb_relative_information_score: 55.1727, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7022, predictive_accuracy: 0.7168, prior_entropy: 0.8796, recall: 0.7168, relative_absolute_error: 0.7593, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4942, root_relative_squared_error: 1.0814, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, build_cpu_time: 3.7154, build_memory: 62618252.7552, f_measure: 0.701, kappa: 0.268, kb_relative_information_score: 67.8046, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6962, predictive_accuracy: 0.7098, prior_entropy: 0.8796, recall: 0.7098, relative_absolute_error: 0.7156, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0897, scimark_benchmark: 938.1146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6791, build_cpu_time: 8.0866, build_memory: 142078267.9441, f_measure: 0.7179, kappa: 0.3131, kb_relative_information_score: 77.293, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7143, predictive_accuracy: 0.7238, prior_entropy: 0.8796, recall: 0.7238, relative_absolute_error: 0.6827, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4953, root_relative_squared_error: 1.0837, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6522, build_cpu_time: 0.0285, build_memory: 773174230.2657, f_measure: 0.6944, kappa: 0.2416, kb_relative_information_score: 39.5696, mean_absolute_error: 0.3486, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6904, predictive_accuracy: 0.7133, prior_entropy: 0.8796, recall: 0.7133, relative_absolute_error: 0.8333, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4622, root_relative_squared_error: 1.0114, scimark_benchmark: 937.6343,

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