OpenML
Supervised Classification on breast-cancer

Supervised Classification on breast-cancer

Task 13 Supervised Classification breast-cancer 767 runs submitted
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  • 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: 0.633, build_cpu_time: 0.0169, build_memory: 55052493.8462, f_measure: 0.685, kappa: 0.2172, kb_relative_information_score: 37.6944, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6807, predictive_accuracy: 0.7063, prior_entropy: 0.8796, recall: 0.7063, relative_absolute_error: 0.8286, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4778, root_relative_squared_error: 1.0455, scimark_benchmark: 926.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6469, build_cpu_time: 0.0601, build_memory: 1636369434.7413, f_measure: 0.6718, kappa: 0.1918, kb_relative_information_score: 58.532, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6651, predictive_accuracy: 0.6853, prior_entropy: 0.8796, recall: 0.6853, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5348, root_relative_squared_error: 1.1701, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6558, f_measure: 0.6609, kappa: 0.2261, kb_relative_information_score: -79.2503, mean_absolute_error: 0.4824, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6801, predictive_accuracy: 0.6504, prior_entropy: 0.8796, recall: 0.6504, relative_absolute_error: 1.1532, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0929, scimark_benchmark: 1345.4669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, f_measure: 0.7126, kappa: 0.2932, kb_relative_information_score: 56.6682, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7084, predictive_accuracy: 0.7238, prior_entropy: 0.8796, recall: 0.7238, relative_absolute_error: 0.778, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9874, scimark_benchmark: 1308.3124, usercpu_time_millis: 160, usercpu_time_millis_testing: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.6385, kappa: 0.1077, kb_relative_information_score: 17.9262, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6817, predictive_accuracy: 0.7133, prior_entropy: 0.8796, recall: 0.7133, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.9617, scimark_benchmark: 1324.5988, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6669, f_measure: 0.6449, kappa: 0.1224, kb_relative_information_score: 18.7288, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6904, predictive_accuracy: 0.7168, prior_entropy: 0.8796, recall: 0.7168, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.9616, scimark_benchmark: 1321.5205, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.525, f_measure: 0.6665, kappa: 0.1857, kb_relative_information_score: 16.1028, mean_absolute_error: 0.3831, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6608, predictive_accuracy: 0.6748, prior_entropy: 0.8796, recall: 0.6748, relative_absolute_error: 0.9158, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5267, root_relative_squared_error: 1.1525, scimark_benchmark: 1360.2771, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6331, f_measure: 0.6748, kappa: 0.1923, kb_relative_information_score: 28.0688, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6689, predictive_accuracy: 0.6958, prior_entropy: 0.8796, recall: 0.6958, relative_absolute_error: 0.8788, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4572, root_relative_squared_error: 1.0004, scimark_benchmark: 1311.1837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6295, f_measure: 0.6739, kappa: 0.1921, kb_relative_information_score: 27.0735, mean_absolute_error: 0.3677, 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: 0.8791, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4619, root_relative_squared_error: 1.0107, scimark_benchmark: 1270.2428, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6829, f_measure: 0.6496, kappa: 0.1252, kb_relative_information_score: 28.358, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6592, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.9593, scimark_benchmark: 1330.8781, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5754, f_measure: 0.6605, kappa: 0.168, kb_relative_information_score: 11.7757, mean_absolute_error: 0.3933, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6539, predictive_accuracy: 0.6713, prior_entropy: 0.8796, recall: 0.6713, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9949, scimark_benchmark: 904.3681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4675, f_measure: 0.5784, kappa: -0.007, kb_relative_information_score: -98.3084, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4932, predictive_accuracy: 0.6993, prior_entropy: 0.8796, recall: 0.6993, relative_absolute_error: 1.1959, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0947, scimark_benchmark: 1313.6093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7138, kappa: 0.2905, kb_relative_information_score: 52.8096, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7116, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9707, scimark_benchmark: 994.8259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.7196, kappa: 0.3146, kb_relative_information_score: 54.5395, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7157, predictive_accuracy: 0.7273, prior_entropy: 0.8796, recall: 0.7273, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9962, scimark_benchmark: 1307.3764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.6695, kappa: 0.1734, kb_relative_information_score: 25.198, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.675, predictive_accuracy: 0.7098, prior_entropy: 0.8796, recall: 0.7098, relative_absolute_error: 0.8875, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9889, scimark_benchmark: 833.3193, usercpu_time_millis: 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: 0.6488, 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: 0.6296, 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: 0.6749, 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: 0.6622, 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: 0.626, 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,
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: 0.6295, f_measure: 0.6739, kappa: 0.1921, kb_relative_information_score: 27.0735, mean_absolute_error: 0.3677, 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: 0.8791, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4619, root_relative_squared_error: 1.0107, scimark_benchmark: 910.8389, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6264, f_measure: 0.6665, kappa: 0.1738, kb_relative_information_score: 27.0862, mean_absolute_error: 0.3675, 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: 0.8784, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4637, root_relative_squared_error: 1.0145, scimark_benchmark: 924.6116, 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: 0.6235, f_measure: 0.6893, kappa: 0.2246, kb_relative_information_score: 24.3485, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6896, predictive_accuracy: 0.7168, prior_entropy: 0.8796, recall: 0.7168, relative_absolute_error: 0.8892, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4572, root_relative_squared_error: 1.0003, scimark_benchmark: 938.9865,
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: 938.9865,
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: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6536, f_measure: 0.715, kappa: 0.2872, kb_relative_information_score: 34.3078, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7405, predictive_accuracy: 0.7517, prior_entropy: 0.8796, recall: 0.7517, relative_absolute_error: 0.8633, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9402, scimark_benchmark: 929.0255, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6566, f_measure: 0.6692, kappa: 0.1799, kb_relative_information_score: 39.5624, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6624, predictive_accuracy: 0.6888, prior_entropy: 0.8796, recall: 0.6888, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.045, scimark_benchmark: 902.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6213, f_measure: 0.555, kappa: 0.1311, kb_relative_information_score: -48.2353, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6581, predictive_accuracy: 0.5385, prior_entropy: 0.8796, recall: 0.5385, relative_absolute_error: 1.0725, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5151, root_relative_squared_error: 1.1271, scimark_benchmark: 910.8389, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.6785, kappa: 0.2043, kb_relative_information_score: 28.8578, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6723, predictive_accuracy: 0.6958, prior_entropy: 0.8796, recall: 0.6958, relative_absolute_error: 0.8719, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.458, root_relative_squared_error: 1.002, scimark_benchmark: 934.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6331, f_measure: 0.6748, kappa: 0.1923, kb_relative_information_score: 28.0688, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6689, predictive_accuracy: 0.6958, prior_entropy: 0.8796, recall: 0.6958, relative_absolute_error: 0.8788, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4572, root_relative_squared_error: 1.0004, scimark_benchmark: 933.8635, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 0.6611, f_measure: 0.7132, kappa: 0.2833, kb_relative_information_score: 0.1327, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.4183, weighted_recall: 0.7413, number_of_instances: 286, precision: 0.7215, predictive_accuracy: 0.7413, prior_entropy: 0.8779, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.9411, unweighted_recall: 0.6224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6624, f_measure: 0.7132, kappa: 0.2833, kb_relative_information_score: 0.134, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4183, weighted_recall: 0.7413, number_of_instances: 286, precision: 0.7215, predictive_accuracy: 0.7413, prior_entropy: 0.8779, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.9405, unweighted_recall: 0.6224,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6972, build_cpu_time: 0.0288, build_memory: 897498289.5385, f_measure: 0.7126, kappa: 0.2932, kb_relative_information_score: 53.6673, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7084, predictive_accuracy: 0.7238, prior_entropy: 0.8796, recall: 0.7238, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9801, scimark_benchmark: 939.6798,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, build_cpu_time: 0.11, build_memory: 233004006.993, f_measure: 0.7296, kappa: 0.3238, kb_relative_information_score: 39.4354, mean_absolute_error: 0.3573, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7467, predictive_accuracy: 0.7587, prior_entropy: 0.8796, recall: 0.7587, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.9444, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, build_cpu_time: 0.0028, build_memory: 978029299.5245, f_measure: 0.6564, kappa: 0.141, kb_relative_information_score: 55.4792, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.653, predictive_accuracy: 0.6923, prior_entropy: 0.8796, recall: 0.6923, relative_absolute_error: 0.7544, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4872, root_relative_squared_error: 1.066, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6735, build_cpu_time: 0.419, build_memory: 702291496.1399, f_measure: 0.7069, kappa: 0.2671, kb_relative_information_score: 37.6493, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7295, predictive_accuracy: 0.7448, prior_entropy: 0.8796, recall: 0.7448, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.432, root_relative_squared_error: 0.9452, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6637, build_cpu_time: 0.0049, build_memory: 356046517.7063, f_measure: 0.6562, kappa: 0.1401, kb_relative_information_score: 57.1104, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6583, predictive_accuracy: 0.6993, prior_entropy: 0.8796, recall: 0.6993, relative_absolute_error: 0.7502, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4794, root_relative_squared_error: 1.0491, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6637, build_cpu_time: 0.0033, build_memory: 448066333.3986, f_measure: 0.6562, kappa: 0.1401, kb_relative_information_score: 57.1104, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6583, predictive_accuracy: 0.6993, prior_entropy: 0.8796, recall: 0.6993, relative_absolute_error: 0.7502, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4794, root_relative_squared_error: 1.0491, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6657, build_cpu_time: 0.054, build_memory: 1220946328.0839, f_measure: 0.6887, kappa: 0.2289, kb_relative_information_score: 69.7164, mean_absolute_error: 0.294, 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: 0.7027, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5112, root_relative_squared_error: 1.1185, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, build_cpu_time: 0.022, build_memory: 52970449.6504, f_measure: 0.7014, kappa: 0.2531, kb_relative_information_score: 37.6551, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7176, predictive_accuracy: 0.7378, prior_entropy: 0.8796, recall: 0.7378, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.9494, scimark_benchmark: 945.9625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.7014, kappa: 0.2531, kb_relative_information_score: 37.6551, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7176, predictive_accuracy: 0.7378, prior_entropy: 0.8796, recall: 0.7378, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5834, build_cpu_time: 0.0033, build_memory: 39853210.7972, 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: 943.7088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5834, build_cpu_time: 0.0038, build_memory: 21003016.3636, 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: 917.4635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6749, build_cpu_time: 0.0906, build_memory: 1468983577.4825, f_measure: 0.6579, kappa: 0.1458, kb_relative_information_score: 25.991, mean_absolute_error: 0.3727, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6719, predictive_accuracy: 0.7098, prior_entropy: 0.8796, recall: 0.7098, relative_absolute_error: 0.891, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.9614, scimark_benchmark: 947.4258,
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: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.525, f_measure: 0.6665, kappa: 0.1857, kb_relative_information_score: 16.1028, mean_absolute_error: 0.3831, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6608, predictive_accuracy: 0.6748, prior_entropy: 0.8796, recall: 0.6748, relative_absolute_error: 0.9158, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5267, root_relative_squared_error: 1.1525, scimark_benchmark: 1342.7245, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1322.7257, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7138, kappa: 0.2905, kb_relative_information_score: 52.8096, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7116, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9707, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7138, kappa: 0.2905, kb_relative_information_score: 52.8096, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7116, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9707, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.714, kappa: 0.2983, kb_relative_information_score: 50.4665, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7098, predictive_accuracy: 0.7238, prior_entropy: 0.8796, recall: 0.7238, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9894, scimark_benchmark: 1336.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.714, kappa: 0.2983, kb_relative_information_score: 50.4665, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7098, predictive_accuracy: 0.7238, prior_entropy: 0.8796, recall: 0.7238, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9894, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6386, f_measure: 0.7067, kappa: 0.2686, kb_relative_information_score: 50.0539, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7084, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.774, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0958, scimark_benchmark: 1851.1033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6601, f_measure: 0.7088, kappa: 0.2719, kb_relative_information_score: 43.188, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.722, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.8261, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9764, scimark_benchmark: 1851.1033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.714, kappa: 0.2983, kb_relative_information_score: 50.4665, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7098, predictive_accuracy: 0.7238, prior_entropy: 0.8796, recall: 0.7238, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9894, scimark_benchmark: 1851.1033,

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