OpenML
Supervised Classification on breast-cancer

Supervised Classification on breast-cancer

Task 13 Supervised Classification breast-cancer 767 runs submitted
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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: 918.6005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.6802, kappa: 0.2101, kb_relative_information_score: 62.3566, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.674, predictive_accuracy: 0.6958, prior_entropy: 0.8796, recall: 0.6958, relative_absolute_error: 0.7272, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5515, root_relative_squared_error: 1.2068, scimark_benchmark: 929.0363, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.581, f_measure: 0.6934, kappa: 0.2365, kb_relative_information_score: 30.5653, mean_absolute_error: 0.3735, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6916, predictive_accuracy: 0.7168, prior_entropy: 0.8796, recall: 0.7168, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9908, scimark_benchmark: 938.0414, 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: 937.1527, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5861, f_measure: 0.6855, kappa: 0.2141, kb_relative_information_score: 33.3579, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7087, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.8806, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9804, scimark_benchmark: 1310.3951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.6728, kappa: 0.1862, kb_relative_information_score: 31.6072, mean_absolute_error: 0.3614, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6672, predictive_accuracy: 0.6958, prior_entropy: 0.8796, recall: 0.6958, relative_absolute_error: 0.8639, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9873, scimark_benchmark: 1325.2092, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6483, f_measure: 0.681, kappa: 0.2052, kb_relative_information_score: 32.0501, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6779, predictive_accuracy: 0.7063, prior_entropy: 0.8796, recall: 0.7063, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.9766, scimark_benchmark: 932.0242, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.6817, kappa: 0.2055, kb_relative_information_score: 30.7652, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6804, predictive_accuracy: 0.7098, prior_entropy: 0.8796, recall: 0.7098, relative_absolute_error: 0.8674, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9709, scimark_benchmark: 1304.9611, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, f_measure: 0.6942, kappa: 0.2372, kb_relative_information_score: 34.0859, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6946, predictive_accuracy: 0.7203, prior_entropy: 0.8796, recall: 0.7203, relative_absolute_error: 0.8558, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.9609, scimark_benchmark: 943.1756, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.6859, kappa: 0.2226, kb_relative_information_score: 33.6857, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6804, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.8561, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.9631, scimark_benchmark: 915.9324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6742, f_measure: 0.6989, kappa: 0.2496, kb_relative_information_score: 47.8321, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7466, predictive_accuracy: 0.7483, prior_entropy: 0.8796, recall: 0.7483, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.9515, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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,
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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,
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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: 918.4924, usercpu_time_millis: 80, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6497, build_cpu_time: 0.3769, build_memory: 1393806903.0769, f_measure: 0.7114, kappa: 0.2809, kb_relative_information_score: 86.554, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7131, predictive_accuracy: 0.7343, prior_entropy: 0.8796, recall: 0.7343, relative_absolute_error: 0.6557, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.1036, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6469, build_cpu_time: 0.7072, build_memory: 1019163089.3986, f_measure: 0.7018, kappa: 0.2601, kb_relative_information_score: 81.6631, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6987, predictive_accuracy: 0.7203, prior_entropy: 0.8796, recall: 0.7203, relative_absolute_error: 0.6659, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5086, root_relative_squared_error: 1.1129, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6432, build_cpu_time: 1.1714, build_memory: 1334393260.9231, f_measure: 0.7075, kappa: 0.2731, kb_relative_information_score: 83.4392, mean_absolute_error: 0.2765, 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: 0.661, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.507, root_relative_squared_error: 1.1094, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.643, build_cpu_time: 2.2295, build_memory: 700420236.2238, f_measure: 0.7047, kappa: 0.2666, kb_relative_information_score: 83.3232, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7023, predictive_accuracy: 0.7238, prior_entropy: 0.8796, recall: 0.7238, relative_absolute_error: 0.6614, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.1114, scimark_benchmark: 945.0532,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, build_cpu_time: 0.0107, build_memory: 846469519.2168, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6511, build_cpu_time: 0.0071, build_memory: 1851160714.993, f_measure: 0.6775, kappa: 0.1986, kb_relative_information_score: 29.8642, mean_absolute_error: 0.3644, 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: 0.8711, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.986, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6488, build_cpu_time: 0.0053, build_memory: 869776754.3497, f_measure: 0.672, kappa: 0.1861, kb_relative_information_score: 29.8672, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6656, predictive_accuracy: 0.6923, prior_entropy: 0.8796, recall: 0.6923, relative_absolute_error: 0.871, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9883, scimark_benchmark: 909.5718,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.626, build_cpu_time: 0.0067, build_memory: 652365656, f_measure: 0.6793, kappa: 0.2202, kb_relative_information_score: 26.135, mean_absolute_error: 0.3644, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.675, predictive_accuracy: 0.6853, prior_entropy: 0.8796, recall: 0.6853, relative_absolute_error: 0.8711, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0324, scimark_benchmark: 929.5397,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6296, build_cpu_time: 0.0104, build_memory: 2175324962.0979, 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: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6296, build_cpu_time: 0.0109, build_memory: 1320527637.7622, 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: 943.5504,
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,

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