OpenML
Supervised Classification on breast-cancer

Supervised Classification on breast-cancer

Task 1777 Supervised Classification breast-cancer 346 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

346 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6521, f_measure: 0.6644, kappa: 0.1663, kb_relative_information_score: 107.3441, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6574, predictive_accuracy: 0.6867, prior_entropy: 0.8796, recall: 0.6867, relative_absolute_error: 0.886, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9964, scimark_benchmark: 1325.1482, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 1343.7262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, f_measure: 0.5877, kappa: 0.0113, kb_relative_information_score: 337.4243, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6437, 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: 1322.7257, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6077, f_measure: 0.6764, kappa: 0.2027, kb_relative_information_score: 121.5582, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6699, predictive_accuracy: 0.6902, prior_entropy: 0.8796, recall: 0.6902, relative_absolute_error: 0.8882, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4791, root_relative_squared_error: 1.0482, scimark_benchmark: 1253.0071, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.6741, kappa: 0.1876, kb_relative_information_score: 288.2189, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6702, predictive_accuracy: 0.7007, prior_entropy: 0.8796, recall: 0.7007, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.48, root_relative_squared_error: 1.0504, scimark_benchmark: 1373.7859, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.6741, kappa: 0.1876, kb_relative_information_score: 288.2189, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6702, predictive_accuracy: 0.7007, prior_entropy: 0.8796, recall: 0.7007, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.48, root_relative_squared_error: 1.0504, scimark_benchmark: 1328.1857, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.6461, kappa: 0.1153, kb_relative_information_score: 66.801, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6479, predictive_accuracy: 0.6944, prior_entropy: 0.8796, recall: 0.6944, relative_absolute_error: 0.9185, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9898, scimark_benchmark: 1366.7181, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, build_cpu_time: 10.6725, build_memory: 69171265.6, f_measure: 0.6852, kappa: 0.2193, kb_relative_information_score: 126.8932, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6801, predictive_accuracy: 0.7042, prior_entropy: 0.8796, recall: 0.7042, relative_absolute_error: 0.8735, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.991, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, build_cpu_time: 4.7501, build_memory: 63931576.8, f_measure: 0.6875, kappa: 0.2243, kb_relative_information_score: 135.3381, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6828, predictive_accuracy: 0.707, prior_entropy: 0.8796, recall: 0.707, relative_absolute_error: 0.8678, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9898, scimark_benchmark: 943.0515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6601, build_cpu_time: 2.3453, build_memory: 972463289.6, f_measure: 0.6789, kappa: 0.2022, kb_relative_information_score: 139.4317, mean_absolute_error: 0.3617, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6736, predictive_accuracy: 0.7, prior_entropy: 0.8796, recall: 0.7, relative_absolute_error: 0.8648, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9907, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, build_cpu_time: 0.0028, build_memory: 34340740, f_measure: 0.677, kappa: 0.1939, kb_relative_information_score: 138.6698, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.7024, predictive_accuracy: 0.7266, prior_entropy: 0.8796, recall: 0.7266, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4328, root_relative_squared_error: 0.947, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6787, build_cpu_time: 0.0033, build_memory: 99626209.6, f_measure: 0.6778, kappa: 0.1951, kb_relative_information_score: 133.5586, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6993, predictive_accuracy: 0.7252, prior_entropy: 0.8796, recall: 0.7252, relative_absolute_error: 0.9014, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.9509, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, build_cpu_time: 1.0282, build_memory: 3150161850.4, f_measure: 0.6688, kappa: 0.1774, kb_relative_information_score: 125.087, mean_absolute_error: 0.3644, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6622, predictive_accuracy: 0.6902, prior_entropy: 0.8796, recall: 0.6902, relative_absolute_error: 0.871, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.459, root_relative_squared_error: 1.0043, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6442, build_cpu_time: 1.3574, build_memory: 64051098.4, f_measure: 0.6941, kappa: 0.2451, kb_relative_information_score: 337.8087, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6889, predictive_accuracy: 0.7084, prior_entropy: 0.8796, recall: 0.7084, relative_absolute_error: 0.7108, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5221, root_relative_squared_error: 1.1423, scimark_benchmark: 944.3006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, build_cpu_time: 0.0076, build_memory: 1346552849.6, f_measure: 0.6787, kappa: 0.2022, kb_relative_information_score: 154.0937, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6732, predictive_accuracy: 0.6993, prior_entropy: 0.8796, recall: 0.6993, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.005, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.659, build_cpu_time: 0.0044, build_memory: 1555783956.8, f_measure: 0.6811, kappa: 0.2083, kb_relative_information_score: 155.3338, mean_absolute_error: 0.3583, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6759, predictive_accuracy: 0.7014, prior_entropy: 0.8796, recall: 0.7014, relative_absolute_error: 0.8566, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.459, root_relative_squared_error: 1.0044, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, build_cpu_time: 0.0064, build_memory: 159982781.6, f_measure: 0.6787, kappa: 0.2022, kb_relative_information_score: 154.0937, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6732, predictive_accuracy: 0.6993, prior_entropy: 0.8796, recall: 0.6993, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.005, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, build_cpu_time: 0.009, build_memory: 2003489368.8, f_measure: 0.6598, kappa: 0.1693, kb_relative_information_score: 210.3099, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6539, predictive_accuracy: 0.6685, prior_entropy: 0.8796, recall: 0.6685, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5563, root_relative_squared_error: 1.2171, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5908, build_cpu_time: 0.8835, build_memory: 762440248, f_measure: 0.6611, kappa: 0.1603, kb_relative_information_score: 235.8969, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6533, predictive_accuracy: 0.6804, prior_entropy: 0.8796, recall: 0.6804, relative_absolute_error: 0.7795, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5401, root_relative_squared_error: 1.1818, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5916, build_cpu_time: 0.4251, build_memory: 2437253164.8, f_measure: 0.6629, kappa: 0.1652, kb_relative_information_score: 233.6485, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6554, predictive_accuracy: 0.6818, prior_entropy: 0.8796, recall: 0.6818, relative_absolute_error: 0.7811, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5401, root_relative_squared_error: 1.1818, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6135, build_cpu_time: 0.0052, build_memory: 336674704, f_measure: 0.6624, kappa: 0.1751, kb_relative_information_score: 209.8456, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6565, predictive_accuracy: 0.6713, prior_entropy: 0.8796, recall: 0.6713, relative_absolute_error: 0.794, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5549, root_relative_squared_error: 1.2142, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6166, build_cpu_time: 0.0107, build_memory: 2671165312.8, f_measure: 0.661, kappa: 0.1716, kb_relative_information_score: 213.8885, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.655, predictive_accuracy: 0.6699, prior_entropy: 0.8796, recall: 0.6699, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5572, root_relative_squared_error: 1.2191, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5905, build_cpu_time: 0.3489, build_memory: 1794720783.2, f_measure: 0.6655, kappa: 0.1701, kb_relative_information_score: 233.3387, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6583, predictive_accuracy: 0.686, prior_entropy: 0.8796, recall: 0.686, relative_absolute_error: 0.7824, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5396, root_relative_squared_error: 1.1806, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5837, build_cpu_time: 0.1855, build_memory: 858457672.8, f_measure: 0.6554, kappa: 0.1424, kb_relative_information_score: 225.6533, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6476, predictive_accuracy: 0.6804, prior_entropy: 0.8796, recall: 0.6804, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.541, root_relative_squared_error: 1.1838, scimark_benchmark: 939.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5908, build_cpu_time: 0.856, build_memory: 638439544.8, f_measure: 0.6611, kappa: 0.1603, kb_relative_information_score: 235.8969, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6533, predictive_accuracy: 0.6804, prior_entropy: 0.8796, recall: 0.6804, relative_absolute_error: 0.7795, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5401, root_relative_squared_error: 1.1818, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.6852, kappa: 0.2183, kb_relative_information_score: 165.7969, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6806, predictive_accuracy: 0.7056, prior_entropy: 0.8796, recall: 0.7056, relative_absolute_error: 0.8601, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9831, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5233, f_measure: 0.4166, kappa: 0.0328, kb_relative_information_score: -683.0993, mean_absolute_error: 0.5755, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.612, predictive_accuracy: 0.4245, prior_entropy: 0.8796, recall: 0.4245, relative_absolute_error: 1.3758, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.7586, root_relative_squared_error: 1.6599, scimark_benchmark: 1363.454, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.585, f_measure: 0.5924, kappa: 0.1429, kb_relative_information_score: -134.3756, mean_absolute_error: 0.4259, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6528, predictive_accuracy: 0.5741, prior_entropy: 0.8796, recall: 0.5741, relative_absolute_error: 1.0181, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.6526, root_relative_squared_error: 1.4279, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.6854, kappa: 0.2224, kb_relative_information_score: 162.7209, mean_absolute_error: 0.3606, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6797, predictive_accuracy: 0.7014, prior_entropy: 0.8796, recall: 0.7014, relative_absolute_error: 0.8621, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.985, scimark_benchmark: 889.3151, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6329, f_measure: 0.6693, kappa: 0.1733, kb_relative_information_score: 184.8793, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6824, predictive_accuracy: 0.7154, prior_entropy: 0.8796, recall: 0.7154, relative_absolute_error: 0.8416, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0003, scimark_benchmark: 869.6028, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.6854, kappa: 0.2204, kb_relative_information_score: 164.284, mean_absolute_error: 0.3585, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6801, predictive_accuracy: 0.7035, prior_entropy: 0.8796, recall: 0.7035, relative_absolute_error: 0.857, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9916, scimark_benchmark: 1280.6952, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6542, f_measure: 0.6845, kappa: 0.22, kb_relative_information_score: 157.258, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6788, predictive_accuracy: 0.7007, prior_entropy: 0.8796, recall: 0.7007, relative_absolute_error: 0.8605, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4586, root_relative_squared_error: 1.0035, scimark_benchmark: 915.6729, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5833, f_measure: 0.6754, kappa: 0.1902, kb_relative_information_score: 339.9884, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6726, predictive_accuracy: 0.7035, prior_entropy: 0.8796, recall: 0.7035, relative_absolute_error: 0.7088, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5445, root_relative_squared_error: 1.1914, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5745, f_measure: 0.655, kappa: 0.1427, kb_relative_information_score: 87.6694, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6469, predictive_accuracy: 0.6783, prior_entropy: 0.8796, recall: 0.6783, relative_absolute_error: 0.9068, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4929, root_relative_squared_error: 1.0785, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.6741, kappa: 0.1876, kb_relative_information_score: 288.2189, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6702, predictive_accuracy: 0.7007, prior_entropy: 0.8796, recall: 0.7007, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.48, root_relative_squared_error: 1.0504, scimark_benchmark: 1325.942, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5795, f_measure: 0.6672, kappa: 0.175, kb_relative_information_score: 278.4493, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6601, predictive_accuracy: 0.6867, prior_entropy: 0.8796, recall: 0.6867, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5597, root_relative_squared_error: 1.2247, scimark_benchmark: 938.9967, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5873, f_measure: 0.6772, kappa: 0.1963, kb_relative_information_score: 332.296, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6728, predictive_accuracy: 0.7014, prior_entropy: 0.8796, recall: 0.7014, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5464, root_relative_squared_error: 1.1956, scimark_benchmark: 1321.527, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, f_measure: 0.6908, kappa: 0.2276, kb_relative_information_score: 165.4434, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6932, predictive_accuracy: 0.7203, prior_entropy: 0.8796, recall: 0.7203, relative_absolute_error: 0.8659, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.9575, scimark_benchmark: 915.9324, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6518, f_measure: 0.681, kappa: 0.2115, kb_relative_information_score: 166.1574, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6749, predictive_accuracy: 0.6972, prior_entropy: 0.8796, recall: 0.6972, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4651, root_relative_squared_error: 1.0177, scimark_benchmark: 1310.3951, usercpu_time_millis: 1610, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5725, f_measure: 0.6393, kappa: 0.1176, kb_relative_information_score: 105.7498, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6322, predictive_accuracy: 0.6497, prior_entropy: 0.8796, recall: 0.6497, relative_absolute_error: 0.8634, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5734, root_relative_squared_error: 1.2547, scimark_benchmark: 1313.5726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6515, f_measure: 0.6781, kappa: 0.2009, kb_relative_information_score: 156.0701, mean_absolute_error: 0.3603, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6725, predictive_accuracy: 0.6986, prior_entropy: 0.8796, recall: 0.6986, relative_absolute_error: 0.8614, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.459, root_relative_squared_error: 1.0043, scimark_benchmark: 1335.4072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5801, kb_relative_information_score: 337.4243, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, 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: 882.7843, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5682, f_measure: 0.6353, kappa: 0.0882, kb_relative_information_score: 51.2598, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6327, predictive_accuracy: 0.6853, prior_entropy: 0.8796, recall: 0.6853, relative_absolute_error: 0.9352, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4742, root_relative_squared_error: 1.0375, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5671, f_measure: 0.6504, kappa: 0.126, kb_relative_information_score: 83.676, mean_absolute_error: 0.3895, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6545, predictive_accuracy: 0.6986, prior_entropy: 0.8796, recall: 0.6986, relative_absolute_error: 0.9311, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0348, scimark_benchmark: 1321.6263, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.6885, kappa: 0.2346, kb_relative_information_score: 100.9566, mean_absolute_error: 0.3827, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6829, predictive_accuracy: 0.7, prior_entropy: 0.8796, recall: 0.7, relative_absolute_error: 0.9149, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.9742, scimark_benchmark: 1320.9026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6702, f_measure: 0.5952, kappa: 0.0214, kb_relative_information_score: 54.0013, mean_absolute_error: 0.3999, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6343, predictive_accuracy: 0.7014, prior_entropy: 0.8796, recall: 0.7014, relative_absolute_error: 0.9559, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9724, scimark_benchmark: 1347.5461, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5795, f_measure: 0.6672, kappa: 0.175, kb_relative_information_score: 278.4493, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6601, predictive_accuracy: 0.6867, prior_entropy: 0.8796, recall: 0.6867, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5597, root_relative_squared_error: 1.2247, scimark_benchmark: 1349.1028, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5944, f_measure: 0.677, kappa: 0.1921, kb_relative_information_score: 127.0531, mean_absolute_error: 0.3797, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6865, predictive_accuracy: 0.7175, prior_entropy: 0.8796, recall: 0.7175, relative_absolute_error: 0.9078, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9961, scimark_benchmark: 892.0148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.6761, kappa: 0.1971, kb_relative_information_score: -11.3834, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6699, predictive_accuracy: 0.6951, prior_entropy: 0.8796, recall: 0.6951, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0002, scimark_benchmark: 1342.4239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.6761, kappa: 0.1971, kb_relative_information_score: -11.3834, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6699, predictive_accuracy: 0.6951, prior_entropy: 0.8796, recall: 0.6951, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0002, scimark_benchmark: 942.9708, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.6761, kappa: 0.1971, kb_relative_information_score: -11.3834, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6699, predictive_accuracy: 0.6951, prior_entropy: 0.8796, recall: 0.6951, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0002, scimark_benchmark: 1064.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.6786, kappa: 0.196, kb_relative_information_score: 125.3673, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6868, predictive_accuracy: 0.7175, prior_entropy: 0.8796, recall: 0.7175, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9952, scimark_benchmark: 1339.8573, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6386, f_measure: 0.6886, kappa: 0.2269, kb_relative_information_score: 103.7156, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6842, predictive_accuracy: 0.7084, prior_entropy: 0.8796, recall: 0.7084, relative_absolute_error: 0.9085, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.9773, scimark_benchmark: 1313.5052, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.6786, kappa: 0.196, kb_relative_information_score: 125.3673, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6868, predictive_accuracy: 0.7175, prior_entropy: 0.8796, recall: 0.7175, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9952, scimark_benchmark: 1335.2029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, f_measure: 0.5877, kappa: 0.0113, kb_relative_information_score: 337.4243, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6437, 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: 1315.933, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6518, f_measure: 0.681, kappa: 0.2115, kb_relative_information_score: 166.1574, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6749, predictive_accuracy: 0.6972, prior_entropy: 0.8796, recall: 0.6972, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4651, root_relative_squared_error: 1.0177, scimark_benchmark: 1352.2099, usercpu_time_millis: 1840, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.6786, kappa: 0.196, kb_relative_information_score: 125.3673, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6868, predictive_accuracy: 0.7175, prior_entropy: 0.8796, recall: 0.7175, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9952, scimark_benchmark: 1330.2021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.6761, kappa: 0.1971, kb_relative_information_score: -11.3834, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6699, predictive_accuracy: 0.6951, prior_entropy: 0.8796, recall: 0.6951, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0002, scimark_benchmark: 1320.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.603, f_measure: 0.6726, kappa: 0.1897, kb_relative_information_score: 173.5429, mean_absolute_error: 0.3544, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6659, predictive_accuracy: 0.6902, prior_entropy: 0.8796, recall: 0.6902, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.1287, scimark_benchmark: 1371.9645, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.7164, kappa: 0.3034, kb_relative_information_score: 279.663, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.7123, predictive_accuracy: 0.7266, prior_entropy: 0.8796, recall: 0.7266, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9955, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.7164, kappa: 0.3034, kb_relative_information_score: 279.663, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.7123, predictive_accuracy: 0.7266, prior_entropy: 0.8796, recall: 0.7266, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9955, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, f_measure: 0.5877, kappa: 0.0113, kb_relative_information_score: 337.4243, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6437, 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: 918.0213, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.6761, kappa: 0.1971, kb_relative_information_score: -11.3834, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6699, predictive_accuracy: 0.6951, prior_entropy: 0.8796, recall: 0.6951, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0002, scimark_benchmark: 1350.2369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.69, kappa: 0.2343, kb_relative_information_score: 236.9956, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6845, predictive_accuracy: 0.7049, prior_entropy: 0.8796, recall: 0.7049, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4589, root_relative_squared_error: 1.0042, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, build_cpu_time: 0.1317, build_memory: 1172536718.4, f_measure: 0.6697, kappa: 0.1762, kb_relative_information_score: 248.1391, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6657, predictive_accuracy: 0.6979, prior_entropy: 0.8796, recall: 0.6979, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4808, root_relative_squared_error: 1.052, scimark_benchmark: 895.5844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, build_cpu_time: 0.142, build_memory: 787717158.4, f_measure: 0.6697, kappa: 0.1762, kb_relative_information_score: 248.1391, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6657, predictive_accuracy: 0.6979, prior_entropy: 0.8796, recall: 0.6979, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4808, root_relative_squared_error: 1.052, scimark_benchmark: 926.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, build_cpu_time: 0.1349, build_memory: 864330475.2, f_measure: 0.6697, kappa: 0.1762, kb_relative_information_score: 248.1391, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6657, predictive_accuracy: 0.6979, prior_entropy: 0.8796, recall: 0.6979, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4808, root_relative_squared_error: 1.052, scimark_benchmark: 931.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, build_cpu_time: 0.1224, build_memory: 1501099263.2, f_measure: 0.6697, kappa: 0.1762, kb_relative_information_score: 248.1391, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6657, predictive_accuracy: 0.6979, prior_entropy: 0.8796, recall: 0.6979, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4808, root_relative_squared_error: 1.052, scimark_benchmark: 943.4668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, build_cpu_time: 0.3098, build_memory: 844972259.2, f_measure: 0.645, kappa: 0.1245, kb_relative_information_score: 45.4293, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6363, predictive_accuracy: 0.6608, prior_entropy: 0.8796, recall: 0.6608, relative_absolute_error: 0.9092, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4961, root_relative_squared_error: 1.0856, scimark_benchmark: 941.7913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, build_cpu_time: 0.3126, build_memory: 1741046997.6, f_measure: 0.645, kappa: 0.1245, kb_relative_information_score: 45.4293, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6363, predictive_accuracy: 0.6608, prior_entropy: 0.8796, recall: 0.6608, relative_absolute_error: 0.9092, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4961, root_relative_squared_error: 1.0856, scimark_benchmark: 934.1538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6621, build_cpu_time: 2.965, build_memory: 958212641.6, f_measure: 0.6797, kappa: 0.1994, kb_relative_information_score: 100.0727, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6811, predictive_accuracy: 0.7119, prior_entropy: 0.8796, recall: 0.7119, relative_absolute_error: 0.8973, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.9749, scimark_benchmark: 892.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, build_cpu_time: 0.0267, build_memory: 1469307458.4, f_measure: 0.6572, kappa: 0.1475, kb_relative_information_score: 95.7075, mean_absolute_error: 0.3733, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6495, predictive_accuracy: 0.6811, prior_entropy: 0.8796, recall: 0.6811, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9988, scimark_benchmark: 931.0999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, build_cpu_time: 0.5084, build_memory: 439718601.6, f_measure: 0.679, kappa: 0.2001, kb_relative_information_score: 256.4396, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6754, predictive_accuracy: 0.7042, prior_entropy: 0.8796, recall: 0.7042, relative_absolute_error: 0.7805, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4702, root_relative_squared_error: 1.0287, scimark_benchmark: 928.0863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6629, build_cpu_time: 1.2862, build_memory: 601426392.8, f_measure: 0.6763, kappa: 0.1949, kb_relative_information_score: 248.5468, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6713, predictive_accuracy: 0.6993, prior_entropy: 0.8796, recall: 0.6993, relative_absolute_error: 0.7838, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4697, root_relative_squared_error: 1.0277, scimark_benchmark: 935.7354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.643, build_cpu_time: 0.0916, build_memory: 356174733.6, f_measure: 0.6313, kappa: 0.0805, kb_relative_information_score: 67.401, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.634, predictive_accuracy: 0.6902, prior_entropy: 0.8796, recall: 0.6902, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9804, scimark_benchmark: 943.2048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, build_cpu_time: 0.3472, build_memory: 355918162.4, f_measure: 0.6761, kappa: 0.1915, kb_relative_information_score: 263.6927, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6739, predictive_accuracy: 0.7049, prior_entropy: 0.8796, recall: 0.7049, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0347, scimark_benchmark: 941.9153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.643, build_cpu_time: 0.0927, build_memory: 1524241103.2, f_measure: 0.6313, kappa: 0.0805, kb_relative_information_score: 67.401, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.634, predictive_accuracy: 0.6902, prior_entropy: 0.8796, recall: 0.6902, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9804, scimark_benchmark: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6349, build_cpu_time: 5.7822, build_memory: 33668500.8, f_measure: 0.6886, kappa: 0.2298, kb_relative_information_score: 343.1986, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6833, predictive_accuracy: 0.7049, prior_entropy: 0.8796, recall: 0.7049, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5256, root_relative_squared_error: 1.15, scimark_benchmark: 939.8137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6354, build_cpu_time: 2.8165, build_memory: 702245341.6, f_measure: 0.6967, kappa: 0.2503, kb_relative_information_score: 351.2934, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6918, predictive_accuracy: 0.7119, prior_entropy: 0.8796, recall: 0.7119, relative_absolute_error: 0.7028, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5229, root_relative_squared_error: 1.1441, scimark_benchmark: 942.7834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6263, build_cpu_time: 7.813, build_memory: 371883804.8, f_measure: 0.6716, kappa: 0.2017, kb_relative_information_score: 231.9556, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6671, predictive_accuracy: 0.6776, prior_entropy: 0.8796, recall: 0.6776, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.1943, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, build_cpu_time: 0.0069, build_memory: 1301847932.8, f_measure: 0.6461, kappa: 0.1153, kb_relative_information_score: 66.801, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6479, predictive_accuracy: 0.6944, prior_entropy: 0.8796, recall: 0.6944, relative_absolute_error: 0.9185, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9898, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, build_cpu_time: 0.0084, build_memory: 1319837305.6, f_measure: 0.6461, kappa: 0.1153, kb_relative_information_score: 66.801, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6479, predictive_accuracy: 0.6944, prior_entropy: 0.8796, recall: 0.6944, relative_absolute_error: 0.9185, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9898, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, build_cpu_time: 0.0086, build_memory: 1012288035.2, f_measure: 0.6461, kappa: 0.1153, kb_relative_information_score: 66.801, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6479, predictive_accuracy: 0.6944, prior_entropy: 0.8796, recall: 0.6944, relative_absolute_error: 0.9185, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9898, scimark_benchmark: 934.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, build_cpu_time: 0.0004, build_memory: 1401303818.4, f_measure: 0.7194, kappa: 0.3084, kb_relative_information_score: 292.3665, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.7158, predictive_accuracy: 0.7315, prior_entropy: 0.8796, recall: 0.7315, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9872, scimark_benchmark: 945.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6541, build_cpu_time: 0.0483, build_memory: 2558479008, f_measure: 0.6591, kappa: 0.151, kb_relative_information_score: 104.5677, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6522, predictive_accuracy: 0.6853, prior_entropy: 0.8796, recall: 0.6853, relative_absolute_error: 0.888, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.993, scimark_benchmark: 874.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, build_cpu_time: 0.0053, build_memory: 2305154416.8, f_measure: 0.6742, kappa: 0.1887, kb_relative_information_score: 121.1911, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6693, predictive_accuracy: 0.6986, prior_entropy: 0.8796, recall: 0.6986, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4649, root_relative_squared_error: 1.0173, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, build_cpu_time: 0.0037, build_memory: 1002629626.4, f_measure: 0.6742, kappa: 0.1887, kb_relative_information_score: 121.1911, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6693, predictive_accuracy: 0.6986, prior_entropy: 0.8796, recall: 0.6986, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4649, root_relative_squared_error: 1.0173, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6392, build_cpu_time: 0.0272, build_memory: 1229740108, f_measure: 0.6292, kappa: 0.0758, kb_relative_information_score: 68.1182, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6324, predictive_accuracy: 0.6902, prior_entropy: 0.8796, recall: 0.6902, relative_absolute_error: 0.9223, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9833, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5841, build_cpu_time: 0.9399, build_memory: 536098338.4, f_measure: 0.6624, kappa: 0.1666, kb_relative_information_score: 285.0566, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6548, predictive_accuracy: 0.6783, prior_entropy: 0.8796, recall: 0.6783, relative_absolute_error: 0.7412, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5422, root_relative_squared_error: 1.1864, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.63, build_cpu_time: 2.7822, build_memory: 75694856, f_measure: 0.6803, kappa: 0.2256, kb_relative_information_score: 250.2653, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6769, predictive_accuracy: 0.6846, prior_entropy: 0.8796, recall: 0.6846, relative_absolute_error: 0.7702, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5395, root_relative_squared_error: 1.1805, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, build_cpu_time: 5.5198, build_memory: 713271351.2, f_measure: 0.6724, kappa: 0.204, kb_relative_information_score: 235.6266, mean_absolute_error: 0.3258, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6681, predictive_accuracy: 0.6783, prior_entropy: 0.8796, recall: 0.6783, relative_absolute_error: 0.7788, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5451, root_relative_squared_error: 1.1928, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6299, build_cpu_time: 4.9047, build_memory: 696758736.8, f_measure: 0.673, kappa: 0.2052, kb_relative_information_score: 235.5557, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6686, predictive_accuracy: 0.679, prior_entropy: 0.8796, recall: 0.679, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5446, root_relative_squared_error: 1.1916, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6082, build_cpu_time: 0.2708, build_memory: 217291399.2, f_measure: 0.6595, kappa: 0.1593, kb_relative_information_score: 124.2884, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6517, predictive_accuracy: 0.6755, prior_entropy: 0.8796, recall: 0.6755, relative_absolute_error: 0.8635, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0904, scimark_benchmark: 939.7691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, build_cpu_time: 0.0462, build_memory: 588422493.6, f_measure: 0.686, kappa: 0.2146, kb_relative_information_score: 142.631, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6974, predictive_accuracy: 0.7245, prior_entropy: 0.8796, recall: 0.7245, relative_absolute_error: 0.8936, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.9578, scimark_benchmark: 942.2284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, build_cpu_time: 0.0506, build_memory: 429663064.8, f_measure: 0.686, kappa: 0.2146, kb_relative_information_score: 142.631, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6974, predictive_accuracy: 0.7245, prior_entropy: 0.8796, recall: 0.7245, relative_absolute_error: 0.8936, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.9578, scimark_benchmark: 942.3331,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs