OpenML
Supervised Classification on anneal

Supervised Classification on anneal

Task 1 Supervised Classification anneal 950 runs submitted
1 likes downloaded by 5 people , 14 total downloads 0 issues
Visibility: Public
  • basic study_1 study_41 study_7 study_73 study_89 test-tagging testtag under100k under1m
Issue #Downvotes for this reason By


Metric:

950 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, build_cpu_time: 0.0217, build_memory: 581093592.3563, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 220.8146, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.8255, scimark_benchmark: 946.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 0.0535, build_memory: 213708520.9265, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 841.2139, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2512, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, build_cpu_time: 0.4107, build_memory: 2950087156.5434, f_measure: 0.9943, kappa: 0.9861, kb_relative_information_score: 864.7897, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0126, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.04, root_relative_squared_error: 0.1549, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, build_cpu_time: 2.7912, build_memory: 607648943.5278, f_measure: 0.9944, kappa: 0.9861, kb_relative_information_score: 864.8129, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9946, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0143, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0417, root_relative_squared_error: 0.1614, scimark_benchmark: 919.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, build_cpu_time: 0.0928, build_memory: 124058483.0111, f_measure: 0.99, kappa: 0.9749, kb_relative_information_score: 846.8608, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9901, predictive_accuracy: 0.99, prior_entropy: 1.2149, recall: 0.99, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2233, scimark_benchmark: 943.4024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 20.6422, build_memory: 1006331073.6303, f_measure: 0.9966, kappa: 0.9917, kb_relative_information_score: 871.2409, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9968, predictive_accuracy: 0.9967, prior_entropy: 1.2149, recall: 0.9967, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0334, root_relative_squared_error: 0.1292, scimark_benchmark: 930.8778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, build_cpu_time: 0.017, build_memory: 307743517.7194, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 220.8146, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.8255, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, build_cpu_time: 0.448, build_memory: 466045231.5813, f_measure: 0.9943, kappa: 0.9861, kb_relative_information_score: 864.7897, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0126, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.04, root_relative_squared_error: 0.1549, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 9.7506, build_memory: 1070464174.4232, f_measure: 0.9966, kappa: 0.9917, kb_relative_information_score: 871.2331, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9968, predictive_accuracy: 0.9967, prior_entropy: 1.2149, recall: 0.9967, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0334, root_relative_squared_error: 0.1292, scimark_benchmark: 911.2061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 0.0843, build_memory: 779274007.5724, f_measure: 0.9966, kappa: 0.9917, kb_relative_information_score: 871.1971, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9968, predictive_accuracy: 0.9967, prior_entropy: 1.2149, recall: 0.9967, relative_absolute_error: 0.0084, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0334, root_relative_squared_error: 0.1292, scimark_benchmark: 935.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 0.2306, build_memory: 145097795.4566, f_measure: 0.9967, kappa: 0.9917, kb_relative_information_score: 871.2057, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9968, predictive_accuracy: 0.9967, prior_entropy: 1.2149, recall: 0.9967, relative_absolute_error: 0.0084, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0329, root_relative_squared_error: 0.1272, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, build_cpu_time: 1.425, build_memory: 690215153.4788, f_measure: 0.9934, kappa: 0.9834, kb_relative_information_score: 863.906, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9936, predictive_accuracy: 0.9933, prior_entropy: 1.2149, recall: 0.9933, relative_absolute_error: 0.0158, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0437, root_relative_squared_error: 0.1693, scimark_benchmark: 918.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, build_cpu_time: 0.0084, build_memory: 164980616.4009, f_measure: 0.9765, kappa: 0.9412, kb_relative_information_score: 827.9817, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9765, predictive_accuracy: 0.9766, prior_entropy: 1.2149, recall: 0.9766, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.3336, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 0.5339, build_memory: 73540368.882, f_measure: 0.9966, kappa: 0.9917, kb_relative_information_score: 871.2057, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9968, predictive_accuracy: 0.9967, prior_entropy: 1.2149, recall: 0.9967, relative_absolute_error: 0.0084, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0321, root_relative_squared_error: 0.1242, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Read timed out
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, build_cpu_time: 0.0066, build_memory: 1647424264.5345, f_measure: 0.9765, kappa: 0.9412, kb_relative_information_score: 827.9817, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9765, predictive_accuracy: 0.9766, prior_entropy: 1.2149, recall: 0.9766, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.3336, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 0.1178, build_memory: 163959924.8463, f_measure: 0.9967, kappa: 0.9917, kb_relative_information_score: 871.2048, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9968, predictive_accuracy: 0.9967, prior_entropy: 1.2149, recall: 0.9967, relative_absolute_error: 0.0084, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0334, root_relative_squared_error: 0.1292, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: 859.7579, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0193, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9766, kappa: 0.9428, kb_relative_information_score: 821.1566, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9777, predictive_accuracy: 0.9766, prior_entropy: 1.2149, recall: 0.9766, relative_absolute_error: 0.058, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.3419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: 859.7579, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0193, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9862, kappa: 0.9664, kb_relative_information_score: 843.4113, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9867, predictive_accuracy: 0.9866, prior_entropy: 1.2149, recall: 0.9866, relative_absolute_error: 0.032, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.061, root_relative_squared_error: 0.2362, scimark_benchmark: 1346.3935, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9862, kappa: 0.9663, kb_relative_information_score: 755.4037, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9865, predictive_accuracy: 0.9866, prior_entropy: 1.2149, recall: 0.9866, relative_absolute_error: 0.2246, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.3264, scimark_benchmark: 1321.5205, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.9575, kappa: 0.8939, kb_relative_information_score: 776.926, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.959, predictive_accuracy: 0.9566, prior_entropy: 1.2149, recall: 0.9566, relative_absolute_error: 0.1124, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.118, root_relative_squared_error: 0.4571, scimark_benchmark: 1386.5717, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9865, kappa: 0.9668, kb_relative_information_score: 829.0746, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9864, predictive_accuracy: 0.9866, prior_entropy: 1.2149, recall: 0.9866, relative_absolute_error: 0.0718, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0625, root_relative_squared_error: 0.242, scimark_benchmark: 1330.8781, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9888, kappa: 0.9723, kb_relative_information_score: 847.6895, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 1.2149, recall: 0.9889, relative_absolute_error: 0.0416, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.204, scimark_benchmark: 1316.8289, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9878, kappa: 0.9697, kb_relative_information_score: 840.3026, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.988, predictive_accuracy: 0.9878, prior_entropy: 1.2149, recall: 0.9878, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2481, scimark_benchmark: 1292.1375, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9338, kappa: 0.8352, kb_relative_information_score: 734.7777, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9485, predictive_accuracy: 0.9276, prior_entropy: 1.2149, recall: 0.9276, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.5794, scimark_benchmark: 942.6953, usercpu_time_millis: 1060, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9467, kappa: 0.8692, kb_relative_information_score: 765.7585, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9538, predictive_accuracy: 0.9443, prior_entropy: 1.2149, recall: 0.9443, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.4593, scimark_benchmark: 926.6717, usercpu_time_millis: 1000, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 220.8146, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.8255, scimark_benchmark: 938.4278, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 220.8146, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.8255, scimark_benchmark: 922.9039, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9943, kappa: 0.9861, kb_relative_information_score: 862.2854, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9946, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0158, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0442, root_relative_squared_error: 0.171, scimark_benchmark: 924.6116, usercpu_time_millis: 1620, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9921, kappa: 0.9805, kb_relative_information_score: 857.4293, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0224, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0492, root_relative_squared_error: 0.1904, scimark_benchmark: 902.4773, usercpu_time_millis: 480, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 938.9865, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9943, kappa: 0.9861, kb_relative_information_score: 862.4035, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9946, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0161, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0438, root_relative_squared_error: 0.1697, scimark_benchmark: 924.6116, usercpu_time_millis: 800, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.712, kappa: 0.2213, kb_relative_information_score: 409.503, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.7762, prior_entropy: 1.2149, recall: 0.7762, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.8502, scimark_benchmark: 933.8635, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9844, kappa: 0.9615, kb_relative_information_score: 822.8656, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9852, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0881, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0666, root_relative_squared_error: 0.2578, scimark_benchmark: 938.9865, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6587, kb_relative_information_score: 203.0276, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2818, root_relative_squared_error: 1.0915, scimark_benchmark: 929.0255, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9844, kappa: 0.9615, kb_relative_information_score: 822.4387, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9852, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0891, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0666, root_relative_squared_error: 0.2578, scimark_benchmark: 901.0726, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 943.6956, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: 846.4815, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0547, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0487, root_relative_squared_error: 0.1887, scimark_benchmark: 902.4773, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9888, kappa: 0.9723, kb_relative_information_score: 847.6895, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 1.2149, recall: 0.9889, relative_absolute_error: 0.0416, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.204, scimark_benchmark: 940.2922, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9467, kappa: 0.8692, kb_relative_information_score: 765.7585, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9538, predictive_accuracy: 0.9443, prior_entropy: 1.2149, recall: 0.9443, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.4593, scimark_benchmark: 940.2922, usercpu_time_millis: 1070, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9476, kappa: 0.8715, kb_relative_information_score: 767.6556, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9543, predictive_accuracy: 0.9454, prior_entropy: 1.2149, recall: 0.9454, relative_absolute_error: 0.136, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.4723, scimark_benchmark: 945.6434, usercpu_time_millis: 1230, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.8982, kappa: 0.7548, kb_relative_information_score: 663.6863, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9376, predictive_accuracy: 0.8831, prior_entropy: 1.2149, recall: 0.8831, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.6818, scimark_benchmark: 945.6434, usercpu_time_millis: 450, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9824, kappa: 0.9575, kb_relative_information_score: 843.6574, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9826, predictive_accuracy: 0.9833, prior_entropy: 1.2149, recall: 0.9833, relative_absolute_error: 0.0427, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0606, root_relative_squared_error: 0.2345, scimark_benchmark: 931.2336, usercpu_time_millis: 341950, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 341630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 0.2172, build_memory: 48961796.0713, f_measure: 0.9966, kappa: 0.9917, kb_relative_information_score: 871.2408, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9968, predictive_accuracy: 0.9967, prior_entropy: 1.2149, recall: 0.9967, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0334, root_relative_squared_error: 0.1292, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 0.3707, build_memory: 708395683.5991, f_measure: 0.9966, kappa: 0.9917, kb_relative_information_score: 871.2406, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9968, predictive_accuracy: 0.9967, prior_entropy: 1.2149, recall: 0.9967, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0334, root_relative_squared_error: 0.1292, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, kappa: 0.054, kb_relative_information_score: 0.4144, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.1343, weighted_recall: 0.7695, number_of_instances: 898, predictive_accuracy: 0.7695, prior_entropy: 1.1915, relative_absolute_error: 0.6318, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.7101, kappa: 0.3488, kb_relative_information_score: -0.1931, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.1343, weighted_recall: 0.696, number_of_instances: 898, precision: 0.811, predictive_accuracy: 0.696, prior_entropy: 1.1915, relative_absolute_error: 1.3146, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2938, root_relative_squared_error: 1.1378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, kappa: 0.4347, kb_relative_information_score: 0.3231, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8363, number_of_instances: 898, predictive_accuracy: 0.8363, prior_entropy: 1.1915, relative_absolute_error: 0.7026, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.8412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, kappa: 0.054, kb_relative_information_score: 0.4144, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.1343, weighted_recall: 0.7695, number_of_instances: 898, predictive_accuracy: 0.7695, prior_entropy: 1.1915, relative_absolute_error: 0.6318, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, kappa: 0.054, kb_relative_information_score: 0.4144, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.1343, weighted_recall: 0.7695, number_of_instances: 898, predictive_accuracy: 0.7695, prior_entropy: 1.1915, relative_absolute_error: 0.6318, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, kappa: 0.4503, kb_relative_information_score: 0.3383, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1343, weighted_recall: 0.7717, number_of_instances: 898, predictive_accuracy: 0.7717, prior_entropy: 1.1915, relative_absolute_error: 0.7195, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.8515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, build_cpu_time: 0.4438, build_memory: 1526026183.8753, f_measure: 0.9944, kappa: 0.9861, kb_relative_information_score: 865.6896, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0135, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0406, root_relative_squared_error: 0.1572, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 0.1512, build_memory: 666584725.0601, f_measure: 0.9966, kappa: 0.9917, kb_relative_information_score: 870.6026, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9968, predictive_accuracy: 0.9967, prior_entropy: 1.2149, recall: 0.9967, relative_absolute_error: 0.0096, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.034, root_relative_squared_error: 0.1317, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, build_cpu_time: 0.5616, build_memory: 459293808.2494, f_measure: 0.9955, kappa: 0.9889, kb_relative_information_score: 867.0465, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9956, predictive_accuracy: 0.9955, prior_entropy: 1.2149, recall: 0.9955, relative_absolute_error: 0.012, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.039, root_relative_squared_error: 0.151, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, kappa: 0.4347, kb_relative_information_score: 0.3231, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8363, number_of_instances: 898, predictive_accuracy: 0.8363, prior_entropy: 1.1915, relative_absolute_error: 0.7026, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.8412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, build_cpu_time: 26.8187, build_memory: 805308546.3608, f_measure: 0.9954, kappa: 0.9889, kb_relative_information_score: 865.3852, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9957, predictive_accuracy: 0.9955, prior_entropy: 1.2149, recall: 0.9955, relative_absolute_error: 0.0118, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0389, root_relative_squared_error: 0.1505, scimark_benchmark: 938.1146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, build_cpu_time: 15.873, build_memory: 950076355.2962, f_measure: 0.9943, kappa: 0.9861, kb_relative_information_score: 863.9552, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9946, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0134, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0417, root_relative_squared_error: 0.1614, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, build_cpu_time: 61.2106, build_memory: 1234871943.9466, f_measure: 0.9954, kappa: 0.9889, kb_relative_information_score: 865.7482, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9957, predictive_accuracy: 0.9955, prior_entropy: 1.2149, recall: 0.9955, relative_absolute_error: 0.0111, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0385, root_relative_squared_error: 0.1492, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, build_cpu_time: 0.7, build_memory: 1264515687.4477, f_measure: 0.9955, kappa: 0.9889, kb_relative_information_score: 867.0465, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9956, predictive_accuracy: 0.9955, prior_entropy: 1.2149, recall: 0.9955, relative_absolute_error: 0.012, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.039, root_relative_squared_error: 0.151, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: 859.7579, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0193, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1974, usercpu_time_millis: 5.66, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 5.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, build_cpu_time: 0.6806, build_memory: 849226793.3096, f_measure: 0.9955, kappa: 0.9889, kb_relative_information_score: 867.0465, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9956, predictive_accuracy: 0.9955, prior_entropy: 1.2149, recall: 0.9955, relative_absolute_error: 0.012, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.039, root_relative_squared_error: 0.151, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, build_cpu_time: 4.6947, build_memory: 716213705.9688, f_measure: 0.9923, kappa: 0.9806, kb_relative_information_score: 861.1957, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9924, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0199, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.1979, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.8926, kappa: 0.7681, kb_relative_information_score: -477.7774, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8706, predictive_accuracy: 0.9187, prior_entropy: 1.2149, recall: 0.9187, relative_absolute_error: 1.6725, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3142, root_relative_squared_error: 1.2166, scimark_benchmark: 915.2795, usercpu_time_millis: 960, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Attribute confidence.4 not found among predictions.
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Attribute confidence.4 not found among predictions.
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.4).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, build_cpu_time: 683.6486, build_memory: 1702177845.069, f_measure: 0.9921, kappa: 0.9805, kb_relative_information_score: 846.5755, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0538, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0482, root_relative_squared_error: 0.1868, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, build_cpu_time: 0.0038, build_memory: 82625596.3474, f_measure: 0.8843, kappa: 0.7247, kb_relative_information_score: 609.6078, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9334, predictive_accuracy: 0.8653, prior_entropy: 1.2149, recall: 0.8653, relative_absolute_error: 0.3719, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.7921, scimark_benchmark: 1469.6837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, build_cpu_time: 2.6697, build_memory: 1186749869.1047, f_measure: 0.9885, kappa: 0.9721, kb_relative_information_score: 838.0033, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.989, predictive_accuracy: 0.9889, prior_entropy: 1.2149, recall: 0.9889, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0583, root_relative_squared_error: 0.2259, scimark_benchmark: 937.4476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, build_cpu_time: 5.3255, build_memory: 308578277.3719, f_measure: 0.9874, kappa: 0.9694, kb_relative_information_score: 838.0235, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9879, predictive_accuracy: 0.9878, prior_entropy: 1.2149, recall: 0.9878, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0582, root_relative_squared_error: 0.2253, scimark_benchmark: 940.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, build_cpu_time: 5.3119, build_memory: 397078181.7016, f_measure: 0.9874, kappa: 0.9694, kb_relative_information_score: 838.0235, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9879, predictive_accuracy: 0.9878, prior_entropy: 1.2149, recall: 0.9878, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0582, root_relative_squared_error: 0.2253, scimark_benchmark: 946.1752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, build_cpu_time: 30.1543, build_memory: 130372454.4, f_measure: 0.9843, kappa: 0.9636, kb_relative_information_score: 702.0736, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9856, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.2709, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.3628, scimark_benchmark: 1610.9299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, build_cpu_time: 7.8311, build_memory: 1918865465.5768, f_measure: 0.9933, kappa: 0.9833, kb_relative_information_score: 822.413, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 1.2149, recall: 0.9933, relative_absolute_error: 0.1046, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.2152, scimark_benchmark: 911.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, build_cpu_time: 8.1764, build_memory: 1143024971.5813, f_measure: 0.9933, kappa: 0.9833, kb_relative_information_score: 822.413, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 1.2149, recall: 0.9933, relative_absolute_error: 0.1046, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.2152, scimark_benchmark: 921.6453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, build_cpu_time: 0.7893, build_memory: 170992068.2405, f_measure: 0.9865, kappa: 0.9667, kb_relative_information_score: 833.7952, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9868, predictive_accuracy: 0.9866, prior_entropy: 1.2149, recall: 0.9866, relative_absolute_error: 0.0673, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.2224, scimark_benchmark: 934.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, build_cpu_time: 0.1338, build_memory: 569872576.3385, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 414.8389, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.4069, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.233, root_relative_squared_error: 0.9022, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, kb_relative_information_score: -0.0014, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.7617, prior_entropy: 1.1915, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1148.7037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7197, build_cpu_time: 0.0205, build_memory: 1035449199.608, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 413.4812, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.4099, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.8883, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, build_cpu_time: 4.1558, build_memory: 749565045.7728, f_measure: 0.9933, kappa: 0.9833, kb_relative_information_score: 822.6885, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 1.2149, recall: 0.9933, relative_absolute_error: 0.1043, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.2147, scimark_benchmark: 871.6268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 2.27, build_memory: 1176060607.5457, f_measure: 0.9909, kappa: 0.9777, kb_relative_information_score: 823.0981, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 1.2149, recall: 0.9911, relative_absolute_error: 0.1032, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.2159, scimark_benchmark: 947.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, build_cpu_time: 9.5038, build_memory: 927844549.8263, f_measure: 0.9885, kappa: 0.972, kb_relative_information_score: 838.3942, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 1.2149, recall: 0.9889, relative_absolute_error: 0.0643, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.1985, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, build_cpu_time: 9.7576, build_memory: 1604441714.4944, f_measure: 0.9885, kappa: 0.972, kb_relative_information_score: 838.3942, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 1.2149, recall: 0.9889, relative_absolute_error: 0.0643, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.1985, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, build_cpu_time: 9.617, build_memory: 569857251.9733, f_measure: 0.9885, kappa: 0.972, kb_relative_information_score: 838.3942, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 1.2149, recall: 0.9889, relative_absolute_error: 0.0643, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.1985, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, build_cpu_time: 9.9152, build_memory: 821098380.3742, f_measure: 0.9885, kappa: 0.972, kb_relative_information_score: 838.3942, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 1.2149, recall: 0.9889, relative_absolute_error: 0.0643, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.1985, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 1.8182, build_memory: 355709719.7506, f_measure: 0.9909, kappa: 0.9777, kb_relative_information_score: 822.8663, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 1.2149, recall: 0.9911, relative_absolute_error: 0.1035, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0565, root_relative_squared_error: 0.2186, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 0.0016, build_memory: 60948412.7305, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1801.7585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 0.002, build_memory: 61907203.9376, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1730.9593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, build_cpu_time: 0.0045, build_memory: 37652990.6192, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 415.1078, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.9046, scimark_benchmark: 1997.2337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, build_cpu_time: 0.0011, build_memory: 43655649.0601, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 415.1078, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.9046, scimark_benchmark: 1761.8965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, build_cpu_time: 0.0551, build_memory: 59665605.2205, f_measure: 0.9843, kappa: 0.9612, kb_relative_information_score: 830.7466, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9843, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0693, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0637, root_relative_squared_error: 0.2467, scimark_benchmark: 1997.2337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 0.0023, build_memory: 62755112.0802, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1768.0907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 0.0018, build_memory: 63540912.7929, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1763.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 0.0005, build_memory: 48626217.5857, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1911.2828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, build_cpu_time: 0.1056, build_memory: 163695375.2606, f_measure: 0.9725, kappa: 0.9326, kb_relative_information_score: -451.2056, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9731, predictive_accuracy: 0.9733, prior_entropy: 1.2149, recall: 0.9733, relative_absolute_error: 1.6592, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3111, root_relative_squared_error: 1.205, scimark_benchmark: 1997.2337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, build_cpu_time: 0.0389, build_memory: 788267144.4543, f_measure: 0.9431, kappa: 0.8662, kb_relative_information_score: 642.8171, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9387, predictive_accuracy: 0.9477, prior_entropy: 1.2149, recall: 0.9477, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.128, root_relative_squared_error: 0.4957, scimark_benchmark: 943.0515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, build_cpu_time: 0.0325, build_memory: 499562478.8775, f_measure: 0.9431, kappa: 0.8662, kb_relative_information_score: 641.9119, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9387, predictive_accuracy: 0.9477, prior_entropy: 1.2149, recall: 0.9477, relative_absolute_error: 0.3584, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.4967, scimark_benchmark: 906.33,

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