Task
Supervised Classification on squash-stored

Supervised Classification on squash-stored

Task 4204 Supervised Classification squash-stored 178 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

178 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, build_cpu_time: 0.0273, build_memory: 4869586250.0923, f_measure: 0.6902, kappa: 0.493, kb_relative_information_score: 214.3055, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.7019, predictive_accuracy: 0.6962, prior_entropy: 1.4782, recall: 0.6962, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.8236, scimark_benchmark: 930.5591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, build_cpu_time: 0.0141, build_memory: 4071290523.4923, f_measure: 0.6817, kappa: 0.4816, kb_relative_information_score: 215.9026, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6862, predictive_accuracy: 0.6865, prior_entropy: 1.4782, recall: 0.6865, relative_absolute_error: 0.6641, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.8269, scimark_benchmark: 908.3379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, build_cpu_time: 0.0753, build_memory: 986537383.0769, f_measure: 0.6918, kappa: 0.4976, kb_relative_information_score: 212.32, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.7015, predictive_accuracy: 0.6981, prior_entropy: 1.4782, recall: 0.6981, relative_absolute_error: 0.6727, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.8278, scimark_benchmark: 939.8067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, build_cpu_time: 0.2833, build_memory: 697823693.9692, f_measure: 0.6779, kappa: 0.4765, kb_relative_information_score: 197.7816, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.687, predictive_accuracy: 0.6865, prior_entropy: 1.4782, recall: 0.6865, relative_absolute_error: 0.6934, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.8338, scimark_benchmark: 944.9095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, build_cpu_time: 0.2356, build_memory: 1485613046.7077, f_measure: 0.6795, kappa: 0.4776, kb_relative_information_score: 195.1156, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6877, predictive_accuracy: 0.6865, prior_entropy: 1.4782, recall: 0.6865, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.8405, scimark_benchmark: 736.1335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, build_cpu_time: 0.1022, build_memory: 1263064720.7539, f_measure: 0.6918, kappa: 0.4995, kb_relative_information_score: 212.8966, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.7017, predictive_accuracy: 0.7, prior_entropy: 1.4782, recall: 0.7, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.8234, scimark_benchmark: 944.4636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7209, f_measure: 0.5897, kappa: 0.3397, kb_relative_information_score: 204.6076, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5887, predictive_accuracy: 0.6077, prior_entropy: 1.4782, recall: 0.6077, relative_absolute_error: 0.6359, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4683, root_relative_squared_error: 1.0321, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, f_measure: 0.6204, kappa: 0.379, kb_relative_information_score: 210.3155, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6216, predictive_accuracy: 0.6231, prior_entropy: 1.4782, recall: 0.6231, relative_absolute_error: 0.6372, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4612, root_relative_squared_error: 1.0163, scimark_benchmark: 1006.9991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, f_measure: 0.6181, kappa: 0.3753, kb_relative_information_score: 209.1125, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6194, predictive_accuracy: 0.6212, prior_entropy: 1.4782, recall: 0.6212, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4622, root_relative_squared_error: 1.0186, scimark_benchmark: 916.6405, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.6323, kappa: 0.398, kb_relative_information_score: 151.7247, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6401, predictive_accuracy: 0.6385, prior_entropy: 1.4782, recall: 0.6385, relative_absolute_error: 0.7923, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.8777, scimark_benchmark: 1322.7257, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7305, kappa: 0.5608, kb_relative_information_score: 270.7267, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.7328, predictive_accuracy: 0.7308, prior_entropy: 1.4782, recall: 0.7308, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.8455, scimark_benchmark: 940.3347, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4758, f_measure: 0.3775, kappa: -0.0134, kb_relative_information_score: 22.4851, mean_absolute_error: 0.4236, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.3749, predictive_accuracy: 0.3827, prior_entropy: 1.4782, recall: 0.3827, relative_absolute_error: 1.0243, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.1343, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.6323, kappa: 0.398, kb_relative_information_score: 151.7247, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6401, predictive_accuracy: 0.6385, prior_entropy: 1.4782, recall: 0.6385, relative_absolute_error: 0.7923, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.8777, scimark_benchmark: 1322.7257, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.6323, kappa: 0.398, kb_relative_information_score: 151.7247, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6401, predictive_accuracy: 0.6385, prior_entropy: 1.4782, recall: 0.6385, relative_absolute_error: 0.7923, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.8777, scimark_benchmark: 1291.6995, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4294, f_measure: 0.2713, kb_relative_information_score: -0.995, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.1956, predictive_accuracy: 0.4423, prior_entropy: 1.4782, recall: 0.4423, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.455, root_relative_squared_error: 1.0026, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.6412, kappa: 0.4176, kb_relative_information_score: 215.9069, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6415, predictive_accuracy: 0.6442, prior_entropy: 1.4782, recall: 0.6442, relative_absolute_error: 0.6459, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.9986, scimark_benchmark: 1501.4698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6617, f_measure: 0.5789, kappa: 0.322, kb_relative_information_score: 189.2017, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5789, predictive_accuracy: 0.5808, prior_entropy: 1.4782, recall: 0.5808, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.5287, root_relative_squared_error: 1.165, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.5608, kappa: 0.3011, kb_relative_information_score: 127.1373, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5491, predictive_accuracy: 0.5865, prior_entropy: 1.4782, recall: 0.5865, relative_absolute_error: 0.8373, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.9225, scimark_benchmark: 1336.2509, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.5608, kappa: 0.3011, kb_relative_information_score: 127.1373, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5491, predictive_accuracy: 0.5865, prior_entropy: 1.4782, recall: 0.5865, relative_absolute_error: 0.8373, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.9225, scimark_benchmark: 929.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.5608, kappa: 0.3011, kb_relative_information_score: 127.1373, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5491, predictive_accuracy: 0.5865, prior_entropy: 1.4782, recall: 0.5865, relative_absolute_error: 0.8373, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.9225, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.5822, kappa: 0.3215, kb_relative_information_score: 158.9834, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5817, predictive_accuracy: 0.5942, prior_entropy: 1.4782, recall: 0.5942, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4594, root_relative_squared_error: 1.0125, scimark_benchmark: 1287.514, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5324, f_measure: 0.4262, kappa: 0.0651, kb_relative_information_score: 71.9519, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.4216, predictive_accuracy: 0.4346, prior_entropy: 1.4782, recall: 0.4346, relative_absolute_error: 0.9115, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.6139, root_relative_squared_error: 1.3529, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5156, f_measure: 0.4127, kappa: 0.0362, kb_relative_information_score: 60.9667, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.4117, predictive_accuracy: 0.4173, prior_entropy: 1.4782, recall: 0.4173, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.6233, root_relative_squared_error: 1.3735, scimark_benchmark: 1319.6463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4407, f_measure: 0.2938, kappa: -0.0362, kb_relative_information_score: 2.8296, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.2958, predictive_accuracy: 0.4154, prior_entropy: 1.4782, recall: 0.4154, relative_absolute_error: 1.0201, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4892, root_relative_squared_error: 1.078, scimark_benchmark: 1369.9744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4839, f_measure: 0.263, kappa: -0.0331, kb_relative_information_score: 53.8163, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.1908, predictive_accuracy: 0.4231, prior_entropy: 1.4782, recall: 0.4231, relative_absolute_error: 0.9301, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.6202, root_relative_squared_error: 1.3667, scimark_benchmark: 1315.3881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.5953, kappa: 0.3493, kb_relative_information_score: 194.7848, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5925, predictive_accuracy: 0.6, prior_entropy: 1.4782, recall: 0.6, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0121, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4672, f_measure: 0.3474, kappa: -0.0616, kb_relative_information_score: 20.3901, mean_absolute_error: 0.4249, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.3388, predictive_accuracy: 0.3635, prior_entropy: 1.4782, recall: 0.3635, relative_absolute_error: 1.0276, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.5064, root_relative_squared_error: 1.116, scimark_benchmark: 1368.9272, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.5953, kappa: 0.3493, kb_relative_information_score: 194.7848, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5925, predictive_accuracy: 0.6, prior_entropy: 1.4782, recall: 0.6, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0121, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.5953, kappa: 0.3493, kb_relative_information_score: 194.7848, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5925, predictive_accuracy: 0.6, prior_entropy: 1.4782, recall: 0.6, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0121, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4758, f_measure: 0.3775, kappa: -0.0134, kb_relative_information_score: 22.4851, mean_absolute_error: 0.4236, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.3749, predictive_accuracy: 0.3827, prior_entropy: 1.4782, recall: 0.3827, relative_absolute_error: 1.0243, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.1343, scimark_benchmark: 1314.7093, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6883, f_measure: 0.6153, kappa: 0.3755, kb_relative_information_score: 201.7741, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6155, predictive_accuracy: 0.6192, prior_entropy: 1.4782, recall: 0.6192, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4628, root_relative_squared_error: 1.0198, scimark_benchmark: 1392.1129, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.5953, kappa: 0.3493, kb_relative_information_score: 194.7848, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5925, predictive_accuracy: 0.6, prior_entropy: 1.4782, recall: 0.6, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0121, scimark_benchmark: 1304.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6223, f_measure: 0.5447, kappa: 0.2602, kb_relative_information_score: 150.9779, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5432, predictive_accuracy: 0.5481, prior_entropy: 1.4782, recall: 0.5481, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.5372, root_relative_squared_error: 1.1838, scimark_benchmark: 1321.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6442, f_measure: 0.5489, kappa: 0.271, kb_relative_information_score: 155.553, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5572, predictive_accuracy: 0.5423, prior_entropy: 1.4782, recall: 0.5423, relative_absolute_error: 0.7379, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.5524, root_relative_squared_error: 1.2173, scimark_benchmark: 869.6028, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.6692, kappa: 0.4604, kb_relative_information_score: 248.0044, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6735, predictive_accuracy: 0.675, prior_entropy: 1.4782, recall: 0.675, relative_absolute_error: 0.5746, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.856, scimark_benchmark: 1335.643, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.5461, kappa: 0.285, kb_relative_information_score: 87.3775, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5813, predictive_accuracy: 0.5865, prior_entropy: 1.4782, recall: 0.5865, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.931, scimark_benchmark: 1331.2332, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.5953, kappa: 0.3493, kb_relative_information_score: 194.7848, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5925, predictive_accuracy: 0.6, prior_entropy: 1.4782, recall: 0.6, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0121, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.7113, kappa: 0.5366, kb_relative_information_score: 299.3459, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.7134, predictive_accuracy: 0.7135, prior_entropy: 1.4782, recall: 0.7135, relative_absolute_error: 0.4558, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.9252, scimark_benchmark: 1320.4762, usercpu_time_millis: 80, usercpu_time_millis_testing: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7673, f_measure: 0.6326, kappa: 0.4018, kb_relative_information_score: 227.924, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6322, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.6046, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9904, scimark_benchmark: 1322.4968, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.5652, kappa: 0.3047, kb_relative_information_score: 156.2186, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6371, predictive_accuracy: 0.5962, prior_entropy: 1.4782, recall: 0.5962, relative_absolute_error: 0.7905, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.9649, scimark_benchmark: 1328.941, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.6316, kappa: 0.3984, kb_relative_information_score: 233.4434, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6322, predictive_accuracy: 0.6327, prior_entropy: 1.4782, recall: 0.6327, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.482, root_relative_squared_error: 1.0621, scimark_benchmark: 1313.6093, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6442, f_measure: 0.5489, kappa: 0.271, kb_relative_information_score: 155.553, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5572, predictive_accuracy: 0.5423, prior_entropy: 1.4782, recall: 0.5423, relative_absolute_error: 0.7379, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.5524, root_relative_squared_error: 1.2173, scimark_benchmark: 1313.6093, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4645, f_measure: 0.3477, kappa: -0.0613, kb_relative_information_score: 19.628, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.3416, predictive_accuracy: 0.3615, prior_entropy: 1.4782, recall: 0.3615, relative_absolute_error: 1.0288, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.1192, scimark_benchmark: 1351.6526, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.6285, kappa: 0.3943, kb_relative_information_score: 236.1436, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6286, predictive_accuracy: 0.6308, prior_entropy: 1.4782, recall: 0.6308, relative_absolute_error: 0.5827, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.458, root_relative_squared_error: 1.0093, scimark_benchmark: 1329.8902, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7323, f_measure: 0.6191, kappa: 0.3851, kb_relative_information_score: 141.0475, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6188, predictive_accuracy: 0.6327, prior_entropy: 1.4782, recall: 0.6327, relative_absolute_error: 0.8104, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.9179, scimark_benchmark: 1316.7714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.736, f_measure: 0.5457, kappa: 0.2954, kb_relative_information_score: 79.4808, mean_absolute_error: 0.3755, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5773, predictive_accuracy: 0.5942, prior_entropy: 1.4782, recall: 0.5942, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.9334, scimark_benchmark: 1312.0581, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7305, kappa: 0.5608, kb_relative_information_score: 270.7267, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.7328, predictive_accuracy: 0.7308, prior_entropy: 1.4782, recall: 0.7308, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.8455, scimark_benchmark: 1059.8591, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2713, kb_relative_information_score: 67.506, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.1956, predictive_accuracy: 0.4423, prior_entropy: 1.4782, recall: 0.4423, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.6098, root_relative_squared_error: 1.3437, scimark_benchmark: 1123.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.733, kappa: 0.5636, kb_relative_information_score: 289.5836, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.741, predictive_accuracy: 0.7288, prior_entropy: 1.4782, recall: 0.7288, relative_absolute_error: 0.4756, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.9104, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.5855, kappa: 0.3268, kb_relative_information_score: 191.9821, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5827, predictive_accuracy: 0.5923, prior_entropy: 1.4782, recall: 0.5923, relative_absolute_error: 0.6942, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4546, root_relative_squared_error: 1.0018, 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: 0.4666, f_measure: 0.3669, kappa: -0.0271, kb_relative_information_score: 19.837, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.3617, predictive_accuracy: 0.3788, prior_entropy: 1.4782, recall: 0.3788, relative_absolute_error: 1.0292, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.5093, root_relative_squared_error: 1.1223, scimark_benchmark: 1327.4647, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4294, f_measure: 0.2713, kb_relative_information_score: -0.995, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.1956, predictive_accuracy: 0.4423, prior_entropy: 1.4782, recall: 0.4423, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.455, root_relative_squared_error: 1.0026, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6466, f_measure: 0.5115, kappa: 0.2349, kb_relative_information_score: 113.6569, mean_absolute_error: 0.3514, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.4724, predictive_accuracy: 0.5596, prior_entropy: 1.4782, recall: 0.5596, relative_absolute_error: 0.8498, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4597, root_relative_squared_error: 1.0129, scimark_benchmark: 940.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7748, f_measure: 0.5939, kappa: 0.3546, kb_relative_information_score: 35.015, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6125, predictive_accuracy: 0.6231, prior_entropy: 1.4782, recall: 0.6231, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4424, root_relative_squared_error: 0.975, scimark_benchmark: 1321.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7078, f_measure: 0.6389, kappa: 0.4088, kb_relative_information_score: 208.7848, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6408, predictive_accuracy: 0.6404, prior_entropy: 1.4782, recall: 0.6404, relative_absolute_error: 0.6627, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.9878, scimark_benchmark: 1321.3021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4691, f_measure: 0.3784, kappa: -0.0144, kb_relative_information_score: 19.3876, mean_absolute_error: 0.4249, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.3741, predictive_accuracy: 0.3885, prior_entropy: 1.4782, recall: 0.3885, relative_absolute_error: 1.0276, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.5098, root_relative_squared_error: 1.1235, scimark_benchmark: 933.3136, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.5608, kappa: 0.3011, kb_relative_information_score: 127.2229, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5491, predictive_accuracy: 0.5865, prior_entropy: 1.4782, recall: 0.5865, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.9222, scimark_benchmark: 1304.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.5949, kappa: 0.3423, kb_relative_information_score: 142.379, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6018, predictive_accuracy: 0.6038, prior_entropy: 1.4782, recall: 0.6038, relative_absolute_error: 0.8236, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.933, scimark_benchmark: 924.1296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, f_measure: 0.5633, kappa: 0.3062, kb_relative_information_score: 126.6924, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5521, predictive_accuracy: 0.5904, prior_entropy: 1.4782, recall: 0.5904, relative_absolute_error: 0.8379, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.9181, scimark_benchmark: 1304.6687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.576, kappa: 0.3109, kb_relative_information_score: 222.3526, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5767, predictive_accuracy: 0.5808, prior_entropy: 1.4782, recall: 0.5808, relative_absolute_error: 0.6448, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.879, scimark_benchmark: 939.5205, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5146, f_measure: 0.3107, kappa: 0.0298, kb_relative_information_score: 64.4503, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.438, predictive_accuracy: 0.4577, prior_entropy: 1.4782, recall: 0.4577, relative_absolute_error: 0.9115, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4783, root_relative_squared_error: 1.054, scimark_benchmark: 942.9708, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.723, kappa: 0.5481, kb_relative_information_score: 204.4482, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.7248, predictive_accuracy: 0.725, prior_entropy: 1.4782, recall: 0.725, relative_absolute_error: 0.7203, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.8482, scimark_benchmark: 1310.3951, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6735, f_measure: 0.6178, kappa: 0.375, kb_relative_information_score: 183.3578, mean_absolute_error: 0.2944, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6222, predictive_accuracy: 0.625, prior_entropy: 1.4782, recall: 0.625, relative_absolute_error: 0.712, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4599, root_relative_squared_error: 1.0136, scimark_benchmark: 1350.073, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, f_measure: 0.6201, kappa: 0.3846, kb_relative_information_score: 207.26, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6207, predictive_accuracy: 0.625, prior_entropy: 1.4782, recall: 0.625, relative_absolute_error: 0.6617, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4594, root_relative_squared_error: 1.0124, scimark_benchmark: 1352.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.5863, kappa: 0.3585, kb_relative_information_score: 201.3163, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6047, predictive_accuracy: 0.5904, prior_entropy: 1.4782, recall: 0.5904, relative_absolute_error: 0.6526, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4903, root_relative_squared_error: 1.0805, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.607, kappa: 0.3625, kb_relative_information_score: 218.9015, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6098, predictive_accuracy: 0.6058, prior_entropy: 1.4782, recall: 0.6058, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.502, root_relative_squared_error: 1.1063, scimark_benchmark: 1331.482, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.5772, kappa: 0.3476, kb_relative_information_score: 195.2711, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5993, predictive_accuracy: 0.5808, prior_entropy: 1.4782, recall: 0.5808, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4965, root_relative_squared_error: 1.094, scimark_benchmark: 1326.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.5953, kappa: 0.3493, kb_relative_information_score: 194.7848, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5925, predictive_accuracy: 0.6, prior_entropy: 1.4782, recall: 0.6, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0121, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.5794, kappa: 0.3235, kb_relative_information_score: 162.7232, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5825, predictive_accuracy: 0.5981, prior_entropy: 1.4782, recall: 0.5981, relative_absolute_error: 0.7442, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4566, root_relative_squared_error: 1.0062, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.5953, kappa: 0.3493, kb_relative_information_score: 194.7848, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5925, predictive_accuracy: 0.6, prior_entropy: 1.4782, recall: 0.6, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0121, scimark_benchmark: 1286.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.5618, kappa: 0.3296, kb_relative_information_score: 193.5322, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.586, predictive_accuracy: 0.5673, prior_entropy: 1.4782, recall: 0.5673, relative_absolute_error: 0.6694, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0977, scimark_benchmark: 1325.5087, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.5794, kappa: 0.3235, kb_relative_information_score: 162.7232, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5825, predictive_accuracy: 0.5981, prior_entropy: 1.4782, recall: 0.5981, relative_absolute_error: 0.7442, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4566, root_relative_squared_error: 1.0062, scimark_benchmark: 1330.7934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.733, kappa: 0.5636, kb_relative_information_score: 301.9575, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.741, predictive_accuracy: 0.7288, prior_entropy: 1.4782, recall: 0.7288, relative_absolute_error: 0.4371, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.937, scimark_benchmark: 944.4621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.5595, kappa: 0.2763, kb_relative_information_score: 165.4281, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5659, predictive_accuracy: 0.5673, prior_entropy: 1.4782, recall: 0.5673, relative_absolute_error: 0.7174, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.519, root_relative_squared_error: 1.1437, scimark_benchmark: 1319.4388, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.6559, kappa: 0.4306, kb_relative_information_score: 254.0767, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6649, predictive_accuracy: 0.6558, prior_entropy: 1.4782, recall: 0.6558, relative_absolute_error: 0.5622, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.906, scimark_benchmark: 1327.2035, usercpu_time_millis: 720, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.6913, kappa: 0.501, kb_relative_information_score: 213.4088, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6904, predictive_accuracy: 0.6942, prior_entropy: 1.4782, recall: 0.6942, relative_absolute_error: 0.6652, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.8306, scimark_benchmark: 941.9549, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4758, f_measure: 0.3775, kappa: -0.0134, kb_relative_information_score: 22.4851, mean_absolute_error: 0.4236, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.3749, predictive_accuracy: 0.3827, prior_entropy: 1.4782, recall: 0.3827, relative_absolute_error: 1.0243, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.1343, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.6323, kappa: 0.398, kb_relative_information_score: 151.7247, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6401, predictive_accuracy: 0.6385, prior_entropy: 1.4782, recall: 0.6385, relative_absolute_error: 0.7923, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.8777, scimark_benchmark: 936.9595, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.6924, kappa: 0.5047, kb_relative_information_score: 221.4341, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6939, predictive_accuracy: 0.6981, prior_entropy: 1.4782, recall: 0.6981, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.7951, scimark_benchmark: 920.3788, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.6954, kappa: 0.5069, kb_relative_information_score: 215.4337, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6953, predictive_accuracy: 0.7, prior_entropy: 1.4782, recall: 0.7, relative_absolute_error: 0.6666, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.8006, scimark_benchmark: 945.5968, usercpu_time_millis: 210, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8579, f_measure: 0.6994, kappa: 0.5151, kb_relative_information_score: 217.5159, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.7005, predictive_accuracy: 0.7058, prior_entropy: 1.4782, recall: 0.7058, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7924, scimark_benchmark: 926.5462, usercpu_time_millis: 500, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.691, kappa: 0.5016, kb_relative_information_score: 218.0102, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6941, predictive_accuracy: 0.6981, prior_entropy: 1.4782, recall: 0.6981, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.7917, scimark_benchmark: 972.587, usercpu_time_millis: 930, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.5953, kappa: 0.3493, kb_relative_information_score: 194.7848, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5925, predictive_accuracy: 0.6, prior_entropy: 1.4782, recall: 0.6, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0121, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.5953, kappa: 0.3493, kb_relative_information_score: 194.7848, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5925, predictive_accuracy: 0.6, prior_entropy: 1.4782, recall: 0.6, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0121, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.6323, kappa: 0.398, kb_relative_information_score: 151.7247, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6401, predictive_accuracy: 0.6385, prior_entropy: 1.4782, recall: 0.6385, relative_absolute_error: 0.7923, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.8777, scimark_benchmark: 1374.9737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.5953, kappa: 0.3493, kb_relative_information_score: 194.7848, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5925, predictive_accuracy: 0.6, prior_entropy: 1.4782, recall: 0.6, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0121, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7248, f_measure: 0.5585, kappa: 0.3122, kb_relative_information_score: 165.187, mean_absolute_error: 0.2909, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5382, predictive_accuracy: 0.6, prior_entropy: 1.4782, recall: 0.6, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4547, root_relative_squared_error: 1.002, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.5608, kappa: 0.3011, kb_relative_information_score: 127.1373, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5491, predictive_accuracy: 0.5865, prior_entropy: 1.4782, recall: 0.5865, relative_absolute_error: 0.8373, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.9225, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.5532, kappa: 0.3101, kb_relative_information_score: 169.6071, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5124, predictive_accuracy: 0.6019, prior_entropy: 1.4782, recall: 0.6019, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4612, root_relative_squared_error: 1.0164, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.5532, kappa: 0.3101, kb_relative_information_score: 169.6071, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5124, predictive_accuracy: 0.6019, prior_entropy: 1.4782, recall: 0.6019, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4612, root_relative_squared_error: 1.0164, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7287, f_measure: 0.5575, kappa: 0.3005, kb_relative_information_score: 133.9989, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5412, predictive_accuracy: 0.5885, prior_entropy: 1.4782, recall: 0.5885, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9438, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.5953, kappa: 0.3493, kb_relative_information_score: 194.7848, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5925, predictive_accuracy: 0.6, prior_entropy: 1.4782, recall: 0.6, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0121, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6729, f_measure: 0.602, kappa: 0.3491, kb_relative_information_score: 204.4454, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.606, predictive_accuracy: 0.6096, prior_entropy: 1.4782, recall: 0.6096, relative_absolute_error: 0.6294, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.5102, root_relative_squared_error: 1.1242, scimark_benchmark: 1346.3935, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, f_measure: 0.5037, kappa: 0.2163, kb_relative_information_score: 107.1766, mean_absolute_error: 0.3502, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5105, predictive_accuracy: 0.5077, prior_entropy: 1.4782, recall: 0.5077, relative_absolute_error: 0.847, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.5171, root_relative_squared_error: 1.1394, scimark_benchmark: 1348.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6496, f_measure: 0.574, kappa: 0.3117, kb_relative_information_score: 150.0692, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.572, predictive_accuracy: 0.5788, prior_entropy: 1.4782, recall: 0.5788, relative_absolute_error: 0.7689, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0484, scimark_benchmark: 939.9176, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7629, f_measure: 0.6324, kappa: 0.4024, kb_relative_information_score: 214.6243, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6319, predictive_accuracy: 0.6365, prior_entropy: 1.4782, recall: 0.6365, relative_absolute_error: 0.6344, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.9711, scimark_benchmark: 909.1698, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.6369, kappa: 0.408, kb_relative_information_score: 234.0504, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6372, predictive_accuracy: 0.6385, prior_entropy: 1.4782, recall: 0.6385, relative_absolute_error: 0.5865, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.476, root_relative_squared_error: 1.049, scimark_benchmark: 1339.4964, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7287, f_measure: 0.5717, kappa: 0.3252, kb_relative_information_score: 85.5596, mean_absolute_error: 0.3725, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6426, predictive_accuracy: 0.6096, prior_entropy: 1.4782, recall: 0.6096, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.9312, scimark_benchmark: 1264.0609, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.592, kappa: 0.3899, kb_relative_information_score: 209.5422, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6079, predictive_accuracy: 0.6077, prior_entropy: 1.4782, recall: 0.6077, relative_absolute_error: 0.6747, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.465, root_relative_squared_error: 1.0248, scimark_benchmark: 939.5088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4294, f_measure: 0.2713, kb_relative_information_score: -0.995, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.1956, predictive_accuracy: 0.4423, prior_entropy: 1.4782, recall: 0.4423, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.455, root_relative_squared_error: 1.0026, scimark_benchmark: 936.1714,

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