DEVELOPMENT...

A PHP Error was encountered

Severity: Warning

Message: fopen(/data/log/sql.log): failed to open stream: Permission denied

Filename: models/Log.php

Line Number: 37

Backtrace:

File: /var/www/openml/openml_OS/models/Log.php
Line: 37
Function: fopen

File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
Line: 30
Function: sql

File: /var/www/openml/openml_OS/views/pages/frontend/t/pre.php
Line: 104
Function: query

File: /var/www/openml/openml_OS/helpers/cms_helper.php
Line: 19
Function: view

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 85
Function: loadpage

File: /var/www/openml/index.php
Line: 337
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: fopen(/data/log/sql.log): failed to open stream: Permission denied

Filename: models/Log.php

Line Number: 37

Backtrace:

File: /var/www/openml/openml_OS/models/Log.php
Line: 37
Function: fopen

File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
Line: 30
Function: sql

File: /var/www/openml/openml_OS/views/pages/frontend/t/pre.php
Line: 124
Function: query

File: /var/www/openml/openml_OS/helpers/cms_helper.php
Line: 19
Function: view

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 85
Function: loadpage

File: /var/www/openml/index.php
Line: 337
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: fopen(/data/log/sql.log): failed to open stream: Permission denied

Filename: models/Log.php

Line Number: 37

Backtrace:

File: /var/www/openml/openml_OS/models/Log.php
Line: 37
Function: fopen

File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
Line: 30
Function: sql

File: /var/www/openml/openml_OS/views/pages/frontend/t/pre.php
Line: 117
Function: query

File: /var/www/openml/openml_OS/helpers/cms_helper.php
Line: 19
Function: view

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 85
Function: loadpage

File: /var/www/openml/index.php
Line: 337
Function: require_once

OpenML
Task
Supervised Classification on wine

Supervised Classification on wine

Task 3045 Supervised Classification wine 294 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

294 Runs

Fetching data
Fetching data
Search runs in more detail run
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.948, kappa: 0.9205, kb_relative_information_score: 51.8738, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9532, predictive_accuracy: 0.9483, prior_entropy: 1.5674, recall: 0.9483, relative_absolute_error: 0.1131, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.3602, scimark_benchmark: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2957, kb_relative_information_score: 8.5554, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.2167, predictive_accuracy: 0.4655, prior_entropy: 1.5674, recall: 0.4655, relative_absolute_error: 0.9148, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0764, scimark_benchmark: 1325.2092, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 34.9955, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.519, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.6005, scimark_benchmark: 912.5006, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9308, kappa: 0.8934, kb_relative_information_score: 51.6746, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9328, predictive_accuracy: 0.931, prior_entropy: 1.5674, recall: 0.931, relative_absolute_error: 0.1181, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3435, scimark_benchmark: 1337.7959, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8793, kappa: 0.8166, kb_relative_information_score: 47.9314, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8969, predictive_accuracy: 0.8793, prior_entropy: 1.5674, recall: 0.8793, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2837, root_relative_squared_error: 0.6103, scimark_benchmark: 1304.9611, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.948, kappa: 0.9196, kb_relative_information_score: 52.4592, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9486, predictive_accuracy: 0.9483, prior_entropy: 1.5674, recall: 0.9483, relative_absolute_error: 0.1043, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.2807, scimark_benchmark: 1315.3881, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.8953, kappa: 0.8392, kb_relative_information_score: 47.2839, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8966, predictive_accuracy: 0.8966, prior_entropy: 1.5674, recall: 0.8966, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.4061, scimark_benchmark: 1336.2509, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.9296, kappa: 0.8916, kb_relative_information_score: 51.4149, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9361, predictive_accuracy: 0.931, prior_entropy: 1.5674, recall: 0.931, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4613, scimark_benchmark: 1325.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8439, kappa: 0.7652, kb_relative_information_score: 43.0965, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8624, predictive_accuracy: 0.8448, prior_entropy: 1.5674, recall: 0.8448, relative_absolute_error: 0.2906, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6495, scimark_benchmark: 1318.5526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.8262, kappa: 0.7377, kb_relative_information_score: 41.9796, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8381, predictive_accuracy: 0.8276, prior_entropy: 1.5674, recall: 0.8276, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.7072, scimark_benchmark: 1346.9602, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9308, kappa: 0.8934, kb_relative_information_score: 51.7709, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9328, predictive_accuracy: 0.931, prior_entropy: 1.5674, recall: 0.931, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4613, scimark_benchmark: 1318.1432, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4839, f_measure: 0.1134, kappa: -0.0285, kb_relative_information_score: -2.0883, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.0726, predictive_accuracy: 0.2586, prior_entropy: 1.5674, recall: 0.2586, relative_absolute_error: 1.1347, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.703, root_relative_squared_error: 1.5125, scimark_benchmark: 1466.6185, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.843, kappa: 0.7612, kb_relative_information_score: 44.35, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8506, predictive_accuracy: 0.8448, prior_entropy: 1.5674, recall: 0.8448, relative_absolute_error: 0.2463, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6878, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.7541, kappa: 0.6347, kb_relative_information_score: 38.4032, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.7667, predictive_accuracy: 0.7586, prior_entropy: 1.5674, recall: 0.7586, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.863, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.8262, kappa: 0.7377, kb_relative_information_score: 43.5233, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8381, predictive_accuracy: 0.8276, prior_entropy: 1.5674, recall: 0.8276, relative_absolute_error: 0.2639, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.339, root_relative_squared_error: 0.7294, scimark_benchmark: 1380.2233, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2957, kb_relative_information_score: 0.1253, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.2167, predictive_accuracy: 0.4655, prior_entropy: 1.5674, recall: 0.4655, relative_absolute_error: 1.0094, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.4681, root_relative_squared_error: 1.007, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8423, kappa: 0.76, kb_relative_information_score: 44.35, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8452, predictive_accuracy: 0.8448, prior_entropy: 1.5674, recall: 0.8448, relative_absolute_error: 0.2463, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6878, scimark_benchmark: 1501.4698, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.902, build_memory: 1109936704, f_measure: 1, kappa: 1, kb_relative_information_score: 57.21, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 1, predictive_accuracy: 1, prior_entropy: 1.5674, recall: 1, root_mean_prior_squared_error: 0.4648, scimark_benchmark: 936.5273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.458, build_memory: 682114112, f_measure: 1, kappa: 1, kb_relative_information_score: 57.21, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 1, predictive_accuracy: 1, prior_entropy: 1.5674, recall: 1, root_mean_prior_squared_error: 0.4648, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.235, build_memory: 1223169256, f_measure: 1, kappa: 1, kb_relative_information_score: 57.2096, mean_absolute_error: 0, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 1, predictive_accuracy: 1, prior_entropy: 1.5674, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.0001, root_relative_squared_error: 0.0001, scimark_benchmark: 935.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.259, build_memory: 860516936, f_measure: 1, kappa: 1, kb_relative_information_score: 57.0777, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 1, predictive_accuracy: 1, prior_entropy: 1.5674, recall: 1, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.0143, root_relative_squared_error: 0.0308, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, build_cpu_time: 0.013, build_memory: 953913568, f_measure: 0.8793, kappa: 0.8145, kb_relative_information_score: 47.0454, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8841, predictive_accuracy: 0.8793, prior_entropy: 1.5674, recall: 0.8793, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.5943, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, build_cpu_time: 0.018, build_memory: 791644376, f_measure: 0.8952, kappa: 0.8435, kb_relative_information_score: 49.5816, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9149, predictive_accuracy: 0.8966, prior_entropy: 1.5674, recall: 0.8966, relative_absolute_error: 0.1517, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.5319, scimark_benchmark: 943.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, build_cpu_time: 0.024, build_memory: 764274296, f_measure: 0.8952, kappa: 0.8435, kb_relative_information_score: 49.455, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9149, predictive_accuracy: 0.8966, prior_entropy: 1.5674, recall: 0.8966, relative_absolute_error: 0.1547, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.5375, scimark_benchmark: 926.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, build_cpu_time: 0.038, build_memory: 473305376, f_measure: 0.8952, kappa: 0.8435, kb_relative_information_score: 49.455, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9149, predictive_accuracy: 0.8966, prior_entropy: 1.5674, recall: 0.8966, relative_absolute_error: 0.1547, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.5375, scimark_benchmark: 941.8181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, build_cpu_time: 0.036, build_memory: 331535280, f_measure: 0.8952, kappa: 0.8435, kb_relative_information_score: 49.455, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9149, predictive_accuracy: 0.8966, prior_entropy: 1.5674, recall: 0.8966, relative_absolute_error: 0.1547, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.5375, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, build_cpu_time: 0.003, build_memory: 277325736, f_measure: 0.8766, kappa: 0.8183, kb_relative_information_score: 48.0031, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.902, predictive_accuracy: 0.8793, prior_entropy: 1.5674, recall: 0.8793, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2837, root_relative_squared_error: 0.6103, scimark_benchmark: 941.8828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, build_cpu_time: 0.003, build_memory: 839795800, f_measure: 0.8766, kappa: 0.8183, kb_relative_information_score: 48.0031, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.902, predictive_accuracy: 0.8793, prior_entropy: 1.5674, recall: 0.8793, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2837, root_relative_squared_error: 0.6103, scimark_benchmark: 925.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, build_cpu_time: 0.002, build_memory: 42963592, f_measure: 0.8766, kappa: 0.8183, kb_relative_information_score: 48.0031, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.902, predictive_accuracy: 0.8793, prior_entropy: 1.5674, recall: 0.8793, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2837, root_relative_squared_error: 0.6103, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, build_cpu_time: 0.002, build_memory: 743492976, f_measure: 0.8766, kappa: 0.8183, kb_relative_information_score: 48.0031, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.902, predictive_accuracy: 0.8793, prior_entropy: 1.5674, recall: 0.8793, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2837, root_relative_squared_error: 0.6103, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, build_memory: 431730280, f_measure: 0.8766, kappa: 0.8183, kb_relative_information_score: 48.0031, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.902, predictive_accuracy: 0.8793, prior_entropy: 1.5674, recall: 0.8793, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2837, root_relative_squared_error: 0.6103, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, build_cpu_time: 0.024, build_memory: 2597693216, f_measure: 0.9481, kappa: 0.9205, kb_relative_information_score: 48.3437, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9533, predictive_accuracy: 0.9483, prior_entropy: 1.5674, recall: 0.9483, relative_absolute_error: 0.2016, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3593, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, build_cpu_time: 0.037, build_memory: 2886355848, f_measure: 0.9481, kappa: 0.9205, kb_relative_information_score: 48.3437, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9533, predictive_accuracy: 0.9483, prior_entropy: 1.5674, recall: 0.9483, relative_absolute_error: 0.2016, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3593, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, build_cpu_time: 0.023, build_memory: 1523404000, f_measure: 0.9481, kappa: 0.9205, kb_relative_information_score: 48.3437, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9533, predictive_accuracy: 0.9483, prior_entropy: 1.5674, recall: 0.9483, relative_absolute_error: 0.2016, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3593, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, build_cpu_time: 0.039, build_memory: 2311665160, f_measure: 0.9481, kappa: 0.9205, kb_relative_information_score: 48.3437, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9533, predictive_accuracy: 0.9483, prior_entropy: 1.5674, recall: 0.9483, relative_absolute_error: 0.2016, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3593, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, build_cpu_time: 0.029, build_memory: 2967842648, f_measure: 0.9481, kappa: 0.9205, kb_relative_information_score: 48.3437, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9533, predictive_accuracy: 0.9483, prior_entropy: 1.5674, recall: 0.9483, relative_absolute_error: 0.2016, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3593, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, build_cpu_time: 0.075, build_memory: 303503696, f_measure: 0.9304, kappa: 0.8945, kb_relative_information_score: 51.9484, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9389, predictive_accuracy: 0.931, prior_entropy: 1.5674, recall: 0.931, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4613, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, build_cpu_time: 0.035, build_memory: 441358272, f_measure: 0.9304, kappa: 0.8945, kb_relative_information_score: 51.9109, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9389, predictive_accuracy: 0.931, prior_entropy: 1.5674, recall: 0.931, relative_absolute_error: 0.1066, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4614, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, build_cpu_time: 0.028, build_memory: 191289832, f_measure: 0.8952, kappa: 0.8435, kb_relative_information_score: 48.9068, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9149, predictive_accuracy: 0.8966, prior_entropy: 1.5674, recall: 0.8966, relative_absolute_error: 0.1674, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2628, root_relative_squared_error: 0.5654, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, build_cpu_time: 0.015, build_memory: 960049960, f_measure: 0.878, kappa: 0.8165, kb_relative_information_score: 48.5958, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8919, predictive_accuracy: 0.8793, prior_entropy: 1.5674, recall: 0.8793, relative_absolute_error: 0.1687, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.5541, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, build_cpu_time: 0.005, build_memory: 342145856, f_measure: 0.8431, kappa: 0.7642, kb_relative_information_score: 44.5775, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8585, predictive_accuracy: 0.8448, prior_entropy: 1.5674, recall: 0.8448, relative_absolute_error: 0.2585, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6312, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_cpu_time: 0.005, build_memory: 1024556432, f_measure: 0.9486, kappa: 0.9197, kb_relative_information_score: 53.2578, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9517, predictive_accuracy: 0.9483, prior_entropy: 1.5674, recall: 0.9483, relative_absolute_error: 0.0775, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3731, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_cpu_time: 0.008, build_memory: 1295320552, f_measure: 0.9486, kappa: 0.9197, kb_relative_information_score: 53.2578, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9517, predictive_accuracy: 0.9483, prior_entropy: 1.5674, recall: 0.9483, relative_absolute_error: 0.0775, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3731, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_cpu_time: 0.005, build_memory: 1559588136, f_measure: 0.9486, kappa: 0.9197, kb_relative_information_score: 53.2578, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9517, predictive_accuracy: 0.9483, prior_entropy: 1.5674, recall: 0.9483, relative_absolute_error: 0.0775, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3731, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_cpu_time: 0.006, build_memory: 673782712, f_measure: 0.9486, kappa: 0.9197, kb_relative_information_score: 53.2578, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9517, predictive_accuracy: 0.9483, prior_entropy: 1.5674, recall: 0.9483, relative_absolute_error: 0.0775, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3731, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_cpu_time: 0.007, build_memory: 708252272, f_measure: 0.9486, kappa: 0.9197, kb_relative_information_score: 53.2578, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9517, predictive_accuracy: 0.9483, prior_entropy: 1.5674, recall: 0.9483, relative_absolute_error: 0.0775, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3731, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, build_cpu_time: 1.965, build_memory: 24339184, f_measure: 0.8784, kappa: 0.8125, kb_relative_information_score: 47.4037, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8783, predictive_accuracy: 0.8793, prior_entropy: 1.5674, recall: 0.8793, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.5827, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, build_cpu_time: 3.115, build_memory: 420081728, f_measure: 0.9304, kappa: 0.8922, kb_relative_information_score: 51.1324, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9308, predictive_accuracy: 0.931, prior_entropy: 1.5674, recall: 0.931, relative_absolute_error: 0.116, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4694, scimark_benchmark: 940.3132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, build_cpu_time: 5.503, build_memory: 475464704, f_measure: 0.9132, kappa: 0.8661, kb_relative_information_score: 50.9676, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9135, predictive_accuracy: 0.9138, prior_entropy: 1.5674, recall: 0.9138, relative_absolute_error: 0.1209, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.4802, scimark_benchmark: 939.8137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, build_cpu_time: 11.612, build_memory: 880969416, f_measure: 0.9132, kappa: 0.8661, kb_relative_information_score: 49.8747, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9135, predictive_accuracy: 0.9138, prior_entropy: 1.5674, recall: 0.9138, relative_absolute_error: 0.1414, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.5221, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, build_cpu_time: 4.583, build_memory: 239946704, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 55.8947, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.0264, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.2307, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, build_cpu_time: 2.178, build_memory: 596330984, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 55.8947, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.0264, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.2307, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, build_cpu_time: 1.187, build_memory: 1791190448, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 55.3329, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.2536, scimark_benchmark: 932.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, build_cpu_time: 0.647, build_memory: 650519352, f_measure: 0.9654, kappa: 0.9467, kb_relative_information_score: 54.5799, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9676, predictive_accuracy: 0.9655, prior_entropy: 1.5674, recall: 0.9655, relative_absolute_error: 0.0528, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.3261, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, build_cpu_time: 0.185, build_memory: 576404128, f_measure: 0.948, kappa: 0.9205, kb_relative_information_score: 52.9041, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9532, predictive_accuracy: 0.9483, prior_entropy: 1.5674, recall: 0.9483, relative_absolute_error: 0.0877, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.4063, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, build_cpu_time: 0.552, build_memory: 957366408, f_measure: 0.948, kappa: 0.9205, kb_relative_information_score: 53.3016, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9532, predictive_accuracy: 0.9483, prior_entropy: 1.5674, recall: 0.9483, relative_absolute_error: 0.0781, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.3943, scimark_benchmark: 885.5309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, build_cpu_time: 0.627, build_memory: 1748791248, f_measure: 0.948, kappa: 0.9205, kb_relative_information_score: 53.2643, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9532, predictive_accuracy: 0.9483, prior_entropy: 1.5674, recall: 0.9483, relative_absolute_error: 0.0792, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.3995, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, build_cpu_time: 1.328, build_memory: 981674040, f_measure: 0.9654, kappa: 0.9467, kb_relative_information_score: 54.5794, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9676, predictive_accuracy: 0.9655, prior_entropy: 1.5674, recall: 0.9655, relative_absolute_error: 0.0528, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.3262, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, build_cpu_time: 2.783, build_memory: 1273591344, f_measure: 0.9654, kappa: 0.9467, kb_relative_information_score: 54.5795, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9676, predictive_accuracy: 0.9655, prior_entropy: 1.5674, recall: 0.9655, relative_absolute_error: 0.0528, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.3262, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, build_cpu_time: 0.445, build_memory: 840420536, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 55.8945, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.0264, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.2307, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, build_cpu_time: 0.236, build_memory: 410642880, f_measure: 0.9654, kappa: 0.9467, kb_relative_information_score: 54.5788, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9676, predictive_accuracy: 0.9655, prior_entropy: 1.5674, recall: 0.9655, relative_absolute_error: 0.0528, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.3262, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, build_cpu_time: 0.141, build_memory: 119878232, f_measure: 0.9654, kappa: 0.9467, kb_relative_information_score: 54.5795, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9676, predictive_accuracy: 0.9655, prior_entropy: 1.5674, recall: 0.9655, relative_absolute_error: 0.0528, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.3262, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, build_cpu_time: 0.07, build_memory: 361550208, f_measure: 0.9654, kappa: 0.9467, kb_relative_information_score: 54.5795, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9676, predictive_accuracy: 0.9655, prior_entropy: 1.5674, recall: 0.9655, relative_absolute_error: 0.0528, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.3262, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.058, build_memory: 748177432, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 55.8922, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.0265, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.2306, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, build_cpu_time: 0.014, build_memory: 133556944, f_measure: 0.9127, kappa: 0.8688, kb_relative_information_score: 50.347, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.926, predictive_accuracy: 0.9138, prior_entropy: 1.5674, recall: 0.9138, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.5036, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, build_cpu_time: 0.027, build_memory: 389557624, f_measure: 0.948, kappa: 0.9205, kb_relative_information_score: 53.2642, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9532, predictive_accuracy: 0.9483, prior_entropy: 1.5674, recall: 0.9483, relative_absolute_error: 0.0792, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.3995, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, build_cpu_time: 0.055, build_memory: 435199032, f_measure: 0.948, kappa: 0.9205, kb_relative_information_score: 53.2634, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9532, predictive_accuracy: 0.9483, prior_entropy: 1.5674, recall: 0.9483, relative_absolute_error: 0.0792, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.3995, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, build_cpu_time: 0.175, build_memory: 927702432, f_measure: 0.9308, kappa: 0.8945, kb_relative_information_score: 51.9596, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9403, predictive_accuracy: 0.931, prior_entropy: 1.5674, recall: 0.931, relative_absolute_error: 0.1053, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.46, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, build_cpu_time: 0.136, build_memory: 61084264, f_measure: 0.9308, kappa: 0.8945, kb_relative_information_score: 52.1934, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9403, predictive_accuracy: 0.931, prior_entropy: 1.5674, recall: 0.931, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4369, scimark_benchmark: 941.1732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, build_cpu_time: 0.022, build_memory: 324513976, f_measure: 0.9654, kappa: 0.9467, kb_relative_information_score: 53.7495, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9676, predictive_accuracy: 0.9655, prior_entropy: 1.5674, recall: 0.9655, relative_absolute_error: 0.0764, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.3231, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, build_cpu_time: 0.008, build_memory: 651881280, f_measure: 0.9654, kappa: 0.9467, kb_relative_information_score: 53.7495, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9676, predictive_accuracy: 0.9655, prior_entropy: 1.5674, recall: 0.9655, relative_absolute_error: 0.0764, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.3231, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, build_cpu_time: 0.008, build_memory: 337924704, f_measure: 0.9654, kappa: 0.9467, kb_relative_information_score: 53.7495, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9676, predictive_accuracy: 0.9655, prior_entropy: 1.5674, recall: 0.9655, relative_absolute_error: 0.0764, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.3231, scimark_benchmark: 908.2898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, build_cpu_time: 0.091, build_memory: 187558216, f_measure: 0.8286, kappa: 0.7337, kb_relative_information_score: 42.2336, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8322, predictive_accuracy: 0.8276, prior_entropy: 1.5674, recall: 0.8276, relative_absolute_error: 0.2924, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.7124, scimark_benchmark: 922.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, build_cpu_time: 0.184, build_memory: 3294440168, f_measure: 0.9304, kappa: 0.8945, kb_relative_information_score: 52.3176, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9389, predictive_accuracy: 0.931, prior_entropy: 1.5674, recall: 0.931, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4272, scimark_benchmark: 949.8157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, build_cpu_time: 0.087, build_memory: 484895440, f_measure: 0.9128, kappa: 0.8689, kb_relative_information_score: 51.2171, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9262, predictive_accuracy: 0.9138, prior_entropy: 1.5674, recall: 0.9138, relative_absolute_error: 0.1199, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.4773, scimark_benchmark: 920.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, build_cpu_time: 0.047, build_memory: 1038191128, f_measure: 0.8952, kappa: 0.8435, kb_relative_information_score: 49.1463, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9149, predictive_accuracy: 0.8966, prior_entropy: 1.5674, recall: 0.8966, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2628, root_relative_squared_error: 0.5654, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.002, build_memory: 659583584, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 55.4823, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.0373, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.2308, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, build_cpu_time: 0.034, build_memory: 558201584, f_measure: 0.8953, kappa: 0.8392, kb_relative_information_score: 47.2839, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8966, predictive_accuracy: 0.8966, prior_entropy: 1.5674, recall: 0.8966, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.4061, scimark_benchmark: 941.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, build_cpu_time: 0.004, build_memory: 621761576, f_measure: 0.8098, kappa: 0.71, kb_relative_information_score: 40.636, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8172, predictive_accuracy: 0.8103, prior_entropy: 1.5674, recall: 0.8103, relative_absolute_error: 0.3323, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.7381, scimark_benchmark: 936.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, build_memory: 903873760, f_measure: 0.9654, kappa: 0.9467, kb_relative_information_score: 53.7495, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9676, predictive_accuracy: 0.9655, prior_entropy: 1.5674, recall: 0.9655, relative_absolute_error: 0.0764, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.3231, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.017, build_memory: 1139213816, f_measure: 0.2957, kb_relative_information_score: 8.5554, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.2167, predictive_accuracy: 0.4655, prior_entropy: 1.5674, recall: 0.4655, relative_absolute_error: 0.9148, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0764, scimark_benchmark: 915.7861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, build_cpu_time: 0.014, build_memory: 1246654696, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 34.9955, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.519, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.6005, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.015, build_memory: 49217584, f_measure: 0.9656, kappa: 0.9456, kb_relative_information_score: 54.4141, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9679, predictive_accuracy: 0.9655, prior_entropy: 1.5674, recall: 0.9655, relative_absolute_error: 0.0505, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.3123, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_cpu_time: 0.001, build_memory: 111116560, f_measure: 0.9486, kappa: 0.9197, kb_relative_information_score: 53.2578, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9517, predictive_accuracy: 0.9483, prior_entropy: 1.5674, recall: 0.9483, relative_absolute_error: 0.0775, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3731, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_memory: 116565312, f_measure: 0.9486, kappa: 0.9197, kb_relative_information_score: 53.2578, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9517, predictive_accuracy: 0.9483, prior_entropy: 1.5674, recall: 0.9483, relative_absolute_error: 0.0775, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3731, scimark_benchmark: 941.5899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, build_cpu_time: 0.007, build_memory: 1274228760, f_measure: 0.8615, kappa: 0.7879, kb_relative_information_score: 41.7433, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8659, predictive_accuracy: 0.8621, prior_entropy: 1.5674, recall: 0.8621, relative_absolute_error: 0.3219, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.5563, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, build_cpu_time: 0.014, build_memory: 350127952, f_measure: 0.8615, kappa: 0.7879, kb_relative_information_score: 41.7433, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8659, predictive_accuracy: 0.8621, prior_entropy: 1.5674, recall: 0.8621, relative_absolute_error: 0.3219, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.5563, scimark_benchmark: 933.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, build_cpu_time: 0.001, build_memory: 637909760, f_measure: 0.7541, kappa: 0.6347, kb_relative_information_score: 38.4032, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.7667, predictive_accuracy: 0.7586, prior_entropy: 1.5674, recall: 0.7586, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.863, scimark_benchmark: 947.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, build_memory: 789225208, f_measure: 0.7541, kappa: 0.6347, kb_relative_information_score: 38.4032, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.7667, predictive_accuracy: 0.7586, prior_entropy: 1.5674, recall: 0.7586, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.863, scimark_benchmark: 929.8725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, build_memory: 68854832, f_measure: 0.7541, kappa: 0.6347, kb_relative_information_score: 38.4032, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.7667, predictive_accuracy: 0.7586, prior_entropy: 1.5674, recall: 0.7586, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.863, scimark_benchmark: 946.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, build_cpu_time: 0.001, build_memory: 445936824, f_measure: 0.7541, kappa: 0.6347, kb_relative_information_score: 38.4032, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.7667, predictive_accuracy: 0.7586, prior_entropy: 1.5674, recall: 0.7586, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.863, scimark_benchmark: 946.5615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_memory: 779185920, f_measure: 0.2957, kb_relative_information_score: 0.1253, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.2167, predictive_accuracy: 0.4655, prior_entropy: 1.5674, recall: 0.4655, relative_absolute_error: 1.0094, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.4681, root_relative_squared_error: 1.007, scimark_benchmark: 949.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_memory: 324534312, f_measure: 0.2957, kb_relative_information_score: 0.1253, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.2167, predictive_accuracy: 0.4655, prior_entropy: 1.5674, recall: 0.4655, relative_absolute_error: 1.0094, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.4681, root_relative_squared_error: 1.007, scimark_benchmark: 943.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_memory: 579288648, f_measure: 0.9486, kappa: 0.9197, kb_relative_information_score: 53.2578, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9517, predictive_accuracy: 0.9483, prior_entropy: 1.5674, recall: 0.9483, relative_absolute_error: 0.0775, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3731, scimark_benchmark: 947.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.101, build_memory: 714822064, f_measure: 0.9481, kappa: 0.9205, kb_relative_information_score: 34.386, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9533, predictive_accuracy: 0.9483, prior_entropy: 1.5674, recall: 0.9483, relative_absolute_error: 0.5295, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2806, root_relative_squared_error: 0.6037, scimark_benchmark: 934.8065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.262, build_memory: 99264560, f_measure: 0.9654, kappa: 0.9467, kb_relative_information_score: 34.459, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9676, predictive_accuracy: 0.9655, prior_entropy: 1.5674, recall: 0.9655, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.6014, scimark_benchmark: 921.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.264, build_memory: 295504944, f_measure: 0.9654, kappa: 0.9467, kb_relative_information_score: 34.459, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9676, predictive_accuracy: 0.9655, prior_entropy: 1.5674, recall: 0.9655, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.6014, scimark_benchmark: 933.1047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.221, build_memory: 1243754304, f_measure: 0.9654, kappa: 0.9467, kb_relative_information_score: 34.459, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9676, predictive_accuracy: 0.9655, prior_entropy: 1.5674, recall: 0.9655, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.6014, scimark_benchmark: 938.2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.392, build_memory: 447190864, f_measure: 0.9659, kappa: 0.9467, kb_relative_information_score: 34.4624, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9696, predictive_accuracy: 0.9655, prior_entropy: 1.5674, recall: 0.9655, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.6007, scimark_benchmark: 901.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.787, build_memory: 393981872, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 34.6002, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.5266, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2777, root_relative_squared_error: 0.5974, scimark_benchmark: 945.8947,

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