Task
Supervised Classification on hypothyroid

Supervised Classification on hypothyroid

Task 3044 Supervised Classification hypothyroid 280 runs submitted
0 likes downloaded by 1 people , 3 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

280 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9858, kappa: 0.9067, kb_relative_information_score: 1068.4593, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9871, predictive_accuracy: 0.9855, prior_entropy: 0.4715, recall: 0.9855, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.4194, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9964, kappa: 0.9784, kb_relative_information_score: 1165.55, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.996, predictive_accuracy: 0.9968, prior_entropy: 0.4715, recall: 0.9968, relative_absolute_error: 0.0901, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0396, root_relative_squared_error: 0.206, scimark_benchmark: 851.2074, usercpu_time_millis: 1820, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5102, f_measure: 0.8873, kappa: 0.0377, kb_relative_information_score: 291.547, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.928, predictive_accuracy: 0.9228, prior_entropy: 0.4715, recall: 0.9228, relative_absolute_error: 0.5246, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1964, root_relative_squared_error: 1.0216, scimark_benchmark: 931.771, usercpu_time_millis: 9990, usercpu_time_millis_testing: 1610, usercpu_time_millis_training: 8380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9829, kappa: 0.8875, kb_relative_information_score: 1027.682, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4715, recall: 0.9831, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4387, scimark_benchmark: 941.6675, usercpu_time_millis: 100, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9829, kappa: 0.8875, kb_relative_information_score: 1027.682, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4715, recall: 0.9831, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4387, scimark_benchmark: 941.6675, usercpu_time_millis: 90, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9956, kappa: 0.9728, kb_relative_information_score: 1154.3766, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9952, predictive_accuracy: 0.996, prior_entropy: 0.4715, recall: 0.996, relative_absolute_error: 0.0685, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0418, root_relative_squared_error: 0.2172, scimark_benchmark: 941.6675, usercpu_time_millis: 310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9829, kappa: 0.8875, kb_relative_information_score: 1027.682, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4715, recall: 0.9831, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4387, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5102, f_measure: 0.8873, kappa: 0.0377, kb_relative_information_score: 291.547, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.928, predictive_accuracy: 0.9228, prior_entropy: 0.4715, recall: 0.9228, relative_absolute_error: 0.5246, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1964, root_relative_squared_error: 1.0216, scimark_benchmark: 947.1781, usercpu_time_millis: 9280, usercpu_time_millis_testing: 1900, usercpu_time_millis_training: 7380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9923, kappa: 0.951, kb_relative_information_score: 1135.255, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9924, predictive_accuracy: 0.9928, prior_entropy: 0.4715, recall: 0.9928, relative_absolute_error: 0.0634, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.058, root_relative_squared_error: 0.3018, scimark_benchmark: 936.3373, usercpu_time_millis: 8310, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 8220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9915, kappa: 0.9451, kb_relative_information_score: 952.2638, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9912, predictive_accuracy: 0.992, prior_entropy: 0.4715, recall: 0.992, relative_absolute_error: 0.2514, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.3779, scimark_benchmark: 947.1781, usercpu_time_millis: 1380, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 1150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9858, kappa: 0.9067, kb_relative_information_score: 1068.4593, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9871, predictive_accuracy: 0.9855, prior_entropy: 0.4715, recall: 0.9855, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.4194, scimark_benchmark: 819.5729, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9964, kappa: 0.9784, kb_relative_information_score: 1165.55, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.996, predictive_accuracy: 0.9968, prior_entropy: 0.4715, recall: 0.9968, relative_absolute_error: 0.0901, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0396, root_relative_squared_error: 0.206, scimark_benchmark: 906.5979, usercpu_time_millis: 1690, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5102, f_measure: 0.8873, kappa: 0.0377, kb_relative_information_score: 291.547, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.928, predictive_accuracy: 0.9228, prior_entropy: 0.4715, recall: 0.9228, relative_absolute_error: 0.5246, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1964, root_relative_squared_error: 1.0216, scimark_benchmark: 908.9569, usercpu_time_millis: 16610, usercpu_time_millis_testing: 4560, usercpu_time_millis_training: 12050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5102, f_measure: 0.8873, kappa: 0.0377, kb_relative_information_score: 291.547, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.928, predictive_accuracy: 0.9228, prior_entropy: 0.4715, recall: 0.9228, relative_absolute_error: 0.5246, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1964, root_relative_squared_error: 1.0216, scimark_benchmark: 919.3788, usercpu_time_millis: 25680, usercpu_time_millis_testing: 7390, usercpu_time_millis_training: 18290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.981, kappa: 0.8726, kb_relative_information_score: 990.5468, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9813, predictive_accuracy: 0.9807, prior_entropy: 0.4715, recall: 0.9807, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.4751, scimark_benchmark: 938.1282, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9829, kappa: 0.8875, kb_relative_information_score: 1027.682, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4715, recall: 0.9831, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4387, scimark_benchmark: 938.1282, usercpu_time_millis: 90, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9829, kappa: 0.8875, kb_relative_information_score: 1027.682, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4715, recall: 0.9831, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4387, scimark_benchmark: 938.1282, usercpu_time_millis: 90, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9829, kappa: 0.8875, kb_relative_information_score: 1027.682, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4715, recall: 0.9831, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4387, scimark_benchmark: 903.2737, usercpu_time_millis: 90, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9956, kappa: 0.9728, kb_relative_information_score: 1154.3766, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9952, predictive_accuracy: 0.996, prior_entropy: 0.4715, recall: 0.996, relative_absolute_error: 0.0685, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0418, root_relative_squared_error: 0.2172, scimark_benchmark: 941.4991, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9829, kappa: 0.8875, kb_relative_information_score: 1027.682, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4715, recall: 0.9831, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4387, scimark_benchmark: 944.0133, usercpu_time_millis: 100, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9923, kappa: 0.951, kb_relative_information_score: 1135.255, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9924, predictive_accuracy: 0.9928, prior_entropy: 0.4715, recall: 0.9928, relative_absolute_error: 0.0634, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.058, root_relative_squared_error: 0.3018, scimark_benchmark: 935.5664, usercpu_time_millis: 8490, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 8400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9915, kappa: 0.9451, kb_relative_information_score: 952.2638, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9912, predictive_accuracy: 0.992, prior_entropy: 0.4715, recall: 0.992, relative_absolute_error: 0.2514, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.3779, scimark_benchmark: 1051.249, usercpu_time_millis: 1650, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 1280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.998, kappa: 0.9891, kb_relative_information_score: 1030.4956, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9976, predictive_accuracy: 0.9984, prior_entropy: 0.4715, recall: 0.9984, relative_absolute_error: 0.1924, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0553, root_relative_squared_error: 0.2878, scimark_benchmark: 938.988, usercpu_time_millis: 60160, usercpu_time_millis_testing: 24280, usercpu_time_millis_training: 35880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.998, kappa: 0.9891, kb_relative_information_score: 1053.8462, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9976, predictive_accuracy: 0.9984, prior_entropy: 0.4715, recall: 0.9984, relative_absolute_error: 0.1793, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0532, root_relative_squared_error: 0.2764, scimark_benchmark: 901.4991, usercpu_time_millis: 30360, usercpu_time_millis_testing: 12100, usercpu_time_millis_training: 18260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9964, kappa: 0.9784, kb_relative_information_score: 1042.6632, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.996, predictive_accuracy: 0.9968, prior_entropy: 0.4715, recall: 0.9968, relative_absolute_error: 0.1838, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0562, root_relative_squared_error: 0.2923, scimark_benchmark: 939.7241, usercpu_time_millis: 11940, usercpu_time_millis_testing: 3120, usercpu_time_millis_training: 8820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9972, kappa: 0.9838, kb_relative_information_score: 1051.2058, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9968, predictive_accuracy: 0.9976, prior_entropy: 0.4715, recall: 0.9976, relative_absolute_error: 0.1652, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0553, root_relative_squared_error: 0.2874, scimark_benchmark: 914.3583, usercpu_time_millis: 7190, usercpu_time_millis_testing: 1560, usercpu_time_millis_training: 5630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9948, kappa: 0.9677, kb_relative_information_score: 1083.5179, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9946, predictive_accuracy: 0.9952, prior_entropy: 0.4715, recall: 0.9952, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0555, root_relative_squared_error: 0.2887, scimark_benchmark: 936.7184, usercpu_time_millis: 2950, usercpu_time_millis_testing: 600, usercpu_time_millis_training: 2350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.981, kappa: 0.873, kb_relative_information_score: 864.5124, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9815, predictive_accuracy: 0.9815, prior_entropy: 0.4715, recall: 0.9815, relative_absolute_error: 0.3341, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.091, root_relative_squared_error: 0.4731, scimark_benchmark: 936.1714, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9045, kappa: 0.3037, kb_relative_information_score: 698.1865, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.8858, predictive_accuracy: 0.9252, prior_entropy: 0.4715, recall: 0.9252, relative_absolute_error: 0.4575, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.6485, scimark_benchmark: 936.7286, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9045, kappa: 0.3037, kb_relative_information_score: 698.1865, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.8858, predictive_accuracy: 0.9252, prior_entropy: 0.4715, recall: 0.9252, relative_absolute_error: 0.4575, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.6485, scimark_benchmark: 935.6052, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9045, kappa: 0.3037, kb_relative_information_score: 698.1865, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.8858, predictive_accuracy: 0.9252, prior_entropy: 0.4715, recall: 0.9252, relative_absolute_error: 0.4575, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.6485, scimark_benchmark: 940.0055, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9045, kappa: 0.3037, kb_relative_information_score: 698.1865, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.8858, predictive_accuracy: 0.9252, prior_entropy: 0.4715, recall: 0.9252, relative_absolute_error: 0.4575, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.6485, scimark_benchmark: 935.6052, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9464, kappa: 0.7105, kb_relative_information_score: 668.5659, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.949, predictive_accuracy: 0.9518, prior_entropy: 0.4715, recall: 0.9518, relative_absolute_error: 0.3346, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.7797, scimark_benchmark: 935.6052, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8834, kb_relative_information_score: 271.0023, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.8487, predictive_accuracy: 0.9212, prior_entropy: 0.4715, recall: 0.9212, relative_absolute_error: 0.5355, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1985, root_relative_squared_error: 1.0322, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9938, kappa: 0.9615, kb_relative_information_score: 1155.0274, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9938, predictive_accuracy: 0.9944, prior_entropy: 0.4715, recall: 0.9944, relative_absolute_error: 0.074, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0502, root_relative_squared_error: 0.2608, scimark_benchmark: 926.5859, usercpu_time_millis: 640, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9424, kappa: 0.677, kb_relative_information_score: 742.2032, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9431, predictive_accuracy: 0.9477, prior_entropy: 0.4715, recall: 0.9477, relative_absolute_error: 0.4391, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.128, root_relative_squared_error: 0.6656, scimark_benchmark: 931.7994, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9858, kappa: 0.9067, kb_relative_information_score: 1068.4593, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9871, predictive_accuracy: 0.9855, prior_entropy: 0.4715, recall: 0.9855, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.4194, scimark_benchmark: 926.4745, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9964, kappa: 0.9784, kb_relative_information_score: 1165.55, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.996, predictive_accuracy: 0.9968, prior_entropy: 0.4715, recall: 0.9968, relative_absolute_error: 0.0901, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0396, root_relative_squared_error: 0.206, scimark_benchmark: 934.7585, usercpu_time_millis: 1660, usercpu_time_millis_training: 1660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9956, kappa: 0.9677, kb_relative_information_score: 1192.7198, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.996, predictive_accuracy: 0.9952, prior_entropy: 0.4715, recall: 0.9952, relative_absolute_error: 0.0349, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0472, root_relative_squared_error: 0.2455, scimark_benchmark: 943.4741, usercpu_time_millis: 12630, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 12620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5102, f_measure: 0.8873, kappa: 0.0377, kb_relative_information_score: 291.547, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.928, predictive_accuracy: 0.9228, prior_entropy: 0.4715, recall: 0.9228, relative_absolute_error: 0.5246, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1964, root_relative_squared_error: 1.0216, scimark_benchmark: 946.8777, usercpu_time_millis: 8470, usercpu_time_millis_testing: 2100, usercpu_time_millis_training: 6370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.981, kappa: 0.8726, kb_relative_information_score: 990.5468, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9813, predictive_accuracy: 0.9807, prior_entropy: 0.4715, recall: 0.9807, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.4751, scimark_benchmark: 922.5036, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9829, kappa: 0.8875, kb_relative_information_score: 1027.682, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4715, recall: 0.9831, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4387, scimark_benchmark: 922.5036, usercpu_time_millis: 90, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9829, kappa: 0.8875, kb_relative_information_score: 1027.682, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4715, recall: 0.9831, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4387, scimark_benchmark: 945.0194, usercpu_time_millis: 90, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9829, kappa: 0.8875, kb_relative_information_score: 1027.682, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4715, recall: 0.9831, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4387, scimark_benchmark: 946.9304, usercpu_time_millis: 120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9829, kappa: 0.8875, kb_relative_information_score: 1027.682, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4715, recall: 0.9831, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4387, scimark_benchmark: 922.5036, usercpu_time_millis: 80, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9956, kappa: 0.9728, kb_relative_information_score: 1154.3766, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9952, predictive_accuracy: 0.996, prior_entropy: 0.4715, recall: 0.996, relative_absolute_error: 0.0685, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0418, root_relative_squared_error: 0.2172, scimark_benchmark: 946.9304, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9829, kappa: 0.8875, kb_relative_information_score: 1027.682, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4715, recall: 0.9831, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4387, scimark_benchmark: 952.4682, usercpu_time_millis: 90, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9923, kappa: 0.951, kb_relative_information_score: 1135.255, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9924, predictive_accuracy: 0.9928, prior_entropy: 0.4715, recall: 0.9928, relative_absolute_error: 0.0634, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.058, root_relative_squared_error: 0.3018, scimark_benchmark: 946.6409, usercpu_time_millis: 8020, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 7930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9915, kappa: 0.9451, kb_relative_information_score: 952.2638, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9912, predictive_accuracy: 0.992, prior_entropy: 0.4715, recall: 0.992, relative_absolute_error: 0.2514, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.3779, scimark_benchmark: 949.7766, usercpu_time_millis: 1500, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 1190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9858, kappa: 0.9067, kb_relative_information_score: 1068.4593, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9871, predictive_accuracy: 0.9855, prior_entropy: 0.4715, recall: 0.9855, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.4194, scimark_benchmark: 915.9028, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9829, kappa: 0.8875, kb_relative_information_score: 1027.682, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4715, recall: 0.9831, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4387, scimark_benchmark: 1318.6467, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9829, kappa: 0.8875, kb_relative_information_score: 1027.682, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4715, recall: 0.9831, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4387, scimark_benchmark: 1324.7884, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9858, kappa: 0.9067, kb_relative_information_score: 1068.4593, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9871, predictive_accuracy: 0.9855, prior_entropy: 0.4715, recall: 0.9855, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.4194, scimark_benchmark: 1324.9519, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9829, kappa: 0.8875, kb_relative_information_score: 1027.682, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4715, recall: 0.9831, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4387, scimark_benchmark: 1362.9924, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.981, kappa: 0.8726, kb_relative_information_score: 990.5468, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9813, predictive_accuracy: 0.9807, prior_entropy: 0.4715, recall: 0.9807, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.4751, scimark_benchmark: 1362.9924, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.981, kappa: 0.8726, kb_relative_information_score: 990.5468, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9813, predictive_accuracy: 0.9807, prior_entropy: 0.4715, recall: 0.9807, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.4751, scimark_benchmark: 1340.5125, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9829, kappa: 0.8875, kb_relative_information_score: 1027.682, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4715, recall: 0.9831, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4387, scimark_benchmark: 908.2231, usercpu_time_millis: 90, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9829, kappa: 0.8875, kb_relative_information_score: 1027.682, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4715, recall: 0.9831, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4387, scimark_benchmark: 930.5999, usercpu_time_millis: 90, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9829, kappa: 0.8875, kb_relative_information_score: 1027.682, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4715, recall: 0.9831, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4387, scimark_benchmark: 1338.5214, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9915, kappa: 0.9451, kb_relative_information_score: 952.2638, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9912, predictive_accuracy: 0.992, prior_entropy: 0.4715, recall: 0.992, relative_absolute_error: 0.2514, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.3779, scimark_benchmark: 1317.5857, usercpu_time_millis: 1040, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.981, kappa: 0.8726, kb_relative_information_score: 990.5468, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9813, predictive_accuracy: 0.9807, prior_entropy: 0.4715, recall: 0.9807, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.4751, scimark_benchmark: 1335.6555, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.981, kappa: 0.8726, kb_relative_information_score: 990.5468, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9813, predictive_accuracy: 0.9807, prior_entropy: 0.4715, recall: 0.9807, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.4751, scimark_benchmark: 1333.6736, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9829, kappa: 0.8875, kb_relative_information_score: 1027.682, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4715, recall: 0.9831, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4387, scimark_benchmark: 1393.8432, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9858, kappa: 0.9067, kb_relative_information_score: 1068.4593, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9871, predictive_accuracy: 0.9855, prior_entropy: 0.4715, recall: 0.9855, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.4194, scimark_benchmark: 1335.2357, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9829, kappa: 0.8875, kb_relative_information_score: 1027.682, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4715, recall: 0.9831, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4387, scimark_benchmark: 1337.1928, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9829, kappa: 0.8875, kb_relative_information_score: 1027.682, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4715, recall: 0.9831, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4387, scimark_benchmark: 1333.0982, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9829, kappa: 0.8875, kb_relative_information_score: 1027.682, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4715, recall: 0.9831, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4387, scimark_benchmark: 1317.5348, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9923, kappa: 0.951, kb_relative_information_score: 1135.255, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9924, predictive_accuracy: 0.9928, prior_entropy: 0.4715, recall: 0.9928, relative_absolute_error: 0.0634, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.058, root_relative_squared_error: 0.3018, scimark_benchmark: 1311.5017, usercpu_time_millis: 12690, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 12460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9915, kappa: 0.9451, kb_relative_information_score: 952.2638, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9912, predictive_accuracy: 0.992, prior_entropy: 0.4715, recall: 0.992, relative_absolute_error: 0.2514, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.3779, scimark_benchmark: 1336.5541, usercpu_time_millis: 930, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9917, kappa: 0.9469, kb_relative_information_score: 1133.2834, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9918, predictive_accuracy: 0.992, prior_entropy: 0.4715, recall: 0.992, relative_absolute_error: 0.0863, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0496, root_relative_squared_error: 0.258, scimark_benchmark: 1327.5201, usercpu_time_millis: 670, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9464, kappa: 0.7105, kb_relative_information_score: 772.9784, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.949, predictive_accuracy: 0.9518, prior_entropy: 0.4715, recall: 0.9518, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.6443, scimark_benchmark: 1331.8682, usercpu_time_millis: 33330, usercpu_time_millis_testing: 33330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.9629, kappa: 0.7526, kb_relative_information_score: 827.4737, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9638, predictive_accuracy: 0.963, prior_entropy: 0.4715, recall: 0.963, relative_absolute_error: 0.2648, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1321, root_relative_squared_error: 0.6872, scimark_benchmark: 1336.0954, usercpu_time_millis: 570, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9964, kappa: 0.9784, kb_relative_information_score: 1165.55, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.996, predictive_accuracy: 0.9968, prior_entropy: 0.4715, recall: 0.9968, relative_absolute_error: 0.0901, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0396, root_relative_squared_error: 0.206, scimark_benchmark: 1322.3407, usercpu_time_millis: 1310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5102, f_measure: 0.8873, kappa: 0.0377, kb_relative_information_score: 291.547, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.928, predictive_accuracy: 0.9228, prior_entropy: 0.4715, recall: 0.9228, relative_absolute_error: 0.5246, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1964, root_relative_squared_error: 1.0216, scimark_benchmark: 1320.1171, usercpu_time_millis: 9380, usercpu_time_millis_testing: 1860, usercpu_time_millis_training: 7520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.981, kappa: 0.8726, kb_relative_information_score: 990.5468, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9813, predictive_accuracy: 0.9807, prior_entropy: 0.4715, recall: 0.9807, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.4751, scimark_benchmark: 1343.7262, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9956, kappa: 0.9728, kb_relative_information_score: 1154.3766, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9952, predictive_accuracy: 0.996, prior_entropy: 0.4715, recall: 0.996, relative_absolute_error: 0.0685, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0418, root_relative_squared_error: 0.2172, scimark_benchmark: 1333.9912, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9858, kappa: 0.9067, kb_relative_information_score: 1068.4593, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9871, predictive_accuracy: 0.9855, prior_entropy: 0.4715, recall: 0.9855, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.4194, scimark_benchmark: 1311.7006, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9829, kappa: 0.8875, kb_relative_information_score: 1027.682, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4715, recall: 0.9831, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4387, scimark_benchmark: 1360.6367, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9915, kappa: 0.9451, kb_relative_information_score: 952.2638, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9912, predictive_accuracy: 0.992, prior_entropy: 0.4715, recall: 0.992, relative_absolute_error: 0.2514, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.3779, scimark_benchmark: 1348.1311, usercpu_time_millis: 840, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5102, f_measure: 0.8873, kappa: 0.0377, kb_relative_information_score: 291.547, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.928, predictive_accuracy: 0.9228, prior_entropy: 0.4715, recall: 0.9228, relative_absolute_error: 0.5246, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1964, root_relative_squared_error: 1.0216, scimark_benchmark: 1352.06, usercpu_time_millis: 10730, usercpu_time_millis_testing: 1680, usercpu_time_millis_training: 9050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9923, kappa: 0.951, kb_relative_information_score: 1135.255, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9924, predictive_accuracy: 0.9928, prior_entropy: 0.4715, recall: 0.9928, relative_absolute_error: 0.0634, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.058, root_relative_squared_error: 0.3018, scimark_benchmark: 1354.3488, usercpu_time_millis: 13330, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 13090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9829, kappa: 0.8875, kb_relative_information_score: 1027.682, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4715, recall: 0.9831, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4387, scimark_benchmark: 1347.993, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9915, kappa: 0.9451, kb_relative_information_score: 952.2638, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9912, predictive_accuracy: 0.992, prior_entropy: 0.4715, recall: 0.992, relative_absolute_error: 0.2514, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.3779, scimark_benchmark: 942.9708, usercpu_time_millis: 1170, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 1010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.981, kappa: 0.8726, kb_relative_information_score: 990.5468, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9813, predictive_accuracy: 0.9807, prior_entropy: 0.4715, recall: 0.9807, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.4751, scimark_benchmark: 935.5075, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9829, kappa: 0.8875, kb_relative_information_score: 1027.682, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4715, recall: 0.9831, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4387, scimark_benchmark: 918.0213, usercpu_time_millis: 140, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9829, kappa: 0.8875, kb_relative_information_score: 1027.682, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4715, recall: 0.9831, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4387, scimark_benchmark: 1288.1375, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9829, kappa: 0.8875, kb_relative_information_score: 1027.682, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4715, recall: 0.9831, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4387, scimark_benchmark: 1288.1375, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9829, kappa: 0.8875, kb_relative_information_score: 1027.682, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4715, recall: 0.9831, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4387, scimark_benchmark: 1347.917, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9829, kappa: 0.8875, kb_relative_information_score: 1027.682, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4715, recall: 0.9831, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4387, scimark_benchmark: 1345.7204, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5102, f_measure: 0.8873, kappa: 0.0377, kb_relative_information_score: 291.547, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.928, predictive_accuracy: 0.9228, prior_entropy: 0.4715, recall: 0.9228, relative_absolute_error: 0.5246, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1964, root_relative_squared_error: 1.0216, scimark_benchmark: 926.6704, usercpu_time_millis: 12360, usercpu_time_millis_testing: 2080, usercpu_time_millis_training: 10280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9829, kappa: 0.8875, kb_relative_information_score: 1027.682, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4715, recall: 0.9831, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4387, scimark_benchmark: 933.1165, usercpu_time_millis: 160, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9858, kappa: 0.9067, kb_relative_information_score: 1068.4593, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9871, predictive_accuracy: 0.9855, prior_entropy: 0.4715, recall: 0.9855, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.4194, scimark_benchmark: 1342.6911, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9829, kappa: 0.8875, kb_relative_information_score: 1027.682, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4715, recall: 0.9831, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4387, scimark_benchmark: 1380.2233, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.981, kappa: 0.8726, kb_relative_information_score: 990.5468, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9813, predictive_accuracy: 0.9807, prior_entropy: 0.4715, recall: 0.9807, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.4751, scimark_benchmark: 1343.2125, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9829, kappa: 0.8875, kb_relative_information_score: 1027.682, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4715, recall: 0.9831, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4387, scimark_benchmark: 1343.4596, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9858, kappa: 0.9067, kb_relative_information_score: 1068.4593, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9871, predictive_accuracy: 0.9855, prior_entropy: 0.4715, recall: 0.9855, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.4194, scimark_benchmark: 1339.8573, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.918, kappa: 0.4391, kb_relative_information_score: 531.1213, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9257, predictive_accuracy: 0.9389, prior_entropy: 0.4715, recall: 0.9389, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.909, scimark_benchmark: 1339.8573, usercpu_time_millis: 930, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9932, kappa: 0.9563, kb_relative_information_score: 1161.3685, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9928, predictive_accuracy: 0.9936, prior_entropy: 0.4715, recall: 0.9936, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0504, root_relative_squared_error: 0.2619, scimark_benchmark: 1327.2954, usercpu_time_millis: 950, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9964, kappa: 0.9784, kb_relative_information_score: 1165.55, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.996, predictive_accuracy: 0.9968, prior_entropy: 0.4715, recall: 0.9968, relative_absolute_error: 0.0901, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0396, root_relative_squared_error: 0.206, scimark_benchmark: 1320.9026, usercpu_time_millis: 1130, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9858, kappa: 0.9067, kb_relative_information_score: 1068.4593, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9871, predictive_accuracy: 0.9855, prior_entropy: 0.4715, recall: 0.9855, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.4194, scimark_benchmark: 1343.6648, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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