Task
Supervised Classification on glass

Supervised Classification on glass

Task 270 Supervised Classification glass 325 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.6075, kappa: 0.4799, kb_relative_information_score: 32.1202, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6277, predictive_accuracy: 0.6143, prior_entropy: 2.2315, recall: 0.6143, relative_absolute_error: 0.6006, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9232, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.6649, kappa: 0.5661, kb_relative_information_score: 35.5612, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6484, predictive_accuracy: 0.6857, prior_entropy: 2.2315, recall: 0.6857, relative_absolute_error: 0.5596, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.8222, scimark_benchmark: 851.2074, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.5034, kappa: 0.3381, kb_relative_information_score: 26.38, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.5, predictive_accuracy: 0.5429, prior_entropy: 2.2315, recall: 0.5429, relative_absolute_error: 0.6142, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3614, root_relative_squared_error: 1.1082, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.7486, kappa: 0.654, kb_relative_information_score: 43.4149, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7583, predictive_accuracy: 0.7429, prior_entropy: 2.2315, recall: 0.7429, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.7714, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7202, kappa: 0.6111, kb_relative_information_score: 41.4948, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7379, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.7951, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7202, kappa: 0.6111, kb_relative_information_score: 41.4948, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7379, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.7951, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7202, kappa: 0.6111, kb_relative_information_score: 41.4948, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7379, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.7951, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.6618, kappa: 0.5821, kb_relative_information_score: 35.4368, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6696, predictive_accuracy: 0.7, prior_entropy: 2.2315, recall: 0.7, relative_absolute_error: 0.6275, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.8017, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7202, kappa: 0.6111, kb_relative_information_score: 41.4948, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7379, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.7951, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.7303, kappa: 0.6263, kb_relative_information_score: 42.6216, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7475, predictive_accuracy: 0.7286, prior_entropy: 2.2315, recall: 0.7286, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.7202, scimark_benchmark: 931.771, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.5034, kappa: 0.3381, kb_relative_information_score: 26.38, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.5, predictive_accuracy: 0.5429, prior_entropy: 2.2315, recall: 0.5429, relative_absolute_error: 0.6142, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3614, root_relative_squared_error: 1.1082, scimark_benchmark: 937.5117, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.7486, kappa: 0.654, kb_relative_information_score: 43.4149, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7583, predictive_accuracy: 0.7429, prior_entropy: 2.2315, recall: 0.7429, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.7714, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.7486, kappa: 0.654, kb_relative_information_score: 43.4149, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7583, predictive_accuracy: 0.7429, prior_entropy: 2.2315, recall: 0.7429, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.7714, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7202, kappa: 0.6111, kb_relative_information_score: 41.4948, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7379, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.7951, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7202, kappa: 0.6111, kb_relative_information_score: 41.4948, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7379, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.7951, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.6371, kappa: 0.5163, kb_relative_information_score: 30.6706, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6609, predictive_accuracy: 0.6429, prior_entropy: 2.2315, recall: 0.6429, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.8626, scimark_benchmark: 943.1009, usercpu_time_millis: 520, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.7303, kappa: 0.6263, kb_relative_information_score: 42.6216, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7475, predictive_accuracy: 0.7286, prior_entropy: 2.2315, recall: 0.7286, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.7202, scimark_benchmark: 943.1009, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.6075, kappa: 0.4799, kb_relative_information_score: 32.1202, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6277, predictive_accuracy: 0.6143, prior_entropy: 2.2315, recall: 0.6143, relative_absolute_error: 0.6006, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9232, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.6649, kappa: 0.5661, kb_relative_information_score: 35.5612, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6484, predictive_accuracy: 0.6857, prior_entropy: 2.2315, recall: 0.6857, relative_absolute_error: 0.5596, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.8222, scimark_benchmark: 936.2574, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.5034, kappa: 0.3381, kb_relative_information_score: 26.38, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.5, predictive_accuracy: 0.5429, prior_entropy: 2.2315, recall: 0.5429, relative_absolute_error: 0.6142, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3614, root_relative_squared_error: 1.1082, scimark_benchmark: 927.2882, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7202, kappa: 0.6111, kb_relative_information_score: 41.4948, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7379, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.7951, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.6618, kappa: 0.5821, kb_relative_information_score: 35.4368, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6696, predictive_accuracy: 0.7, prior_entropy: 2.2315, recall: 0.7, relative_absolute_error: 0.6275, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.8017, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7202, kappa: 0.6111, kb_relative_information_score: 41.4948, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7379, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.7951, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.7303, kappa: 0.6263, kb_relative_information_score: 42.6216, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7475, predictive_accuracy: 0.7286, prior_entropy: 2.2315, recall: 0.7286, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.7202, scimark_benchmark: 936.9595, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.74, kappa: 0.6483, kb_relative_information_score: 40.201, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7463, predictive_accuracy: 0.7429, prior_entropy: 2.2315, recall: 0.7429, relative_absolute_error: 0.5755, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.725, scimark_benchmark: 938.4601, usercpu_time_millis: 1100, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.7241, kappa: 0.6264, kb_relative_information_score: 40.6081, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7375, predictive_accuracy: 0.7286, prior_entropy: 2.2315, recall: 0.7286, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.7192, scimark_benchmark: 926.5462, usercpu_time_millis: 520, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.7142, kappa: 0.6108, kb_relative_information_score: 40.4204, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7256, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.7309, scimark_benchmark: 935.0213, usercpu_time_millis: 260, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.6684, kappa: 0.5524, kb_relative_information_score: 38.8334, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6739, predictive_accuracy: 0.6714, prior_entropy: 2.2315, recall: 0.6714, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.7552, scimark_benchmark: 932.4744, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.7145, kappa: 0.614, kb_relative_information_score: 42.0179, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7267, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.5476, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.7314, scimark_benchmark: 889.4922, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2012, kb_relative_information_score: 0.5596, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.138, predictive_accuracy: 0.3714, prior_entropy: 2.2315, recall: 0.3714, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3267, root_relative_squared_error: 1.0018, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.2496, kappa: 0.2256, kb_relative_information_score: 20.117, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.1788, predictive_accuracy: 0.4143, prior_entropy: 2.2315, recall: 0.4143, relative_absolute_error: 0.8644, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.9363, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.2496, kappa: 0.2256, kb_relative_information_score: 20.117, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.1788, predictive_accuracy: 0.4143, prior_entropy: 2.2315, recall: 0.4143, relative_absolute_error: 0.8644, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.9363, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.2496, kappa: 0.2256, kb_relative_information_score: 20.117, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.1788, predictive_accuracy: 0.4143, prior_entropy: 2.2315, recall: 0.4143, relative_absolute_error: 0.8644, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.9363, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.2496, kappa: 0.2256, kb_relative_information_score: 20.117, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.1788, predictive_accuracy: 0.4143, prior_entropy: 2.2315, recall: 0.4143, relative_absolute_error: 0.8644, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.9363, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.2496, kappa: 0.2256, kb_relative_information_score: 20.117, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.1788, predictive_accuracy: 0.4143, prior_entropy: 2.2315, recall: 0.4143, relative_absolute_error: 0.8644, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.9363, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2012, kb_relative_information_score: 11.0318, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.138, predictive_accuracy: 0.3714, prior_entropy: 2.2315, recall: 0.3714, relative_absolute_error: 0.8445, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.4238, root_relative_squared_error: 1.2995, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.7614, kappa: 0.6748, kb_relative_information_score: 42.6102, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7886, predictive_accuracy: 0.7571, prior_entropy: 2.2315, recall: 0.7571, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.7473, scimark_benchmark: 926.5859, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7613, f_measure: 0.4195, kappa: 0.2351, kb_relative_information_score: 11.3057, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.388, predictive_accuracy: 0.4714, prior_entropy: 2.2315, recall: 0.4714, relative_absolute_error: 0.9067, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.9447, scimark_benchmark: 931.7994,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.6618, kappa: 0.5821, kb_relative_information_score: 35.4368, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6696, predictive_accuracy: 0.7, prior_entropy: 2.2315, recall: 0.7, relative_absolute_error: 0.6275, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.8017, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.5034, kappa: 0.3381, kb_relative_information_score: 26.38, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.5, predictive_accuracy: 0.5429, prior_entropy: 2.2315, recall: 0.5429, relative_absolute_error: 0.6142, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3614, root_relative_squared_error: 1.1082, scimark_benchmark: 1350.7721, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.7486, kappa: 0.654, kb_relative_information_score: 43.4149, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7583, predictive_accuracy: 0.7429, prior_entropy: 2.2315, recall: 0.7429, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.7714, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7202, kappa: 0.6111, kb_relative_information_score: 41.4948, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7379, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.7951, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7202, kappa: 0.6111, kb_relative_information_score: 41.4948, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7379, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.7951, scimark_benchmark: 1337.1928,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7202, kappa: 0.6111, kb_relative_information_score: 41.4948, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7379, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.7951, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7202, kappa: 0.6111, kb_relative_information_score: 41.4948, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7379, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.7951, scimark_benchmark: 1317.6232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.6371, kappa: 0.5163, kb_relative_information_score: 30.6706, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6609, predictive_accuracy: 0.6429, prior_entropy: 2.2315, recall: 0.6429, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.8626, scimark_benchmark: 1350.8432, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.6649, kappa: 0.5661, kb_relative_information_score: 35.5612, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6484, predictive_accuracy: 0.6857, prior_entropy: 2.2315, recall: 0.6857, relative_absolute_error: 0.5596, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.8222, scimark_benchmark: 1345.7919, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.5034, kappa: 0.3381, kb_relative_information_score: 26.38, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.5, predictive_accuracy: 0.5429, prior_entropy: 2.2315, recall: 0.5429, relative_absolute_error: 0.6142, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3614, root_relative_squared_error: 1.1082, scimark_benchmark: 1345.7919, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7202, kappa: 0.6111, kb_relative_information_score: 41.4948, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7379, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.7951, scimark_benchmark: 1325.6322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.7303, kappa: 0.6263, kb_relative_information_score: 42.6216, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7475, predictive_accuracy: 0.7286, prior_entropy: 2.2315, recall: 0.7286, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.7202, scimark_benchmark: 1344.7524, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.5034, kappa: 0.3381, kb_relative_information_score: 26.38, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.5, predictive_accuracy: 0.5429, prior_entropy: 2.2315, recall: 0.5429, relative_absolute_error: 0.6142, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3614, root_relative_squared_error: 1.1082, scimark_benchmark: 1322.7257, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.7486, kappa: 0.654, kb_relative_information_score: 43.4149, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7583, predictive_accuracy: 0.7429, prior_entropy: 2.2315, recall: 0.7429, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.7714, scimark_benchmark: 1373.7859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7202, kappa: 0.6111, kb_relative_information_score: 41.4948, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7379, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.7951, scimark_benchmark: 1325.8773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.7303, kappa: 0.6263, kb_relative_information_score: 42.6216, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7475, predictive_accuracy: 0.7286, prior_entropy: 2.2315, recall: 0.7286, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.7202, scimark_benchmark: 1337.3179, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.6924, kappa: 0.5687, kb_relative_information_score: 40.2195, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7197, predictive_accuracy: 0.6857, prior_entropy: 2.2315, recall: 0.6857, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.8039, scimark_benchmark: 1360.8502, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.5034, kappa: 0.3381, kb_relative_information_score: 26.38, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.5, predictive_accuracy: 0.5429, prior_entropy: 2.2315, recall: 0.5429, relative_absolute_error: 0.6142, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3614, root_relative_squared_error: 1.1082, scimark_benchmark: 1329.8008, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7202, kappa: 0.6111, kb_relative_information_score: 41.4948, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7379, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.7951, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7202, kappa: 0.6111, kb_relative_information_score: 41.4948, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7379, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.7951, scimark_benchmark: 1297.2338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.7303, kappa: 0.6263, kb_relative_information_score: 42.6216, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7475, predictive_accuracy: 0.7286, prior_entropy: 2.2315, recall: 0.7286, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.7202, scimark_benchmark: 1322.7257, usercpu_time_millis: 50, usercpu_time_millis_training: 50,

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