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OpenML
OpenML
Supervised Classification on credit-approval

Supervised Classification on credit-approval

Task 29 Supervised Classification credit-approval 21238 runs submitted
0 likes downloaded by 3 people , 12 total downloads 0 issues
Visibility: Public
  • at2 basic ComplexWorkflows mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_70 study_73 study_98 study_99 under100k under1m
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21238 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8567, kappa: 0.7104, kb_relative_information_score: 485.8472, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.2956, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.714, scimark_benchmark: 941.8057, usercpu_time_millis: 1670, usercpu_time_millis_training: 1670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8567, kappa: 0.7104, kb_relative_information_score: 485.8472, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.2956, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.714, scimark_benchmark: 917.1386, usercpu_time_millis: 1680, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8374, kappa: 0.6703, kb_relative_information_score: 453.7682, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8374, predictive_accuracy: 0.8377, prior_entropy: 0.9913, recall: 0.8377, relative_absolute_error: 0.3458, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.717, scimark_benchmark: 915.2795, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8374, kappa: 0.6703, kb_relative_information_score: 453.7682, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8374, predictive_accuracy: 0.8377, prior_entropy: 0.9913, recall: 0.8377, relative_absolute_error: 0.3458, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.717, scimark_benchmark: 915.2795, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8604, kappa: 0.7167, kb_relative_information_score: 456.72, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8611, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.3505, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.6602, scimark_benchmark: 915.2795, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8604, kappa: 0.7167, kb_relative_information_score: 456.72, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8611, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.3505, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.6602, scimark_benchmark: 945.6434, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 915.2795, usercpu_time_millis: 340, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 936.7115, usercpu_time_millis: 320, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8525, kappa: 0.7059, kb_relative_information_score: 482.3691, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8634, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.2993, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7737, scimark_benchmark: 931.3398, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, build_cpu_time: 1.8394, build_memory: 125593507.2, f_measure: 0.8451, kappa: 0.687, kb_relative_information_score: 416.5883, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8456, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.6879, scimark_benchmark: 864.1117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, build_cpu_time: 1.7835, build_memory: 872067037.6, f_measure: 0.8451, kappa: 0.687, kb_relative_information_score: 416.5883, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8456, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.6879, scimark_benchmark: 940.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, build_cpu_time: 1.8885, build_memory: 380936592, f_measure: 0.8451, kappa: 0.687, kb_relative_information_score: 416.5883, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8456, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.6879, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, build_cpu_time: 2.2253, build_memory: 871372334.4, f_measure: 0.8451, kappa: 0.687, kb_relative_information_score: 416.5883, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8456, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.6879, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, build_cpu_time: 2.0373, build_memory: 844032267.2, f_measure: 0.8451, kappa: 0.687, kb_relative_information_score: 416.5883, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8456, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.6879, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, build_cpu_time: 2.1277, build_memory: 1877998060.8, f_measure: 0.8451, kappa: 0.687, kb_relative_information_score: 416.5883, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8456, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.6879, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, build_cpu_time: 1.8714, build_memory: 899953467.2, f_measure: 0.8451, kappa: 0.687, kb_relative_information_score: 415.8353, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8456, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.4112, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.342, root_relative_squared_error: 0.6883, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, build_cpu_time: 1.6905, build_memory: 1030287083.2, f_measure: 0.8451, kappa: 0.687, kb_relative_information_score: 415.8353, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8456, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.4112, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.342, root_relative_squared_error: 0.6883, scimark_benchmark: 935.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, build_cpu_time: 1.3882, build_memory: 519757565.6, f_measure: 0.8394, kappa: 0.6755, kb_relative_information_score: 415.8951, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.84, predictive_accuracy: 0.8391, prior_entropy: 0.9913, recall: 0.8391, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.6859, scimark_benchmark: 940.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, build_cpu_time: 1.2489, build_memory: 528799603.2, f_measure: 0.8394, kappa: 0.6755, kb_relative_information_score: 415.8951, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.84, predictive_accuracy: 0.8391, prior_entropy: 0.9913, recall: 0.8391, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.6859, scimark_benchmark: 918.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, build_cpu_time: 0.0528, build_memory: 1099796137.6, f_measure: 0.824, kappa: 0.643, kb_relative_information_score: 427.4386, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8245, predictive_accuracy: 0.8246, prior_entropy: 0.9913, recall: 0.8246, relative_absolute_error: 0.3871, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.7418, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, build_cpu_time: 0.1138, build_memory: 240987553.6, f_measure: 0.8261, kappa: 0.6479, kb_relative_information_score: 433.4973, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8261, predictive_accuracy: 0.8261, prior_entropy: 0.9913, recall: 0.8261, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7584, scimark_benchmark: 918.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, build_cpu_time: 0.1175, build_memory: 144670653.6, f_measure: 0.8261, kappa: 0.6479, kb_relative_information_score: 433.4973, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8261, predictive_accuracy: 0.8261, prior_entropy: 0.9913, recall: 0.8261, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7584, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, build_cpu_time: 0.1894, build_memory: 138882068, f_measure: 0.829, kappa: 0.654, kb_relative_information_score: 441.416, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8291, predictive_accuracy: 0.829, prior_entropy: 0.9913, recall: 0.829, relative_absolute_error: 0.3627, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7662, scimark_benchmark: 935.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, build_cpu_time: 0.1604, build_memory: 158062721.6, f_measure: 0.829, kappa: 0.654, kb_relative_information_score: 441.416, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8291, predictive_accuracy: 0.829, prior_entropy: 0.9913, recall: 0.829, relative_absolute_error: 0.3627, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7662, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, build_cpu_time: 0.2156, build_memory: 156087856, f_measure: 0.8335, kappa: 0.6631, kb_relative_information_score: 444.242, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8337, predictive_accuracy: 0.8333, prior_entropy: 0.9913, recall: 0.8333, relative_absolute_error: 0.3583, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.7643, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, build_cpu_time: 0.253, build_memory: 1246353909.6, f_measure: 0.8335, kappa: 0.6631, kb_relative_information_score: 444.242, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8337, predictive_accuracy: 0.8333, prior_entropy: 0.9913, recall: 0.8333, relative_absolute_error: 0.3583, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.7643, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, build_cpu_time: 0.2151, build_memory: 318781311.2, f_measure: 0.832, kappa: 0.6603, kb_relative_information_score: 446.8151, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8323, predictive_accuracy: 0.8319, prior_entropy: 0.9913, recall: 0.8319, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7623, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, build_cpu_time: 0.3536, build_memory: 100690152, f_measure: 0.832, kappa: 0.6603, kb_relative_information_score: 446.8151, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8323, predictive_accuracy: 0.8319, prior_entropy: 0.9913, recall: 0.8319, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7623, scimark_benchmark: 941.8181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, build_cpu_time: 0.5011, build_memory: 1021814697.6, f_measure: 0.8651, kappa: 0.7267, kb_relative_information_score: 500.017, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8651, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.274, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.7369, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, build_cpu_time: 0.4081, build_memory: 409964400.8, f_measure: 0.8651, kappa: 0.7267, kb_relative_information_score: 500.017, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8651, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.274, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.7369, scimark_benchmark: 926.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, build_cpu_time: 0.2434, build_memory: 980372019.2, f_measure: 0.8636, kappa: 0.7237, kb_relative_information_score: 499.299, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8636, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.2747, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7376, scimark_benchmark: 925.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, build_cpu_time: 0.2814, build_memory: 2028887753.6, f_measure: 0.8636, kappa: 0.7237, kb_relative_information_score: 499.299, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8636, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.2747, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7376, scimark_benchmark: 934.6076,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, build_cpu_time: 35.315, build_memory: 937869669.6, f_measure: 0.8491, kappa: 0.6943, kb_relative_information_score: 467.7506, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8491, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.3248, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.6988, scimark_benchmark: 940.3132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, build_cpu_time: 66.7653, build_memory: 796868899.2, f_measure: 0.8607, kappa: 0.7178, kb_relative_information_score: 485.3564, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8607, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.2984, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.7169, scimark_benchmark: 939.8137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, build_cpu_time: 69.3428, build_memory: 725081229.6, f_measure: 0.8607, kappa: 0.7178, kb_relative_information_score: 485.3564, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8607, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.2984, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.7169, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, build_cpu_time: 143.4968, build_memory: 78330218.4, f_measure: 0.8462, kappa: 0.6884, kb_relative_information_score: 477.008, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8462, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.3072, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.748, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, build_cpu_time: 134.3022, build_memory: 720429877.6, f_measure: 0.8462, kappa: 0.6884, kb_relative_information_score: 477.008, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8462, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.3072, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.748, scimark_benchmark: 942.7834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, build_cpu_time: 279.0017, build_memory: 38807770.4, f_measure: 0.8433, kappa: 0.6825, kb_relative_information_score: 474.3147, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8433, predictive_accuracy: 0.8435, prior_entropy: 0.9913, recall: 0.8435, relative_absolute_error: 0.31, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7677, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, build_cpu_time: 256.3359, build_memory: 47125204, f_measure: 0.8433, kappa: 0.6825, kb_relative_information_score: 474.3147, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8433, predictive_accuracy: 0.8435, prior_entropy: 0.9913, recall: 0.8435, relative_absolute_error: 0.31, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7677, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, build_cpu_time: 156.3217, build_memory: 1227647991.2, f_measure: 0.858, kappa: 0.7126, kb_relative_information_score: 490.6561, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8581, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7575, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, build_cpu_time: 174.5885, build_memory: 1088078268.8, f_measure: 0.858, kappa: 0.7126, kb_relative_information_score: 490.6561, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8581, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7575, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, build_cpu_time: 79.9524, build_memory: 997456040.8, f_measure: 0.8579, kappa: 0.7121, kb_relative_information_score: 491.8564, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8578, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.2855, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7515, scimark_benchmark: 936.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, build_cpu_time: 86.9069, build_memory: 1760298134.4, f_measure: 0.8579, kappa: 0.7121, kb_relative_information_score: 491.8564, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8578, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.2855, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7515, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, build_cpu_time: 38.9248, build_memory: 2020666720, f_measure: 0.8608, kappa: 0.718, kb_relative_information_score: 494.2211, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8607, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.2822, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.748, scimark_benchmark: 932.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, build_cpu_time: 18.9734, build_memory: 158944208.8, f_measure: 0.8534, kappa: 0.703, kb_relative_information_score: 481.2367, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8534, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.3009, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7521, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, build_cpu_time: 18.9153, build_memory: 1501754132, f_measure: 0.8534, kappa: 0.703, kb_relative_information_score: 481.2367, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8534, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.3009, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7521, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, build_cpu_time: 8.132, build_memory: 1087164743.2, f_measure: 0.8463, kappa: 0.6888, kb_relative_information_score: 478.4257, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8463, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.3048, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7456, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, build_cpu_time: 8.3052, build_memory: 121370132, f_measure: 0.8463, kappa: 0.6888, kb_relative_information_score: 478.4257, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8463, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.3048, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7456, scimark_benchmark: 920.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, build_cpu_time: 1.5072, build_memory: 709097667.2, f_measure: 0.8507, kappa: 0.6977, kb_relative_information_score: 457.5116, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8507, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.3428, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.7017, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, build_cpu_time: 1.471, build_memory: 66415412.8, f_measure: 0.8507, kappa: 0.6977, kb_relative_information_score: 457.5116, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8507, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.3428, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.7017, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, build_cpu_time: 5.9708, build_memory: 1993517119.2, f_measure: 0.8536, kappa: 0.7037, kb_relative_information_score: 473.8019, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8537, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.3142, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.7254, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, build_cpu_time: 5.0076, build_memory: 401669492.8, f_measure: 0.8536, kappa: 0.7037, kb_relative_information_score: 473.8019, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8537, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.3142, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.7254, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, build_cpu_time: 10.9355, build_memory: 1384256634.4, f_measure: 0.858, kappa: 0.7125, kb_relative_information_score: 486.9702, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.858, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7312, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, build_cpu_time: 11.185, build_memory: 1359795432, f_measure: 0.858, kappa: 0.7125, kb_relative_information_score: 486.9702, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.858, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7312, scimark_benchmark: 919.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, build_cpu_time: 22.6873, build_memory: 913812405.6, f_measure: 0.855, kappa: 0.7062, kb_relative_information_score: 489.1806, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8549, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2892, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7455, scimark_benchmark: 922.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, build_cpu_time: 0.3515, build_memory: 202467496, f_measure: 0.8637, kappa: 0.724, kb_relative_information_score: 482.2155, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8637, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3056, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.685, scimark_benchmark: 914.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, build_cpu_time: 0.3358, build_memory: 811543379.2, f_measure: 0.8637, kappa: 0.724, kb_relative_information_score: 482.2155, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8637, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3056, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.685, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, build_cpu_time: 0.3317, build_memory: 665252130.4, f_measure: 0.8637, kappa: 0.724, kb_relative_information_score: 482.2155, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8637, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3056, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.685, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, build_cpu_time: 0.429, build_memory: 810197287.2, f_measure: 0.8637, kappa: 0.724, kb_relative_information_score: 482.2155, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8637, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3056, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.685, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, build_cpu_time: 0.3075, build_memory: 1155005176, f_measure: 0.8651, kappa: 0.7269, kb_relative_information_score: 480.9873, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8651, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6864, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, build_cpu_time: 0.4046, build_memory: 981684836.8, f_measure: 0.8651, kappa: 0.7269, kb_relative_information_score: 480.9873, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8651, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6864, scimark_benchmark: 923.9118,

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