OpenML
Supervised Classification on analcatdata_authorship

Supervised Classification on analcatdata_authorship

Task 4538 Supervised Classification analcatdata_authorship 219 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.9315, kappa: 0.8541, kb_relative_information_score: 6977.9605, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.9315, predictive_accuracy: 0.9316, prior_entropy: 0.9561, recall: 0.9316, relative_absolute_error: 0.174, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.5192, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9754, kappa: 0.9475, kb_relative_information_score: 7540.6531, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.9754, predictive_accuracy: 0.9754, prior_entropy: 0.9561, recall: 0.9754, relative_absolute_error: 0.115, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.2969, scimark_benchmark: 972.587, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9685, kappa: 0.9328, kb_relative_information_score: 7592.1129, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.9685, predictive_accuracy: 0.9685, prior_entropy: 0.9561, recall: 0.9685, relative_absolute_error: 0.1035, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.155, root_relative_squared_error: 0.3199, scimark_benchmark: 934.3687, usercpu_time_millis: 740, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4784, kb_relative_information_score: 1479.2571, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.3882, predictive_accuracy: 0.6231, prior_entropy: 0.9561, recall: 0.6231, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.6139, root_relative_squared_error: 1.2669, scimark_benchmark: 944.1067, usercpu_time_millis: 2370, usercpu_time_millis_testing: 1100, usercpu_time_millis_training: 1270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4784, kb_relative_information_score: 1479.2571, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.3882, predictive_accuracy: 0.6231, prior_entropy: 0.9561, recall: 0.6231, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.6139, root_relative_squared_error: 1.2669, scimark_benchmark: 904.0772, usercpu_time_millis: 2520, usercpu_time_millis_testing: 1130, usercpu_time_millis_training: 1390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.9957, kb_relative_information_score: 8364.5506, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.9561, recall: 0.998, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0389, root_relative_squared_error: 0.0803, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9672, kappa: 0.93, kb_relative_information_score: 7192.538, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.9673, predictive_accuracy: 0.9673, prior_entropy: 0.9561, recall: 0.9673, relative_absolute_error: 0.1632, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3408, scimark_benchmark: 938.191, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9924, kb_relative_information_score: 8210.109, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9561, recall: 0.9964, relative_absolute_error: 0.0292, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0512, root_relative_squared_error: 0.1057, scimark_benchmark: 934.3687, usercpu_time_millis: 6660, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 6220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9737, kappa: 0.9439, kb_relative_information_score: 7867.7588, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.9737, predictive_accuracy: 0.9737, prior_entropy: 0.9561, recall: 0.9737, relative_absolute_error: 0.0649, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.3068, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4784, kb_relative_information_score: 1479.2571, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.3882, predictive_accuracy: 0.6231, prior_entropy: 0.9561, recall: 0.6231, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.6139, root_relative_squared_error: 1.2669, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4784, kb_relative_information_score: 1479.2571, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.3882, predictive_accuracy: 0.6231, prior_entropy: 0.9561, recall: 0.6231, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.6139, root_relative_squared_error: 1.2669, scimark_benchmark: 932.438, usercpu_time_millis: 2100, usercpu_time_millis_testing: 950, usercpu_time_millis_training: 1150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9946, kappa: 0.9886, kb_relative_information_score: 8301.8357, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.9947, predictive_accuracy: 0.9946, prior_entropy: 0.9561, recall: 0.9946, relative_absolute_error: 0.0126, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.1398, scimark_benchmark: 932.438, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.995, kappa: 0.9894, kb_relative_information_score: 7145.9885, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9561, recall: 0.995, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.271, scimark_benchmark: 947.1781, usercpu_time_millis: 280, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.9315, kappa: 0.8541, kb_relative_information_score: 6977.9605, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.9315, predictive_accuracy: 0.9316, prior_entropy: 0.9561, recall: 0.9316, relative_absolute_error: 0.174, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.5192, scimark_benchmark: 942.2392, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9754, kappa: 0.9475, kb_relative_information_score: 7540.6531, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.9754, predictive_accuracy: 0.9754, prior_entropy: 0.9561, recall: 0.9754, relative_absolute_error: 0.115, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.2969, scimark_benchmark: 908.9569, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9685, kappa: 0.9328, kb_relative_information_score: 7592.1129, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.9685, predictive_accuracy: 0.9685, prior_entropy: 0.9561, recall: 0.9685, relative_absolute_error: 0.1035, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.155, root_relative_squared_error: 0.3199, scimark_benchmark: 938.1282, usercpu_time_millis: 780, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4784, kb_relative_information_score: 1479.2571, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.3882, predictive_accuracy: 0.6231, prior_entropy: 0.9561, recall: 0.6231, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.6139, root_relative_squared_error: 1.2669, scimark_benchmark: 932.438, usercpu_time_millis: 2280, usercpu_time_millis_testing: 1040, usercpu_time_millis_training: 1240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4784, kb_relative_information_score: 1479.2571, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.3882, predictive_accuracy: 0.6231, prior_entropy: 0.9561, recall: 0.6231, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.6139, root_relative_squared_error: 1.2669, scimark_benchmark: 859.5223, usercpu_time_millis: 2610, usercpu_time_millis_testing: 1190, usercpu_time_millis_training: 1420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.9957, kb_relative_information_score: 8364.5506, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.9561, recall: 0.998, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0389, root_relative_squared_error: 0.0803, scimark_benchmark: 930.404, usercpu_time_millis: 90, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.9957, kb_relative_information_score: 8364.5506, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.9561, recall: 0.998, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0389, root_relative_squared_error: 0.0803, scimark_benchmark: 938.1282, usercpu_time_millis: 80, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.9957, kb_relative_information_score: 8364.5506, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.9561, recall: 0.998, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0389, root_relative_squared_error: 0.0803, scimark_benchmark: 938.1282, usercpu_time_millis: 80, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.9957, kb_relative_information_score: 8364.5506, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.9561, recall: 0.998, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0389, root_relative_squared_error: 0.0803, scimark_benchmark: 933.3455, usercpu_time_millis: 130, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9672, kappa: 0.93, kb_relative_information_score: 7192.538, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.9673, predictive_accuracy: 0.9673, prior_entropy: 0.9561, recall: 0.9673, relative_absolute_error: 0.1632, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3408, scimark_benchmark: 930.404, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9924, kb_relative_information_score: 8210.109, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9561, recall: 0.9964, relative_absolute_error: 0.0292, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0512, root_relative_squared_error: 0.1057, scimark_benchmark: 906.0979, usercpu_time_millis: 6790, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 6350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.9957, kb_relative_information_score: 8364.5506, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.9561, recall: 0.998, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0389, root_relative_squared_error: 0.0803, scimark_benchmark: 932.438, usercpu_time_millis: 80, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.995, kappa: 0.9894, kb_relative_information_score: 7145.9885, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9561, recall: 0.995, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.271, scimark_benchmark: 936.3213, usercpu_time_millis: 350, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9942, kappa: 0.9876, kb_relative_information_score: 7439.8504, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.9561, recall: 0.9942, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.2277, scimark_benchmark: 833.4972, usercpu_time_millis: 49910, usercpu_time_millis_testing: 25560, usercpu_time_millis_training: 24350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9939, kappa: 0.9871, kb_relative_information_score: 7434.9877, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.994, predictive_accuracy: 0.9939, prior_entropy: 0.9561, recall: 0.9939, relative_absolute_error: 0.1456, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.112, root_relative_squared_error: 0.2311, scimark_benchmark: 932.438, usercpu_time_millis: 17450, usercpu_time_millis_testing: 8040, usercpu_time_millis_training: 9410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9931, kappa: 0.9853, kb_relative_information_score: 7428.9419, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.9561, recall: 0.9931, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.2359, scimark_benchmark: 901.4991, usercpu_time_millis: 7980, usercpu_time_millis_testing: 3560, usercpu_time_millis_training: 4420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9815, kb_relative_information_score: 7424.4908, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9561, recall: 0.9913, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.2491, scimark_benchmark: 920.5394, usercpu_time_millis: 3750, usercpu_time_millis_testing: 1430, usercpu_time_millis_training: 2320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9895, kappa: 0.9777, kb_relative_information_score: 7390.3238, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.9896, predictive_accuracy: 0.9895, prior_entropy: 0.9561, recall: 0.9895, relative_absolute_error: 0.1457, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1314, root_relative_squared_error: 0.2712, scimark_benchmark: 862.7006, usercpu_time_millis: 1500, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 1160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9897, kappa: 0.978, kb_relative_information_score: 8217.266, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 0.9561, recall: 0.9897, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0941, root_relative_squared_error: 0.1943, scimark_benchmark: 941.9549, usercpu_time_millis: 970, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9897, kappa: 0.978, kb_relative_information_score: 8216.0203, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 0.9561, recall: 0.9897, relative_absolute_error: 0.0224, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0941, root_relative_squared_error: 0.1943, scimark_benchmark: 930.0565, usercpu_time_millis: 790, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.99, kappa: 0.9787, kb_relative_information_score: 8209.348, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 0.9561, recall: 0.99, relative_absolute_error: 0.0235, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.1915, scimark_benchmark: 894.7131, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9855, kappa: 0.9691, kb_relative_information_score: 8116.0017, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 0.9561, recall: 0.9855, relative_absolute_error: 0.0348, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.2234, scimark_benchmark: 936.1714, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9691, kappa: 0.9341, kb_relative_information_score: 7773.3319, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.9691, predictive_accuracy: 0.9691, prior_entropy: 0.9561, recall: 0.9691, relative_absolute_error: 0.0765, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.3153, scimark_benchmark: 936.1714, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9913, kappa: 0.9815, kb_relative_information_score: 8251.5858, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9561, recall: 0.9913, relative_absolute_error: 0.0181, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.087, root_relative_squared_error: 0.1796, scimark_benchmark: 926.5859, usercpu_time_millis: 1510, usercpu_time_millis_training: 1510,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.995, kappa: 0.9894, kb_relative_information_score: 7145.9885, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9561, recall: 0.995, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.271, scimark_benchmark: 1317.2327, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9946, kappa: 0.9886, kb_relative_information_score: 8301.8357, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.9947, predictive_accuracy: 0.9946, prior_entropy: 0.9561, recall: 0.9946, relative_absolute_error: 0.0126, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.1398, scimark_benchmark: 1313.11, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9672, kappa: 0.93, kb_relative_information_score: 7192.538, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.9673, predictive_accuracy: 0.9673, prior_entropy: 0.9561, recall: 0.9673, relative_absolute_error: 0.1632, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3408, scimark_benchmark: 1342.8584, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9924, kb_relative_information_score: 8210.109, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9561, recall: 0.9964, relative_absolute_error: 0.0292, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0512, root_relative_squared_error: 0.1057, scimark_benchmark: 1346.0226, usercpu_time_millis: 3530, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 3230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.9957, kb_relative_information_score: 8364.5506, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.9561, recall: 0.998, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0389, root_relative_squared_error: 0.0803, scimark_benchmark: 1310.3168, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9946, kappa: 0.9886, kb_relative_information_score: 8301.8357, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.9947, predictive_accuracy: 0.9946, prior_entropy: 0.9561, recall: 0.9946, relative_absolute_error: 0.0126, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.1398, scimark_benchmark: 1342.2845, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9672, kappa: 0.93, kb_relative_information_score: 7192.538, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.9673, predictive_accuracy: 0.9673, prior_entropy: 0.9561, recall: 0.9673, relative_absolute_error: 0.1632, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3408, scimark_benchmark: 1327.3335, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9737, kappa: 0.9439, kb_relative_information_score: 7867.7588, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.9737, predictive_accuracy: 0.9737, prior_entropy: 0.9561, recall: 0.9737, relative_absolute_error: 0.0649, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.3068, scimark_benchmark: 1335.5309, usercpu_time_millis: 9160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 9120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.995, kappa: 0.9894, kb_relative_information_score: 7145.9885, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9561, recall: 0.995, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.271, scimark_benchmark: 1346.2927, usercpu_time_millis: 290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9685, kappa: 0.9328, kb_relative_information_score: 7592.1129, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.9685, predictive_accuracy: 0.9685, prior_entropy: 0.9561, recall: 0.9685, relative_absolute_error: 0.1035, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.155, root_relative_squared_error: 0.3199, scimark_benchmark: 1322.806, usercpu_time_millis: 570, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9923, kappa: 0.9835, kb_relative_information_score: 8130.2747, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 0.9561, recall: 0.9923, relative_absolute_error: 0.0377, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.1662, scimark_benchmark: 1331.8682, usercpu_time_millis: 570, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4784, kb_relative_information_score: 1479.2571, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.3882, predictive_accuracy: 0.6231, prior_entropy: 0.9561, recall: 0.6231, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.6139, root_relative_squared_error: 1.2669, scimark_benchmark: 1352.9101, usercpu_time_millis: 4760, usercpu_time_millis_testing: 2410, usercpu_time_millis_training: 2350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9946, kappa: 0.9886, kb_relative_information_score: 8301.8357, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.9947, predictive_accuracy: 0.9946, prior_entropy: 0.9561, recall: 0.9946, relative_absolute_error: 0.0126, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.1398, scimark_benchmark: 1352.9931, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.9957, kb_relative_information_score: 8364.5506, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.9561, recall: 0.998, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0389, root_relative_squared_error: 0.0803, scimark_benchmark: 1367.3264, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9672, kappa: 0.93, kb_relative_information_score: 7192.538, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4698, number_of_instances: 8410, precision: 0.9673, predictive_accuracy: 0.9673, prior_entropy: 0.9561, recall: 0.9673, relative_absolute_error: 0.1632, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3408, scimark_benchmark: 1292.1745, usercpu_time_millis: 140, usercpu_time_millis_training: 140,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs