Task
Supervised Classification on monks-problems-1

Supervised Classification on monks-problems-1

Task 3053 Supervised Classification monks-problems-1 366 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.889, kappa: 0.7799, kb_relative_information_score: 94.9175, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.9099, predictive_accuracy: 0.8907, prior_entropy: 1, recall: 0.8907, relative_absolute_error: 0.5247, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6368, scimark_benchmark: 1337.3324, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.889, kappa: 0.7799, kb_relative_information_score: 94.9175, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.9099, predictive_accuracy: 0.8907, prior_entropy: 1, recall: 0.8907, relative_absolute_error: 0.5247, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6368, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 155.3798, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1943, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.2308, scimark_benchmark: 1342.2845, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 146.4764, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2455, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.3159, scimark_benchmark: 1320.8283, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.756, kappa: 0.5348, kb_relative_information_score: 67.9905, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.8414, predictive_accuracy: 0.7705, prior_entropy: 1, recall: 0.7705, relative_absolute_error: 0.6515, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.7924, scimark_benchmark: 1321.4771, usercpu_time_millis: 140, usercpu_time_millis_testing: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8307, kappa: 0.6689, kb_relative_information_score: 114.4827, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.8757, predictive_accuracy: 0.8361, prior_entropy: 1, recall: 0.8361, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.589, scimark_benchmark: 1310.3168, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 183, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, root_mean_prior_squared_error: 0.5, scimark_benchmark: 1256.2802, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8307, kappa: 0.6689, kb_relative_information_score: 117.7328, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.8757, predictive_accuracy: 0.8361, prior_entropy: 1, recall: 0.8361, relative_absolute_error: 0.362, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.5865, scimark_benchmark: 1317.7919, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9726, kappa: 0.9452, kb_relative_information_score: 173, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.9741, predictive_accuracy: 0.9727, prior_entropy: 1, recall: 0.9727, relative_absolute_error: 0.0546, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.3306, scimark_benchmark: 1345.7919, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.756, kappa: 0.5348, kb_relative_information_score: 99, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.8414, predictive_accuracy: 0.7705, prior_entropy: 1, recall: 0.7705, relative_absolute_error: 0.459, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4791, root_relative_squared_error: 0.9581, scimark_benchmark: 1342.4614, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.756, kappa: 0.5348, kb_relative_information_score: 99, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.8414, predictive_accuracy: 0.7705, prior_entropy: 1, recall: 0.7705, relative_absolute_error: 0.459, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4791, root_relative_squared_error: 0.9581, scimark_benchmark: 1342.9012, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.889, kappa: 0.7799, kb_relative_information_score: 94.9175, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.9099, predictive_accuracy: 0.8907, prior_entropy: 1, recall: 0.8907, relative_absolute_error: 0.5247, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6368, scimark_benchmark: 1396.1629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.889, kappa: 0.7799, kb_relative_information_score: 94.9175, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.9099, predictive_accuracy: 0.8907, prior_entropy: 1, recall: 0.8907, relative_absolute_error: 0.5247, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6368, scimark_benchmark: 1347.6184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.889, kappa: 0.7799, kb_relative_information_score: 94.9175, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.9099, predictive_accuracy: 0.8907, prior_entropy: 1, recall: 0.8907, relative_absolute_error: 0.5247, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6368, scimark_benchmark: 1371.174, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.889, kappa: 0.7799, kb_relative_information_score: 94.9175, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.9099, predictive_accuracy: 0.8907, prior_entropy: 1, recall: 0.8907, relative_absolute_error: 0.5247, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6368, scimark_benchmark: 1364.5528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 151.9949, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2065, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.3013, scimark_benchmark: 1335.2021, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.889, kappa: 0.7799, kb_relative_information_score: 94.9175, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.9099, predictive_accuracy: 0.8907, prior_entropy: 1, recall: 0.8907, relative_absolute_error: 0.5247, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6368, scimark_benchmark: 1327.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.756, kappa: 0.5348, kb_relative_information_score: 99, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.8414, predictive_accuracy: 0.7705, prior_entropy: 1, recall: 0.7705, relative_absolute_error: 0.459, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4791, root_relative_squared_error: 0.9581, scimark_benchmark: 1348.1311, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.889, kappa: 0.7799, kb_relative_information_score: 94.9175, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.9099, predictive_accuracy: 0.8907, prior_entropy: 1, recall: 0.8907, relative_absolute_error: 0.5247, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6368, scimark_benchmark: 1364.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.756, kappa: 0.5348, kb_relative_information_score: 99, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.8414, predictive_accuracy: 0.7705, prior_entropy: 1, recall: 0.7705, relative_absolute_error: 0.459, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4791, root_relative_squared_error: 0.9581, scimark_benchmark: 1334.8032, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.889, kappa: 0.7799, kb_relative_information_score: 94.9175, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.9099, predictive_accuracy: 0.8907, prior_entropy: 1, recall: 0.8907, relative_absolute_error: 0.5247, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6368, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 151.9949, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2065, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.3013, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.889, kappa: 0.7799, kb_relative_information_score: 94.9175, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.9099, predictive_accuracy: 0.8907, prior_entropy: 1, recall: 0.8907, relative_absolute_error: 0.5247, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6368, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 155.3798, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1943, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.2308, scimark_benchmark: 1354.3488, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.756, kappa: 0.5348, kb_relative_information_score: 65.9896, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.8414, predictive_accuracy: 0.7705, prior_entropy: 1, recall: 0.7705, relative_absolute_error: 0.6621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8049, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.889, kappa: 0.7799, kb_relative_information_score: 94.9175, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.9099, predictive_accuracy: 0.8907, prior_entropy: 1, recall: 0.8907, relative_absolute_error: 0.5247, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6368, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 146.4764, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2455, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.3159, scimark_benchmark: 942.9708, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.756, kappa: 0.5348, kb_relative_information_score: 65.9896, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.8414, predictive_accuracy: 0.7705, prior_entropy: 1, recall: 0.7705, relative_absolute_error: 0.6621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8049, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 146.1248, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2514, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.3066, scimark_benchmark: 1335.5424, usercpu_time_millis: 890, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 840,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.756, kappa: 0.5348, kb_relative_information_score: 65.9896, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.8414, predictive_accuracy: 0.7705, prior_entropy: 1, recall: 0.7705, relative_absolute_error: 0.6621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8049, scimark_benchmark: 1312.2688,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 151.9949, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2065, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.3013, scimark_benchmark: 1322.7383, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 155.3798, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1943, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.2308, scimark_benchmark: 1354.3488, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3183, kb_relative_information_score: -0.0955, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.2365, predictive_accuracy: 0.4863, prior_entropy: 1, recall: 0.4863, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0005, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.756, kappa: 0.5348, kb_relative_information_score: 5.9, mean_absolute_error: 0.4883, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.8414, predictive_accuracy: 0.7705, prior_entropy: 1, recall: 0.7705, relative_absolute_error: 0.9767, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4887, root_relative_squared_error: 0.9775, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9836, kappa: 0.9672, kb_relative_information_score: 176.9199, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.9841, predictive_accuracy: 0.9836, prior_entropy: 1, recall: 0.9836, relative_absolute_error: 0.0334, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.128, root_relative_squared_error: 0.2561, scimark_benchmark: 1324.8395, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, f_measure: 0.7382, kappa: 0.4917, kb_relative_information_score: 61.9706, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.7864, predictive_accuracy: 0.7486, prior_entropy: 1, recall: 0.7486, relative_absolute_error: 0.681, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8453, scimark_benchmark: 1363.434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9726, kappa: 0.9452, kb_relative_information_score: 173, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.9741, predictive_accuracy: 0.9727, prior_entropy: 1, recall: 0.9727, relative_absolute_error: 0.0546, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.3306, scimark_benchmark: 1324.8395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8307, kappa: 0.6689, kb_relative_information_score: 114.4827, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.8757, predictive_accuracy: 0.8361, prior_entropy: 1, recall: 0.8361, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.589, scimark_benchmark: 887.6719, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8307, kappa: 0.6689, kb_relative_information_score: 114.4827, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.8757, predictive_accuracy: 0.8361, prior_entropy: 1, recall: 0.8361, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.589, scimark_benchmark: 885.0921, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 55.69, mean_absolute_error: 0.3786, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7704, scimark_benchmark: 1321.527, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 68.3156, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.6975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7109, scimark_benchmark: 932.0242, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7437, f_measure: 0.756, kappa: 0.5348, kb_relative_information_score: 66.822, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.8414, predictive_accuracy: 0.7705, prior_entropy: 1, recall: 0.7705, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.805, scimark_benchmark: 1028.5889, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7458, f_measure: 0.7625, kappa: 0.546, kb_relative_information_score: 66.7877, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.844, predictive_accuracy: 0.776, prior_entropy: 1, recall: 0.776, relative_absolute_error: 0.6574, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8051, scimark_benchmark: 889.3151, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9617, kappa: 0.9233, kb_relative_information_score: 138.5907, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.9644, predictive_accuracy: 0.9617, prior_entropy: 1, recall: 0.9617, relative_absolute_error: 0.2866, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.3877, scimark_benchmark: 869.6028, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 151.9949, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2065, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.3013, scimark_benchmark: 1331.6907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.756, kappa: 0.5348, kb_relative_information_score: 66.7196, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.8414, predictive_accuracy: 0.7705, prior_entropy: 1, recall: 0.7705, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8002, scimark_benchmark: 882.7843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, f_measure: 0.756, kappa: 0.5348, kb_relative_information_score: 66.9196, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.8414, predictive_accuracy: 0.7705, prior_entropy: 1, recall: 0.7705, relative_absolute_error: 0.6564, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8015, scimark_benchmark: 915.9693, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,

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