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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: 0.7507, 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: 1340.5125,
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: 875.9128, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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: 934.1885,
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: 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: 1331.7953, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, 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: 0.9716, 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: 0.9975, 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: 0.764, 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: 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: 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: 0.87, 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: 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: 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: 0.764, 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: 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: 1371.9645,
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: 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,
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: 1324.7884,
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: 1319.4538,
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: 1328.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9836, kappa: 0.9672, kb_relative_information_score: 93.8546, mean_absolute_error: 0.2794, 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: 0.5588, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.297, root_relative_squared_error: 0.594, scimark_benchmark: 1337.6765, usercpu_time_millis: 360, usercpu_time_millis_testing: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, build_cpu_time: 9.685, build_memory: 118245640, f_measure: 0.9781, kappa: 0.9562, kb_relative_information_score: 136.3114, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.979, predictive_accuracy: 0.9781, prior_entropy: 1, recall: 0.9781, relative_absolute_error: 0.3027, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.3957, scimark_benchmark: 941.7462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, build_cpu_time: 4.309, build_memory: 322582872, f_measure: 0.9617, kappa: 0.9233, kb_relative_information_score: 130.1347, mean_absolute_error: 0.1686, 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: 0.3372, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.4389, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, build_cpu_time: 0.005, build_memory: 50145344, f_measure: 0.756, kappa: 0.5348, kb_relative_information_score: 68.8907, mean_absolute_error: 0.3235, 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: 0.6469, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.7916, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_cpu_time: 2.195, build_memory: 184374544, f_measure: 0.9506, kappa: 0.9013, kb_relative_information_score: 124.8854, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.9551, predictive_accuracy: 0.9508, prior_entropy: 1, recall: 0.9508, relative_absolute_error: 0.3646, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.4743, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, build_cpu_time: 0.003, build_memory: 558631128, f_measure: 0.756, kappa: 0.5348, kb_relative_information_score: 69.1828, mean_absolute_error: 0.3227, 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: 0.6454, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.7914, scimark_benchmark: 944.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, build_cpu_time: 0.845, build_memory: 2426973312, f_measure: 0.9396, kappa: 0.8793, kb_relative_information_score: 123.0795, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.9462, predictive_accuracy: 0.9399, prior_entropy: 1, recall: 0.9399, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.4966, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.497, build_memory: 608597952, f_measure: 1, kappa: 1, kb_relative_information_score: 181.1511, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0129, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0304, root_relative_squared_error: 0.0609, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 26.652, build_memory: 65407672, 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: 942.5873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, build_cpu_time: 0.009, build_memory: 566927728, f_measure: 0.756, kappa: 0.5348, kb_relative_information_score: 65.5605, mean_absolute_error: 0.3319, 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: 0.6637, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8045, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.06, build_memory: 1857058624, f_measure: 0.9726, kappa: 0.9452, kb_relative_information_score: 141.5017, mean_absolute_error: 0.136, 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: 0.272, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.181, root_relative_squared_error: 0.362, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, build_cpu_time: 0.002, build_memory: 924662192, f_measure: 0.9177, kappa: 0.8355, kb_relative_information_score: 148, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.9219, predictive_accuracy: 0.918, prior_entropy: 1, recall: 0.918, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2807, root_relative_squared_error: 0.5614, scimark_benchmark: 939.084,
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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: 1345.7204,
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: 1345.7204,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.756, kappa: 0.5348, kb_relative_information_score: 66.703, 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: 0.6578, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.7997, scimark_benchmark: 1168.3268,
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,
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: 1350.073,
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: 918.0213,
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: 1288.1375,
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: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 2.341, build_memory: 1191405800, f_measure: 0.9726, kappa: 0.9452, kb_relative_information_score: 133.1086, mean_absolute_error: 0.1639, 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: 0.3279, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.3958, scimark_benchmark: 929.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, build_cpu_time: 0.206, build_memory: 719201856, 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: 934.8065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, build_cpu_time: 0.464, build_memory: 404268048, f_measure: 0.756, kappa: 0.5348, kb_relative_information_score: 94.8008, mean_absolute_error: 0.2454, 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: 0.4907, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.8928, scimark_benchmark: 916.7338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, build_cpu_time: 0.523, build_memory: 441807960, f_measure: 0.756, kappa: 0.5348, kb_relative_information_score: 94.8008, mean_absolute_error: 0.2454, 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: 0.4907, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.8928, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 4.834, build_memory: 611857872, f_measure: 0.9726, kappa: 0.9452, kb_relative_information_score: 132.9125, mean_absolute_error: 0.1645, 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: 0.329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.3972, scimark_benchmark: 870.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, build_cpu_time: 0.854, build_memory: 243587824, f_measure: 0.756, kappa: 0.5348, kb_relative_information_score: 99.1883, mean_absolute_error: 0.2288, 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: 0.4577, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9493, scimark_benchmark: 941.6933,

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