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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: 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: 906.0979,
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: 972.587, 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: 851.2074, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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: 931.771, usercpu_time_millis: 170, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 100,
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: 938.191,
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: 941.6675, 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: 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: 942.2392,
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: 905.2959,
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: 947.1781, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, 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: 932.438,
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: 932.438,
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: 974.2014,
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: 936.3373, usercpu_time_millis: 40, 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: 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: 947.1781, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
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: 819.5729,
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: 935.2002, 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: 906.5979, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 908.9569, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
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: 919.3788, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
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: 930.404, 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: 903.2737,
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: 903.2737,
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: 933.3455,
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: 941.4991, 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: 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: 936.9595, usercpu_time_millis: 1670, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1610,
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: 945.6228,
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: 935.5664, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 130.107, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.3466, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.4175, scimark_benchmark: 938.988, usercpu_time_millis: 1720, usercpu_time_millis_testing: 600, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 133.2668, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.3274, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4, scimark_benchmark: 934.695, usercpu_time_millis: 940, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 130.2155, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4181, scimark_benchmark: 939.7241, usercpu_time_millis: 390, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 132.0883, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.334, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.4084, scimark_benchmark: 914.3583, usercpu_time_millis: 300, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 144.3069, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2631, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.3199, scimark_benchmark: 889.4922, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.756, kappa: 0.5348, kb_relative_information_score: 66.6932, 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: 0.4024, root_relative_squared_error: 0.8048, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.756, kappa: 0.5348, kb_relative_information_score: 66.6932, 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: 0.4024, root_relative_squared_error: 0.8048, scimark_benchmark: 894.7131,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.756, kappa: 0.5348, kb_relative_information_score: 66.6932, 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: 0.4024, root_relative_squared_error: 0.8048, scimark_benchmark: 926.5859,
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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: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, f_measure: 0.756, kappa: 0.5348, kb_relative_information_score: 95.2426, mean_absolute_error: 0.2434, 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: 0.4867, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9147, scimark_benchmark: 936.7286, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
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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: 1324.6442,
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: 1350.2591,
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: 0.9408, 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: 0.7507, 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: 0.9975, 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: 1319.4538,
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: 1310.6554,
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: 1310.6554,
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: 1317.5857, usercpu_time_millis: 1010, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 960,
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: 1306.9281,
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: 1335.2357,
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: 1345.6844, 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: 1319.4538,
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: 1342.2845,
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: 1323.5075,

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