Task
Supervised Classification on heart-c

Supervised Classification on heart-c

Task 4550 Supervised Classification heart-c 212 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7772, kappa: 0.55, kb_relative_information_score: 1407.0668, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.7782, predictive_accuracy: 0.7782, prior_entropy: 0.9943, recall: 0.7782, relative_absolute_error: 0.5587, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8563, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8068, kappa: 0.6103, kb_relative_information_score: 1401.9351, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8068, predictive_accuracy: 0.8069, prior_entropy: 0.9943, recall: 0.8069, relative_absolute_error: 0.5694, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7322, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.7938, kappa: 0.584, kb_relative_information_score: 1552.4082, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.7938, predictive_accuracy: 0.7941, prior_entropy: 0.9943, recall: 0.7941, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7721, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5218, f_measure: 0.4409, kappa: 0.047, kb_relative_information_score: 347.5391, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.6265, predictive_accuracy: 0.5624, prior_entropy: 0.9943, recall: 0.5624, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.6615, root_relative_squared_error: 1.3283, scimark_benchmark: 941.3142, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8258, kappa: 0.6485, kb_relative_information_score: 1854.8055, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8259, predictive_accuracy: 0.8261, prior_entropy: 0.9943, recall: 0.8261, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7099, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.805, kappa: 0.606, kb_relative_information_score: 1383.6683, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8075, predictive_accuracy: 0.8063, prior_entropy: 0.9943, recall: 0.8063, relative_absolute_error: 0.574, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7502, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8251, kappa: 0.647, kb_relative_information_score: 1693.7709, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8252, predictive_accuracy: 0.8254, prior_entropy: 0.9943, recall: 0.8254, relative_absolute_error: 0.4607, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7156, scimark_benchmark: 926.576, usercpu_time_millis: 1860, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.8087, kappa: 0.614, kb_relative_information_score: 1724.7834, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8087, predictive_accuracy: 0.8089, prior_entropy: 0.9943, recall: 0.8089, relative_absolute_error: 0.4408, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7701, scimark_benchmark: 931.771, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8094, kappa: 0.6151, kb_relative_information_score: 1450.5254, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8098, predictive_accuracy: 0.8099, prior_entropy: 0.9943, recall: 0.8099, relative_absolute_error: 0.5496, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7306, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5218, f_measure: 0.4409, kappa: 0.047, kb_relative_information_score: 347.5391, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.6265, predictive_accuracy: 0.5624, prior_entropy: 0.9943, recall: 0.5624, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.6615, root_relative_squared_error: 1.3283, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5218, f_measure: 0.4409, kappa: 0.047, kb_relative_information_score: 347.5391, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.6265, predictive_accuracy: 0.5624, prior_entropy: 0.9943, recall: 0.5624, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.6615, root_relative_squared_error: 1.3283, scimark_benchmark: 941.3847, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8094, kappa: 0.6151, kb_relative_information_score: 1450.5254, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8098, predictive_accuracy: 0.8099, prior_entropy: 0.9943, recall: 0.8099, relative_absolute_error: 0.5496, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7306, scimark_benchmark: 947.1781, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7772, kappa: 0.55, kb_relative_information_score: 1407.0668, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.7782, predictive_accuracy: 0.7782, prior_entropy: 0.9943, recall: 0.7782, relative_absolute_error: 0.5587, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8563, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8068, kappa: 0.6103, kb_relative_information_score: 1401.9351, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8068, predictive_accuracy: 0.8069, prior_entropy: 0.9943, recall: 0.8069, relative_absolute_error: 0.5694, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7322, scimark_benchmark: 901.6243, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.7938, kappa: 0.584, kb_relative_information_score: 1552.4082, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.7938, predictive_accuracy: 0.7941, prior_entropy: 0.9943, recall: 0.7941, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7721, scimark_benchmark: 936.2574, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5218, f_measure: 0.4409, kappa: 0.047, kb_relative_information_score: 347.5391, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.6265, predictive_accuracy: 0.5624, prior_entropy: 0.9943, recall: 0.5624, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.6615, root_relative_squared_error: 1.3283, scimark_benchmark: 908.9569, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5218, f_measure: 0.4409, kappa: 0.047, kb_relative_information_score: 347.5391, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.6265, predictive_accuracy: 0.5624, prior_entropy: 0.9943, recall: 0.5624, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.6615, root_relative_squared_error: 1.3283, scimark_benchmark: 859.5223, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.8302, kappa: 0.6573, kb_relative_information_score: 1871.5268, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8302, predictive_accuracy: 0.8304, prior_entropy: 0.9943, recall: 0.8304, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.7352, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8258, kappa: 0.6485, kb_relative_information_score: 1854.8055, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8259, predictive_accuracy: 0.8261, prior_entropy: 0.9943, recall: 0.8261, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7099, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8258, kappa: 0.6485, kb_relative_information_score: 1854.8055, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8259, predictive_accuracy: 0.8261, prior_entropy: 0.9943, recall: 0.8261, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7099, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.805, kappa: 0.606, kb_relative_information_score: 1383.6683, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8075, predictive_accuracy: 0.8063, prior_entropy: 0.9943, recall: 0.8063, relative_absolute_error: 0.574, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7502, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8251, kappa: 0.647, kb_relative_information_score: 1693.7709, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8252, predictive_accuracy: 0.8254, prior_entropy: 0.9943, recall: 0.8254, relative_absolute_error: 0.4607, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7156, scimark_benchmark: 906.0979, usercpu_time_millis: 1780, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8258, kappa: 0.6485, kb_relative_information_score: 1854.8055, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8259, predictive_accuracy: 0.8261, prior_entropy: 0.9943, recall: 0.8261, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7099, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.8087, kappa: 0.614, kb_relative_information_score: 1724.7834, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8087, predictive_accuracy: 0.8089, prior_entropy: 0.9943, recall: 0.8089, relative_absolute_error: 0.4408, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7701, scimark_benchmark: 936.3213, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8094, kappa: 0.6151, kb_relative_information_score: 1450.5254, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8098, predictive_accuracy: 0.8099, prior_entropy: 0.9943, recall: 0.8099, relative_absolute_error: 0.5496, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7306, scimark_benchmark: 901.4991, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.8357, kappa: 0.6682, kb_relative_information_score: 1585.6238, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8359, predictive_accuracy: 0.836, prior_entropy: 0.9943, recall: 0.836, relative_absolute_error: 0.5066, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7045, scimark_benchmark: 1051.249, usercpu_time_millis: 4160, usercpu_time_millis_testing: 1990, usercpu_time_millis_training: 2170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.8353, kappa: 0.6675, kb_relative_information_score: 1586.9849, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8356, predictive_accuracy: 0.8356, prior_entropy: 0.9943, recall: 0.8356, relative_absolute_error: 0.506, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7051, scimark_benchmark: 859.5223, usercpu_time_millis: 1200, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8314, kappa: 0.6596, kb_relative_information_score: 1590.7351, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8316, predictive_accuracy: 0.8317, prior_entropy: 0.9943, recall: 0.8317, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.706, scimark_benchmark: 906.5979, usercpu_time_millis: 540, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.828, kappa: 0.6528, kb_relative_information_score: 1569.5042, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8283, predictive_accuracy: 0.8284, prior_entropy: 0.9943, recall: 0.8284, relative_absolute_error: 0.5099, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.7183, scimark_benchmark: 939.3535, usercpu_time_millis: 260, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8171, kappa: 0.6307, kb_relative_information_score: 1562.7229, mean_absolute_error: 0.2525, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8174, predictive_accuracy: 0.8175, prior_entropy: 0.9943, recall: 0.8175, relative_absolute_error: 0.509, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7293, scimark_benchmark: 896.2181, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.8144, kappa: 0.6253, kb_relative_information_score: 1690.5669, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8147, predictive_accuracy: 0.8149, prior_entropy: 0.9943, recall: 0.8149, relative_absolute_error: 0.4573, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7531, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.8144, kappa: 0.6253, kb_relative_information_score: 1690.5669, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8147, predictive_accuracy: 0.8149, prior_entropy: 0.9943, recall: 0.8149, relative_absolute_error: 0.4573, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7531, scimark_benchmark: 930.0565, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.8144, kappa: 0.6253, kb_relative_information_score: 1690.5669, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8147, predictive_accuracy: 0.8149, prior_entropy: 0.9943, recall: 0.8149, relative_absolute_error: 0.4573, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7531, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.8144, kappa: 0.6253, kb_relative_information_score: 1690.5669, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8147, predictive_accuracy: 0.8149, prior_entropy: 0.9943, recall: 0.8149, relative_absolute_error: 0.4573, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7531, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8161, kappa: 0.6287, kb_relative_information_score: 1689.0543, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8163, predictive_accuracy: 0.8165, prior_entropy: 0.9943, recall: 0.8165, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7517, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, f_measure: 0.384, kb_relative_information_score: -0.4368, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.2965, predictive_accuracy: 0.5446, prior_entropy: 0.9943, recall: 0.5446, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0001, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8246, kappa: 0.6459, kb_relative_information_score: 1949.8653, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8251, predictive_accuracy: 0.8251, prior_entropy: 0.9943, recall: 0.8251, relative_absolute_error: 0.3568, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7841, scimark_benchmark: 936.7286, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.8278, kappa: 0.6523, kb_relative_information_score: 1946.5687, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8279, predictive_accuracy: 0.8281, prior_entropy: 0.9943, recall: 0.8281, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7819, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8094, kappa: 0.6151, kb_relative_information_score: 1450.5254, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8098, predictive_accuracy: 0.8099, prior_entropy: 0.9943, recall: 0.8099, relative_absolute_error: 0.5496, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7306, scimark_benchmark: 1317.5857, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8068, kappa: 0.6103, kb_relative_information_score: 1401.9351, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8068, predictive_accuracy: 0.8069, prior_entropy: 0.9943, recall: 0.8069, relative_absolute_error: 0.5694, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7322, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8258, kappa: 0.6485, kb_relative_information_score: 1854.8055, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8259, predictive_accuracy: 0.8261, prior_entropy: 0.9943, recall: 0.8261, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7099, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.8302, kappa: 0.6573, kb_relative_information_score: 1871.5268, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8302, predictive_accuracy: 0.8304, prior_entropy: 0.9943, recall: 0.8304, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.7352, scimark_benchmark: 1319.4538, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8258, kappa: 0.6485, kb_relative_information_score: 1854.8055, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8259, predictive_accuracy: 0.8261, prior_entropy: 0.9943, recall: 0.8261, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7099, scimark_benchmark: 1322.3407,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8251, kappa: 0.647, kb_relative_information_score: 1693.7708, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8252, predictive_accuracy: 0.8254, prior_entropy: 0.9943, recall: 0.8254, relative_absolute_error: 0.4607, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7156, scimark_benchmark: 1307.8606, usercpu_time_millis: 1770, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8258, kappa: 0.6485, kb_relative_information_score: 1854.8055, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8259, predictive_accuracy: 0.8261, prior_entropy: 0.9943, recall: 0.8261, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7099, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8068, kappa: 0.6103, kb_relative_information_score: 1401.9351, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8068, predictive_accuracy: 0.8069, prior_entropy: 0.9943, recall: 0.8069, relative_absolute_error: 0.5694, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7322, scimark_benchmark: 1314.2279, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.7938, kappa: 0.584, kb_relative_information_score: 1552.4082, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.7938, predictive_accuracy: 0.7941, prior_entropy: 0.9943, recall: 0.7941, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7721, scimark_benchmark: 1307.9497, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5218, f_measure: 0.4409, kappa: 0.047, kb_relative_information_score: 347.5391, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.6265, predictive_accuracy: 0.5624, prior_entropy: 0.9943, recall: 0.5624, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.6615, root_relative_squared_error: 1.3283, scimark_benchmark: 1334.863, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.8302, kappa: 0.6573, kb_relative_information_score: 1871.5268, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8302, predictive_accuracy: 0.8304, prior_entropy: 0.9943, recall: 0.8304, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.7352, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8258, kappa: 0.6485, kb_relative_information_score: 1854.8055, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8259, predictive_accuracy: 0.8261, prior_entropy: 0.9943, recall: 0.8261, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7099, scimark_benchmark: 1345.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8258, kappa: 0.6485, kb_relative_information_score: 1854.8055, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8259, predictive_accuracy: 0.8261, prior_entropy: 0.9943, recall: 0.8261, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7099, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8258, kappa: 0.6485, kb_relative_information_score: 1854.8055, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8259, predictive_accuracy: 0.8261, prior_entropy: 0.9943, recall: 0.8261, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7099, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8258, kappa: 0.6485, kb_relative_information_score: 1854.8055, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8259, predictive_accuracy: 0.8261, prior_entropy: 0.9943, recall: 0.8261, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7099, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8258, kappa: 0.6485, kb_relative_information_score: 1854.8055, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8259, predictive_accuracy: 0.8261, prior_entropy: 0.9943, recall: 0.8261, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7099, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8258, kappa: 0.6485, kb_relative_information_score: 1854.8055, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8259, predictive_accuracy: 0.8261, prior_entropy: 0.9943, recall: 0.8261, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7099, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.8087, kappa: 0.614, kb_relative_information_score: 1724.7834, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8087, predictive_accuracy: 0.8089, prior_entropy: 0.9943, recall: 0.8089, relative_absolute_error: 0.4408, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7701, scimark_benchmark: 1351.3088, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8094, kappa: 0.6151, kb_relative_information_score: 1450.5254, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8098, predictive_accuracy: 0.8099, prior_entropy: 0.9943, recall: 0.8099, relative_absolute_error: 0.5496, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7306, scimark_benchmark: 1313.5633, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.7938, kappa: 0.584, kb_relative_information_score: 1552.4082, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.7938, predictive_accuracy: 0.7941, prior_entropy: 0.9943, recall: 0.7941, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7721, scimark_benchmark: 1322.5413, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.8087, kappa: 0.614, kb_relative_information_score: 1724.7834, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8087, predictive_accuracy: 0.8089, prior_entropy: 0.9943, recall: 0.8089, relative_absolute_error: 0.4408, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7701, scimark_benchmark: 1344.3409, usercpu_time_millis: 270, usercpu_time_millis_training: 270,

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