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Supervised Classification on fri_c4_100_100

Supervised Classification on fri_c4_100_100

Task 4398 Supervised Classification fri_c4_100_100 198 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.7692, kappa: 0.5436, kb_relative_information_score: 457.3923, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7828, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7904, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7562, kappa: 0.5119, kb_relative_information_score: 445.2864, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7576, predictive_accuracy: 0.756, prior_entropy: 0.9975, recall: 0.756, relative_absolute_error: 0.5715, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8287, scimark_benchmark: 972.587, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.769, kappa: 0.5365, kb_relative_information_score: 513.7697, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7691, predictive_accuracy: 0.769, prior_entropy: 0.9975, recall: 0.769, relative_absolute_error: 0.4933, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9071, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5518, f_measure: 0.5423, kappa: 0.1061, kb_relative_information_score: 125.5408, mean_absolute_error: 0.435, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.5645, predictive_accuracy: 0.565, prior_entropy: 0.9975, recall: 0.565, relative_absolute_error: 0.8731, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6595, root_relative_squared_error: 1.3215, scimark_benchmark: 904.6764, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.774, kappa: 0.5539, kb_relative_information_score: 430.8882, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7898, predictive_accuracy: 0.775, prior_entropy: 0.9975, recall: 0.775, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7927, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.774, kappa: 0.5539, kb_relative_information_score: 430.8882, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7898, predictive_accuracy: 0.775, prior_entropy: 0.9975, recall: 0.775, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7927, scimark_benchmark: 938.191, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8057, f_measure: 0.7527, kappa: 0.5126, kb_relative_information_score: 395.066, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7694, predictive_accuracy: 0.754, prior_entropy: 0.9975, recall: 0.754, relative_absolute_error: 0.6287, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8084, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.5729, kappa: 0.1489, kb_relative_information_score: 87.4033, mean_absolute_error: 0.4604, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.5805, predictive_accuracy: 0.582, prior_entropy: 0.9975, recall: 0.582, relative_absolute_error: 0.924, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9929, scimark_benchmark: 916.0735, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.734, kappa: 0.4662, kb_relative_information_score: 427.8279, mean_absolute_error: 0.2897, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7341, predictive_accuracy: 0.734, prior_entropy: 0.9975, recall: 0.734, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9216, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5518, f_measure: 0.5423, kappa: 0.1061, kb_relative_information_score: 125.5408, mean_absolute_error: 0.435, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.5645, predictive_accuracy: 0.565, prior_entropy: 0.9975, recall: 0.565, relative_absolute_error: 0.8731, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6595, root_relative_squared_error: 1.3215, scimark_benchmark: 944.1783, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5518, f_measure: 0.5423, kappa: 0.1061, kb_relative_information_score: 125.5408, mean_absolute_error: 0.435, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.5645, predictive_accuracy: 0.565, prior_entropy: 0.9975, recall: 0.565, relative_absolute_error: 0.8731, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6595, root_relative_squared_error: 1.3215, scimark_benchmark: 932.438, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.774, kappa: 0.5539, kb_relative_information_score: 430.8882, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7898, predictive_accuracy: 0.775, prior_entropy: 0.9975, recall: 0.775, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7927, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.7102, kappa: 0.4188, kb_relative_information_score: 133.9837, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7151, predictive_accuracy: 0.713, prior_entropy: 0.9975, recall: 0.713, relative_absolute_error: 0.8934, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9134, scimark_benchmark: 943.1009, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.7692, kappa: 0.5436, kb_relative_information_score: 457.3923, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7828, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7904, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7562, kappa: 0.5119, kb_relative_information_score: 445.2864, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7576, predictive_accuracy: 0.756, prior_entropy: 0.9975, recall: 0.756, relative_absolute_error: 0.5715, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8287, scimark_benchmark: 908.9569, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.769, kappa: 0.5365, kb_relative_information_score: 513.7697, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7691, predictive_accuracy: 0.769, prior_entropy: 0.9975, recall: 0.769, relative_absolute_error: 0.4933, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9071, scimark_benchmark: 936.2574, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5518, f_measure: 0.5423, kappa: 0.1061, kb_relative_information_score: 125.5408, mean_absolute_error: 0.435, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.5645, predictive_accuracy: 0.565, prior_entropy: 0.9975, recall: 0.565, relative_absolute_error: 0.8731, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6595, root_relative_squared_error: 1.3215, scimark_benchmark: 927.2882, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.774, kappa: 0.5539, kb_relative_information_score: 430.8882, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7898, predictive_accuracy: 0.775, prior_entropy: 0.9975, recall: 0.775, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7927, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.774, kappa: 0.5539, kb_relative_information_score: 430.8882, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7898, predictive_accuracy: 0.775, prior_entropy: 0.9975, recall: 0.775, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7927, scimark_benchmark: 903.2737, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8057, f_measure: 0.7527, kappa: 0.5126, kb_relative_information_score: 395.066, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7694, predictive_accuracy: 0.754, prior_entropy: 0.9975, recall: 0.754, relative_absolute_error: 0.6287, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8084, scimark_benchmark: 903.2737, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.5729, kappa: 0.1489, kb_relative_information_score: 87.4033, mean_absolute_error: 0.4604, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.5805, predictive_accuracy: 0.582, prior_entropy: 0.9975, recall: 0.582, relative_absolute_error: 0.924, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9929, scimark_benchmark: 926.5462, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.774, kappa: 0.5539, kb_relative_information_score: 430.8882, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7898, predictive_accuracy: 0.775, prior_entropy: 0.9975, recall: 0.775, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7927, scimark_benchmark: 944.0133, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.734, kappa: 0.4662, kb_relative_information_score: 427.8279, mean_absolute_error: 0.2897, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7341, predictive_accuracy: 0.734, prior_entropy: 0.9975, recall: 0.734, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9216, scimark_benchmark: 932.438, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.7102, kappa: 0.4188, kb_relative_information_score: 133.9837, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7151, predictive_accuracy: 0.713, prior_entropy: 0.9975, recall: 0.713, relative_absolute_error: 0.8934, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9134, scimark_benchmark: 938.988, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.7542, kappa: 0.5089, kb_relative_information_score: 273.9883, mean_absolute_error: 0.3794, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7575, predictive_accuracy: 0.754, prior_entropy: 0.9975, recall: 0.754, relative_absolute_error: 0.7614, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.8426, scimark_benchmark: 936.2574, usercpu_time_millis: 5580, usercpu_time_millis_testing: 2060, usercpu_time_millis_training: 3520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.7542, kappa: 0.5087, kb_relative_information_score: 270.2103, mean_absolute_error: 0.3809, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.757, predictive_accuracy: 0.754, prior_entropy: 0.9975, recall: 0.754, relative_absolute_error: 0.7646, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8461, scimark_benchmark: 859.5223, usercpu_time_millis: 2910, usercpu_time_millis_testing: 1090, usercpu_time_millis_training: 1820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.7262, kappa: 0.4517, kb_relative_information_score: 266.5468, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7275, predictive_accuracy: 0.726, prior_entropy: 0.9975, recall: 0.726, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8546, scimark_benchmark: 897.0978, usercpu_time_millis: 1470, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.7172, kappa: 0.4334, kb_relative_information_score: 271.0715, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7181, predictive_accuracy: 0.717, prior_entropy: 0.9975, recall: 0.717, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8565, scimark_benchmark: 938.8535, usercpu_time_millis: 710, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, f_measure: 0.7093, kappa: 0.4178, kb_relative_information_score: 268.8779, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7106, predictive_accuracy: 0.709, prior_entropy: 0.9975, recall: 0.709, relative_absolute_error: 0.756, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8769, scimark_benchmark: 920.5394, usercpu_time_millis: 350, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, f_measure: 0.7302, kappa: 0.4601, kb_relative_information_score: 452.6334, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.732, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5471, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5075, root_relative_squared_error: 1.0167, scimark_benchmark: 889.4922, usercpu_time_millis: 530, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7322, kappa: 0.4641, kb_relative_information_score: 455.9768, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.734, predictive_accuracy: 0.732, prior_entropy: 0.9975, recall: 0.732, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0016, scimark_benchmark: 938.3115, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.7211, kappa: 0.4406, kb_relative_information_score: 443.068, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7214, predictive_accuracy: 0.721, prior_entropy: 0.9975, recall: 0.721, relative_absolute_error: 0.5563, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9939, scimark_benchmark: 929.0296, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8162, f_measure: 0.7402, kappa: 0.4798, kb_relative_information_score: 459.0938, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7415, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9388, scimark_benchmark: 929.0296, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7541, kappa: 0.5069, kb_relative_information_score: 477.9198, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7545, predictive_accuracy: 0.754, prior_entropy: 0.9975, recall: 0.754, relative_absolute_error: 0.5278, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.8741, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4578, f_measure: 0.3672, kb_relative_information_score: -1.4035, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.001, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.7419, kappa: 0.4861, kb_relative_information_score: 480.0211, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.748, predictive_accuracy: 0.742, prior_entropy: 0.9975, recall: 0.742, relative_absolute_error: 0.5191, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9941, scimark_benchmark: 941.9549, usercpu_time_millis: 540, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7561, kappa: 0.5135, kb_relative_information_score: 506.4167, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7609, predictive_accuracy: 0.756, prior_entropy: 0.9975, recall: 0.756, relative_absolute_error: 0.4933, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9525, scimark_benchmark: 936.1714, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.7654, kappa: 0.5352, kb_relative_information_score: 513.8497, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7769, predictive_accuracy: 0.766, prior_entropy: 0.9975, recall: 0.766, relative_absolute_error: 0.4873, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.467, root_relative_squared_error: 0.9357, scimark_benchmark: 935.6052, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.774, kappa: 0.5539, kb_relative_information_score: 430.8882, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7898, predictive_accuracy: 0.775, prior_entropy: 0.9975, recall: 0.775, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7927, scimark_benchmark: 1342.8584, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.5729, kappa: 0.1489, kb_relative_information_score: 87.4033, mean_absolute_error: 0.4604, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.5805, predictive_accuracy: 0.582, prior_entropy: 0.9975, recall: 0.582, relative_absolute_error: 0.924, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9929, scimark_benchmark: 1313.11, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.774, kappa: 0.5539, kb_relative_information_score: 430.8882, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7898, predictive_accuracy: 0.775, prior_entropy: 0.9975, recall: 0.775, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7927, scimark_benchmark: 1332.1612, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.775, kappa: 0.5558, kb_relative_information_score: 430.9858, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7905, predictive_accuracy: 0.776, prior_entropy: 0.9975, recall: 0.776, relative_absolute_error: 0.592, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7913, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.774, kappa: 0.5539, kb_relative_information_score: 430.8882, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7898, predictive_accuracy: 0.775, prior_entropy: 0.9975, recall: 0.775, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7927, scimark_benchmark: 1327.3335, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.774, kappa: 0.5539, kb_relative_information_score: 430.8882, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7898, predictive_accuracy: 0.775, prior_entropy: 0.9975, recall: 0.775, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7927, scimark_benchmark: 1332.7986, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8057, f_measure: 0.7527, kappa: 0.5126, kb_relative_information_score: 395.066, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7694, predictive_accuracy: 0.754, prior_entropy: 0.9975, recall: 0.754, relative_absolute_error: 0.6287, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8084, scimark_benchmark: 1337.3324, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.774, kappa: 0.5539, kb_relative_information_score: 430.8882, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7898, predictive_accuracy: 0.775, prior_entropy: 0.9975, recall: 0.775, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7927, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.734, kappa: 0.4662, kb_relative_information_score: 427.8279, mean_absolute_error: 0.2897, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7341, predictive_accuracy: 0.734, prior_entropy: 0.9975, recall: 0.734, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9216, scimark_benchmark: 1320.8283, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.7102, kappa: 0.4188, kb_relative_information_score: 133.9837, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7151, predictive_accuracy: 0.713, prior_entropy: 0.9975, recall: 0.713, relative_absolute_error: 0.8934, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9134, scimark_benchmark: 1317.5348, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.7692, kappa: 0.5436, kb_relative_information_score: 457.3923, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7828, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7904, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5473, f_measure: 0.5321, kappa: 0.06, kb_relative_information_score: 61.5573, mean_absolute_error: 0.4666, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.5318, predictive_accuracy: 0.533, prior_entropy: 0.9975, recall: 0.533, relative_absolute_error: 0.9365, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6553, root_relative_squared_error: 1.313, scimark_benchmark: 1320.2063, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.771, kappa: 0.5405, kb_relative_information_score: 517.3478, mean_absolute_error: 0.2441, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7711, predictive_accuracy: 0.771, prior_entropy: 0.9975, recall: 0.771, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9032, scimark_benchmark: 1339.6197, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.775, kappa: 0.5558, kb_relative_information_score: 430.9858, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7905, predictive_accuracy: 0.776, prior_entropy: 0.9975, recall: 0.776, relative_absolute_error: 0.592, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7913, scimark_benchmark: 1371.174, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.774, kappa: 0.5539, kb_relative_information_score: 430.8882, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7898, predictive_accuracy: 0.775, prior_entropy: 0.9975, recall: 0.775, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7927, scimark_benchmark: 1335.2357, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8057, f_measure: 0.7527, kappa: 0.5126, kb_relative_information_score: 395.066, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7694, predictive_accuracy: 0.754, prior_entropy: 0.9975, recall: 0.754, relative_absolute_error: 0.6287, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8084, scimark_benchmark: 1349.9109, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.774, kappa: 0.5539, kb_relative_information_score: 430.8882, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7898, predictive_accuracy: 0.775, prior_entropy: 0.9975, recall: 0.775, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7927, scimark_benchmark: 1347.7267, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.734, kappa: 0.4662, kb_relative_information_score: 427.8279, mean_absolute_error: 0.2897, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7341, predictive_accuracy: 0.734, prior_entropy: 0.9975, recall: 0.734, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9216, scimark_benchmark: 1333.9912, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.7102, kappa: 0.4188, kb_relative_information_score: 133.9837, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7151, predictive_accuracy: 0.713, prior_entropy: 0.9975, recall: 0.713, relative_absolute_error: 0.8934, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9134, scimark_benchmark: 1303.5632, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.7692, kappa: 0.5436, kb_relative_information_score: 457.3923, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7828, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7904, scimark_benchmark: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.734, kappa: 0.4662, kb_relative_information_score: 427.8279, mean_absolute_error: 0.2897, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7341, predictive_accuracy: 0.734, prior_entropy: 0.9975, recall: 0.734, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9216, scimark_benchmark: 1359.6412, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.7102, kappa: 0.4188, kb_relative_information_score: 133.9837, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7151, predictive_accuracy: 0.713, prior_entropy: 0.9975, recall: 0.713, relative_absolute_error: 0.8934, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9134, scimark_benchmark: 1404.0159, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5518, f_measure: 0.5423, kappa: 0.1061, kb_relative_information_score: 125.5408, mean_absolute_error: 0.435, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.5645, predictive_accuracy: 0.565, prior_entropy: 0.9975, recall: 0.565, relative_absolute_error: 0.8731, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6595, root_relative_squared_error: 1.3215, scimark_benchmark: 1315.5063, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.734, kappa: 0.4662, kb_relative_information_score: 427.8279, mean_absolute_error: 0.2897, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7341, predictive_accuracy: 0.734, prior_entropy: 0.9975, recall: 0.734, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9216, scimark_benchmark: 1344.4042, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs