Task
Supervised Classification on baskball

Supervised Classification on baskball

Task 4302 Supervised Classification baskball 206 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.6943, kappa: 0.3906, kb_relative_information_score: 0.299, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4998, weighted_recall: 0.6948, number_of_instances: 960, precision: 0.6975, predictive_accuracy: 0.6948, prior_entropy: 0.9997, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9271, scimark_benchmark: 931.1106, unweighted_recall: 0.6957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7798, f_measure: 0.7107, kappa: 0.4216, kb_relative_information_score: 0.3099, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.4998, weighted_recall: 0.7115, number_of_instances: 960, precision: 0.7125, predictive_accuracy: 0.7115, prior_entropy: 0.9997, relative_absolute_error: 0.7158, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8758, scimark_benchmark: 979.7764, unweighted_recall: 0.7104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6608, f_measure: 0.7236, kappa: 0.4517, kb_relative_information_score: 261.1922, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7324, predictive_accuracy: 0.725, prior_entropy: 0.9997, recall: 0.725, relative_absolute_error: 0.7644, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9022, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7441, f_measure: 0.7114, kappa: 0.4225, kb_relative_information_score: 259.4717, mean_absolute_error: 0.3759, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7114, predictive_accuracy: 0.7115, prior_entropy: 0.9997, recall: 0.7115, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4575, root_relative_squared_error: 0.9151, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, f_measure: 0.6698, kappa: 0.3397, kb_relative_information_score: 254.3925, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.6701, predictive_accuracy: 0.6698, prior_entropy: 0.9997, recall: 0.6698, relative_absolute_error: 0.748, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5132, root_relative_squared_error: 1.0266, scimark_benchmark: 934.3687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5778, f_measure: 0.5746, kappa: 0.1564, kb_relative_information_score: 153.5035, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.582, predictive_accuracy: 0.5802, prior_entropy: 0.9997, recall: 0.5802, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6479, root_relative_squared_error: 1.2961, scimark_benchmark: 931.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5778, f_measure: 0.5746, kappa: 0.1564, kb_relative_information_score: 153.5035, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.582, predictive_accuracy: 0.5802, prior_entropy: 0.9997, recall: 0.5802, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6479, root_relative_squared_error: 1.2961, scimark_benchmark: 944.1067, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6612, f_measure: 0.7236, kappa: 0.4517, kb_relative_information_score: 256.7815, mean_absolute_error: 0.3845, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7324, predictive_accuracy: 0.725, prior_entropy: 0.9997, recall: 0.725, relative_absolute_error: 0.7693, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9011, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.7354, kappa: 0.4711, kb_relative_information_score: 293.2426, mean_absolute_error: 0.3624, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7361, predictive_accuracy: 0.7354, prior_entropy: 0.9997, recall: 0.7354, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.8872, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, f_measure: 0.7048, kappa: 0.4094, kb_relative_information_score: 277.4047, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7056, predictive_accuracy: 0.7052, prior_entropy: 0.9997, recall: 0.7052, relative_absolute_error: 0.7381, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8773, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.7203, kappa: 0.4427, kb_relative_information_score: 262.3819, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7243, predictive_accuracy: 0.7208, prior_entropy: 0.9997, recall: 0.7208, relative_absolute_error: 0.7593, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9113, scimark_benchmark: 927.2917, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5778, f_measure: 0.5746, kappa: 0.1564, kb_relative_information_score: 153.5035, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.582, predictive_accuracy: 0.5802, prior_entropy: 0.9997, recall: 0.5802, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6479, root_relative_squared_error: 1.2961, scimark_benchmark: 938.5498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5778, f_measure: 0.5746, kappa: 0.1564, kb_relative_information_score: 153.5035, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.582, predictive_accuracy: 0.5802, prior_entropy: 0.9997, recall: 0.5802, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6479, root_relative_squared_error: 1.2961, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.6943, kappa: 0.3906, kb_relative_information_score: 287.0802, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.6975, predictive_accuracy: 0.6948, prior_entropy: 0.9997, recall: 0.6948, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9271, scimark_benchmark: 937.5117, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6608, f_measure: 0.7236, kappa: 0.4517, kb_relative_information_score: 261.1922, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7324, predictive_accuracy: 0.725, prior_entropy: 0.9997, recall: 0.725, relative_absolute_error: 0.7644, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9022, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.7045, kappa: 0.4092, kb_relative_information_score: 393.6477, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7061, predictive_accuracy: 0.7052, prior_entropy: 0.9997, recall: 0.7052, relative_absolute_error: 0.5898, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5429, root_relative_squared_error: 1.0861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7441, f_measure: 0.7114, kappa: 0.4225, kb_relative_information_score: 259.4717, mean_absolute_error: 0.3759, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7114, predictive_accuracy: 0.7115, prior_entropy: 0.9997, recall: 0.7115, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4575, root_relative_squared_error: 0.9151, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, f_measure: 0.6698, kappa: 0.3397, kb_relative_information_score: 254.3925, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.6701, predictive_accuracy: 0.6698, prior_entropy: 0.9997, recall: 0.6698, relative_absolute_error: 0.748, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5132, root_relative_squared_error: 1.0266, scimark_benchmark: 936.2574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5778, f_measure: 0.5746, kappa: 0.1564, kb_relative_information_score: 153.5035, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.582, predictive_accuracy: 0.5802, prior_entropy: 0.9997, recall: 0.5802, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6479, root_relative_squared_error: 1.2961, scimark_benchmark: 931.7096, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5778, f_measure: 0.5746, kappa: 0.1564, kb_relative_information_score: 153.5035, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.582, predictive_accuracy: 0.5802, prior_entropy: 0.9997, recall: 0.5802, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6479, root_relative_squared_error: 1.2961, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6612, f_measure: 0.7236, kappa: 0.4517, kb_relative_information_score: 256.7815, mean_absolute_error: 0.3845, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7324, predictive_accuracy: 0.725, prior_entropy: 0.9997, recall: 0.725, relative_absolute_error: 0.7693, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9011, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6612, f_measure: 0.7236, kappa: 0.4517, kb_relative_information_score: 256.7815, mean_absolute_error: 0.3845, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7324, predictive_accuracy: 0.725, prior_entropy: 0.9997, recall: 0.725, relative_absolute_error: 0.7693, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9011, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6612, f_measure: 0.7236, kappa: 0.4517, kb_relative_information_score: 256.7815, mean_absolute_error: 0.3845, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7324, predictive_accuracy: 0.725, prior_entropy: 0.9997, recall: 0.725, relative_absolute_error: 0.7693, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9011, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.7354, kappa: 0.4711, kb_relative_information_score: 293.2426, mean_absolute_error: 0.3624, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7361, predictive_accuracy: 0.7354, prior_entropy: 0.9997, recall: 0.7354, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.8872, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, f_measure: 0.7048, kappa: 0.4094, kb_relative_information_score: 277.4047, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7056, predictive_accuracy: 0.7052, prior_entropy: 0.9997, recall: 0.7052, relative_absolute_error: 0.7381, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8773, scimark_benchmark: 1051.249, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6612, f_measure: 0.7236, kappa: 0.4517, kb_relative_information_score: 256.7815, mean_absolute_error: 0.3845, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7324, predictive_accuracy: 0.725, prior_entropy: 0.9997, recall: 0.725, relative_absolute_error: 0.7693, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9011, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.7203, kappa: 0.4427, kb_relative_information_score: 262.3819, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7243, predictive_accuracy: 0.7208, prior_entropy: 0.9997, recall: 0.7208, relative_absolute_error: 0.7593, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9113, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.6943, kappa: 0.3906, kb_relative_information_score: 287.0802, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.6975, predictive_accuracy: 0.6948, prior_entropy: 0.9997, recall: 0.6948, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9271, scimark_benchmark: 941.4991, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7644, f_measure: 0.7177, kappa: 0.4357, kb_relative_information_score: 242.5305, mean_absolute_error: 0.3891, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7184, predictive_accuracy: 0.7177, prior_entropy: 0.9997, recall: 0.7177, relative_absolute_error: 0.7785, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.8889, scimark_benchmark: 1051.249, usercpu_time_millis: 440, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, f_measure: 0.7104, kappa: 0.4212, kb_relative_information_score: 238.8204, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7114, predictive_accuracy: 0.7104, prior_entropy: 0.9997, recall: 0.7104, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.8928, scimark_benchmark: 933.4823, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7606, f_measure: 0.7156, kappa: 0.4317, kb_relative_information_score: 246.0741, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7166, predictive_accuracy: 0.7156, prior_entropy: 0.9997, recall: 0.7156, relative_absolute_error: 0.775, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8916, scimark_benchmark: 929.7512, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7596, f_measure: 0.7031, kappa: 0.4067, kb_relative_information_score: 239.0671, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7041, predictive_accuracy: 0.7031, prior_entropy: 0.9997, recall: 0.7031, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.8959, scimark_benchmark: 938.8535, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.703, kappa: 0.4068, kb_relative_information_score: 243.8899, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7044, predictive_accuracy: 0.7031, prior_entropy: 0.9997, recall: 0.7031, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4484, root_relative_squared_error: 0.8969, scimark_benchmark: 936.8729, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7317, f_measure: 0.7137, kappa: 0.4293, kb_relative_information_score: 295.6682, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7193, predictive_accuracy: 0.7156, prior_entropy: 0.9997, recall: 0.7156, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.922, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7317, f_measure: 0.7137, kappa: 0.4293, kb_relative_information_score: 295.6682, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7193, predictive_accuracy: 0.7156, prior_entropy: 0.9997, recall: 0.7156, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.922, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7317, f_measure: 0.7137, kappa: 0.4293, kb_relative_information_score: 295.6682, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7193, predictive_accuracy: 0.7156, prior_entropy: 0.9997, recall: 0.7156, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.922, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7317, f_measure: 0.7137, kappa: 0.4293, kb_relative_information_score: 295.6682, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7193, predictive_accuracy: 0.7156, prior_entropy: 0.9997, recall: 0.7156, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.922, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7316, f_measure: 0.7137, kappa: 0.4293, kb_relative_information_score: 295.5812, mean_absolute_error: 0.3592, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7193, predictive_accuracy: 0.7156, prior_entropy: 0.9997, recall: 0.7156, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9221, scimark_benchmark: 929.0296,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, f_measure: 0.7048, kappa: 0.4094, kb_relative_information_score: 277.4047, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7056, predictive_accuracy: 0.7052, prior_entropy: 0.9997, recall: 0.7052, relative_absolute_error: 0.7381, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8773, scimark_benchmark: 1319.952, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6612, f_measure: 0.7236, kappa: 0.4517, kb_relative_information_score: 256.7815, mean_absolute_error: 0.3845, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7324, predictive_accuracy: 0.725, prior_entropy: 0.9997, recall: 0.725, relative_absolute_error: 0.7693, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9011, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.6943, kappa: 0.3906, kb_relative_information_score: 287.0802, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.6975, predictive_accuracy: 0.6948, prior_entropy: 0.9997, recall: 0.6948, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9271, scimark_benchmark: 1354.5533, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.7203, kappa: 0.4427, kb_relative_information_score: 262.3819, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7243, predictive_accuracy: 0.7208, prior_entropy: 0.9997, recall: 0.7208, relative_absolute_error: 0.7593, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9113, scimark_benchmark: 1335.3312, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.6943, kappa: 0.3906, kb_relative_information_score: 287.0802, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.6975, predictive_accuracy: 0.6948, prior_entropy: 0.9997, recall: 0.6948, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9271, scimark_benchmark: 1330.9181, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.7176, kappa: 0.439, kb_relative_information_score: 270.4627, mean_absolute_error: 0.3758, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7246, predictive_accuracy: 0.7188, prior_entropy: 0.9997, recall: 0.7188, relative_absolute_error: 0.7519, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.8999, scimark_benchmark: 1318.3027, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7441, f_measure: 0.7114, kappa: 0.4225, kb_relative_information_score: 259.4717, mean_absolute_error: 0.3759, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7114, predictive_accuracy: 0.7115, prior_entropy: 0.9997, recall: 0.7115, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4575, root_relative_squared_error: 0.9151, scimark_benchmark: 1364.991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.71, f_measure: 0.6896, kappa: 0.3788, kb_relative_information_score: 299.7955, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.6895, predictive_accuracy: 0.6896, prior_entropy: 0.9997, recall: 0.6896, relative_absolute_error: 0.7004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0015, scimark_benchmark: 1256.2802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.7274, kappa: 0.4551, kb_relative_information_score: 276.3501, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7292, predictive_accuracy: 0.7281, prior_entropy: 0.9997, recall: 0.7281, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.8986, scimark_benchmark: 1318.6467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.6688, kappa: 0.3376, kb_relative_information_score: 252.7793, mean_absolute_error: 0.3746, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.6691, predictive_accuracy: 0.6688, prior_entropy: 0.9997, recall: 0.6688, relative_absolute_error: 0.7495, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.514, root_relative_squared_error: 1.0282, scimark_benchmark: 1319.5773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5778, f_measure: 0.5746, kappa: 0.1564, kb_relative_information_score: 153.5035, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.582, predictive_accuracy: 0.5802, prior_entropy: 0.9997, recall: 0.5802, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6479, root_relative_squared_error: 1.2961, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5778, f_measure: 0.5746, kappa: 0.1564, kb_relative_information_score: 153.5035, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.582, predictive_accuracy: 0.5802, prior_entropy: 0.9997, recall: 0.5802, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6479, root_relative_squared_error: 1.2961, scimark_benchmark: 1280.9535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6612, f_measure: 0.7236, kappa: 0.4517, kb_relative_information_score: 256.1558, mean_absolute_error: 0.3848, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7324, predictive_accuracy: 0.725, prior_entropy: 0.9997, recall: 0.725, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9009, scimark_benchmark: 1333.9912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6612, f_measure: 0.7236, kappa: 0.4517, kb_relative_information_score: 256.7815, mean_absolute_error: 0.3845, mean_prior_absolute_error: 0.4998, number_of_instances: 960, precision: 0.7324, predictive_accuracy: 0.725, prior_entropy: 0.9997, recall: 0.725, relative_absolute_error: 0.7693, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9011, scimark_benchmark: 1332.9478,

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