OpenML
Supervised Classification on braziltourism

Supervised Classification on braziltourism

Task 4525 Supervised Classification braziltourism 229 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6241, f_measure: 0.7194, kappa: 0.1341, kb_relative_information_score: 244.5604, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7308, predictive_accuracy: 0.7752, prior_entropy: 0.7771, recall: 0.7752, relative_absolute_error: 0.9038, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.9887, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7005, f_measure: 0.7361, kappa: 0.1877, kb_relative_information_score: -522.4242, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7439, predictive_accuracy: 0.7806, prior_entropy: 0.7771, recall: 0.7806, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.407, root_relative_squared_error: 0.9698, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7089, f_measure: 0.7532, kappa: 0.2494, kb_relative_information_score: 446.7565, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7508, predictive_accuracy: 0.7813, prior_entropy: 0.7771, recall: 0.7813, relative_absolute_error: 0.8334, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.9562, scimark_benchmark: 934.3687, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5163, f_measure: 0.6906, kappa: 0.0479, kb_relative_information_score: 1080.8446, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7131, predictive_accuracy: 0.7716, prior_entropy: 0.7771, recall: 0.7716, relative_absolute_error: 0.6472, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4779, root_relative_squared_error: 1.1388, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5163, f_measure: 0.6906, kappa: 0.0479, kb_relative_information_score: 1080.8446, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7131, predictive_accuracy: 0.7716, prior_entropy: 0.7771, recall: 0.7716, relative_absolute_error: 0.6472, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4779, root_relative_squared_error: 1.1388, scimark_benchmark: 904.0772, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.7422, kappa: 0.2059, kb_relative_information_score: 406.853, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7556, predictive_accuracy: 0.7867, prior_entropy: 0.7771, recall: 0.7867, relative_absolute_error: 0.8465, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.9553, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.7422, kappa: 0.2059, kb_relative_information_score: 406.853, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7556, predictive_accuracy: 0.7867, prior_entropy: 0.7771, recall: 0.7867, relative_absolute_error: 0.8465, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.9553, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, f_measure: 0.7497, kappa: 0.2296, kb_relative_information_score: 554.2002, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7656, predictive_accuracy: 0.792, prior_entropy: 0.7771, recall: 0.792, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.9371, scimark_benchmark: 938.191, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6805, f_measure: 0.7409, kappa: 0.2056, kb_relative_information_score: 365.3786, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7422, predictive_accuracy: 0.7784, prior_entropy: 0.7771, recall: 0.7784, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.9703, scimark_benchmark: 941.6675, usercpu_time_millis: 7800, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 7760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6762, f_measure: 0.7624, kappa: 0.2734, kb_relative_information_score: 775.9257, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7686, predictive_accuracy: 0.7944, prior_entropy: 0.7771, recall: 0.7944, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.973, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7556, kappa: 0.2587, kb_relative_information_score: 427.8562, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7524, predictive_accuracy: 0.7816, prior_entropy: 0.7771, recall: 0.7816, relative_absolute_error: 0.8147, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.9774, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5163, f_measure: 0.6906, kappa: 0.0479, kb_relative_information_score: 1080.8446, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7131, predictive_accuracy: 0.7716, prior_entropy: 0.7771, recall: 0.7716, relative_absolute_error: 0.6472, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4779, root_relative_squared_error: 1.1388, scimark_benchmark: 936.3373, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5163, f_measure: 0.6906, kappa: 0.0479, kb_relative_information_score: 1080.8446, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7131, predictive_accuracy: 0.7716, prior_entropy: 0.7771, recall: 0.7716, relative_absolute_error: 0.6472, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4779, root_relative_squared_error: 1.1388, 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: 0.6948, f_measure: 0.7556, kappa: 0.2587, kb_relative_information_score: 427.8562, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7524, predictive_accuracy: 0.7816, prior_entropy: 0.7771, recall: 0.7816, relative_absolute_error: 0.8147, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.9774, scimark_benchmark: 947.1781, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6241, f_measure: 0.7194, kappa: 0.1341, kb_relative_information_score: 244.5604, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7308, predictive_accuracy: 0.7752, prior_entropy: 0.7771, recall: 0.7752, relative_absolute_error: 0.9038, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.9887, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7005, f_measure: 0.7361, kappa: 0.1877, kb_relative_information_score: -522.4242, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7439, predictive_accuracy: 0.7806, prior_entropy: 0.7771, recall: 0.7806, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.407, root_relative_squared_error: 0.9698, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7089, f_measure: 0.7532, kappa: 0.2494, kb_relative_information_score: 446.7565, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7508, predictive_accuracy: 0.7813, prior_entropy: 0.7771, recall: 0.7813, relative_absolute_error: 0.8334, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.9562, scimark_benchmark: 936.2574, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5163, f_measure: 0.6906, kappa: 0.0479, kb_relative_information_score: 1080.8446, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7131, predictive_accuracy: 0.7716, prior_entropy: 0.7771, recall: 0.7716, relative_absolute_error: 0.6472, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4779, root_relative_squared_error: 1.1388, scimark_benchmark: 940.1221, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.7422, kappa: 0.2059, kb_relative_information_score: 406.853, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7556, predictive_accuracy: 0.7867, prior_entropy: 0.7771, recall: 0.7867, relative_absolute_error: 0.8465, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.9553, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.7422, kappa: 0.2059, kb_relative_information_score: 406.853, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7556, predictive_accuracy: 0.7867, prior_entropy: 0.7771, recall: 0.7867, relative_absolute_error: 0.8465, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.9553, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.7422, kappa: 0.2059, kb_relative_information_score: 406.853, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7556, predictive_accuracy: 0.7867, prior_entropy: 0.7771, recall: 0.7867, relative_absolute_error: 0.8465, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.9553, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, f_measure: 0.7497, kappa: 0.2296, kb_relative_information_score: 554.2002, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7656, predictive_accuracy: 0.792, prior_entropy: 0.7771, recall: 0.792, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.9371, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6805, f_measure: 0.7409, kappa: 0.2056, kb_relative_information_score: 365.3786, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7422, predictive_accuracy: 0.7784, prior_entropy: 0.7771, recall: 0.7784, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.9703, scimark_benchmark: 938.4601, usercpu_time_millis: 5610, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 5560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.7422, kappa: 0.2059, kb_relative_information_score: 406.853, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7556, predictive_accuracy: 0.7867, prior_entropy: 0.7771, recall: 0.7867, relative_absolute_error: 0.8465, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.9553, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6762, f_measure: 0.7624, kappa: 0.2734, kb_relative_information_score: 775.9257, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7686, predictive_accuracy: 0.7944, prior_entropy: 0.7771, recall: 0.7944, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.973, scimark_benchmark: 945.6228, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7556, kappa: 0.2587, kb_relative_information_score: 427.8562, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7524, predictive_accuracy: 0.7816, prior_entropy: 0.7771, recall: 0.7816, relative_absolute_error: 0.8147, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.9774, scimark_benchmark: 938.988, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.7418, kappa: 0.2029, kb_relative_information_score: 359.0714, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7802, predictive_accuracy: 0.7949, prior_entropy: 0.7771, recall: 0.7949, relative_absolute_error: 0.8874, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.939, scimark_benchmark: 943.6618, usercpu_time_millis: 2560, usercpu_time_millis_testing: 950, usercpu_time_millis_training: 1610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, f_measure: 0.7418, kappa: 0.203, kb_relative_information_score: 363.9268, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7773, predictive_accuracy: 0.7942, prior_entropy: 0.7771, recall: 0.7942, relative_absolute_error: 0.8857, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.9388, scimark_benchmark: 932.438, usercpu_time_millis: 1070, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7117, f_measure: 0.74, kappa: 0.1973, kb_relative_information_score: 366.635, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7765, predictive_accuracy: 0.7934, prior_entropy: 0.7771, recall: 0.7934, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.9404, scimark_benchmark: 938.4601, usercpu_time_millis: 550, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.7432, kappa: 0.2073, kb_relative_information_score: 354.6968, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7776, predictive_accuracy: 0.7947, prior_entropy: 0.7771, recall: 0.7947, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.9422, scimark_benchmark: 938.3401, usercpu_time_millis: 280, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, f_measure: 0.7373, kappa: 0.1893, kb_relative_information_score: 329.8617, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7598, predictive_accuracy: 0.7879, prior_entropy: 0.7771, recall: 0.7879, relative_absolute_error: 0.8889, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.9486, scimark_benchmark: 921.466, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.7444, kappa: 0.2219, kb_relative_information_score: 535.7555, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7405, predictive_accuracy: 0.7745, prior_entropy: 0.7771, recall: 0.7745, relative_absolute_error: 0.805, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.9787, scimark_benchmark: 889.4922, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.7444, kappa: 0.2219, kb_relative_information_score: 535.7555, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7405, predictive_accuracy: 0.7745, prior_entropy: 0.7771, recall: 0.7745, relative_absolute_error: 0.805, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.9787, scimark_benchmark: 941.9549, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6977, f_measure: 0.7444, kappa: 0.2217, kb_relative_information_score: 540.8311, mean_absolute_error: 0.2838, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7407, predictive_accuracy: 0.7748, prior_entropy: 0.7771, recall: 0.7748, relative_absolute_error: 0.8042, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9773, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7023, f_measure: 0.7429, kappa: 0.2145, kb_relative_information_score: 536.3972, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7409, predictive_accuracy: 0.7762, prior_entropy: 0.7771, recall: 0.7762, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.967, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6972, f_measure: 0.741, kappa: 0.2064, kb_relative_information_score: 483.9428, mean_absolute_error: 0.2924, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7414, predictive_accuracy: 0.7777, prior_entropy: 0.7771, recall: 0.7777, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.9612, scimark_benchmark: 929.0296,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.7352, kappa: 0.1826, kb_relative_information_score: 1318.9302, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7783, predictive_accuracy: 0.7925, prior_entropy: 0.7771, recall: 0.7925, relative_absolute_error: 0.6005, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4384, root_relative_squared_error: 1.0448, scimark_benchmark: 938.3115, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6762, f_measure: 0.7624, kappa: 0.2734, kb_relative_information_score: 775.9257, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7686, predictive_accuracy: 0.7944, prior_entropy: 0.7771, recall: 0.7944, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.973, scimark_benchmark: 1331.7953, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5163, f_measure: 0.6906, kappa: 0.0479, kb_relative_information_score: 1080.8446, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7131, predictive_accuracy: 0.7716, prior_entropy: 0.7771, recall: 0.7716, relative_absolute_error: 0.6472, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4779, root_relative_squared_error: 1.1388, scimark_benchmark: 1350.2591, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, f_measure: 0.7497, kappa: 0.2296, kb_relative_information_score: 554.2002, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7656, predictive_accuracy: 0.792, prior_entropy: 0.7771, recall: 0.792, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.9371, scimark_benchmark: 1350.2591, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6762, f_measure: 0.7624, kappa: 0.2734, kb_relative_information_score: 775.9257, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7686, predictive_accuracy: 0.7944, prior_entropy: 0.7771, recall: 0.7944, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.973, scimark_benchmark: 1375.1578, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7556, kappa: 0.2587, kb_relative_information_score: 427.8562, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7524, predictive_accuracy: 0.7816, prior_entropy: 0.7771, recall: 0.7816, relative_absolute_error: 0.8147, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.9774, scimark_benchmark: 1317.2327, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6802, f_measure: 0.7363, kappa: 0.1874, kb_relative_information_score: 337.5499, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7494, predictive_accuracy: 0.7835, prior_entropy: 0.7771, recall: 0.7835, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.403, root_relative_squared_error: 0.9604, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.7422, kappa: 0.2059, kb_relative_information_score: 406.853, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7556, predictive_accuracy: 0.7867, prior_entropy: 0.7771, recall: 0.7867, relative_absolute_error: 0.8465, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.9553, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.7422, kappa: 0.2059, kb_relative_information_score: 406.853, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7556, predictive_accuracy: 0.7867, prior_entropy: 0.7771, recall: 0.7867, relative_absolute_error: 0.8465, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.9553, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6805, f_measure: 0.7409, kappa: 0.2056, kb_relative_information_score: 365.3762, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7422, predictive_accuracy: 0.7784, prior_entropy: 0.7771, recall: 0.7784, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.9703, scimark_benchmark: 1313.9976, usercpu_time_millis: 3450, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.7422, kappa: 0.2059, kb_relative_information_score: 406.853, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7556, predictive_accuracy: 0.7867, prior_entropy: 0.7771, recall: 0.7867, relative_absolute_error: 0.8465, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.9553, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6241, f_measure: 0.7194, kappa: 0.1341, kb_relative_information_score: 244.5604, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7308, predictive_accuracy: 0.7752, prior_entropy: 0.7771, recall: 0.7752, relative_absolute_error: 0.9038, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.9887, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6802, f_measure: 0.7363, kappa: 0.1874, kb_relative_information_score: 337.5499, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7494, predictive_accuracy: 0.7835, prior_entropy: 0.7771, recall: 0.7835, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.403, root_relative_squared_error: 0.9604, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.7422, kappa: 0.2059, kb_relative_information_score: 406.853, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.3529, number_of_instances: 4120, precision: 0.7556, predictive_accuracy: 0.7867, prior_entropy: 0.7771, recall: 0.7867, relative_absolute_error: 0.8465, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.9553, scimark_benchmark: 1332.7986,

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