Task
Supervised Classification on pasture

Supervised Classification on pasture

Task 3059 Supervised Classification pasture 309 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9177, kappa: 0.8451, kb_relative_information_score: 9, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9545, predictive_accuracy: 0.9091, prior_entropy: 1.585, recall: 0.9091, relative_absolute_error: 0.2045, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.5839, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.9177, kappa: 0.8451, kb_relative_information_score: 9.2284, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9545, predictive_accuracy: 0.9091, prior_entropy: 1.585, recall: 0.9091, relative_absolute_error: 0.1906, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5414, scimark_benchmark: 851.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0152, kb_relative_information_score: -2.6907, mean_absolute_error: 0.6061, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.0083, predictive_accuracy: 0.0909, prior_entropy: 1.585, recall: 0.0909, relative_absolute_error: 1.3636, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7785, root_relative_squared_error: 1.6514, scimark_benchmark: 931.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8292, kappa: 0.6986, kb_relative_information_score: 7.395, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8636, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.7027, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8292, kappa: 0.6986, kb_relative_information_score: 7.395, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8636, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.7027, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.6944, kappa: 0.5417, kb_relative_information_score: 4.371, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8615, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.7077, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8508, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8292, kappa: 0.6986, kb_relative_information_score: 7.395, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8636, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.7027, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0152, kb_relative_information_score: -2.6907, mean_absolute_error: 0.6061, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.0083, predictive_accuracy: 0.0909, prior_entropy: 1.585, recall: 0.0909, relative_absolute_error: 1.3636, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7785, root_relative_squared_error: 1.6514, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7491, kappa: 0.5658, kb_relative_information_score: 6.9621, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8182, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7545, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8292, kappa: 0.6986, kb_relative_information_score: 7.395, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8636, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.7027, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8292, kappa: 0.6986, kb_relative_information_score: 7.395, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8636, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.7027, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.6534, kappa: 0.443, kb_relative_information_score: 6.3785, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.75, predictive_accuracy: 0.6364, prior_entropy: 1.585, recall: 0.6364, relative_absolute_error: 0.4527, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.7917, scimark_benchmark: 936.3373, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.8333, kappa: 0.7027, kb_relative_information_score: 5.724, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9394, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7539, scimark_benchmark: 947.1781, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9177, kappa: 0.8451, kb_relative_information_score: 9, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9545, predictive_accuracy: 0.9091, prior_entropy: 1.585, recall: 0.9091, relative_absolute_error: 0.2045, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.5839, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.9177, kappa: 0.8451, kb_relative_information_score: 9.2284, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9545, predictive_accuracy: 0.9091, prior_entropy: 1.585, recall: 0.9091, relative_absolute_error: 0.1906, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5414, scimark_benchmark: 906.5979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0152, kb_relative_information_score: -2.6907, mean_absolute_error: 0.6061, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.0083, predictive_accuracy: 0.0909, prior_entropy: 1.585, recall: 0.0909, relative_absolute_error: 1.3636, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7785, root_relative_squared_error: 1.6514, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0152, kb_relative_information_score: -2.6907, mean_absolute_error: 0.6061, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.0083, predictive_accuracy: 0.0909, prior_entropy: 1.585, recall: 0.0909, relative_absolute_error: 1.3636, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7785, root_relative_squared_error: 1.6514, scimark_benchmark: 919.3788, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8292, kappa: 0.6986, kb_relative_information_score: 7.395, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8636, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.7027, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8292, kappa: 0.6986, kb_relative_information_score: 7.395, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8636, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.7027, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8292, kappa: 0.6986, kb_relative_information_score: 7.395, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8636, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.7027, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.6944, kappa: 0.5417, kb_relative_information_score: 4.371, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8615, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.7077, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8508, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8292, kappa: 0.6986, kb_relative_information_score: 7.395, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8636, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.7027, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.6534, kappa: 0.443, kb_relative_information_score: 6.3785, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.75, predictive_accuracy: 0.6364, prior_entropy: 1.585, recall: 0.6364, relative_absolute_error: 0.4527, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.7917, scimark_benchmark: 934.695, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.8333, kappa: 0.7027, kb_relative_information_score: 5.724, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9394, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7539, scimark_benchmark: 1051.249, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7491, kappa: 0.5658, kb_relative_information_score: 5.7338, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8182, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.5705, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.7557, scimark_benchmark: 938.988, usercpu_time_millis: 600, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7491, kappa: 0.5658, kb_relative_information_score: 5.531, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8182, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.5977, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.7607, scimark_benchmark: 934.695, usercpu_time_millis: 230, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7491, kappa: 0.5658, kb_relative_information_score: 5.765, mean_absolute_error: 0.2475, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8182, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7656, scimark_benchmark: 939.7241, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.6212, kappa: 0.4054, kb_relative_information_score: 5.4126, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.6667, predictive_accuracy: 0.6364, prior_entropy: 1.585, recall: 0.6364, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.765, scimark_benchmark: 914.3583, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8333, kappa: 0.7027, kb_relative_information_score: 6.4927, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9394, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.4932, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.7066, scimark_benchmark: 889.4922, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8333, kappa: 0.7027, kb_relative_information_score: 6.4927, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9394, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.4932, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.7066, scimark_benchmark: 936.7184, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0152, kb_relative_information_score: -0.479, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.0083, predictive_accuracy: 0.0909, prior_entropy: 1.585, recall: 0.0909, relative_absolute_error: 1.0617, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0713, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9177, kappa: 0.8451, kb_relative_information_score: 9.6309, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9545, predictive_accuracy: 0.9091, prior_entropy: 1.585, recall: 0.9091, relative_absolute_error: 0.1364, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.5222, scimark_benchmark: 936.7286, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9177, kappa: 0.8451, kb_relative_information_score: 9.6298, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9545, predictive_accuracy: 0.9091, prior_entropy: 1.585, recall: 0.9091, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.5222, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.8333, kappa: 0.7027, kb_relative_information_score: 8.2824, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9394, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.2697, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.7303, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.8333, kappa: 0.7027, kb_relative_information_score: 8.3679, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9394, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.2578, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6948, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.8333, kappa: 0.7027, kb_relative_information_score: 8.1174, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9394, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.2941, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.7333, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0152, kb_relative_information_score: -2.6907, mean_absolute_error: 0.6061, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.0083, predictive_accuracy: 0.0909, prior_entropy: 1.585, recall: 0.0909, relative_absolute_error: 1.3636, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7785, root_relative_squared_error: 1.6514, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9177, kappa: 0.8451, kb_relative_information_score: 8.1932, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9545, predictive_accuracy: 0.9091, prior_entropy: 1.585, recall: 0.9091, relative_absolute_error: 0.3104, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.6281, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8333, kappa: 0.7027, kb_relative_information_score: 5.9274, mean_absolute_error: 0.2475, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9394, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.7202, scimark_benchmark: 935.6052, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.9177, kappa: 0.8451, kb_relative_information_score: 9.2284, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9545, predictive_accuracy: 0.9091, prior_entropy: 1.585, recall: 0.9091, relative_absolute_error: 0.1906, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5414, scimark_benchmark: 1345.6844, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7491, kappa: 0.5658, kb_relative_information_score: 6.9621, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8182, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7545, scimark_benchmark: 1327.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8292, kappa: 0.6986, kb_relative_information_score: 7.395, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8636, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.7027, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8292, kappa: 0.6986, kb_relative_information_score: 7.395, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8636, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.7027, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8292, kappa: 0.6986, kb_relative_information_score: 7.395, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8636, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.7027, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.6944, kappa: 0.5417, kb_relative_information_score: 4.371, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8615, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.7077, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8508, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.6534, kappa: 0.443, kb_relative_information_score: 6.3785, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.75, predictive_accuracy: 0.6364, prior_entropy: 1.585, recall: 0.6364, relative_absolute_error: 0.4527, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.7917, scimark_benchmark: 1311.5017, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.8333, kappa: 0.7027, kb_relative_information_score: 5.724, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9394, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7539, scimark_benchmark: 1313.8988, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9177, kappa: 0.8451, kb_relative_information_score: 9, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9545, predictive_accuracy: 0.9091, prior_entropy: 1.585, recall: 0.9091, relative_absolute_error: 0.2045, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.5839, scimark_benchmark: 1292.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.7273, kappa: 0.5714, kb_relative_information_score: 7.5772, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9318, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.351, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6639, scimark_benchmark: 1331.8682, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.9177, kappa: 0.8451, kb_relative_information_score: 9.2284, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9545, predictive_accuracy: 0.9091, prior_entropy: 1.585, recall: 0.9091, relative_absolute_error: 0.1906, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5414, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8065, kappa: 0.6812, kb_relative_information_score: 7.483, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8766, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.6751, scimark_benchmark: 1345.7919, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0152, kb_relative_information_score: -2.6907, mean_absolute_error: 0.6061, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.0083, predictive_accuracy: 0.0909, prior_entropy: 1.585, recall: 0.0909, relative_absolute_error: 1.3636, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7785, root_relative_squared_error: 1.6514, scimark_benchmark: 1340.5125, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.6944, kappa: 0.5417, kb_relative_information_score: 4.371, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8615, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.7077, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8508, scimark_benchmark: 1330.4755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8292, kappa: 0.6986, kb_relative_information_score: 7.395, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8636, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.7027, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.6534, kappa: 0.443, kb_relative_information_score: 6.3785, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.75, predictive_accuracy: 0.6364, prior_entropy: 1.585, recall: 0.6364, relative_absolute_error: 0.4527, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.7917, scimark_benchmark: 1319.952, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.8333, kappa: 0.7027, kb_relative_information_score: 5.724, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9394, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7539, scimark_benchmark: 1344.3409, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8292, kappa: 0.6986, kb_relative_information_score: 7.395, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8636, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.7027, scimark_benchmark: 1336.2908,

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