Task
Supervised Classification on letter

Supervised Classification on letter

Task 236 Supervised Classification letter 182 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9479, kappa: 0.9458, kb_relative_information_score: 5646.8288, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.9486, predictive_accuracy: 0.9479, prior_entropy: 4.6998, recall: 0.9479, relative_absolute_error: 0.3224, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.4387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.7708, kappa: 0.7611, kb_relative_information_score: 5204.1161, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.7727, predictive_accuracy: 0.7703, prior_entropy: 4.6998, recall: 0.7703, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.6207, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.4865, kappa: 0.4944, kb_relative_information_score: 3324.8924, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.5011, predictive_accuracy: 0.5139, prior_entropy: 4.6998, recall: 0.5139, relative_absolute_error: 0.736, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.8235, scimark_benchmark: 851.2074, usercpu_time_millis: 60060, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 59970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9661, kappa: 0.9647, kb_relative_information_score: 6372.4932, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.9664, predictive_accuracy: 0.9661, prior_entropy: 4.6998, recall: 0.9661, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.2657, scimark_benchmark: 941.6675, usercpu_time_millis: 106570, usercpu_time_millis_testing: 54630, usercpu_time_millis_training: 51940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9009, kappa: 0.8966, kb_relative_information_score: 6039.3136, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.903, predictive_accuracy: 0.9006, prior_entropy: 4.6998, recall: 0.9006, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.382, scimark_benchmark: 941.6675, usercpu_time_millis: 940, usercpu_time_millis_testing: 560, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9009, kappa: 0.8966, kb_relative_information_score: 6039.3136, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.903, predictive_accuracy: 0.9006, prior_entropy: 4.6998, recall: 0.9006, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.382, scimark_benchmark: 941.6675, usercpu_time_millis: 1160, usercpu_time_millis_testing: 670, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.8877, kappa: 0.8827, kb_relative_information_score: 5763.8699, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.8898, predictive_accuracy: 0.8873, prior_entropy: 4.6998, recall: 0.8873, relative_absolute_error: 0.2411, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.4327, scimark_benchmark: 941.6675, usercpu_time_millis: 4370, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 4130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9009, kappa: 0.8966, kb_relative_information_score: 6039.3136, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.903, predictive_accuracy: 0.9006, prior_entropy: 4.6998, recall: 0.9006, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.382, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.843, kappa: 0.8363, kb_relative_information_score: 5122.7531, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.8445, predictive_accuracy: 0.8426, prior_entropy: 4.6998, recall: 0.8426, relative_absolute_error: 0.3463, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.5313, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9545, kappa: 0.9526, kb_relative_information_score: 5998.2056, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.955, predictive_accuracy: 0.9544, prior_entropy: 4.6998, recall: 0.9544, relative_absolute_error: 0.2018, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0681, root_relative_squared_error: 0.3542, scimark_benchmark: 931.771, usercpu_time_millis: 13750, usercpu_time_millis_testing: 2200, usercpu_time_millis_training: 11550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9661, kappa: 0.9647, kb_relative_information_score: 6372.4932, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.9664, predictive_accuracy: 0.9661, prior_entropy: 4.6998, recall: 0.9661, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.2657, scimark_benchmark: 937.5117, usercpu_time_millis: 109710, usercpu_time_millis_testing: 57350, usercpu_time_millis_training: 52360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9009, kappa: 0.8966, kb_relative_information_score: 6039.3136, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.903, predictive_accuracy: 0.9006, prior_entropy: 4.6998, recall: 0.9006, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.382, scimark_benchmark: 974.2014, usercpu_time_millis: 1280, usercpu_time_millis_testing: 680, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.843, kappa: 0.8363, kb_relative_information_score: 5122.7531, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.8445, predictive_accuracy: 0.8426, prior_entropy: 4.6998, recall: 0.8426, relative_absolute_error: 0.3463, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.5313, scimark_benchmark: 943.1009, usercpu_time_millis: 175040, usercpu_time_millis_testing: 7630, usercpu_time_millis_training: 167410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9545, kappa: 0.9526, kb_relative_information_score: 5998.2056, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.955, predictive_accuracy: 0.9544, prior_entropy: 4.6998, recall: 0.9544, relative_absolute_error: 0.2018, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0681, root_relative_squared_error: 0.3542, scimark_benchmark: 943.1009, usercpu_time_millis: 15250, usercpu_time_millis_testing: 2080, usercpu_time_millis_training: 13170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.7708, kappa: 0.7611, kb_relative_information_score: 5204.1161, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.7727, predictive_accuracy: 0.7703, prior_entropy: 4.6998, recall: 0.7703, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.6207, scimark_benchmark: 819.5729, usercpu_time_millis: 810, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.4865, kappa: 0.4944, kb_relative_information_score: 3324.8924, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.5011, predictive_accuracy: 0.5139, prior_entropy: 4.6998, recall: 0.5139, relative_absolute_error: 0.736, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.8235, scimark_benchmark: 936.2574, usercpu_time_millis: 57270, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 57180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9661, kappa: 0.9647, kb_relative_information_score: 6372.4932, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.9664, predictive_accuracy: 0.9661, prior_entropy: 4.6998, recall: 0.9661, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.2657, scimark_benchmark: 859.5223, usercpu_time_millis: 101020, usercpu_time_millis_testing: 55760, usercpu_time_millis_training: 45260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9009, kappa: 0.8966, kb_relative_information_score: 6039.3136, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.903, predictive_accuracy: 0.9006, prior_entropy: 4.6998, recall: 0.9006, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.382, scimark_benchmark: 903.2737, usercpu_time_millis: 1260, usercpu_time_millis_testing: 890, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9009, kappa: 0.8966, kb_relative_information_score: 6039.3136, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.903, predictive_accuracy: 0.9006, prior_entropy: 4.6998, recall: 0.9006, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.382, scimark_benchmark: 941.4991, usercpu_time_millis: 870, usercpu_time_millis_testing: 570, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.8877, kappa: 0.8827, kb_relative_information_score: 5763.8699, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.8898, predictive_accuracy: 0.8873, prior_entropy: 4.6998, recall: 0.8873, relative_absolute_error: 0.2411, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.4327, scimark_benchmark: 941.4991, usercpu_time_millis: 3610, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 3430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9009, kappa: 0.8966, kb_relative_information_score: 6039.3136, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.903, predictive_accuracy: 0.9006, prior_entropy: 4.6998, recall: 0.9006, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.382, scimark_benchmark: 945.6228, usercpu_time_millis: 920, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.843, kappa: 0.8363, kb_relative_information_score: 5122.7531, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.8445, predictive_accuracy: 0.8426, prior_entropy: 4.6998, recall: 0.8426, relative_absolute_error: 0.3463, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.5313, scimark_benchmark: 941.4991, usercpu_time_millis: 177270, usercpu_time_millis_testing: 7320, usercpu_time_millis_training: 169950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9545, kappa: 0.9526, kb_relative_information_score: 5998.2056, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.955, predictive_accuracy: 0.9544, prior_entropy: 4.6998, recall: 0.9544, relative_absolute_error: 0.2018, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0681, root_relative_squared_error: 0.3542, scimark_benchmark: 936.9595, usercpu_time_millis: 16090, usercpu_time_millis_testing: 2150, usercpu_time_millis_training: 13940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9635, kappa: 0.962, kb_relative_information_score: 5975.4757, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.9639, predictive_accuracy: 0.9635, prior_entropy: 4.6998, recall: 0.9635, relative_absolute_error: 0.219, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0675, root_relative_squared_error: 0.3509, scimark_benchmark: 873.7533, usercpu_time_millis: 1507600, usercpu_time_millis_testing: 185170, usercpu_time_millis_training: 1322430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9611, kappa: 0.9595, kb_relative_information_score: 5979.7544, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.9616, predictive_accuracy: 0.9611, prior_entropy: 4.6998, recall: 0.9611, relative_absolute_error: 0.2169, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0675, root_relative_squared_error: 0.3512, scimark_benchmark: 859.5223, usercpu_time_millis: 367160, usercpu_time_millis_testing: 43930, usercpu_time_millis_training: 323230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9593, kappa: 0.9576, kb_relative_information_score: 5968.9395, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.9598, predictive_accuracy: 0.9592, prior_entropy: 4.6998, recall: 0.9592, relative_absolute_error: 0.2173, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0687, root_relative_squared_error: 0.3573, scimark_benchmark: 944.235, usercpu_time_millis: 145960, usercpu_time_millis_testing: 14310, usercpu_time_millis_training: 131650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9521, kappa: 0.9502, kb_relative_information_score: 5953.5501, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.9527, predictive_accuracy: 0.9521, prior_entropy: 4.6998, recall: 0.9521, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0703, root_relative_squared_error: 0.3654, scimark_benchmark: 939.7883, usercpu_time_millis: 82530, usercpu_time_millis_testing: 6350, usercpu_time_millis_training: 76180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9343, kappa: 0.9316, kb_relative_information_score: 5902.3197, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.935, predictive_accuracy: 0.9342, prior_entropy: 4.6998, recall: 0.9342, relative_absolute_error: 0.2263, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.3915, scimark_benchmark: 889.4922, usercpu_time_millis: 42920, usercpu_time_millis_testing: 3060, usercpu_time_millis_training: 39860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.7075, kappa: 0.6961, kb_relative_information_score: 4723.0648, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.7141, predictive_accuracy: 0.7079, prior_entropy: 4.6998, recall: 0.7079, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.6577, scimark_benchmark: 936.1714, usercpu_time_millis: 16240, usercpu_time_millis_testing: 940, usercpu_time_millis_training: 15300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, f_measure: 0.0098, kappa: 0.0309, kb_relative_information_score: 804.7099, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.0053, predictive_accuracy: 0.0673, prior_entropy: 4.6998, recall: 0.0673, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9909, scimark_benchmark: 938.3115, usercpu_time_millis: 240, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, f_measure: 0.0098, kappa: 0.0309, kb_relative_information_score: 804.7099, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.0053, predictive_accuracy: 0.0673, prior_entropy: 4.6998, recall: 0.0673, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9909, scimark_benchmark: 936.1714, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, f_measure: 0.0098, kappa: 0.0309, kb_relative_information_score: 804.7099, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.0053, predictive_accuracy: 0.0673, prior_entropy: 4.6998, recall: 0.0673, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9909, scimark_benchmark: 940.0055, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, f_measure: 0.0098, kappa: 0.0309, kb_relative_information_score: 804.7099, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.0053, predictive_accuracy: 0.0673, prior_entropy: 4.6998, recall: 0.0673, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9909, scimark_benchmark: 938.3115, usercpu_time_millis: 230, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, f_measure: 0.0098, kappa: 0.0309, kb_relative_information_score: 804.7099, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.0053, predictive_accuracy: 0.0673, prior_entropy: 4.6998, recall: 0.0673, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9909, scimark_benchmark: 935.6052, usercpu_time_millis: 220, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 190,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9355, kappa: 0.9327, kb_relative_information_score: 5976.9947, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.9364, predictive_accuracy: 0.9353, prior_entropy: 4.6998, recall: 0.9353, relative_absolute_error: 0.2014, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0701, root_relative_squared_error: 0.3644, scimark_benchmark: 926.5859, usercpu_time_millis: 65060, usercpu_time_millis_testing: 10840, usercpu_time_millis_training: 54220,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.8877, kappa: 0.8827, kb_relative_information_score: 5763.8699, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.8898, predictive_accuracy: 0.8873, prior_entropy: 4.6998, recall: 0.8873, relative_absolute_error: 0.2411, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.4327, scimark_benchmark: 1337.9552, usercpu_time_millis: 2870, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 2710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.7424, kappa: 0.7288, kb_relative_information_score: 5094.9408, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.7573, predictive_accuracy: 0.7392, prior_entropy: 4.6998, recall: 0.7392, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.6207, scimark_benchmark: 1323.5075, usercpu_time_millis: 1040, usercpu_time_millis_testing: 640, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9009, kappa: 0.8966, kb_relative_information_score: 6039.3136, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.903, predictive_accuracy: 0.9006, prior_entropy: 4.6998, recall: 0.9006, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.382, scimark_benchmark: 1317.5857, usercpu_time_millis: 600, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9009, kappa: 0.8966, kb_relative_information_score: 6039.3136, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.903, predictive_accuracy: 0.9006, prior_entropy: 4.6998, recall: 0.9006, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.382, scimark_benchmark: 1346.4374, usercpu_time_millis: 790, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9009, kappa: 0.8966, kb_relative_information_score: 6039.3136, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.903, predictive_accuracy: 0.9006, prior_entropy: 4.6998, recall: 0.9006, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.382, scimark_benchmark: 1332.9478, usercpu_time_millis: 640, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.843, kappa: 0.8363, kb_relative_information_score: 5122.7531, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.8445, predictive_accuracy: 0.8426, prior_entropy: 4.6998, recall: 0.8426, relative_absolute_error: 0.3463, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.5313, scimark_benchmark: 1313.5633, usercpu_time_millis: 310690, usercpu_time_millis_testing: 25970, usercpu_time_millis_training: 284720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.4865, kappa: 0.4944, kb_relative_information_score: 3324.8924, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.5011, predictive_accuracy: 0.5139, prior_entropy: 4.6998, recall: 0.5139, relative_absolute_error: 0.736, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.8235, scimark_benchmark: 1318.6467, usercpu_time_millis: 87100, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 87000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9009, kappa: 0.8966, kb_relative_information_score: 6039.3136, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.903, predictive_accuracy: 0.9006, prior_entropy: 4.6998, recall: 0.9006, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.382, scimark_benchmark: 1349.9109, usercpu_time_millis: 520, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9009, kappa: 0.8966, kb_relative_information_score: 6039.3136, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.903, predictive_accuracy: 0.9006, prior_entropy: 4.6998, recall: 0.9006, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.382, scimark_benchmark: 1311.7317, usercpu_time_millis: 590, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9009, kappa: 0.8966, kb_relative_information_score: 6039.3136, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.903, predictive_accuracy: 0.9006, prior_entropy: 4.6998, recall: 0.9006, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.382, scimark_benchmark: 1364.5528, usercpu_time_millis: 870, usercpu_time_millis_testing: 640, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.843, kappa: 0.8363, kb_relative_information_score: 5122.7531, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.8445, predictive_accuracy: 0.8426, prior_entropy: 4.6998, recall: 0.8426, relative_absolute_error: 0.3463, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.5313, scimark_benchmark: 1299.5896, usercpu_time_millis: 301560, usercpu_time_millis_testing: 25060, usercpu_time_millis_training: 276500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9009, kappa: 0.8966, kb_relative_information_score: 6039.3136, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.903, predictive_accuracy: 0.9006, prior_entropy: 4.6998, recall: 0.9006, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.382, scimark_benchmark: 1333.1149, usercpu_time_millis: 690, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.5854, kappa: 0.5821, kb_relative_information_score: 3912.422, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.6377, predictive_accuracy: 0.5983, prior_entropy: 4.6998, recall: 0.5983, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.9141, scimark_benchmark: 1310.6554, usercpu_time_millis: 53340, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 53270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9009, kappa: 0.8966, kb_relative_information_score: 6039.3136, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.903, predictive_accuracy: 0.9006, prior_entropy: 4.6998, recall: 0.9006, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.382, scimark_benchmark: 1322.369, usercpu_time_millis: 450, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.843, kappa: 0.8363, kb_relative_information_score: 5122.7531, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.8445, predictive_accuracy: 0.8426, prior_entropy: 4.6998, recall: 0.8426, relative_absolute_error: 0.3463, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.5313, scimark_benchmark: 1360.6367, usercpu_time_millis: 300090, usercpu_time_millis_testing: 24970, usercpu_time_millis_training: 275120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9545, kappa: 0.9526, kb_relative_information_score: 5998.2056, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.955, predictive_accuracy: 0.9544, prior_entropy: 4.6998, recall: 0.9544, relative_absolute_error: 0.2018, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0681, root_relative_squared_error: 0.3542, scimark_benchmark: 929.0363, usercpu_time_millis: 17320, usercpu_time_millis_testing: 2650, usercpu_time_millis_training: 14670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.7708, kappa: 0.7611, kb_relative_information_score: 5204.1161, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.7727, predictive_accuracy: 0.7703, prior_entropy: 4.6998, recall: 0.7703, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.6207, scimark_benchmark: 1278.6629, usercpu_time_millis: 350, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9661, kappa: 0.9647, kb_relative_information_score: 6372.4932, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.9664, predictive_accuracy: 0.9661, prior_entropy: 4.6998, recall: 0.9661, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.2657, scimark_benchmark: 1354.5533, usercpu_time_millis: 100950, usercpu_time_millis_testing: 58240, usercpu_time_millis_training: 42710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.8877, kappa: 0.8827, kb_relative_information_score: 5763.8699, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.8898, predictive_accuracy: 0.8873, prior_entropy: 4.6998, recall: 0.8873, relative_absolute_error: 0.2411, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.4327, scimark_benchmark: 1347.993, usercpu_time_millis: 3000, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 2840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9545, kappa: 0.9526, kb_relative_information_score: 5998.2056, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.955, predictive_accuracy: 0.9544, prior_entropy: 4.6998, recall: 0.9544, relative_absolute_error: 0.2018, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0681, root_relative_squared_error: 0.3542, scimark_benchmark: 1322.7257, usercpu_time_millis: 12210, usercpu_time_millis_testing: 2740, usercpu_time_millis_training: 9470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.7424, kappa: 0.7288, kb_relative_information_score: 5094.9408, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.7573, predictive_accuracy: 0.7392, prior_entropy: 4.6998, recall: 0.7392, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.6207, scimark_benchmark: 932.5646, usercpu_time_millis: 1190, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9009, kappa: 0.8966, kb_relative_information_score: 6039.3136, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.903, predictive_accuracy: 0.9006, prior_entropy: 4.6998, recall: 0.9006, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.382, scimark_benchmark: 932.5646, usercpu_time_millis: 950, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9009, kappa: 0.8966, kb_relative_information_score: 6039.3136, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.903, predictive_accuracy: 0.9006, prior_entropy: 4.6998, recall: 0.9006, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.382, scimark_benchmark: 1314.7093, usercpu_time_millis: 630, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.7424, kappa: 0.7288, kb_relative_information_score: 5094.9408, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.7573, predictive_accuracy: 0.7392, prior_entropy: 4.6998, recall: 0.7392, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.6207, scimark_benchmark: 938.0414, usercpu_time_millis: 890, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.7708, kappa: 0.7611, kb_relative_information_score: 5204.1161, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.7727, predictive_accuracy: 0.7703, prior_entropy: 4.6998, recall: 0.7703, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.6207, scimark_benchmark: 1261.7298, usercpu_time_millis: 520, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.8877, kappa: 0.8827, kb_relative_information_score: 5763.8699, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.8898, predictive_accuracy: 0.8873, prior_entropy: 4.6998, recall: 0.8873, relative_absolute_error: 0.2411, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.4327, scimark_benchmark: 1352.1128, usercpu_time_millis: 2410, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 2260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9009, kappa: 0.8966, kb_relative_information_score: 6039.3136, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.903, predictive_accuracy: 0.9006, prior_entropy: 4.6998, recall: 0.9006, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.382, scimark_benchmark: 1345.7204, usercpu_time_millis: 610, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.7424, kappa: 0.7288, kb_relative_information_score: 5094.9408, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.7573, predictive_accuracy: 0.7392, prior_entropy: 4.6998, recall: 0.7392, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.6207, scimark_benchmark: 1354.3488, usercpu_time_millis: 830, usercpu_time_millis_testing: 620, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.3647, kappa: 0.3713, kb_relative_information_score: 1277.8641, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.5554, predictive_accuracy: 0.3952, prior_entropy: 4.6998, recall: 0.3952, relative_absolute_error: 0.9593, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.9716, scimark_benchmark: 1308.3124, usercpu_time_millis: 1359610, usercpu_time_millis_testing: 1359610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.892, kappa: 0.8878, kb_relative_information_score: 5928.7947, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.8926, predictive_accuracy: 0.8921, prior_entropy: 4.6998, recall: 0.8921, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.4488, scimark_benchmark: 1339.9935, usercpu_time_millis: 142300, usercpu_time_millis_testing: 34310, usercpu_time_millis_training: 107990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9091, kappa: 0.9053, kb_relative_information_score: 6035.5263, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.9098, predictive_accuracy: 0.9089, prior_entropy: 4.6998, recall: 0.9089, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.4127, scimark_benchmark: 1342.1678, usercpu_time_millis: 939630, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 939420,

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