Task
Supervised Classification on braziltourism

Supervised Classification on braziltourism

Task 2124 Supervised Classification braziltourism 321 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6704, kb_relative_information_score: 1.8643, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.5935, predictive_accuracy: 0.7704, prior_entropy: 1.1781, recall: 0.7704, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2325, root_relative_squared_error: 1.0002, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, f_measure: 0.6916, kappa: 0.1726, kb_relative_information_score: 5.8396, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6877, predictive_accuracy: 0.6963, prior_entropy: 1.1781, recall: 0.6963, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2443, root_relative_squared_error: 1.0508, scimark_benchmark: 851.2074, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.6973, kappa: 0.1525, kb_relative_information_score: 13.1133, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6329, predictive_accuracy: 0.7778, prior_entropy: 1.1781, recall: 0.7778, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9815, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.6973, kappa: 0.1525, kb_relative_information_score: 13.1133, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6329, predictive_accuracy: 0.7778, prior_entropy: 1.1781, recall: 0.7778, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9815, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.6973, kappa: 0.1525, kb_relative_information_score: 13.1133, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6329, predictive_accuracy: 0.7778, prior_entropy: 1.1781, recall: 0.7778, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9815, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.739, kappa: 0.2493, kb_relative_information_score: 17.4178, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.8075, predictive_accuracy: 0.7926, prior_entropy: 1.1781, recall: 0.7926, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.9476, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.6973, kappa: 0.1525, kb_relative_information_score: 13.1133, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6329, predictive_accuracy: 0.7778, prior_entropy: 1.1781, recall: 0.7778, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9815, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.7466, kappa: 0.2735, kb_relative_information_score: 18.4034, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.7788, predictive_accuracy: 0.7778, prior_entropy: 1.1781, recall: 0.7778, relative_absolute_error: 0.8266, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9631, scimark_benchmark: 931.771, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5161, f_measure: 0.6874, kappa: 0.0509, kb_relative_information_score: 32.3287, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.7609, predictive_accuracy: 0.7778, prior_entropy: 1.1781, recall: 0.7778, relative_absolute_error: 0.5755, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.252, root_relative_squared_error: 1.084, scimark_benchmark: 974.2014, usercpu_time_millis: 400, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.7274, kappa: 0.2188, kb_relative_information_score: 17.1361, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.8006, predictive_accuracy: 0.7926, prior_entropy: 1.1781, recall: 0.7926, relative_absolute_error: 0.8305, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.966, scimark_benchmark: 936.3373, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.7466, kappa: 0.2735, kb_relative_information_score: 18.4034, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.7788, predictive_accuracy: 0.7778, prior_entropy: 1.1781, recall: 0.7778, relative_absolute_error: 0.8266, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9631, scimark_benchmark: 943.1009, usercpu_time_millis: 160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6704, kb_relative_information_score: 1.8643, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.5935, predictive_accuracy: 0.7704, prior_entropy: 1.1781, recall: 0.7704, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2325, root_relative_squared_error: 1.0002, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, f_measure: 0.6916, kappa: 0.1726, kb_relative_information_score: 5.8396, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6877, predictive_accuracy: 0.6963, prior_entropy: 1.1781, recall: 0.6963, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2443, root_relative_squared_error: 1.0508, scimark_benchmark: 944.0133, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5161, f_measure: 0.6874, kappa: 0.0509, kb_relative_information_score: 32.3287, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.7609, predictive_accuracy: 0.7778, prior_entropy: 1.1781, recall: 0.7778, relative_absolute_error: 0.5755, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.252, root_relative_squared_error: 1.084, scimark_benchmark: 730.6551, usercpu_time_millis: 370, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5161, f_measure: 0.6874, kappa: 0.0509, kb_relative_information_score: 32.3287, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.7609, predictive_accuracy: 0.7778, prior_entropy: 1.1781, recall: 0.7778, relative_absolute_error: 0.5755, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.252, root_relative_squared_error: 1.084, scimark_benchmark: 930.404, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.6973, kappa: 0.1525, kb_relative_information_score: 13.1133, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6329, predictive_accuracy: 0.7778, prior_entropy: 1.1781, recall: 0.7778, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9815, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.739, kappa: 0.2493, kb_relative_information_score: 17.4178, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.8075, predictive_accuracy: 0.7926, prior_entropy: 1.1781, recall: 0.7926, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.9476, scimark_benchmark: 941.4991, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.6973, kappa: 0.1525, kb_relative_information_score: 13.1133, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6329, predictive_accuracy: 0.7778, prior_entropy: 1.1781, recall: 0.7778, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9815, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.7274, kappa: 0.2188, kb_relative_information_score: 17.1361, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.8006, predictive_accuracy: 0.7926, prior_entropy: 1.1781, recall: 0.7926, relative_absolute_error: 0.8305, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.966, scimark_benchmark: 935.5664, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.7466, kappa: 0.2735, kb_relative_information_score: 18.4034, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.7788, predictive_accuracy: 0.7778, prior_entropy: 1.1781, recall: 0.7778, relative_absolute_error: 0.8266, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9631, scimark_benchmark: 936.3213, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.7248, kappa: 0.2035, kb_relative_information_score: 11.7534, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.7989, predictive_accuracy: 0.7926, prior_entropy: 1.1781, recall: 0.7926, relative_absolute_error: 0.9077, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.221, root_relative_squared_error: 0.9508, scimark_benchmark: 937.5683, usercpu_time_millis: 3070, usercpu_time_millis_testing: 900, usercpu_time_millis_training: 2170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7469, f_measure: 0.6989, kappa: 0.1326, kb_relative_information_score: 11.3203, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.7793, predictive_accuracy: 0.7778, prior_entropy: 1.1781, recall: 0.7778, relative_absolute_error: 0.9105, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.9547, scimark_benchmark: 931.9419, usercpu_time_millis: 1320, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7239, f_measure: 0.7178, kappa: 0.1934, kb_relative_information_score: 10.722, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.7889, predictive_accuracy: 0.7852, prior_entropy: 1.1781, recall: 0.7852, relative_absolute_error: 0.9163, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.9528, scimark_benchmark: 899.0468, usercpu_time_millis: 700, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.6982, kappa: 0.1407, kb_relative_information_score: 10.1776, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.7829, predictive_accuracy: 0.7704, prior_entropy: 1.1781, recall: 0.7704, relative_absolute_error: 0.9057, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.224, root_relative_squared_error: 0.9635, scimark_benchmark: 930.0399, usercpu_time_millis: 380, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.69, kappa: 0.125, kb_relative_information_score: 14.2862, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6262, predictive_accuracy: 0.7704, prior_entropy: 1.1781, recall: 0.7704, relative_absolute_error: 0.8968, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.9541, scimark_benchmark: 889.4922, usercpu_time_millis: 230, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6704, kb_relative_information_score: -1.9687, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.5935, predictive_accuracy: 0.7704, prior_entropy: 1.1781, recall: 0.7704, relative_absolute_error: 1.0102, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2326, root_relative_squared_error: 1.0006, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5776, f_measure: 0.7009, kappa: 0.1626, kb_relative_information_score: -103.203, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6341, predictive_accuracy: 0.7852, prior_entropy: 1.1781, recall: 0.7852, relative_absolute_error: 1.7474, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2832, root_relative_squared_error: 1.2182, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5776, f_measure: 0.7009, kappa: 0.1626, kb_relative_information_score: -103.203, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6341, predictive_accuracy: 0.7852, prior_entropy: 1.1781, recall: 0.7852, relative_absolute_error: 1.7474, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2832, root_relative_squared_error: 1.2182, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5776, f_measure: 0.7009, kappa: 0.1626, kb_relative_information_score: -103.203, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6341, predictive_accuracy: 0.7852, prior_entropy: 1.1781, recall: 0.7852, relative_absolute_error: 1.7474, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2832, root_relative_squared_error: 1.2182, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5776, f_measure: 0.7009, kappa: 0.1626, kb_relative_information_score: -103.203, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6341, predictive_accuracy: 0.7852, prior_entropy: 1.1781, recall: 0.7852, relative_absolute_error: 1.7474, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2832, root_relative_squared_error: 1.2182, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5345, f_measure: 0.7009, kappa: 0.1626, kb_relative_information_score: -37.5596, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6341, predictive_accuracy: 0.7852, prior_entropy: 1.1781, recall: 0.7852, relative_absolute_error: 1.2459, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2381, root_relative_squared_error: 1.0243, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6704, kb_relative_information_score: 29.8403, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.5935, predictive_accuracy: 0.7704, prior_entropy: 1.1781, recall: 0.7704, relative_absolute_error: 0.5947, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2561, root_relative_squared_error: 1.1019, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, f_measure: 0.6704, kb_relative_information_score: 7.1346, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.5935, predictive_accuracy: 0.7704, prior_entropy: 1.1781, recall: 0.7704, relative_absolute_error: 0.9713, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.231, root_relative_squared_error: 0.9937, scimark_benchmark: 941.9549, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6638, f_measure: 0.6693, kappa: 0.059, kb_relative_information_score: -28.5637, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6528, predictive_accuracy: 0.7111, prior_entropy: 1.1781, recall: 0.7111, relative_absolute_error: 1.2271, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2425, root_relative_squared_error: 1.0431, scimark_benchmark: 911.442, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.6704, kb_relative_information_score: 2.0862, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.5935, predictive_accuracy: 0.7704, prior_entropy: 1.1781, recall: 0.7704, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.9783, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6704, kb_relative_information_score: 1.8643, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.5935, predictive_accuracy: 0.7704, prior_entropy: 1.1781, recall: 0.7704, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2325, root_relative_squared_error: 1.0002, scimark_benchmark: 899.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, f_measure: 0.6916, kappa: 0.1726, kb_relative_information_score: 5.8396, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6877, predictive_accuracy: 0.6963, prior_entropy: 1.1781, recall: 0.6963, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2443, root_relative_squared_error: 1.0508, scimark_benchmark: 875.9128, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, f_measure: 0.6916, kappa: 0.1726, kb_relative_information_score: 5.8396, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6877, predictive_accuracy: 0.6963, prior_entropy: 1.1781, recall: 0.6963, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2443, root_relative_squared_error: 1.0508, scimark_benchmark: 1317.7919, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.6973, kappa: 0.1525, kb_relative_information_score: 13.1133, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6329, predictive_accuracy: 0.7778, prior_entropy: 1.1781, recall: 0.7778, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9815, scimark_benchmark: 1324.2313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.739, kappa: 0.2493, kb_relative_information_score: 17.4178, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.8075, predictive_accuracy: 0.7926, prior_entropy: 1.1781, recall: 0.7926, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.9476, scimark_benchmark: 1318.9519, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.7274, kappa: 0.2188, kb_relative_information_score: 17.1361, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.8006, predictive_accuracy: 0.7926, prior_entropy: 1.1781, recall: 0.7926, relative_absolute_error: 0.8305, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.966, scimark_benchmark: 1321.4561, usercpu_time_millis: 240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6704, kb_relative_information_score: 1.8643, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.5935, predictive_accuracy: 0.7704, prior_entropy: 1.1781, recall: 0.7704, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2325, root_relative_squared_error: 1.0002, scimark_benchmark: 1325.6322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.6973, kappa: 0.1525, kb_relative_information_score: 13.1133, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6329, predictive_accuracy: 0.7778, prior_entropy: 1.1781, recall: 0.7778, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9815, scimark_benchmark: 1341.9187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.7114, kappa: 0.177, kb_relative_information_score: 14.838, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.7958, predictive_accuracy: 0.7852, prior_entropy: 1.1781, recall: 0.7852, relative_absolute_error: 0.8732, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.9776, scimark_benchmark: 1363.1824, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5161, f_measure: 0.6874, kappa: 0.0509, kb_relative_information_score: 32.3287, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.7609, predictive_accuracy: 0.7778, prior_entropy: 1.1781, recall: 0.7778, relative_absolute_error: 0.5755, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.252, root_relative_squared_error: 1.084, scimark_benchmark: 1318.2298, usercpu_time_millis: 320, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6717, f_measure: 0.6996, kappa: 0.1389, kb_relative_information_score: 10.5644, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.7857, predictive_accuracy: 0.7704, prior_entropy: 1.1781, recall: 0.7704, relative_absolute_error: 0.8895, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.9891, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.6973, kappa: 0.1525, kb_relative_information_score: 13.1133, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6329, predictive_accuracy: 0.7778, prior_entropy: 1.1781, recall: 0.7778, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9815, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.7466, kappa: 0.2735, kb_relative_information_score: 18.4034, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.7788, predictive_accuracy: 0.7778, prior_entropy: 1.1781, recall: 0.7778, relative_absolute_error: 0.8266, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9631, scimark_benchmark: 1347.993, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6717, f_measure: 0.6996, kappa: 0.1389, kb_relative_information_score: 10.5644, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.7857, predictive_accuracy: 0.7704, prior_entropy: 1.1781, recall: 0.7704, relative_absolute_error: 0.8895, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.9891, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.6973, kappa: 0.1525, kb_relative_information_score: 13.1133, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6329, predictive_accuracy: 0.7778, prior_entropy: 1.1781, recall: 0.7778, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9815, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.7466, kappa: 0.2735, kb_relative_information_score: 18.4034, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.7788, predictive_accuracy: 0.7778, prior_entropy: 1.1781, recall: 0.7778, relative_absolute_error: 0.8266, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9631, scimark_benchmark: 1326.8946, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.6973, kappa: 0.1525, kb_relative_information_score: 13.1133, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6329, predictive_accuracy: 0.7778, prior_entropy: 1.1781, recall: 0.7778, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9815, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6717, f_measure: 0.6996, kappa: 0.1389, kb_relative_information_score: 10.5644, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.7857, predictive_accuracy: 0.7704, prior_entropy: 1.1781, recall: 0.7704, relative_absolute_error: 0.8895, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.9891, scimark_benchmark: 935.5075,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs