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File: /var/www/openml/index.php
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Function: require_once

OpenML
OpenML
Supervised Classification on braziltourism

Supervised Classification on braziltourism

Task 2078 Supervised Classification braziltourism 521 runs submitted
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Visibility: Public
  • study_1 study_107 study_41 under100k under1m
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521 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6036, build_cpu_time: 0.5559, build_memory: 943744555.6505, f_measure: 0.6825, kappa: 0.1454, kb_relative_information_score: 35.9545, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6763, predictive_accuracy: 0.6893, prior_entropy: 1.1781, recall: 0.6893, relative_absolute_error: 0.8027, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2964, root_relative_squared_error: 1.2748, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5819, build_cpu_time: 0.8403, build_memory: 833154128.5437, f_measure: 0.681, kappa: 0.1329, kb_relative_information_score: 36.887, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6715, predictive_accuracy: 0.6917, prior_entropy: 1.1781, recall: 0.6917, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2956, root_relative_squared_error: 1.2716, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5693, build_cpu_time: 0.0513, build_memory: 648664381.9612, f_measure: 0.6601, kappa: 0.0896, kb_relative_information_score: 7.1502, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6531, predictive_accuracy: 0.6675, prior_entropy: 1.1781, recall: 0.6675, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3054, root_relative_squared_error: 1.3138, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5693, build_cpu_time: 0.0612, build_memory: 510228869.2427, f_measure: 0.6601, kappa: 0.0896, kb_relative_information_score: 7.1502, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6531, predictive_accuracy: 0.6675, prior_entropy: 1.1781, recall: 0.6675, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3054, root_relative_squared_error: 1.3138, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, build_cpu_time: 0.0076, build_memory: 230849958.0971, f_measure: 0.6851, kappa: 0.0702, kb_relative_information_score: -276.2959, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6194, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 1.6594, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2784, root_relative_squared_error: 1.1977, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6013, build_cpu_time: 7.1288, build_memory: 986502869.3204, f_measure: 0.7085, kappa: 0.1788, kb_relative_information_score: 76.6244, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6876, predictive_accuracy: 0.7403, prior_entropy: 1.1781, recall: 0.7403, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2705, root_relative_squared_error: 1.1633, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, build_cpu_time: 3.2831, build_memory: 397414611.9029, f_measure: 0.6985, kappa: 0.1586, kb_relative_information_score: 70.899, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6798, predictive_accuracy: 0.7233, prior_entropy: 1.1781, recall: 0.7233, relative_absolute_error: 0.6988, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2714, root_relative_squared_error: 1.1672, scimark_benchmark: 944.6726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6543, build_cpu_time: 1.6524, build_memory: 1040668634.6796, f_measure: 0.7007, kappa: 0.1651, kb_relative_information_score: 63.4795, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6816, predictive_accuracy: 0.7257, prior_entropy: 1.1781, recall: 0.7257, relative_absolute_error: 0.718, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.271, root_relative_squared_error: 1.1655, scimark_benchmark: 937.2031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, build_cpu_time: 1.2808, build_memory: 920332428.7379, f_measure: 0.6834, kappa: 0.1206, kb_relative_information_score: 59.7028, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6655, predictive_accuracy: 0.7063, prior_entropy: 1.1781, recall: 0.7063, relative_absolute_error: 0.7377, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2645, root_relative_squared_error: 1.1376, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6426, build_cpu_time: 0.0012, build_memory: 1738280417.0097, f_measure: 0.7017, kappa: 0.1537, kb_relative_information_score: 51.6279, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.671, predictive_accuracy: 0.767, prior_entropy: 1.1781, recall: 0.767, relative_absolute_error: 0.8816, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.228, root_relative_squared_error: 0.9805, scimark_benchmark: 937.4673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6426, build_cpu_time: 0.0015, build_memory: 1497115964.3107, f_measure: 0.7017, kappa: 0.1537, kb_relative_information_score: 51.6279, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.671, predictive_accuracy: 0.767, prior_entropy: 1.1781, recall: 0.767, relative_absolute_error: 0.8816, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.228, root_relative_squared_error: 0.9805, scimark_benchmark: 915.0385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, build_cpu_time: 0.0015, build_memory: 598470019.8058, f_measure: 0.7013, kappa: 0.1579, kb_relative_information_score: 50.8675, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6778, predictive_accuracy: 0.7743, prior_entropy: 1.1781, recall: 0.7743, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.9775, scimark_benchmark: 875.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, build_cpu_time: 0.1542, build_memory: 912824699.3592, f_measure: 0.7073, kappa: 0.1652, kb_relative_information_score: 45.8075, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6853, predictive_accuracy: 0.7476, prior_entropy: 1.1781, recall: 0.7476, relative_absolute_error: 0.8547, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2363, root_relative_squared_error: 1.0166, scimark_benchmark: 942.4411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, build_cpu_time: 0.024, build_memory: 340352472.8932, f_measure: 0.6717, kappa: 0.0107, kb_relative_information_score: 0.8775, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6206, predictive_accuracy: 0.75, prior_entropy: 1.1781, recall: 0.75, relative_absolute_error: 0.9819, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2373, root_relative_squared_error: 1.0206, scimark_benchmark: 906.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5693, build_cpu_time: 0.0002, build_memory: 1024727704, f_measure: 0.6601, kappa: 0.0896, kb_relative_information_score: 7.1502, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6531, predictive_accuracy: 0.6675, prior_entropy: 1.1781, recall: 0.6675, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3054, root_relative_squared_error: 1.3138, scimark_benchmark: 928.1083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, build_cpu_time: 0.1068, build_memory: 586256615.9029, f_measure: 0.6725, kb_relative_information_score: -333.9599, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.5957, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 1.8952, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3094, root_relative_squared_error: 1.331, scimark_benchmark: 937.4673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5721, build_cpu_time: 0.1145, build_memory: 578196622.5243, f_measure: 0.6977, kappa: 0.1162, kb_relative_information_score: -328.7849, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.7051, predictive_accuracy: 0.7816, prior_entropy: 1.1781, recall: 0.7816, relative_absolute_error: 1.8901, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3083, root_relative_squared_error: 1.3261, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6432, build_cpu_time: 0.1856, build_memory: 425790229.3592, f_measure: 0.6868, kappa: 0.1306, kb_relative_information_score: 44.3419, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6613, predictive_accuracy: 0.7476, prior_entropy: 1.1781, recall: 0.7476, relative_absolute_error: 0.8931, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.245, root_relative_squared_error: 1.054, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, build_cpu_time: 0.0009, build_memory: 250148903.1262, f_measure: 0.6668, kappa: 0.1009, kb_relative_information_score: -11.3998, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.652, predictive_accuracy: 0.7063, prior_entropy: 1.1781, recall: 0.7063, relative_absolute_error: 1.0207, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2529, root_relative_squared_error: 1.0879, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, build_cpu_time: 0.0008, build_memory: 237810489.3592, f_measure: 0.6668, kappa: 0.1009, kb_relative_information_score: -11.3998, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.652, predictive_accuracy: 0.7063, prior_entropy: 1.1781, recall: 0.7063, relative_absolute_error: 1.0207, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2529, root_relative_squared_error: 1.0879, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6759, build_cpu_time: 0.0214, build_memory: 668299864.6019, f_measure: 0.7179, kappa: 0.1867, kb_relative_information_score: 57.3303, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.7643, predictive_accuracy: 0.7864, prior_entropy: 1.1781, recall: 0.7864, relative_absolute_error: 0.8506, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.9727, scimark_benchmark: 920.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, build_cpu_time: 0.0046, build_memory: 176546471.9806, f_measure: 0.6851, kappa: 0.0702, kb_relative_information_score: -276.2959, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6194, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 1.6594, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2784, root_relative_squared_error: 1.1977, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, build_cpu_time: 0.0042, build_memory: 101175971.6117, f_measure: 0.6851, kappa: 0.0702, kb_relative_information_score: -276.2959, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6194, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 1.6594, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2784, root_relative_squared_error: 1.1977, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5059, build_cpu_time: 0.0027, build_memory: 581639065.3204, f_measure: 0.6871, kappa: 0.0672, kb_relative_information_score: 16.5414, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6524, predictive_accuracy: 0.7621, prior_entropy: 1.1781, recall: 0.7621, relative_absolute_error: 0.9483, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.239, root_relative_squared_error: 1.0279, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.473, build_cpu_time: 0.0003, build_memory: 785904828.0194, f_measure: 0.6725, kb_relative_information_score: -1.6113, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.5957, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2326, root_relative_squared_error: 1.0003, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, build_cpu_time: 0.001, build_memory: 41958713.1262, f_measure: 0.6668, kappa: 0.1009, kb_relative_information_score: -11.3998, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.652, predictive_accuracy: 0.7063, prior_entropy: 1.1781, recall: 0.7063, relative_absolute_error: 1.0207, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2529, root_relative_squared_error: 1.0879, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5646, build_cpu_time: 1.1387, build_memory: 668598030.4272, f_measure: 0.7037, kappa: 0.1461, kb_relative_information_score: -331.6931, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.7916, predictive_accuracy: 0.784, prior_entropy: 1.1781, recall: 0.784, relative_absolute_error: 1.8939, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3068, root_relative_squared_error: 1.3196, scimark_benchmark: 935.5532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5541, build_cpu_time: 2.2169, build_memory: 755039049.5922, f_measure: 0.7001, kappa: 0.1293, kb_relative_information_score: -329.8416, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.7103, predictive_accuracy: 0.7816, prior_entropy: 1.1781, recall: 0.7816, relative_absolute_error: 1.8917, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3062, root_relative_squared_error: 1.3173, scimark_benchmark: 941.7372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5541, build_cpu_time: 2.1159, build_memory: 2643590701.767, f_measure: 0.7001, kappa: 0.1293, kb_relative_information_score: -329.8416, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.7103, predictive_accuracy: 0.7816, prior_entropy: 1.1781, recall: 0.7816, relative_absolute_error: 1.8917, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3062, root_relative_squared_error: 1.3173, scimark_benchmark: 947.7504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5541, build_cpu_time: 1.839, build_memory: 632019327.6699, f_measure: 0.7001, kappa: 0.1293, kb_relative_information_score: -329.8416, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.7103, predictive_accuracy: 0.7816, prior_entropy: 1.1781, recall: 0.7816, relative_absolute_error: 1.8917, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3062, root_relative_squared_error: 1.3173, scimark_benchmark: 928.8874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5579, build_cpu_time: 4.1038, build_memory: 685870417.3204, f_measure: 0.6973, kappa: 0.1186, kb_relative_information_score: -330.145, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6816, predictive_accuracy: 0.7791, prior_entropy: 1.1781, recall: 0.7791, relative_absolute_error: 1.8917, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3063, root_relative_squared_error: 1.3177, scimark_benchmark: 935.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5579, build_cpu_time: 3.5389, build_memory: 747418353.8252, f_measure: 0.6973, kappa: 0.1186, kb_relative_information_score: -330.145, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6816, predictive_accuracy: 0.7791, prior_entropy: 1.1781, recall: 0.7791, relative_absolute_error: 1.8917, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3063, root_relative_squared_error: 1.3177, scimark_benchmark: 926.9748,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.6881, kappa: 0.0948, kb_relative_information_score: -250.5215, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6277, predictive_accuracy: 0.7694, prior_entropy: 1.1781, recall: 0.7694, relative_absolute_error: 1.5631, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2637, root_relative_squared_error: 1.1342, scimark_benchmark: 897.2945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.615, f_measure: 0.6743, kappa: 0.0154, kb_relative_information_score: 99.0341, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.5987, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 0.6241, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2437, root_relative_squared_error: 1.0481, scimark_benchmark: 934.1995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.473, f_measure: 0.6725, kb_relative_information_score: -1.6113, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.5957, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2326, root_relative_squared_error: 1.0003, scimark_benchmark: 945.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.6982, kappa: 0.1175, kb_relative_information_score: 42.9016, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6599, predictive_accuracy: 0.7694, prior_entropy: 1.1781, recall: 0.7694, relative_absolute_error: 0.8952, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.9627, scimark_benchmark: 925.2802,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6256, f_measure: 0.6835, kappa: 0.0892, kb_relative_information_score: -122.1328, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6371, predictive_accuracy: 0.7524, prior_entropy: 1.1781, recall: 0.7524, relative_absolute_error: 1.3002, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2472, root_relative_squared_error: 1.0634, scimark_benchmark: 913.7613,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.6714, kappa: -0.0007, kb_relative_information_score: -334.4841, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6155, predictive_accuracy: 0.7597, prior_entropy: 1.1781, recall: 0.7597, relative_absolute_error: 1.897, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3098, root_relative_squared_error: 1.3324, scimark_benchmark: 948.7331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.6881, kappa: 0.0948, kb_relative_information_score: -250.5215, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6277, predictive_accuracy: 0.7694, prior_entropy: 1.1781, recall: 0.7694, relative_absolute_error: 1.5631, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2637, root_relative_squared_error: 1.1342, scimark_benchmark: 591.7455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6999, f_measure: 0.6917, kappa: 0.1092, kb_relative_information_score: 54.8128, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6542, predictive_accuracy: 0.7597, prior_entropy: 1.1781, recall: 0.7597, relative_absolute_error: 0.8683, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.966, scimark_benchmark: 595.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6601, f_measure: 0.6941, kappa: 0.1047, kb_relative_information_score: -115.9436, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6621, predictive_accuracy: 0.7621, prior_entropy: 1.1781, recall: 0.7621, relative_absolute_error: 1.2846, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2412, root_relative_squared_error: 1.0373, scimark_benchmark: 596.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6086, f_measure: 0.6803, kappa: 0.127, kb_relative_information_score: 40.158, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6729, predictive_accuracy: 0.6917, prior_entropy: 1.1781, recall: 0.6917, relative_absolute_error: 0.7993, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2897, root_relative_squared_error: 1.2462, scimark_benchmark: 598.8216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5782, f_measure: 0.6759, kappa: 0.1131, kb_relative_information_score: 35.9944, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.66, predictive_accuracy: 0.6942, prior_entropy: 1.1781, recall: 0.6942, relative_absolute_error: 0.7934, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2946, root_relative_squared_error: 1.2671, scimark_benchmark: 895.4609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6078, f_measure: 0.703, kappa: 0.1796, kb_relative_information_score: 22.7729, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6863, predictive_accuracy: 0.7233, prior_entropy: 1.1781, recall: 0.7233, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2601, root_relative_squared_error: 1.1189, scimark_benchmark: 896.0997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.7046, kappa: 0.1564, kb_relative_information_score: -86.8691, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6823, predictive_accuracy: 0.7451, prior_entropy: 1.1781, recall: 0.7451, relative_absolute_error: 1.2392, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2401, root_relative_squared_error: 1.0328, scimark_benchmark: 944.9021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5693, f_measure: 0.6601, kappa: 0.0896, kb_relative_information_score: 7.1502, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6531, predictive_accuracy: 0.6675, prior_entropy: 1.1781, recall: 0.6675, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3054, root_relative_squared_error: 1.3138, scimark_benchmark: 946.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, f_measure: 0.678, kappa: 0.1328, kb_relative_information_score: -1.0622, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6355, predictive_accuracy: 0.7282, prior_entropy: 1.1781, recall: 0.7282, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2445, root_relative_squared_error: 1.0516, scimark_benchmark: 947.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6434, f_measure: 0.6824, kappa: 0.0811, kb_relative_information_score: -17.5958, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6486, predictive_accuracy: 0.733, prior_entropy: 1.1781, recall: 0.733, relative_absolute_error: 1.0112, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2414, root_relative_squared_error: 1.0382, scimark_benchmark: 936.5412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.6725, kb_relative_information_score: -333.9599, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.5957, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 1.8952, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3094, root_relative_squared_error: 1.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, f_measure: 0.6784, kappa: 0.0394, kb_relative_information_score: 32.8482, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.61, predictive_accuracy: 0.7694, prior_entropy: 1.1781, recall: 0.7694, relative_absolute_error: 0.93, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.9737, scimark_benchmark: 943.4705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5693, f_measure: 0.6601, kappa: 0.0896, kb_relative_information_score: 7.1502, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6531, predictive_accuracy: 0.6675, prior_entropy: 1.1781, recall: 0.6675, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3054, root_relative_squared_error: 1.3138, scimark_benchmark: 935.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5332, f_measure: 0.6887, kappa: 0.0747, kb_relative_information_score: -340.8076, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6638, predictive_accuracy: 0.7621, prior_entropy: 1.1781, recall: 0.7621, relative_absolute_error: 1.8994, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3102, root_relative_squared_error: 1.3341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.6772, kappa: 0.0353, kb_relative_information_score: 30.6974, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6096, predictive_accuracy: 0.767, prior_entropy: 1.1781, recall: 0.767, relative_absolute_error: 0.9302, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.9751, scimark_benchmark: 947.4336,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.6905, kappa: 0.1093, kb_relative_information_score: 51.2139, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6467, predictive_accuracy: 0.7621, prior_entropy: 1.1781, recall: 0.7621, relative_absolute_error: 0.8712, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.227, root_relative_squared_error: 0.9765, scimark_benchmark: 592.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.6881, kappa: 0.0948, kb_relative_information_score: -250.5215, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6277, predictive_accuracy: 0.7694, prior_entropy: 1.1781, recall: 0.7694, relative_absolute_error: 1.5631, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2637, root_relative_squared_error: 1.1342, scimark_benchmark: 942.0728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5725, f_measure: 0.6785, kappa: 0.0431, kb_relative_information_score: -68.15, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6162, predictive_accuracy: 0.767, prior_entropy: 1.1781, recall: 0.767, relative_absolute_error: 1.199, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2596, root_relative_squared_error: 1.1165, scimark_benchmark: 944.7384,

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