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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 2124 Supervised Classification braziltourism 321 runs submitted
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321 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, f_measure: 0.7171, kappa: 0.1634, kb_relative_information_score: 0.3653, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6941, predictive_accuracy: 0.7778, prior_entropy: 1.1781, recall: 0.7778, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2488, root_relative_squared_error: 1.0702, scimark_benchmark: 1304.9611, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6704, kb_relative_information_score: -112.2808, mean_absolute_error: 0.2089, 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: 1.8936, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3091, root_relative_squared_error: 1.3297, scimark_benchmark: 1325.2092, usercpu_time_millis: 190, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5727, f_measure: 0.7026, kappa: 0.1635, kb_relative_information_score: -111.909, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6385, predictive_accuracy: 0.7852, prior_entropy: 1.1781, recall: 0.7852, relative_absolute_error: 1.8927, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3089, root_relative_squared_error: 1.3287, scimark_benchmark: 1318.1432, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.6811, kappa: 0.0998, kb_relative_information_score: 7.1904, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6151, predictive_accuracy: 0.763, prior_entropy: 1.1781, recall: 0.763, relative_absolute_error: 0.9145, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.9911, scimark_benchmark: 885.0921, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4772, f_measure: 0.3809, kappa: -0.0195, kb_relative_information_score: -96.0665, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.5757, predictive_accuracy: 0.3037, prior_entropy: 1.1781, recall: 0.3037, relative_absolute_error: 1.8031, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.446, root_relative_squared_error: 1.9188, scimark_benchmark: 912.5006, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
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: 1290.1085, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1316.0472, usercpu_time_millis: 240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, 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: 1319.9043, usercpu_time_millis: 190, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6152, f_measure: 0.7123, kappa: 0.2298, kb_relative_information_score: 13.6208, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.7146, predictive_accuracy: 0.7111, prior_entropy: 1.1781, recall: 0.7111, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.284, root_relative_squared_error: 1.2217, scimark_benchmark: 1301.9956,
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: 1335.4072,
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: 1341.5768, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6607, f_measure: 0.7451, kappa: 0.2973, kb_relative_information_score: 30.3505, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.7428, predictive_accuracy: 0.7556, prior_entropy: 1.1781, recall: 0.7556, relative_absolute_error: 0.633, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2643, root_relative_squared_error: 1.1369, scimark_benchmark: 1294.7826, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5482, f_measure: 0.6734, kappa: 0.0724, kb_relative_information_score: 17.7101, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6451, predictive_accuracy: 0.7259, prior_entropy: 1.1781, recall: 0.7259, relative_absolute_error: 0.7097, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2798, root_relative_squared_error: 1.2038, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7312, f_measure: 0.703, kappa: 0.2033, kb_relative_information_score: 9.849, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.7085, predictive_accuracy: 0.7185, prior_entropy: 1.1781, recall: 0.7185, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2479, root_relative_squared_error: 1.0665, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5653, f_measure: 0.6973, kappa: 0.1525, kb_relative_information_score: 35.702, mean_absolute_error: 0.0635, 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: 0.5755, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.252, root_relative_squared_error: 1.084, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5202, f_measure: 0.6421, kappa: 0.0306, kb_relative_information_score: 1.0032, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6558, predictive_accuracy: 0.6667, prior_entropy: 1.1781, recall: 0.6667, relative_absolute_error: 0.8632, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3086, root_relative_squared_error: 1.3276, scimark_benchmark: 1392.1129, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1054.3694,
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: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, build_cpu_time: 0.433, build_memory: 122247992, f_measure: 0.7026, kappa: 0.1635, kb_relative_information_score: -74.1257, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6385, predictive_accuracy: 0.7852, prior_entropy: 1.1781, recall: 0.7852, relative_absolute_error: 1.4979, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2557, root_relative_squared_error: 1.1001, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, build_cpu_time: 0.373, build_memory: 326385120, f_measure: 0.7026, kappa: 0.1635, kb_relative_information_score: -74.1257, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6385, predictive_accuracy: 0.7852, prior_entropy: 1.1781, recall: 0.7852, relative_absolute_error: 1.4979, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2557, root_relative_squared_error: 1.1001, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, build_cpu_time: 0.378, build_memory: 1304724696, f_measure: 0.7026, kappa: 0.1635, kb_relative_information_score: -74.1257, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6385, predictive_accuracy: 0.7852, prior_entropy: 1.1781, recall: 0.7852, relative_absolute_error: 1.4979, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2557, root_relative_squared_error: 1.1001, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, build_cpu_time: 0.507, build_memory: 1024304792, f_measure: 0.7026, kappa: 0.1635, kb_relative_information_score: -74.1257, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6385, predictive_accuracy: 0.7852, prior_entropy: 1.1781, recall: 0.7852, relative_absolute_error: 1.4979, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2557, root_relative_squared_error: 1.1001, scimark_benchmark: 918.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, build_cpu_time: 0.022, build_memory: 1125582832, f_measure: 0.6898, kappa: 0.126, kb_relative_information_score: -23.9499, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6304, predictive_accuracy: 0.763, prior_entropy: 1.1781, recall: 0.763, relative_absolute_error: 1.1871, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.231, root_relative_squared_error: 0.9936, scimark_benchmark: 935.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, build_cpu_time: 0.015, build_memory: 71214720, f_measure: 0.6898, kappa: 0.126, kb_relative_information_score: -23.9499, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6304, predictive_accuracy: 0.763, prior_entropy: 1.1781, recall: 0.763, relative_absolute_error: 1.1871, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.231, root_relative_squared_error: 0.9936, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, build_cpu_time: 0.014, build_memory: 299963440, f_measure: 0.6898, kappa: 0.126, kb_relative_information_score: -23.9499, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6304, predictive_accuracy: 0.763, prior_entropy: 1.1781, recall: 0.763, relative_absolute_error: 1.1871, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.231, root_relative_squared_error: 0.9936, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, build_cpu_time: 0.014, build_memory: 817286576, f_measure: 0.6898, kappa: 0.126, kb_relative_information_score: -23.9499, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6304, predictive_accuracy: 0.763, prior_entropy: 1.1781, recall: 0.763, relative_absolute_error: 1.1871, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.231, root_relative_squared_error: 0.9936, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, build_cpu_time: 0.016, build_memory: 226009696, f_measure: 0.6898, kappa: 0.126, kb_relative_information_score: -23.9499, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6304, predictive_accuracy: 0.763, prior_entropy: 1.1781, recall: 0.763, relative_absolute_error: 1.1871, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.231, root_relative_squared_error: 0.9936, scimark_benchmark: 907.3828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, build_cpu_time: 0.018, build_memory: 707875920, f_measure: 0.6898, kappa: 0.126, kb_relative_information_score: -23.9499, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6304, predictive_accuracy: 0.763, prior_entropy: 1.1781, recall: 0.763, relative_absolute_error: 1.1871, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.231, root_relative_squared_error: 0.9936, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5968, build_cpu_time: 0.391, build_memory: 431172120, f_measure: 0.7076, kappa: 0.1954, kb_relative_information_score: 22.6837, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.7051, predictive_accuracy: 0.7259, prior_entropy: 1.1781, recall: 0.7259, relative_absolute_error: 0.7097, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2798, root_relative_squared_error: 1.2038, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5937, build_cpu_time: 0.215, build_memory: 1312908664, f_measure: 0.7023, kappa: 0.1844, kb_relative_information_score: 20.5977, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6979, predictive_accuracy: 0.7185, prior_entropy: 1.1781, recall: 0.7185, relative_absolute_error: 0.7289, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2836, root_relative_squared_error: 1.2199, scimark_benchmark: 925.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5971, build_cpu_time: 0.072, build_memory: 45299000, f_measure: 0.7023, kappa: 0.1844, kb_relative_information_score: 19.8347, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6979, predictive_accuracy: 0.7185, prior_entropy: 1.1781, recall: 0.7185, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2838, root_relative_squared_error: 1.2209, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6287, build_cpu_time: 0.06, build_memory: 1519587360, f_measure: 0.6972, kappa: 0.1758, kb_relative_information_score: 17.2086, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.695, predictive_accuracy: 0.7111, prior_entropy: 1.1781, recall: 0.7111, relative_absolute_error: 0.761, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.288, root_relative_squared_error: 1.2389, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.65, build_cpu_time: 0.018, build_memory: 1102198408, f_measure: 0.7221, kappa: 0.2401, kb_relative_information_score: 21.8949, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.7302, predictive_accuracy: 0.7259, prior_entropy: 1.1781, recall: 0.7259, relative_absolute_error: 0.7142, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.277, root_relative_squared_error: 1.1916, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7477, build_cpu_time: 0.136, build_memory: 1357424648, f_measure: 0.7329, kappa: 0.2402, kb_relative_information_score: 17.3696, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.7559, predictive_accuracy: 0.7556, prior_entropy: 1.1781, recall: 0.7556, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.971, scimark_benchmark: 939.9709,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, build_cpu_time: 1.275, build_memory: 353156440, f_measure: 0.7059, kappa: 0.2144, kb_relative_information_score: 21.3101, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.7009, predictive_accuracy: 0.7111, prior_entropy: 1.1781, recall: 0.7111, relative_absolute_error: 0.7278, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2723, root_relative_squared_error: 1.1716, scimark_benchmark: 930.264,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.08, build_memory: 1160566384, f_measure: 0.6704, kb_relative_information_score: -112.2808, mean_absolute_error: 0.2089, 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: 1.8936, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3091, root_relative_squared_error: 1.3297, scimark_benchmark: 937.4673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5727, build_cpu_time: 0.075, build_memory: 759903512, f_measure: 0.7026, kappa: 0.1635, kb_relative_information_score: -111.909, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6385, predictive_accuracy: 0.7852, prior_entropy: 1.1781, recall: 0.7852, relative_absolute_error: 1.8927, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3089, root_relative_squared_error: 1.3287, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5727, build_cpu_time: 0.105, build_memory: 124876704, f_measure: 0.7026, kappa: 0.1635, kb_relative_information_score: -111.909, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6385, predictive_accuracy: 0.7852, prior_entropy: 1.1781, recall: 0.7852, relative_absolute_error: 1.8927, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3089, root_relative_squared_error: 1.3287, scimark_benchmark: 936.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, build_cpu_time: 0.221, build_memory: 462618448, f_measure: 0.661, kappa: 0.1078, kb_relative_information_score: -3.0524, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6211, predictive_accuracy: 0.7111, prior_entropy: 1.1781, recall: 0.7111, relative_absolute_error: 0.982, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.272, root_relative_squared_error: 1.1699, scimark_benchmark: 947.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5915, build_cpu_time: 0.001, build_memory: 21703408, f_measure: 0.6402, kappa: 0.0368, kb_relative_information_score: -12.6754, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6096, predictive_accuracy: 0.6741, prior_entropy: 1.1781, recall: 0.6741, relative_absolute_error: 1.0543, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2663, root_relative_squared_error: 1.1455, scimark_benchmark: 942.4411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, build_cpu_time: 0.012, build_memory: 1415612568, 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: 943.0033,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5653, build_cpu_time: 0.001, build_memory: 1240480856, f_measure: 0.6973, kappa: 0.1525, kb_relative_information_score: 35.702, mean_absolute_error: 0.0635, 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: 0.5755, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.252, root_relative_squared_error: 1.084, scimark_benchmark: 893.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.003, build_memory: 326280312, 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: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_memory: 260554920, 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: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5915, build_memory: 19130600, f_measure: 0.6402, kappa: 0.0368, kb_relative_information_score: -12.6754, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6096, predictive_accuracy: 0.6741, prior_entropy: 1.1781, recall: 0.6741, relative_absolute_error: 1.0543, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2663, root_relative_squared_error: 1.1455, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5915, build_cpu_time: 0.001, build_memory: 315941712, f_measure: 0.6402, kappa: 0.0368, kb_relative_information_score: -12.6754, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6096, predictive_accuracy: 0.6741, prior_entropy: 1.1781, recall: 0.6741, relative_absolute_error: 1.0543, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2663, root_relative_squared_error: 1.1455, scimark_benchmark: 946.9694,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5685, build_cpu_time: 0.757, build_memory: 111871728, f_measure: 0.6996, kappa: 0.1446, kb_relative_information_score: -112.1747, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6338, predictive_accuracy: 0.7852, prior_entropy: 1.1781, recall: 0.7852, relative_absolute_error: 1.8935, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3076, root_relative_squared_error: 1.3235, scimark_benchmark: 916.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5685, build_cpu_time: 0.638, build_memory: 1443154504, f_measure: 0.6996, kappa: 0.1446, kb_relative_information_score: -112.1747, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6338, predictive_accuracy: 0.7852, prior_entropy: 1.1781, recall: 0.7852, relative_absolute_error: 1.8935, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3076, root_relative_squared_error: 1.3235, scimark_benchmark: 943.4668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5696, build_cpu_time: 1.358, build_memory: 239777768, f_measure: 0.6996, kappa: 0.1446, kb_relative_information_score: -111.776, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6338, predictive_accuracy: 0.7852, prior_entropy: 1.1781, recall: 0.7852, relative_absolute_error: 1.8911, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3071, root_relative_squared_error: 1.3211, scimark_benchmark: 894.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, build_cpu_time: 2.708, build_memory: 856275680, f_measure: 0.6996, kappa: 0.1446, kb_relative_information_score: -111.5544, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6338, predictive_accuracy: 0.7852, prior_entropy: 1.1781, recall: 0.7852, relative_absolute_error: 1.8897, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.307, root_relative_squared_error: 1.3206, scimark_benchmark: 937.84,

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