OpenML
Supervised Classification on steel-plates-fault

Supervised Classification on steel-plates-fault

Task 9967 Supervised Classification steel-plates-fault 142878 runs submitted
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  • OpenML100 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1920.7891, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0141, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.021, root_relative_squared_error: 0.0441, scimark_benchmark: 1319.1832, usercpu_time_millis: 75.643, usercpu_time_millis_testing: 1.974, usercpu_time_millis_training: 73.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1928.1514, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.009, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0143, root_relative_squared_error: 0.03, scimark_benchmark: 1299.6476, usercpu_time_millis: 125.415, usercpu_time_millis_testing: 3.259, usercpu_time_millis_training: 122.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1920.6501, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0142, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0208, root_relative_squared_error: 0.0436, scimark_benchmark: 1316.4603, usercpu_time_millis: 42.105, usercpu_time_millis_testing: 1.062, usercpu_time_millis_training: 41.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1843.219, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0671, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.1204, scimark_benchmark: 1311.9024, usercpu_time_millis: 22.336, usercpu_time_millis_testing: 0.874, usercpu_time_millis_training: 21.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1862.5384, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0539, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.1078, scimark_benchmark: 1315.9082, usercpu_time_millis: 81.734, usercpu_time_millis_testing: 2.198, usercpu_time_millis_training: 79.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1873.2383, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0465, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0483, root_relative_squared_error: 0.1015, scimark_benchmark: 1313.6806, usercpu_time_millis: 136.253, usercpu_time_millis_testing: 3.733, usercpu_time_millis_training: 132.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9898, kb_relative_information_score: 1682.4658, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 0.9313, recall: 0.9954, relative_absolute_error: 0.1704, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.2397, scimark_benchmark: 1297.9734, usercpu_time_millis: 69.514, usercpu_time_millis_testing: 3.325, usercpu_time_millis_training: 66.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9938, kappa: 0.9864, kb_relative_information_score: 1578.1667, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.9313, recall: 0.9938, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.305, scimark_benchmark: 1320.3244, usercpu_time_millis: 79.301, usercpu_time_millis_testing: 3.747, usercpu_time_millis_training: 75.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9955, kb_relative_information_score: 1739.4219, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9313, recall: 0.9979, relative_absolute_error: 0.1344, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.2016, scimark_benchmark: 1297.1141, usercpu_time_millis: 82.658, usercpu_time_millis_testing: 4.056, usercpu_time_millis_training: 78.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1880.7331, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0428, root_relative_squared_error: 0.0899, scimark_benchmark: 1300.3446, usercpu_time_millis: 68.348, usercpu_time_millis_testing: 2.5, usercpu_time_millis_training: 65.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.8872, kappa: 0.7454, kb_relative_information_score: 794.5103, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.904, predictive_accuracy: 0.8923, prior_entropy: 0.9313, recall: 0.8923, relative_absolute_error: 0.6524, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.7012, scimark_benchmark: 1327.2976, usercpu_time_millis: 70.645, usercpu_time_millis_testing: 6.706, usercpu_time_millis_training: 63.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1836.1013, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9313, recall: 0.9995, relative_absolute_error: 0.0724, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.1153, scimark_benchmark: 1323.9629, usercpu_time_millis: 84.244, usercpu_time_millis_testing: 3.092, usercpu_time_millis_training: 81.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1871.7982, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0477, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.0991, scimark_benchmark: 1303.6321, usercpu_time_millis: 154.318, usercpu_time_millis_testing: 3.965, usercpu_time_millis_training: 150.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1761.3253, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9313, recall: 0.9995, relative_absolute_error: 0.1206, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.088, root_relative_squared_error: 0.1849, scimark_benchmark: 1319.9149, usercpu_time_millis: 70.164, usercpu_time_millis_testing: 2.866, usercpu_time_millis_training: 67.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1934.3143, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0046, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0085, root_relative_squared_error: 0.0179, scimark_benchmark: 1294.6527, usercpu_time_millis: 23.568, usercpu_time_millis_testing: 0.468, usercpu_time_millis_training: 23.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9954, kb_relative_information_score: 1733.7705, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9313, recall: 0.9979, relative_absolute_error: 0.1378, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.2061, scimark_benchmark: 1302.2411, usercpu_time_millis: 33.914, usercpu_time_millis_testing: 1.411, usercpu_time_millis_training: 32.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1925.1491, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0111, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0173, root_relative_squared_error: 0.0362, scimark_benchmark: 1320.149, usercpu_time_millis: 44.333, usercpu_time_millis_testing: 1.057, usercpu_time_millis_training: 43.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1935.4757, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0066, root_relative_squared_error: 0.0138, scimark_benchmark: 1309.8869, usercpu_time_millis: 52.306, usercpu_time_millis_testing: 1.348, usercpu_time_millis_training: 50.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1932.8637, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0057, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0091, root_relative_squared_error: 0.019, scimark_benchmark: 1297.2987, usercpu_time_millis: 70.704, usercpu_time_millis_testing: 1.84, usercpu_time_millis_training: 68.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1936.6479, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0029, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0055, root_relative_squared_error: 0.0116, scimark_benchmark: 1319.3437, usercpu_time_millis: 64.627, usercpu_time_millis_testing: 1.389, usercpu_time_millis_training: 63.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1870.5424, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0486, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0477, root_relative_squared_error: 0.1002, scimark_benchmark: 1302.5494, usercpu_time_millis: 97.232, usercpu_time_millis_testing: 3.443, usercpu_time_millis_training: 93.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1933.2656, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0107, root_relative_squared_error: 0.0224, scimark_benchmark: 1307.8956, usercpu_time_millis: 81.937, usercpu_time_millis_testing: 2.758, usercpu_time_millis_training: 79.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1928.0765, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.009, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0146, root_relative_squared_error: 0.0306, scimark_benchmark: 1319.1856, usercpu_time_millis: 13.041, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 12.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1920.0408, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0145, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0227, root_relative_squared_error: 0.0477, scimark_benchmark: 1315.542, usercpu_time_millis: 63.212, usercpu_time_millis_testing: 1.715, usercpu_time_millis_training: 61.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1938.5936, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0015, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0049, root_relative_squared_error: 0.0103, scimark_benchmark: 1314.8472, usercpu_time_millis: 149.942, usercpu_time_millis_testing: 2.74, usercpu_time_millis_training: 147.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1742.7885, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.1322, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.1995, scimark_benchmark: 1297.5191, usercpu_time_millis: 68.499, usercpu_time_millis_testing: 3.024, usercpu_time_millis_training: 65.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1825.3066, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9313, recall: 0.9995, relative_absolute_error: 0.0795, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.127, scimark_benchmark: 1292.3667, usercpu_time_millis: 49.903, usercpu_time_millis_testing: 2.423, usercpu_time_millis_training: 47.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1881.7016, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0411, root_relative_squared_error: 0.0864, scimark_benchmark: 1315.0757, usercpu_time_millis: 63.174, usercpu_time_millis_testing: 2.296, usercpu_time_millis_training: 60.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1782.4186, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9313, recall: 0.9995, relative_absolute_error: 0.1067, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0813, root_relative_squared_error: 0.1709, scimark_benchmark: 1294.1714, usercpu_time_millis: 71.559, usercpu_time_millis_testing: 3.634, usercpu_time_millis_training: 67.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9923, kappa: 0.9829, kb_relative_information_score: 1528.0042, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 0.9313, recall: 0.9923, relative_absolute_error: 0.265, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.3347, scimark_benchmark: 1290.1357, usercpu_time_millis: 79.407, usercpu_time_millis_testing: 5.394, usercpu_time_millis_training: 74.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1896.9749, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0307, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0334, root_relative_squared_error: 0.0702, scimark_benchmark: 1315.5645, usercpu_time_millis: 119.109, usercpu_time_millis_testing: 4.124, usercpu_time_millis_training: 114.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9955, kb_relative_information_score: 1744.8634, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9313, recall: 0.9979, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.1981, scimark_benchmark: 1290.1477, usercpu_time_millis: 33.27, usercpu_time_millis_testing: 1.503, usercpu_time_millis_training: 31.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9974, kappa: 0.9943, kb_relative_information_score: 1767.0434, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.9313, recall: 0.9974, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1835, scimark_benchmark: 1319.2669, usercpu_time_millis: 14.486, usercpu_time_millis_testing: 0.613, usercpu_time_millis_training: 13.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1835.9855, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.0714, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.1312, scimark_benchmark: 1300.4179, usercpu_time_millis: 3.138, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 2.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1937.312, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0073, root_relative_squared_error: 0.0154, scimark_benchmark: 1324.0817, usercpu_time_millis: 119.706, usercpu_time_millis_testing: 2.365, usercpu_time_millis_training: 117.341,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9933, kappa: 0.9852, kb_relative_information_score: 1567.4537, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.9313, recall: 0.9933, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.3114, scimark_benchmark: 1305.6492, usercpu_time_millis: 57.227, usercpu_time_millis_testing: 3.702, usercpu_time_millis_training: 53.525,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1789.9334, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9313, recall: 0.9995, relative_absolute_error: 0.1022, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0774, root_relative_squared_error: 0.1626, scimark_benchmark: 1318.4676, usercpu_time_millis: 82.877, usercpu_time_millis_testing: 3.379, usercpu_time_millis_training: 79.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9966, kb_relative_information_score: 1737.2888, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9313, recall: 0.9985, relative_absolute_error: 0.1358, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.2028, scimark_benchmark: 1280.9013, usercpu_time_millis: 122.975, usercpu_time_millis_testing: 5.483, usercpu_time_millis_training: 117.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9704, kappa: 0.9343, kb_relative_information_score: 1122.8352, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9711, predictive_accuracy: 0.9706, prior_entropy: 0.9313, recall: 0.9706, relative_absolute_error: 0.4881, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.264, root_relative_squared_error: 0.5547, scimark_benchmark: 1317.1832, usercpu_time_millis: 30.371, usercpu_time_millis_testing: 2.127, usercpu_time_millis_training: 28.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1939.3003, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0038, root_relative_squared_error: 0.008, scimark_benchmark: 1321.0833, usercpu_time_millis: 45.944, usercpu_time_millis_testing: 0.882, usercpu_time_millis_training: 45.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1937.3899, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0061, root_relative_squared_error: 0.0128, scimark_benchmark: 1290.0204, usercpu_time_millis: 153.788, usercpu_time_millis_testing: 3.152, usercpu_time_millis_training: 150.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1927.2422, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0096, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0154, root_relative_squared_error: 0.0323, scimark_benchmark: 1292.3287, usercpu_time_millis: 6.8, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 6.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.1768, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0004, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.001, root_relative_squared_error: 0.0021, scimark_benchmark: 1324.4806, usercpu_time_millis: 83.595, usercpu_time_millis_testing: 1.844, usercpu_time_millis_training: 81.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9898, kb_relative_information_score: 1629.4178, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 0.9313, recall: 0.9954, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.13, root_relative_squared_error: 0.2731, scimark_benchmark: 1324.3743, usercpu_time_millis: 74.732, usercpu_time_millis_testing: 4.032, usercpu_time_millis_training: 70.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9948, kappa: 0.9886, kb_relative_information_score: 1660.6133, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 0.9313, recall: 0.9948, relative_absolute_error: 0.184, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1208, root_relative_squared_error: 0.2539, scimark_benchmark: 1316.4694, usercpu_time_millis: 51.249, usercpu_time_millis_testing: 2.846, usercpu_time_millis_training: 48.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1933.7051, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0048, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0158, root_relative_squared_error: 0.0331, scimark_benchmark: 1292.4265, usercpu_time_millis: 1.726, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 1.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1840.1992, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0691, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0591, root_relative_squared_error: 0.1242, scimark_benchmark: 1317.2227, usercpu_time_millis: 33.157, usercpu_time_millis_testing: 1.461, usercpu_time_millis_training: 31.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.992, kb_relative_information_score: 1674.5969, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9313, recall: 0.9964, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.2441, scimark_benchmark: 1294.1428, usercpu_time_millis: 76.952, usercpu_time_millis_testing: 3.46, usercpu_time_millis_training: 73.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9974, kappa: 0.9943, kb_relative_information_score: 1725.9333, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.9313, recall: 0.9974, relative_absolute_error: 0.1429, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1004, root_relative_squared_error: 0.2109, scimark_benchmark: 1324.1393, usercpu_time_millis: 96.677, usercpu_time_millis_testing: 4.199, usercpu_time_millis_training: 92.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1897.7327, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0302, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0334, root_relative_squared_error: 0.0702, scimark_benchmark: 1302.9359, usercpu_time_millis: 48.015, usercpu_time_millis_testing: 1.423, usercpu_time_millis_training: 46.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.8297, kappa: 0.6149, kb_relative_information_score: 617.0389, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.867, predictive_accuracy: 0.8429, prior_entropy: 0.9313, recall: 0.8429, relative_absolute_error: 0.7343, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7741, scimark_benchmark: 1319.6526, usercpu_time_millis: 42.197, usercpu_time_millis_testing: 4.449, usercpu_time_millis_training: 37.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1911.9303, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0203, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0255, root_relative_squared_error: 0.0536, scimark_benchmark: 1300.14, usercpu_time_millis: 14.026, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 13.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9966, kb_relative_information_score: 1734.839, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9313, recall: 0.9985, relative_absolute_error: 0.1371, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.2054, scimark_benchmark: 1294.3265, usercpu_time_millis: 48.33, usercpu_time_millis_testing: 2.034, usercpu_time_millis_training: 46.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1938.4575, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0016, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0045, root_relative_squared_error: 0.0095, scimark_benchmark: 1279.6755, usercpu_time_millis: 4.819, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 4.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9715, kappa: 0.9369, kb_relative_information_score: 1182.7512, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9717, predictive_accuracy: 0.9717, prior_entropy: 0.9313, recall: 0.9717, relative_absolute_error: 0.4592, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.5246, scimark_benchmark: 1290.4282, usercpu_time_millis: 26.753, usercpu_time_millis_testing: 2.333, usercpu_time_millis_training: 24.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1915.3873, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.018, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0222, root_relative_squared_error: 0.0466, scimark_benchmark: 1304.4, usercpu_time_millis: 138.61, usercpu_time_millis_testing: 3.71, usercpu_time_millis_training: 134.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9898, kb_relative_information_score: 1709.1623, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 0.9313, recall: 0.9954, relative_absolute_error: 0.1478, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.2493, scimark_benchmark: 1308.7107, usercpu_time_millis: 1.226, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 1.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1937.7752, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0021, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0044, root_relative_squared_error: 0.0091, scimark_benchmark: 1296.7876, usercpu_time_millis: 102.216, usercpu_time_millis_testing: 2.31, usercpu_time_millis_training: 99.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1895.2429, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0318, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0355, root_relative_squared_error: 0.0745, scimark_benchmark: 1318.9014, usercpu_time_millis: 50.905, usercpu_time_millis_testing: 1.33, usercpu_time_millis_training: 49.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1919.4433, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0151, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0206, root_relative_squared_error: 0.0432, scimark_benchmark: 1302.6905, usercpu_time_millis: 102.479, usercpu_time_millis_testing: 2.677, usercpu_time_millis_training: 99.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1880.0082, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0414, root_relative_squared_error: 0.0871, scimark_benchmark: 1319.1636, usercpu_time_millis: 55.746, usercpu_time_millis_testing: 2.181, usercpu_time_millis_training: 53.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9824, kappa: 0.9611, kb_relative_information_score: 1260.3448, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 0.9313, recall: 0.9825, relative_absolute_error: 0.4168, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.4848, scimark_benchmark: 1292.5165, usercpu_time_millis: 31.835, usercpu_time_millis_testing: 2.219, usercpu_time_millis_training: 29.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.984, kappa: 0.9646, kb_relative_information_score: 1330.791, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 0.9313, recall: 0.984, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4516, scimark_benchmark: 1290.4775, usercpu_time_millis: 4.475, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 4.156,

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