Task
Supervised Classification on anneal

Supervised Classification on anneal

Task 231 Supervised Classification anneal 300 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9632, kappa: 0.9302, kb_relative_information_score: 257.9866, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9576, predictive_accuracy: 0.9696, prior_entropy: 1.2149, recall: 0.9696, relative_absolute_error: 0.3035, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.4168, scimark_benchmark: 1345.7582, usercpu_time_millis: 420, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9887, kappa: 0.9766, kb_relative_information_score: 299.5491, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.99, predictive_accuracy: 0.9899, prior_entropy: 1.2149, recall: 0.9899, relative_absolute_error: 0.0793, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.2334, scimark_benchmark: 1332.576, usercpu_time_millis: 730, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9558, kappa: 0.9113, kb_relative_information_score: 287.7226, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9502, predictive_accuracy: 0.9628, prior_entropy: 1.2149, recall: 0.9628, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.3758, scimark_benchmark: 1348.7888, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9864, kappa: 0.9689, kb_relative_information_score: 306.2661, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9865, predictive_accuracy: 0.9865, prior_entropy: 1.2149, recall: 0.9865, relative_absolute_error: 0.0509, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0662, root_relative_squared_error: 0.2443, scimark_benchmark: 1449.4352, usercpu_time_millis: 460, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9697, kappa: 0.9447, kb_relative_information_score: 252.3207, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9633, predictive_accuracy: 0.9764, prior_entropy: 1.2149, recall: 0.9764, relative_absolute_error: 0.331, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.439, scimark_benchmark: 1413.089, usercpu_time_millis: 180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.946, kappa: 0.8888, kb_relative_information_score: 235.0688, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9397, predictive_accuracy: 0.9527, prior_entropy: 1.2149, recall: 0.9527, relative_absolute_error: 0.3235, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.4973, scimark_benchmark: 1064.8317, usercpu_time_millis: 1900, usercpu_time_millis_testing: 1900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.937, kappa: 0.8544, kb_relative_information_score: 263.2338, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9396, predictive_accuracy: 0.9392, prior_entropy: 1.2149, recall: 0.9392, relative_absolute_error: 0.1986, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.4993, scimark_benchmark: 1319.4881, usercpu_time_millis: 6620, usercpu_time_millis_testing: 6620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9665, kappa: 0.9239, kb_relative_information_score: 291.1279, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.967, predictive_accuracy: 0.9662, prior_entropy: 1.2149, recall: 0.9662, relative_absolute_error: 0.0983, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.39, scimark_benchmark: 1331.5882, usercpu_time_millis: 80, usercpu_time_millis_testing: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.9421, kappa: 0.8789, kb_relative_information_score: 264.5983, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9374, predictive_accuracy: 0.9493, prior_entropy: 1.2149, recall: 0.9493, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.13, root_relative_squared_error: 0.4797, scimark_benchmark: 939.5205, usercpu_time_millis: 12910, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 12890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.7549, kappa: 0.5236, kb_relative_information_score: 152.4987, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.7145, predictive_accuracy: 0.8108, prior_entropy: 1.2149, recall: 0.8108, relative_absolute_error: 0.5751, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.7835, scimark_benchmark: 1339.4964, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9728, kappa: 0.9395, kb_relative_information_score: 289.6982, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.977, predictive_accuracy: 0.973, prior_entropy: 1.2149, recall: 0.973, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.3295, scimark_benchmark: 1301.2156, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.993, kappa: 0.9845, kb_relative_information_score: 309.1503, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9933, predictive_accuracy: 0.9932, prior_entropy: 1.2149, recall: 0.9932, relative_absolute_error: 0.0197, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0474, root_relative_squared_error: 0.175, scimark_benchmark: 1318.5627, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9854, kappa: 0.969, kb_relative_information_score: 303.8909, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9869, predictive_accuracy: 0.9865, prior_entropy: 1.2149, recall: 0.9865, relative_absolute_error: 0.0313, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0657, root_relative_squared_error: 0.2424, scimark_benchmark: 1332.576, usercpu_time_millis: 530, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9854, kappa: 0.969, kb_relative_information_score: 305.4859, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9869, predictive_accuracy: 0.9865, prior_entropy: 1.2149, recall: 0.9865, relative_absolute_error: 0.0326, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0643, root_relative_squared_error: 0.2375, scimark_benchmark: 855.8522, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9854, kappa: 0.969, kb_relative_information_score: 304.9603, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9869, predictive_accuracy: 0.9865, prior_entropy: 1.2149, recall: 0.9865, relative_absolute_error: 0.0437, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0596, root_relative_squared_error: 0.2199, scimark_benchmark: 1270.2428, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9632, kappa: 0.9302, kb_relative_information_score: 292.6867, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9576, predictive_accuracy: 0.9696, prior_entropy: 1.2149, recall: 0.9696, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.3068, scimark_benchmark: 1270.2428, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9632, kappa: 0.9302, kb_relative_information_score: 292.2374, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9576, predictive_accuracy: 0.9696, prior_entropy: 1.2149, recall: 0.9696, relative_absolute_error: 0.1124, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.318, scimark_benchmark: 1351.6526, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9632, kappa: 0.9302, kb_relative_information_score: 287.1257, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9576, predictive_accuracy: 0.9696, prior_entropy: 1.2149, recall: 0.9696, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.3402, scimark_benchmark: 1337.6765, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.97, kappa: 0.9372, kb_relative_information_score: 296.6584, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 1.2149, recall: 0.973, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.3061, scimark_benchmark: 994.8259, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9441, kappa: 0.8731, kb_relative_information_score: 270.1495, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9438, predictive_accuracy: 0.9459, prior_entropy: 1.2149, recall: 0.9459, relative_absolute_error: 0.1405, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.4857, scimark_benchmark: 1384.8417, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9441, kappa: 0.8731, kb_relative_information_score: 270.1495, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9438, predictive_accuracy: 0.9459, prior_entropy: 1.2149, recall: 0.9459, relative_absolute_error: 0.1405, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.4857, scimark_benchmark: 1360.2771, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9558, kappa: 0.9113, kb_relative_information_score: 287.7226, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9502, predictive_accuracy: 0.9628, prior_entropy: 1.2149, recall: 0.9628, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.3758, scimark_benchmark: 1350.9691, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.8644, kappa: 0.7157, kb_relative_information_score: 212.9821, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9104, predictive_accuracy: 0.8514, prior_entropy: 1.2149, recall: 0.8514, relative_absolute_error: 0.3838, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.7793, scimark_benchmark: 1345.1228, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8675, kappa: 0.7211, kb_relative_information_score: 213.4555, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.912, predictive_accuracy: 0.8547, prior_entropy: 1.2149, recall: 0.8547, relative_absolute_error: 0.3825, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.7805, scimark_benchmark: 1350.9691, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8622, kappa: 0.7321, kb_relative_information_score: 144.579, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8321, predictive_accuracy: 0.8953, prior_entropy: 1.2149, recall: 0.8953, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.674, scimark_benchmark: 1333.5799, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9149, kappa: 0.8567, kb_relative_information_score: 299.8094, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8893, predictive_accuracy: 0.9426, prior_entropy: 1.2149, recall: 0.9426, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0767, root_relative_squared_error: 0.2831, scimark_benchmark: 1333.5799, usercpu_time_millis: 39230, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 39180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9665, kappa: 0.9239, kb_relative_information_score: 293.8788, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.967, predictive_accuracy: 0.9662, prior_entropy: 1.2149, recall: 0.9662, relative_absolute_error: 0.0799, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.3917, scimark_benchmark: 1419.2433, usercpu_time_millis: 390, usercpu_time_millis_testing: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9904, kappa: 0.9769, kb_relative_information_score: 198.0835, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9912, predictive_accuracy: 0.9899, prior_entropy: 1.2149, recall: 0.9899, relative_absolute_error: 0.5304, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1328, root_relative_squared_error: 0.4903, scimark_benchmark: 1310.934, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8068, f_measure: 0.7098, kappa: 0.4202, kb_relative_information_score: 103.713, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.6966, predictive_accuracy: 0.7466, prior_entropy: 1.2149, recall: 0.7466, relative_absolute_error: 0.7115, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.8653, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9696, kappa: 0.9441, kb_relative_information_score: 290.591, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9636, predictive_accuracy: 0.9764, prior_entropy: 1.2149, recall: 0.9764, relative_absolute_error: 0.0633, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.3236, scimark_benchmark: 1334.3805, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.973, kappa: 0.9528, kb_relative_information_score: 291.2363, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9666, predictive_accuracy: 0.9797, prior_entropy: 1.2149, recall: 0.9797, relative_absolute_error: 0.0479, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.2838, scimark_benchmark: 1293.1919, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9632, kappa: 0.9302, kb_relative_information_score: 293.3743, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9576, predictive_accuracy: 0.9696, prior_entropy: 1.2149, recall: 0.9696, relative_absolute_error: 0.1089, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0813, root_relative_squared_error: 0.3, scimark_benchmark: 1329.4192, usercpu_time_millis: 730, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.7827, kappa: 0.4617, kb_relative_information_score: 152.1037, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8448, predictive_accuracy: 0.8243, prior_entropy: 1.2149, recall: 0.8243, relative_absolute_error: 0.4152, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.242, root_relative_squared_error: 0.8932, scimark_benchmark: 918.0213, usercpu_time_millis: 740, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9921, kappa: 0.9845, kb_relative_information_score: 307.2268, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9933, predictive_accuracy: 0.9932, prior_entropy: 1.2149, recall: 0.9932, relative_absolute_error: 0.0187, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.18, scimark_benchmark: 930.5999, usercpu_time_millis: 1800, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.7662, kappa: 0.5734, kb_relative_information_score: -5.0579, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8658, predictive_accuracy: 0.7466, prior_entropy: 1.2149, recall: 0.7466, relative_absolute_error: 1.1628, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2829, root_relative_squared_error: 1.0442, scimark_benchmark: 1321.6263, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6202, kb_relative_information_score: 3.7519, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.5374, predictive_accuracy: 0.7331, prior_entropy: 1.2149, recall: 0.7331, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2712, root_relative_squared_error: 1.0012, scimark_benchmark: 932.0242, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.9593, kappa: 0.9213, kb_relative_information_score: -196.554, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.954, predictive_accuracy: 0.9662, prior_entropy: 1.2149, recall: 0.9662, relative_absolute_error: 1.8447, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.3563, root_relative_squared_error: 1.3153, scimark_benchmark: 1321.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6202, kb_relative_information_score: 3.7519, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.5374, predictive_accuracy: 0.7331, prior_entropy: 1.2149, recall: 0.7331, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2712, root_relative_squared_error: 1.0012, scimark_benchmark: 1363.434, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, build_cpu_time: 0.193, build_memory: 851549208, f_measure: 0.9212, kappa: 0.8366, kb_relative_information_score: 256.6322, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.931, predictive_accuracy: 0.9223, prior_entropy: 1.2149, recall: 0.9223, relative_absolute_error: 0.1885, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.5225, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, build_cpu_time: 0.201, build_memory: 476825560, f_measure: 0.9212, kappa: 0.8366, kb_relative_information_score: 256.6322, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.931, predictive_accuracy: 0.9223, prior_entropy: 1.2149, recall: 0.9223, relative_absolute_error: 0.1885, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.5225, scimark_benchmark: 937.9119,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, build_cpu_time: 20.153, build_memory: 15003320, f_measure: 0.9562, kappa: 0.9131, kb_relative_information_score: 288.5576, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9499, predictive_accuracy: 0.9628, prior_entropy: 1.2149, recall: 0.9628, relative_absolute_error: 0.1033, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1026, root_relative_squared_error: 0.3785, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 42.277, build_memory: 455577696, f_measure: 0.9728, kappa: 0.9379, kb_relative_information_score: 300.1518, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9731, predictive_accuracy: 0.973, prior_entropy: 1.2149, recall: 0.973, relative_absolute_error: 0.067, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.3192, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, build_cpu_time: 75.737, build_memory: 213790632, f_measure: 0.9635, kappa: 0.9218, kb_relative_information_score: 290.1526, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9673, predictive_accuracy: 0.9662, prior_entropy: 1.2149, recall: 0.9662, relative_absolute_error: 0.0739, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3557, scimark_benchmark: 942.3919,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs