OpenML
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: 1, build_cpu_time: 7.91, build_memory: 1595969104, f_measure: 1, kappa: 1, kb_relative_information_score: 318.9215, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2149, recall: 1, root_mean_prior_squared_error: 0.2709, scimark_benchmark: 901.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.072, build_memory: 427713424, f_measure: 0.9921, kappa: 0.9845, kb_relative_information_score: 310.632, mean_absolute_error: 0.0021, 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: 0.0152, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0452, root_relative_squared_error: 0.1669, scimark_benchmark: 908.2898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 1.683, build_memory: 1062207112, f_measure: 0.9964, kappa: 0.9923, kb_relative_information_score: 317.057, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 1.2149, recall: 0.9966, relative_absolute_error: 0.0063, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0973, scimark_benchmark: 919.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, build_cpu_time: 0.013, build_memory: 49732992, f_measure: 0.7364, kappa: 0.4329, kb_relative_information_score: 92.2941, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.6715, predictive_accuracy: 0.8176, prior_entropy: 1.2149, recall: 0.8176, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.8218, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.096, build_memory: 164171016, f_measure: 1, kappa: 1, kb_relative_information_score: 318.9214, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2149, recall: 1, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0, root_relative_squared_error: 0, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.816, build_memory: 1586742496, f_measure: 1, kappa: 1, kb_relative_information_score: 318.9134, mean_absolute_error: 0, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2149, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0002, root_relative_squared_error: 0.0008, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 1.172, build_memory: 788245280, f_measure: 0.9967, kappa: 0.9924, kb_relative_information_score: 316.9859, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9968, predictive_accuracy: 0.9966, prior_entropy: 1.2149, recall: 0.9966, relative_absolute_error: 0.0075, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0314, root_relative_squared_error: 0.1159, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.077, build_memory: 767397824, f_measure: 1, kappa: 1, kb_relative_information_score: 318.918, mean_absolute_error: 0, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2149, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0001, root_relative_squared_error: 0.0003, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, build_cpu_time: 0.005, build_memory: 2503424360, f_measure: 0.9641, kappa: 0.9241, kb_relative_information_score: 286.9641, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.969, predictive_accuracy: 0.9662, prior_entropy: 1.2149, recall: 0.9662, relative_absolute_error: 0.0794, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.3862, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, build_cpu_time: 0.005, build_memory: 729037688, f_measure: 0.9641, kappa: 0.9241, kb_relative_information_score: 286.9641, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.969, predictive_accuracy: 0.9662, prior_entropy: 1.2149, recall: 0.9662, relative_absolute_error: 0.0794, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.3862, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.648, build_memory: 93938376, f_measure: 1, kappa: 1, kb_relative_information_score: 318.9212, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2149, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0, root_relative_squared_error: 0, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 1.878, build_memory: 2008643208, f_measure: 0.9967, kappa: 0.9924, kb_relative_information_score: 316.9084, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9968, predictive_accuracy: 0.9966, prior_entropy: 1.2149, recall: 0.9966, relative_absolute_error: 0.008, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0336, root_relative_squared_error: 0.1239, scimark_benchmark: 947.2691,
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: 0.9837, 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: 0.9726, 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: 0.9801, 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: 0.9772, 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: 0.9905, 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: 0.9596, 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: 0.9636, 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: 0.9999, 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: 0.9842, 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: 0.9363, 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: 0.9996, 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: 0.9998, 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: 0.9978, 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: 0.9978, 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: 0.9989, 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: 0.8444, 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: 0.9183, 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: 0.9956, 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: 0.8717, f_measure: 0.8415, kappa: 0.5702, kb_relative_information_score: 151.9497, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9679, predictive_accuracy: 0.7568, prior_entropy: 1.2149, recall: 0.7568, relative_absolute_error: 0.575, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2847, root_relative_squared_error: 1.0511, scimark_benchmark: 1368.9272, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9897, kappa: 0.9766, kb_relative_information_score: 309.6855, mean_absolute_error: 0.0034, 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: 0.024, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0581, root_relative_squared_error: 0.2145, scimark_benchmark: 1372.2145, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
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: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9764, kappa: 0.9605, kb_relative_information_score: 296.0985, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.97, predictive_accuracy: 0.9831, prior_entropy: 1.2149, recall: 0.9831, relative_absolute_error: 0.0474, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.2721, scimark_benchmark: 1066.833, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.074, build_memory: 113588840, f_measure: 0.9921, kappa: 0.9845, kb_relative_information_score: 310.632, mean_absolute_error: 0.0021, 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: 0.0152, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0452, root_relative_squared_error: 0.1669, scimark_benchmark: 917.4547,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9854, kappa: 0.969, kb_relative_information_score: 302.2193, mean_absolute_error: 0.0045, 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: 0.0319, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.067, root_relative_squared_error: 0.2472, scimark_benchmark: 1299.5783, usercpu_time_millis: 1490, usercpu_time_millis_training: 1490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9289, kappa: 0.8512, kb_relative_information_score: 272.3036, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9229, predictive_accuracy: 0.9358, prior_entropy: 1.2149, recall: 0.9358, relative_absolute_error: 0.1712, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.4409, scimark_benchmark: 916.6405, usercpu_time_millis: 160, usercpu_time_millis_testing: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.7364, kappa: 0.4329, kb_relative_information_score: 92.2941, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.6715, predictive_accuracy: 0.8176, prior_entropy: 1.2149, recall: 0.8176, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.8218, scimark_benchmark: 933.3136, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 0.8068, 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: 0.9941, 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: 0.9695, 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: 0.9867, 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: 0.9915, f_measure: 0.949, kappa: 0.8971, kb_relative_information_score: 245.721, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9444, predictive_accuracy: 0.9561, prior_entropy: 1.2149, recall: 0.9561, relative_absolute_error: 0.3461, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.4658, scimark_benchmark: 1307.3269, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9697, kappa: 0.9452, kb_relative_information_score: 248.4786, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9635, predictive_accuracy: 0.9764, prior_entropy: 1.2149, recall: 0.9764, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.4497, scimark_benchmark: 1330.0694, 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: 1384.8417, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9932, kappa: 0.9846, kb_relative_information_score: 300.2423, mean_absolute_error: 0.0143, 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: 0.1012, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.2116, scimark_benchmark: 1322.7257, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
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: 0.94, 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: 0.8797, 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: 0.9869, 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: 0.9867, 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: 906.0979,
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: 819.5729, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 941.6675, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
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: 941.3847, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
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: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9853, kappa: 0.9687, kb_relative_information_score: 288.3837, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9867, predictive_accuracy: 0.9865, prior_entropy: 1.2149, recall: 0.9865, relative_absolute_error: 0.1636, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0712, root_relative_squared_error: 0.2628,

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