69956 2 Joaquin Vanschoren 14 Supervised Classification 531 weka.Bagging_OneR(2) 804 weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 80 -W weka.classifiers.rules.OneR -- -B 6 I 80 531 P 100 531 S 1 531 W weka.classifiers.rules.OneR 531 num-slots 1 531 B 6 375 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 198352 description https://api.openml.org/data/download/198352/weka_generated_run3746096920119776154.xml -1 198355 model_readable https://api.openml.org/data/download/198355/WekaModel_weka.classifiers.meta.Bagging2540385082293516162.model -1 198354 model_serialized https://api.openml.org/data/download/198354/WekaSerialized_weka.classifiers.meta.Bagging601830892634827984.model -1 198353 predictions https://api.openml.org/data/download/198353/weka_generated_predictions4853362856782207045.arff area_under_roc_curve 0.79543 [0.988088,0.613878,0.798319,0.7139,0.733161,0.820779,0.736214,0.928831,0.908893,0.712236] average_cost 0 build_cpu_time 3.3454 build_memory 660853923.2 f_measure 0.37082 [0.897059,0.056225,0.281984,0.226913,0.133333,0.345098,0.236967,0.668,0.605941,0.256684] kappa 0.339444 kb_relative_information_score 796.645843 mean_absolute_error 0.128021 mean_prior_absolute_error 0.18 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.365838 [0.879808,0.142857,0.295082,0.240223,0.257143,0.283871,0.225225,0.556667,0.501639,0.275862] predictive_accuracy 0.4055 prior_entropy 3.321928 recall 0.4055 [0.915,0.035,0.27,0.215,0.09,0.44,0.25,0.835,0.765,0.24] relative_absolute_error 0.711229 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.28526 root_relative_squared_error 0.950865 scimark_benchmark 939.432706 [556.1991982197794, 1015.2555353338006, 454.3977410641456, 909.5905717413259, 1761.7204843045454] total_cost 0 area_under_roc_curve 0.776403 [0.989306,0.498889,0.743056,0.639444,0.778194,0.893333,0.694861,0.870139,0.867639,0.789167] area_under_roc_curve 0.786903 [0.969306,0.638194,0.756667,0.765556,0.747222,0.772917,0.696667,0.865139,0.912639,0.744722] area_under_roc_curve 0.786722 [0.97,0.595139,0.838889,0.649306,0.768611,0.752917,0.761111,0.920972,0.889722,0.720556] area_under_roc_curve 0.807819 [0.998333,0.546944,0.818056,0.748194,0.726944,0.880278,0.78375,0.937361,0.96125,0.677083] area_under_roc_curve 0.767514 [0.995972,0.654444,0.729028,0.701806,0.611667,0.752222,0.69375,0.936389,0.896806,0.703056] area_under_roc_curve 0.797236 [0.9925,0.647917,0.808611,0.74625,0.65625,0.819306,0.735556,0.960139,0.923889,0.681944] area_under_roc_curve 0.807264 [0.983611,0.615694,0.807639,0.726111,0.776806,0.84625,0.752639,0.948333,0.861528,0.754028] area_under_roc_curve 0.829486 [0.995,0.749583,0.807778,0.708472,0.797222,0.839583,0.823194,0.957361,0.927917,0.68875] area_under_roc_curve 0.813125 [0.998889,0.563194,0.8675,0.768889,0.726528,0.812639,0.740972,0.968056,0.975,0.709583] area_under_roc_curve 0.793361 [0.998333,0.636667,0.825417,0.679306,0.809167,0.82125,0.6925,0.928889,0.885694,0.656389] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 build_cpu_time 3.357 build_cpu_time 3.329 build_cpu_time 3.358 build_cpu_time 3.384 build_cpu_time 3.346 build_cpu_time 3.335 build_cpu_time 3.349 build_cpu_time 3.342 build_cpu_time 3.313 build_cpu_time 3.341 build_memory 160207296 build_memory 327671112 build_memory 438301336 build_memory 524233984 build_memory 639417152 build_memory 723477800 build_memory 808048544 build_memory 892195688 build_memory 1005406144 build_memory 1089580176 f_measure 0.33467 [0.820513,0.08,0.095238,0.162162,0.137931,0.384615,0.227273,0.553191,0.461538,0.424242] f_measure 0.343653 [0.883721,0.068966,0.052632,0.216216,0,0.384615,0.235294,0.612245,0.592593,0.390244] f_measure 0.399957 [0.95,0.16,0.484848,0.15,0.08,0.352941,0.255319,0.6,0.625,0.341463] f_measure 0.39167 [0.923077,0.066667,0.341463,0.232558,0.153846,0.473684,0.255319,0.692308,0.666667,0.111111] f_measure 0.348592 [0.95,0,0.1875,0.205128,0.153846,0.27451,0.333333,0.666667,0.538462,0.176471] f_measure 0.372267 [0.871795,0.076923,0.454545,0.232558,0,0.307692,0.210526,0.745098,0.588235,0.235294] f_measure 0.383963 [0.837209,0,0.222222,0.375,0.32,0.354839,0.111111,0.679245,0.64,0.3] f_measure 0.383581 [0.909091,0.090909,0.341463,0.235294,0.148148,0.296296,0.232558,0.679245,0.697674,0.205128] f_measure 0.391862 [0.923077,0,0.358974,0.266667,0.066667,0.285714,0.285714,0.730769,0.730769,0.27027] f_measure 0.35732 [0.904762,0,0.27027,0.227273,0.25,0.380952,0.186047,0.705882,0.545455,0.102564] kappa 0.283333 kappa 0.322222 kappa 0.361111 kappa 0.355556 kappa 0.305556 kappa 0.35 kappa 0.361111 kappa 0.355556 kappa 0.372222 kappa 0.327778 kb_relative_information_score 68.759435 kb_relative_information_score 77.427892 kb_relative_information_score 79.876051 kb_relative_information_score 82.949529 kb_relative_information_score 74.276387 kb_relative_information_score 81.867838 kb_relative_information_score 82.077657 kb_relative_information_score 86.856904 kb_relative_information_score 85.707597 kb_relative_information_score 76.846553 mean_absolute_error 0.135113 mean_absolute_error 0.128263 mean_absolute_error 0.128412 mean_absolute_error 0.12745 mean_absolute_error 0.132737 mean_absolute_error 0.127537 mean_absolute_error 0.1256 mean_absolute_error 0.122562 mean_absolute_error 0.1236 mean_absolute_error 0.128938 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] precision 0.344748 [0.842105,0.2,0.090909,0.176471,0.222222,0.3125,0.208333,0.481481,0.375,0.538462] precision 0.319504 [0.826087,0.111111,0.055556,0.235294,0,0.3125,0.285714,0.517241,0.470588,0.380952] precision 0.419698 [0.95,0.4,0.615385,0.15,0.2,0.290323,0.222222,0.5,0.535714,0.333333] precision 0.391258 [0.947368,0.1,0.333333,0.217391,0.333333,0.5,0.222222,0.5625,0.571429,0.125] precision 0.336809 [0.95,0,0.25,0.210526,0.157895,0.225806,0.285714,0.636364,0.4375,0.214286] precision 0.355017 [0.894737,0.166667,0.416667,0.217391,0,0.25,0.222222,0.612903,0.483871,0.285714] precision 0.40983 [0.782609,0,0.25,0.5,0.8,0.261905,0.125,0.545455,0.533333,0.3] precision 0.409894 [0.833333,0.5,0.333333,0.285714,0.285714,0.235294,0.217391,0.545455,0.652174,0.210526] precision 0.379236 [0.947368,0,0.368421,0.4,0.1,0.222222,0.272727,0.59375,0.59375,0.294118] precision 0.376812 [0.863636,0,0.294118,0.208333,0.75,0.363636,0.173913,0.580645,0.428571,0.105263] predictive_accuracy 0.355 predictive_accuracy 0.39 predictive_accuracy 0.425 predictive_accuracy 0.42 predictive_accuracy 0.375 predictive_accuracy 0.415 predictive_accuracy 0.425 predictive_accuracy 0.42 predictive_accuracy 0.435 predictive_accuracy 0.395 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 recall 0.355 [0.8,0.05,0.1,0.15,0.1,0.5,0.25,0.65,0.6,0.35] recall 0.39 [0.95,0.05,0.05,0.2,0,0.5,0.2,0.75,0.8,0.4] recall 0.425 [0.95,0.1,0.4,0.15,0.05,0.45,0.3,0.75,0.75,0.35] recall 0.42 [0.9,0.05,0.35,0.25,0.1,0.45,0.3,0.9,0.8,0.1] recall 0.375 [0.95,0,0.15,0.2,0.15,0.35,0.4,0.7,0.7,0.15] recall 0.415 [0.85,0.05,0.5,0.25,0,0.4,0.2,0.95,0.75,0.2] recall 0.425 [0.9,0,0.2,0.3,0.2,0.55,0.1,0.9,0.8,0.3] recall 0.42 [1,0.05,0.35,0.2,0.1,0.4,0.25,0.9,0.75,0.2] recall 0.435 [0.9,0,0.35,0.2,0.05,0.4,0.3,0.95,0.95,0.25] recall 0.395 [0.95,0,0.25,0.25,0.15,0.4,0.2,0.9,0.75,0.1] relative_absolute_error 0.750625 relative_absolute_error 0.712569 relative_absolute_error 0.713403 relative_absolute_error 0.708056 relative_absolute_error 0.737431 relative_absolute_error 0.708542 relative_absolute_error 0.697778 relative_absolute_error 0.680903 relative_absolute_error 0.686667 relative_absolute_error 0.716319 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.299674 root_mean_squared_error 0.289176 root_mean_squared_error 0.285792 root_mean_squared_error 0.277924 root_mean_squared_error 0.294328 root_mean_squared_error 0.284272 root_mean_squared_error 0.281234 root_mean_squared_error 0.278699 root_mean_squared_error 0.272585 root_mean_squared_error 0.287882 root_relative_squared_error 0.998913 root_relative_squared_error 0.963921 root_relative_squared_error 0.95264 root_relative_squared_error 0.926412 root_relative_squared_error 0.981094 root_relative_squared_error 0.947574 root_relative_squared_error 0.937448 root_relative_squared_error 0.928997 root_relative_squared_error 0.908617 root_relative_squared_error 0.959605 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0