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