68026
2
Joaquin Vanschoren
14
Supervised Classification
530
weka.Bagging_NaiveBayes(2)
802
weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 160 -W weka.classifiers.bayes.NaiveBayes
I
160
530
P
100
530
S
1
530
W
weka.classifiers.bayes.NaiveBayes
530
num-slots
1
530
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
190594
description
https://api.openml.org/data/download/190594/weka_generated_run6692979340130423092.xml
-1
190597
model_readable
https://api.openml.org/data/download/190597/WekaModel_weka.classifiers.meta.Bagging375646718395805744.model
-1
190596
model_serialized
https://api.openml.org/data/download/190596/WekaSerialized_weka.classifiers.meta.Bagging6122953060384065643.model
-1
190595
predictions
https://api.openml.org/data/download/190595/weka_generated_predictions4329165089296282579.arff
area_under_roc_curve
0.959514 [0.9925,0.925964,0.986472,0.974278,0.931971,0.986361,0.920317,0.971919,0.988836,0.916525]
average_cost
0
build_cpu_time
4.365
build_memory
1125002890.4
f_measure
0.76484 [0.966408,0.663848,0.910526,0.828877,0.713924,0.870647,0.472727,0.804819,0.953086,0.463542]
kappa
0.737778
kb_relative_information_score
1567.764396
mean_absolute_error
0.049121
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
0.771022 [1,0.575092,0.961111,0.890805,0.723077,0.866337,0.491892,0.776744,0.941463,0.483696]
predictive_accuracy
0.764
prior_entropy
3.321928
recall
0.764 [0.935,0.785,0.865,0.775,0.705,0.875,0.455,0.835,0.965,0.445]
relative_absolute_error
0.272892
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.191369
root_relative_squared_error
0.637897
scimark_benchmark
947.384641 [557.2654022646841, 1015.2555353338006, 484.54051677983614, 912.4399121942508, 1767.4218398162996]
total_cost
0
area_under_roc_curve
0.954597 [0.975,0.943333,0.993333,0.979167,0.927778,0.998889,0.852222,0.9625,0.995694,0.918056]
area_under_roc_curve
0.956042 [1,0.930694,0.971389,0.96625,0.882778,0.991389,0.945833,0.959028,0.973889,0.939167]
area_under_roc_curve
0.959069 [0.95,0.932778,0.997778,0.944167,0.968194,0.989444,0.925278,0.940417,0.996806,0.945833]
area_under_roc_curve
0.967611 [1,0.923056,0.996944,0.989722,0.980556,0.995556,0.927778,0.937361,0.974028,0.951111]
area_under_roc_curve
0.946597 [1,0.859583,0.970833,0.918333,0.926944,0.984722,0.912222,0.986111,1,0.907222]
area_under_roc_curve
0.961778 [1,0.923472,1,0.980417,0.93875,0.970972,0.912222,0.990278,1,0.901667]
area_under_roc_curve
0.961875 [1,0.905278,0.971944,0.992222,0.931528,0.965556,0.937083,0.985556,0.999722,0.929861]
area_under_roc_curve
0.977528 [1,0.956944,0.998889,0.994167,0.948472,0.994722,0.95625,0.988611,0.999722,0.9375]
area_under_roc_curve
0.964556 [1,0.919583,1,0.991667,0.925,0.966528,0.952222,0.99,1,0.900556]
area_under_roc_curve
0.949111 [1,0.966528,0.960694,0.988056,0.890417,0.999444,0.904306,0.983056,0.948333,0.850278]
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
4.575
build_cpu_time
4.547
build_cpu_time
4.272
build_cpu_time
4.312
build_cpu_time
4.469
build_cpu_time
4.237
build_cpu_time
4.309
build_cpu_time
4.466
build_cpu_time
4.253
build_cpu_time
4.21
build_memory
375585352
build_memory
1633842888
build_memory
1293804448
build_memory
978511192
build_memory
592644808
build_memory
1614122456
build_memory
1154866352
build_memory
707037160
build_memory
1635423928
build_memory
1264190320
f_measure
0.71525 [0.947368,0.641509,0.820513,0.842105,0.810811,0.95,0.157895,0.722222,0.952381,0.307692]
f_measure
0.771928 [1,0.638298,0.894737,0.923077,0.685714,0.829268,0.55814,0.780488,0.923077,0.486486]
f_measure
0.769997 [0.918919,0.576923,0.888889,0.702703,0.772727,0.894737,0.631579,0.75,0.952381,0.611111]
f_measure
0.785058 [0.918919,0.651163,0.888889,0.878049,0.727273,0.904762,0.628571,0.769231,0.883721,0.6]
f_measure
0.726843 [1,0.595745,0.864865,0.777778,0.604651,0.790698,0.461538,0.809524,1,0.363636]
f_measure
0.756061 [0.974359,0.761905,1,0.764706,0.634146,0.878049,0.368421,0.844444,0.97561,0.358974]
f_measure
0.7881 [0.947368,0.714286,0.947368,0.857143,0.702703,0.829268,0.615385,0.818182,0.97561,0.473684]
f_measure
0.795391 [1,0.693878,0.923077,0.9,0.742857,0.842105,0.577778,0.829268,0.974359,0.470588]
f_measure
0.794081 [0.974359,0.681818,0.974359,0.857143,0.731707,0.842105,0.424242,0.883721,0.97561,0.595745]
f_measure
0.735848 [0.974359,0.703704,0.894737,0.75,0.736842,0.95,0.27027,0.818182,0.918919,0.341463]
kappa
0.683333
kappa
0.744444
kappa
0.738889
kappa
0.761111
kappa
0.7
kappa
0.733333
kappa
0.766667
kappa
0.772222
kappa
0.772222
kappa
0.705556
kb_relative_information_score
149.777994
kb_relative_information_score
157.425501
kb_relative_information_score
154.21223
kb_relative_information_score
156.898563
kb_relative_information_score
148.417727
kb_relative_information_score
159.679667
kb_relative_information_score
160.574633
kb_relative_information_score
165.912646
kb_relative_information_score
163.913448
kb_relative_information_score
150.951986
mean_absolute_error
0.054399
mean_absolute_error
0.049198
mean_absolute_error
0.052184
mean_absolute_error
0.049414
mean_absolute_error
0.055538
mean_absolute_error
0.046166
mean_absolute_error
0.045748
mean_absolute_error
0.04077
mean_absolute_error
0.043909
mean_absolute_error
0.05388
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
0.728255 [1,0.515152,0.842105,0.888889,0.882353,0.95,0.166667,0.8125,0.909091,0.315789]
precision
0.781732 [1,0.555556,0.944444,0.947368,0.8,0.809524,0.521739,0.761905,0.947368,0.529412]
precision
0.789949 [1,0.46875,1,0.764706,0.708333,0.944444,0.666667,0.75,0.909091,0.6875]
precision
0.794504 [1,0.608696,1,0.857143,0.666667,0.863636,0.733333,0.789474,0.826087,0.6]
precision
0.734699 [1,0.518519,0.941176,0.875,0.565217,0.73913,0.473684,0.772727,1,0.461538]
precision
0.760173 [1,0.727273,1,0.928571,0.619048,0.857143,0.388889,0.76,0.952381,0.368421]
precision
0.790819 [1,0.681818,1,0.818182,0.764706,0.809524,0.631579,0.75,0.952381,0.5]
precision
0.809008 [1,0.586207,0.947368,0.9,0.866667,0.888889,0.52,0.809524,1,0.571429]
precision
0.806362 [1,0.625,1,1,0.714286,0.888889,0.538462,0.826087,0.952381,0.518519]
precision
0.76085 [1,0.558824,0.944444,1,0.777778,0.95,0.294118,0.75,1,0.333333]
predictive_accuracy
0.715
predictive_accuracy
0.77
predictive_accuracy
0.765
predictive_accuracy
0.785
predictive_accuracy
0.73
predictive_accuracy
0.76
predictive_accuracy
0.79
predictive_accuracy
0.795
predictive_accuracy
0.795
predictive_accuracy
0.735
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
0.715 [0.9,0.85,0.8,0.8,0.75,0.95,0.15,0.65,1,0.3]
recall
0.77 [1,0.75,0.85,0.9,0.6,0.85,0.6,0.8,0.9,0.45]
recall
0.765 [0.85,0.75,0.8,0.65,0.85,0.85,0.6,0.75,1,0.55]
recall
0.785 [0.85,0.7,0.8,0.9,0.8,0.95,0.55,0.75,0.95,0.6]
recall
0.73 [1,0.7,0.8,0.7,0.65,0.85,0.45,0.85,1,0.3]
recall
0.76 [0.95,0.8,1,0.65,0.65,0.9,0.35,0.95,1,0.35]
recall
0.79 [0.9,0.75,0.9,0.9,0.65,0.85,0.6,0.9,1,0.45]
recall
0.795 [1,0.85,0.9,0.9,0.65,0.8,0.65,0.85,0.95,0.4]
recall
0.795 [0.95,0.75,0.95,0.75,0.75,0.8,0.35,0.95,1,0.7]
recall
0.735 [0.95,0.95,0.85,0.6,0.7,0.95,0.25,0.9,0.85,0.35]
relative_absolute_error
0.302216
relative_absolute_error
0.273324
relative_absolute_error
0.289911
relative_absolute_error
0.274524
relative_absolute_error
0.308542
relative_absolute_error
0.256479
relative_absolute_error
0.254155
relative_absolute_error
0.226499
relative_absolute_error
0.243938
relative_absolute_error
0.299336
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
0.207264
root_mean_squared_error
0.187885
root_mean_squared_error
0.195828
root_mean_squared_error
0.189302
root_mean_squared_error
0.21122
root_mean_squared_error
0.18533
root_mean_squared_error
0.183578
root_mean_squared_error
0.169846
root_mean_squared_error
0.174145
root_mean_squared_error
0.204798
root_relative_squared_error
0.690881
root_relative_squared_error
0.626282
root_relative_squared_error
0.652759
root_relative_squared_error
0.631006
root_relative_squared_error
0.704067
root_relative_squared_error
0.617767
root_relative_squared_error
0.611927
root_relative_squared_error
0.566154
root_relative_squared_error
0.580484
root_relative_squared_error
0.68266
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