Run
23160

Run 23160

Task 51 (Supervised Classification) trains Uploaded 24-06-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_LADTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LADTree(1)_I40
weka.Bagging_LADTree(1)_P100
weka.Bagging_LADTree(1)_S1
weka.Bagging_LADTree(1)_Wweka.classifiers.trees.LADTree
weka.Bagging_LADTree(1)_num-slots1
weka.LADTree(1)_B10

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.48
Per class
F measure
0.4
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.2
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.3723
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.516
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
10
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.4
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0321
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5806
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1611
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
923.7727[543.3771399600645972.2275552423406472.1819953046527896.21881802907471734.8581099187907]