Run
17896

Run 17896

Task 1 (Supervised Classification) anneal Uploaded 09-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_BFTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(1)_S1
weka.Bagging_BFTree(1)_I20
weka.Bagging_BFTree(1)_P100
weka.Bagging_BFTree(1)_S1
weka.Bagging_BFTree(1)_Wweka.classifiers.trees.BFTree
weka.Bagging_BFTree(1)_num-slots1

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
0.9944
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9854
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9639
Cross-validation details (10-fold Crossvalidation)
KB relative information score
842.6789
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0071
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1343
Cross-validation details (10-fold Crossvalidation)
Number of instances
898
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
0.9853
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9855
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2149
Cross-validation details (10-fold Crossvalidation)
Recall
0.9855
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0525
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2582
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0582
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2255
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.3298[557.26535981662641014.7208839634673483.6674820550281909.27509318503251761.7203488120049]