Run
46221

Run 46221

Task 4360 (Supervised Classification) elusage Uploaded 30-10-2014 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_LMT(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LMT(2)_I160
weka.Bagging_LMT(2)_P100
weka.Bagging_LMT(2)_S1
weka.Bagging_LMT(2)_Wweka.classifiers.trees.LMT
weka.Bagging_LMT(2)_num-slots1
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

Result files

xml
Description

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

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

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

21 Evaluation measures

Area under ROC curve
0.9559
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Build CPU time
1.9874
Cross-validation details (10 times 10-fold Crossvalidation)
Build memory
1024023173.4836
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8708
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.7372
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
341.9381
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1997
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4922
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
550
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8708
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8709
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9891
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8709
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.4058
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4959
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2927
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.5902
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
941.2105