Run
77982

Run 77982

Task 29 (Supervised Classification) credit-approval Uploaded 01-12-2014 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_RandomForest(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomForest(2)_I80
weka.Bagging_RandomForest(2)_P100
weka.Bagging_RandomForest(2)_S1
weka.Bagging_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.Bagging_RandomForest(2)_num-slots1
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.931
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
8.882
Cross-validation details (10-fold Crossvalidation)
Build memory
1101889808
Cross-validation details (10-fold Crossvalidation)
F measure
0.8724
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7415
Cross-validation details (10-fold Crossvalidation)
KB relative information score
386.3844
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2365
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
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
0.8723
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8725
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8725
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4788
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3194
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6427
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
932.8277