Run
79112

Run 79112

Task 3621 (Supervised Classification) sleuth_ex1605 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_RandomTree(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomTree(2)_I80
weka.Bagging_RandomTree(2)_P100
weka.Bagging_RandomTree(2)_S1
weka.Bagging_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.Bagging_RandomTree(2)_num-slots1
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.8704
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0156
Cross-validation details (10-fold Crossvalidation)
Build memory
2414112605.9355
Cross-validation details (10-fold Crossvalidation)
F measure
0.7742
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5484
Cross-validation details (10-fold Crossvalidation)
KB relative information score
28.1178
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2839
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
62
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
0.7742
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7742
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.7742
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5677
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.383
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7661
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
874.7213