Run
32055

Run 32055

Task 4433 (Supervised Classification) sleuth_ex2015 Uploaded 13-10-2014 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_J48(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(2)_I160
weka.Bagging_J48(2)_P100
weka.Bagging_J48(2)_S1
weka.Bagging_J48(2)_Wweka.classifiers.trees.J48
weka.Bagging_J48(2)_num-slots1
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.6714
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Build CPU time
0.0494
Cross-validation details (10 times 10-fold Crossvalidation)
Build memory
1091118476.88
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.6691
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.331
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
119.9288
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.4049
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4952
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
600
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
0.6749
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.675
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9932
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.675
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.8177
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4975
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4822
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9692
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
947.0991