Run
32719

Run 32719

Task 4578 (Supervised Classification) dermatology 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
0.9993
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Build CPU time
0.119
Cross-validation details (10 times 10-fold Crossvalidation)
Build memory
313491623.6831
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9858
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.9667
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
3477.4667
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0217
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4251
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
3660
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
0.986
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9858
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.8898
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9858
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.051
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4608
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.0993
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.2154
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
943.7151