Run
30314

Run 30314

Task 2073 (Supervised Classification) yeast 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)_I80
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
0.8437
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
2.5784
Cross-validation details (10-fold Crossvalidation)
Build memory
701074546.6631
Cross-validation details (10-fold Crossvalidation)
F measure
0.6132
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5085
Cross-validation details (10-fold Crossvalidation)
KB relative information score
728.4755
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1001
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1555
Cross-validation details (10-fold Crossvalidation)
Number of instances
1484
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
0.6108
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.622
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.5035
Cross-validation details (10-fold Crossvalidation)
Recall
0.622
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.644
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2787
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.228
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8182
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
930.9045