Run
29531

Run 29531

Task 4505 (Supervised Classification) fri_c3_500_50 Uploaded 12-10-2014 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)_I40
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
0.9386
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Build CPU time
0.9938
Cross-validation details (10 times 10-fold Crossvalidation)
Build memory
88090874
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8658
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.7264
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
2890.8186
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2236
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4918
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
5000
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
0.8666
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8664
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9882
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8664
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.4546
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4959
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.313
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.6312
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
944.9538