Run
32713

Run 32713

Task 4577 (Supervised Classification) white-clover Uploaded 13-10-2014 by Joaquin Vanschoren
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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
0.7875
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Build CPU time
0.1552
Cross-validation details (10 times 10-fold Crossvalidation)
Build memory
295572257.2444
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7554
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.4847
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
164.7746
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.369
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4794
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
630
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
0.7561
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7587
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.971
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7587
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.7697
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4893
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4256
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.87
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
945.7909