Run
46551

Run 46551

Task 4426 (Supervised Classification) bolts Uploaded 03-11-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_LMT(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LMT(2)_I160
weka.Bagging_LMT(2)_P100
weka.Bagging_LMT(2)_S1
weka.Bagging_LMT(2)_Wweka.classifiers.trees.LMT
weka.Bagging_LMT(2)_num-slots1
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.9217
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Build CPU time
1.3987
Cross-validation details (10 times 10-fold Crossvalidation)
Build memory
121576684.16
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9024
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.7854
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
255.5723
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.178
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4571
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
400
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
0.9024
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9025
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9403
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9025
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.3893
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.477
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2741
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.5746
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
946.5848