Run
46448

Run 46448

Task 4654 (Supervised Classification) teachingAssistant Uploaded 01-11-2014 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
0.7639
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Build CPU time
34.1254
Cross-validation details (10 times 10-fold Crossvalidation)
Build memory
377631989.6318
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.6152
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.4233
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
545.6174
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.3207
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4443
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1510
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
0.6184
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.6152
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1.5845
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.6152
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.7217
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4713
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4245
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9006
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
944.0386