Run
64435

Run 64435

Task 3679 (Supervised Classification) chscase_vine2 Uploaded 17-11-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_LWL_DecisionStump(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LWL_DecisionStump(2)_I160
weka.Bagging_LWL_DecisionStump(2)_P100
weka.Bagging_LWL_DecisionStump(2)_S1
weka.Bagging_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL
weka.Bagging_LWL_DecisionStump(2)_num-slots1
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.8635
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0294
Cross-validation details (10-fold Crossvalidation)
Build memory
488445036.1538
Cross-validation details (10-fold Crossvalidation)
F measure
0.7759
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5468
Cross-validation details (10-fold Crossvalidation)
KB relative information score
139.0313
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3697
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4956
Cross-validation details (10-fold Crossvalidation)
Number of instances
468
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
0.7789
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7778
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9937
Cross-validation details (10-fold Crossvalidation)
Recall
0.7778
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.746
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4978
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4074
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8185
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
939.0518