Run
63317

Run 63317

Task 281 (Supervised Classification) trains 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)_I80
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
1
Per class
Cross-validation details (33% Holdout set)
Build CPU time
0.009
Cross-validation details (33% Holdout set)
Build memory
61377888
Cross-validation details (33% Holdout set)
F measure
0.6667
Per class
Cross-validation details (33% Holdout set)
Kappa
0.4
Cross-validation details (33% Holdout set)
KB relative information score
0.6961
Cross-validation details (33% Holdout set)
Mean absolute error
0.3958
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.5
Cross-validation details (33% Holdout set)
Number of instances
3
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.8333
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.6667
Cross-validation details (33% Holdout set)
Prior entropy
1
Cross-validation details (33% Holdout set)
Recall
0.6667
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.7917
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.5
Cross-validation details (33% Holdout set)
Root mean squared error
0.4749
Cross-validation details (33% Holdout set)
Root relative squared error
0.9499
Cross-validation details (33% Holdout set)
SciMark benchmark
872.1114