Run
61312

Run 61312

Task 2353 (Supervised Classification) meta_batchincremental.arff Uploaded 16-11-2014 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)_I20
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
0.7928
Per class
Cross-validation details (33% Holdout set)
Build CPU time
0.004
Cross-validation details (33% Holdout set)
Build memory
2410487968
Cross-validation details (33% Holdout set)
F measure
0.8022
Per class
Cross-validation details (33% Holdout set)
Kappa
0.4783
Cross-validation details (33% Holdout set)
KB relative information score
3.6047
Cross-validation details (33% Holdout set)
Mean absolute error
0.1817
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2249
Cross-validation details (33% Holdout set)
Number of instances
24
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.775
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.8333
Cross-validation details (33% Holdout set)
Prior entropy
1.3842
Cross-validation details (33% Holdout set)
Recall
0.8333
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.808
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3095
Cross-validation details (33% Holdout set)
Root mean squared error
0.2802
Cross-validation details (33% Holdout set)
Root relative squared error
0.9054
Cross-validation details (33% Holdout set)
SciMark benchmark
944.3501