DEVELOPMENT... OpenML
Run
63713

Run 63713

Task 2274 (Supervised Classification) meta_ensembles.arff Uploaded 17-11-2014 by Felicia West
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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
0.6613
Per class
Build CPU time
0.0113
Build memory
2648037625.7297
F measure
0.5669
Per class
Kappa
0.1937
KB relative information score
13.2265
Mean absolute error
0.2606
Mean prior absolute error
0.2904
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5585
Per class
Predictive accuracy
0.6351
Prior entropy
1.5899
Recall
0.6351
Per class
Relative absolute error
0.8974
Root mean prior squared error
0.3782
Root mean squared error
0.361
Root relative squared error
0.9545
SciMark benchmark
942.9616