DEVELOPMENT... OpenML
Run
62951

Run 62951

Task 2274 (Supervised Classification) meta_ensembles.arff Uploaded 16-11-2014 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)_I40
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
0.6687
Per class
Build CPU time
0.0042
Build memory
900624410.2703
F measure
0.5783
Per class
Kappa
0.2137
KB relative information score
13.6408
Mean absolute error
0.2596
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
0.5844
Per class
Predictive accuracy
0.6486
Prior entropy
1.5899
Recall
0.6486
Per class
Relative absolute error
0.8939
Root mean prior squared error
0.3782
Root mean squared error
0.3587
Root relative squared error
0.9485
SciMark benchmark
929.2431