DEVELOPMENT... OpenML
Run
64746

Run 64746

Task 244 (Supervised Classification) mfeat-fourier Uploaded 18-11-2014 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)_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
0.9321
Per class
Build CPU time
0.052
Build memory
1273857120
F measure
0.4515
Per class
Kappa
0.4325
KB relative information score
211.4312
Mean absolute error
0.1566
Mean prior absolute error
0.18
Number of instances
660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6173
Per class
Predictive accuracy
0.4864
Prior entropy
3.3219
Recall
0.4864
Per class
Relative absolute error
0.8701
Root mean prior squared error
0.3
Root mean squared error
0.273
Root relative squared error
0.9101
SciMark benchmark
945.5575