DEVELOPMENT... OpenML
Run
64369

Run 64369

Task 3901 (Supervised Classification) jEdit_4.2_4.3 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)_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
0.69
Per class
Build CPU time
0.0221
Build memory
1286963723.1436
F measure
0.6498
Per class
Kappa
0.2909
KB relative information score
34.585
Mean absolute error
0.4555
Mean prior absolute error
0.4944
Number of instances
369
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6495
Per class
Predictive accuracy
0.6504
Prior entropy
0.992
Recall
0.6504
Per class
Relative absolute error
0.9213
Root mean prior squared error
0.4972
Root mean squared error
0.4731
Root relative squared error
0.9515
SciMark benchmark
929.2431