DEVELOPMENT... OpenML
Run
62930

Run 62930

Task 3896 (Supervised Classification) ada_agnostic 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
0.8451
Per class
Build CPU time
0.0396
Build memory
1744231753.5818
F measure
0.6605
Per class
Kappa
0.0384
KB relative information score
590.741
Mean absolute error
0.299
Mean prior absolute error
0.3732
Number of instances
4562
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.7826
Per class
Predictive accuracy
0.7576
Prior entropy
0.8085
Recall
0.7576
Per class
Relative absolute error
0.8013
Root mean prior squared error
0.4319
Root mean squared error
0.3844
Root relative squared error
0.89
SciMark benchmark
915.7224