DEVELOPMENT... OpenML
Run
62581

Run 62581

Task 29 (Supervised Classification) credit-approval 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
0.9066
Per class
Build CPU time
0.0104
Build memory
278744007.2
F measure
0.8554
Per class
Kappa
0.7116
KB relative information score
398.4262
Mean absolute error
0.2257
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.8663
Per class
Predictive accuracy
0.8551
Prior entropy
0.9913
Recall
0.8551
Per class
Relative absolute error
0.4569
Root mean prior squared error
0.497
Root mean squared error
0.3398
Root relative squared error
0.6837
SciMark benchmark
1248.2043