DEVELOPMENT... OpenML
Run
60759

Run 60759

Task 3716 (Supervised Classification) tecator 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)_I10
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
0.9443
Per class
Build CPU time
0.0012
Build memory
526857811.2
F measure
0.8716
Per class
Kappa
0.7413
KB relative information score
157.0831
Mean absolute error
0.1811
Mean prior absolute error
0.4888
Number of instances
240
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.881
Per class
Predictive accuracy
0.8708
Prior entropy
0.984
Recall
0.8708
Per class
Relative absolute error
0.3704
Root mean prior squared error
0.4943
Root mean squared error
0.2968
Root relative squared error
0.6003
SciMark benchmark
813.0234