DEVELOPMENT... OpenML
Run
64626

Run 64626

Task 3550 (Supervised Classification) analcatdata_asbestos 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
0.7867
Per class
Build CPU time
0.0267
Build memory
338106839.4217
F measure
0.7099
Per class
Kappa
0.4117
KB relative information score
28.8754
Mean absolute error
0.3351
Mean prior absolute error
0.4943
Number of instances
83
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.7098
Per class
Predictive accuracy
0.7108
Prior entropy
0.9919
Recall
0.7108
Per class
Relative absolute error
0.678
Root mean prior squared error
0.4971
Root mean squared error
0.4256
Root relative squared error
0.8562
SciMark benchmark
998.3701