DEVELOPMENT... OpenML
Run
64358

Run 64358

Task 57 (Supervised Classification) ionosphere 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
0.937
Per class
Build CPU time
0.0296
Build memory
2650796604.718
F measure
0.8141
Per class
Kappa
0.5883
KB relative information score
180.9642
Mean absolute error
0.2338
Mean prior absolute error
0.4604
Number of instances
351
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.8574
Per class
Predictive accuracy
0.8291
Prior entropy
0.9425
Recall
0.8291
Per class
Relative absolute error
0.5078
Root mean prior squared error
0.4797
Root mean squared error
0.3454
Root relative squared error
0.72
SciMark benchmark
813.0234