DEVELOPMENT... OpenML
Run
64758

Run 64758

Task 250 (Supervised Classification) mfeat-pixel 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
0.9668
Per class
Build CPU time
0.054
Build memory
404240024
F measure
0.8359
Per class
Kappa
0.8283
KB relative information score
287.2942
Mean absolute error
0.1421
Mean prior absolute error
0.18
Number of instances
660
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.8622
Per class
Predictive accuracy
0.8455
Prior entropy
3.3219
Recall
0.8455
Per class
Relative absolute error
0.7897
Root mean prior squared error
0.3
Root mean squared error
0.2501
Root relative squared error
0.8336
SciMark benchmark
1223.0194