DEVELOPMENT... OpenML
Run
61045

Run 61045

Task 3834 (Supervised Classification) mfeat-fourier 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
0.9964
Per class
Build CPU time
0.0036
Build memory
1146480284.8
F measure
0.9782
Per class
Kappa
0.8804
KB relative information score
1555.2959
Mean absolute error
0.035
Mean prior absolute error
0.1803
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.9786
Per class
Predictive accuracy
0.978
Prior entropy
0.4703
Recall
0.978
Per class
Relative absolute error
0.194
Root mean prior squared error
0.3
Root mean squared error
0.1346
Root relative squared error
0.4486
SciMark benchmark
824.2652