DEVELOPMENT... OpenML
Run
63287

Run 63287

Task 1786 (Supervised Classification) mfeat-zernike 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)_I40
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
0.9029
Per class
Build CPU time
0.0136
Build memory
54865372.8
F measure
0.4698
Per class
Kappa
0.4687
KB relative information score
3056.2937
Mean absolute error
0.1572
Mean prior absolute error
0.18
Number of instances
10000
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.6272
Per class
Predictive accuracy
0.5218
Prior entropy
3.3219
Recall
0.5218
Per class
Relative absolute error
0.8732
Root mean prior squared error
0.3
Root mean squared error
0.2721
Root relative squared error
0.9071
SciMark benchmark
872.1114