DEVELOPMENT... OpenML
Run
63405

Run 63405

Task 2353 (Supervised Classification) meta_batchincremental.arff 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)_I80
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
0.8613
Per class
Build CPU time
0.011
Build memory
100551112
F measure
0.8438
Per class
Kappa
0.64
KB relative information score
4.0713
Mean absolute error
0.179
Mean prior absolute error
0.2249
Number of instances
24
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.825
Per class
Predictive accuracy
0.875
Prior entropy
1.3842
Recall
0.875
Per class
Relative absolute error
0.7961
Root mean prior squared error
0.3095
Root mean squared error
0.2737
Root relative squared error
0.8842
SciMark benchmark
1024.2267