DEVELOPMENT... OpenML
Run
63777

Run 63777

Task 241 (Supervised Classification) balance-scale 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
0.898
Per class
Build CPU time
0.015
Build memory
346603680
F measure
0.7349
Per class
Kappa
0.5949
KB relative information score
51.4802
Mean absolute error
0.3011
Mean prior absolute error
0.3857
Number of instances
206
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.6984
Per class
Predictive accuracy
0.7767
Prior entropy
1.3212
Recall
0.7767
Per class
Relative absolute error
0.7807
Root mean prior squared error
0.4424
Root mean squared error
0.3649
Root relative squared error
0.8249
SciMark benchmark
1024.2267