DEVELOPMENT... OpenML
Run
63363

Run 63363

Task 35 (Supervised Classification) dermatology 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
0.9908
Per class
Build CPU time
0.0143
Build memory
164532248.4372
F measure
0.8661
Per class
Kappa
0.858
KB relative information score
262.5474
Mean absolute error
0.0959
Mean prior absolute error
0.2664
Number of instances
366
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.8537
Per class
Predictive accuracy
0.888
Prior entropy
2.4378
Recall
0.888
Per class
Relative absolute error
0.3601
Root mean prior squared error
0.3649
Root mean squared error
0.2004
Root relative squared error
0.5491
SciMark benchmark
1024.2267