DEVELOPMENT... OpenML
Run
62611

Run 62611

Task 35 (Supervised Classification) dermatology 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)_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
0.9906
Per class
Build CPU time
0.0069
Build memory
370326198.4481
F measure
0.8615
Per class
Kappa
0.851
KB relative information score
263.5784
Mean absolute error
0.0943
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
0.8523
Per class
Predictive accuracy
0.8825
Prior entropy
2.4378
Recall
0.8825
Per class
Relative absolute error
0.3539
Root mean prior squared error
0.3649
Root mean squared error
0.1992
Root relative squared error
0.5461
SciMark benchmark
1212.2248

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