DEVELOPMENT... OpenML
Run
163853

Run 163853

Task 35 (Supervised Classification) dermatology Uploaded 16-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I80
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_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.

22 Evaluation measures

Area under ROC curve
0.7686
Per class
F measure
0.3497
Per class
Kappa
0.3397
KB relative information score
134.3949
Mean absolute error
0.2033
Mean prior absolute error
0.2664
Number of instances
366
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2755
Per class
Predictive accuracy
0.5027
Prior entropy
2.4378
Recall
0.5027
Per class
Relative absolute error
0.763
Root mean prior squared error
0.3649
Root mean squared error
0.3191
Root relative squared error
0.8744
SciMark benchmark
938.4278

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