DEVELOPMENT... OpenML
Run
17726

Run 17726

Task 35 (Supervised Classification) dermatology Uploaded 09-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_J48(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.J48(1)_C0.25
weka.J48(1)_M2
weka.MultiBoostAB_J48(1)_C3
weka.MultiBoostAB_J48(1)_I10
weka.MultiBoostAB_J48(1)_P100
weka.MultiBoostAB_J48(1)_S1
weka.MultiBoostAB_J48(1)_Wweka.classifiers.trees.J48

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9932
Per class
F measure
0.9726
Per class
Kappa
0.9658
KB relative information score
352.5952
Mean absolute error
0.0092
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
0.9727
Per class
Predictive accuracy
0.9727
Prior entropy
2.4378
Recall
0.9727
Per class
Relative absolute error
0.0344
Root mean prior squared error
0.3649
Root mean squared error
0.0954
Root relative squared error
0.2615
SciMark benchmark
944.5663[562.29550002336991012.0561783624415482.14720472367435908.01528932595751758.3172656914378]