DEVELOPMENT... OpenML
Run
24814

Run 24814

Task 35 (Supervised Classification) dermatology Uploaded 18-07-2014 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)_I160
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
0.9838
Per class
F measure
0.9671
Per class
Kappa
0.959
KB relative information score
351.2193
Mean absolute error
0.0109
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
0.9674
Per class
Predictive accuracy
0.9672
Prior entropy
2.4378
Recall
0.9672
Per class
Relative absolute error
0.041
Root mean prior squared error
0.3649
Root mean squared error
0.1045
Root relative squared error
0.2865
SciMark benchmark
933.7366[563.02150163949781010.9942233373424426.25716603231893908.95975824819551759.4501199261804]