DEVELOPMENT... OpenML
Run
38203

Run 38203

Task 4578 (Supervised Classification) dermatology Uploaded 28-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I20
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

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
1
Per class
Build CPU time
0.0071
Build memory
376930510.1377
F measure
0.9986
Per class
Kappa
0.9968
KB relative information score
3588.9213
Mean absolute error
0.0097
Mean prior absolute error
0.4251
Number of instances
3660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9986
Per class
Predictive accuracy
0.9986
Prior entropy
0.8898
Recall
0.9986
Per class
Relative absolute error
0.0229
Root mean prior squared error
0.4608
Root mean squared error
0.0417
Root relative squared error
0.0905
SciMark benchmark
943.1654