DEVELOPMENT... OpenML
Run
135957

Run 135957

Task 1799 (Supervised Classification) dermatology Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_RandomTree(2)_I80
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.9212
Per class
Build CPU time
0.0036
Build memory
2749941400
F measure
0.8445
Per class
Kappa
0.8049
KB relative information score
1479.9081
Mean absolute error
0.0528
Mean prior absolute error
0.2664
Number of instances
1830
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8468
Per class
Predictive accuracy
0.8443
Prior entropy
2.4378
Recall
0.8443
Per class
Relative absolute error
0.1982
Root mean prior squared error
0.3649
Root mean squared error
0.2186
Root relative squared error
0.5991
SciMark benchmark
934.6076