DEVELOPMENT... OpenML
Run
135776

Run 135776

Task 3873 (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)_I40
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
0.9499
Per class
Build CPU time
0.0024
Build memory
1850491367.2568
F measure
0.9508
Per class
Kappa
0.8842
KB relative information score
320.8346
Mean absolute error
0.0484
Mean prior absolute error
0.4251
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
0.9508
Per class
Predictive accuracy
0.9508
Prior entropy
0.8898
Recall
0.9508
Per class
Relative absolute error
0.1139
Root mean prior squared error
0.4608
Root mean squared error
0.2159
Root relative squared error
0.4685
SciMark benchmark
934.6076