DEVELOPMENT... OpenML
Run
23465

Run 23465

Task 35 (Supervised Classification) dermatology Uploaded 25-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(1)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(1)_I20
weka.AdaBoostM1_RandomTree(1)_P100
weka.AdaBoostM1_RandomTree(1)_S1
weka.AdaBoostM1_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.9359
Per class
F measure
0.888
Per class
Kappa
0.8593
KB relative information score
314.6235
Mean absolute error
0.0389
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
0.889
Per class
Predictive accuracy
0.888
Prior entropy
2.4378
Recall
0.888
Per class
Relative absolute error
0.146
Root mean prior squared error
0.3649
Root mean squared error
0.19
Root relative squared error
0.5206
SciMark benchmark
594.4457[347.31989871695305894.1786698759429243.47885375332427523.0327127105643964.2184498992796]