DEVELOPMENT... OpenML
Run
118511

Run 118511

Task 1799 (Supervised Classification) dermatology Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I10
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.99
Per class
Build CPU time
2.2967
Build memory
917566836
F measure
0.9597
Per class
Kappa
0.9494
KB relative information score
1739.9245
Mean absolute error
0.0134
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
0.96
Per class
Predictive accuracy
0.9596
Prior entropy
2.4378
Recall
0.9596
Per class
Relative absolute error
0.0503
Root mean prior squared error
0.3649
Root mean squared error
0.111
Root relative squared error
0.3043
SciMark benchmark
916.8516