DEVELOPMENT... OpenML
Run
109004

Run 109004

Task 1799 (Supervised Classification) dermatology Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_DecisionStump(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_DecisionStump(2)_I80
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.7951
Per class
Build CPU time
0.0021
Build memory
99323524.8
F measure
0.3594
Per class
Kappa
0.335
KB relative information score
649.0318
Mean absolute error
0.1953
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
0.3012
Per class
Predictive accuracy
0.4934
Prior entropy
2.4378
Recall
0.4934
Per class
Relative absolute error
0.7331
Root mean prior squared error
0.3649
Root mean squared error
0.3147
Root relative squared error
0.8625
SciMark benchmark
933.442