DEVELOPMENT... OpenML
Run
108960

Run 108960

Task 265 (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
0.8051
Per class
Build CPU time
0.002
Build memory
1519391984
F measure
0.3841
Per class
Kappa
0.3679
KB relative information score
43.9925
Mean absolute error
0.2023
Mean prior absolute error
0.2653
Number of instances
120
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3082
Per class
Predictive accuracy
0.5333
Prior entropy
2.4378
Recall
0.5333
Per class
Relative absolute error
0.7624
Root mean prior squared error
0.3633
Root mean squared error
0.3136
Root relative squared error
0.8633
SciMark benchmark
916.1588