DEVELOPMENT... OpenML
Run
109142

Run 109142

Task 265 (Supervised Classification) dermatology Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_IBk(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_IBk(2)_I40
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1
weka.AdaBoostM1_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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
0.9571
Per class
Build CPU time
0.021
Build memory
309992832
F measure
0.918
Per class
Kappa
0.8952
KB relative information score
106.4956
Mean absolute error
0.0323
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
0.9245
Per class
Predictive accuracy
0.9167
Prior entropy
2.4378
Recall
0.9167
Per class
Relative absolute error
0.1219
Root mean prior squared error
0.3633
Root mean squared error
0.1587
Root relative squared error
0.4367
SciMark benchmark
916.8903