DEVELOPMENT... OpenML
Run
109643

Run 109643

Task 35 (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)_I80
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
0.9696
Per class
Build CPU time
0.0309
Build memory
118532209.1585
F measure
0.9507
Per class
Kappa
0.9385
KB relative information score
341.0583
Mean absolute error
0.021
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
0.9512
Per class
Predictive accuracy
0.9508
Prior entropy
2.4378
Recall
0.9508
Per class
Relative absolute error
0.0789
Root mean prior squared error
0.3649
Root mean squared error
0.1271
Root relative squared error
0.3482
SciMark benchmark
934.6076