DEVELOPMENT... OpenML
Run
109159

Run 109159

Task 284 (Supervised Classification) hepatitis 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
0.6903
Per class
Build CPU time
0.011
Build memory
166074024
F measure
0.7647
Per class
Kappa
0.3806
KB relative information score
14.4666
Mean absolute error
0.2403
Mean prior absolute error
0.3579
Number of instances
51
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7647
Per class
Predictive accuracy
0.7647
Prior entropy
0.7418
Recall
0.7647
Per class
Relative absolute error
0.6713
Root mean prior squared error
0.4381
Root mean squared error
0.4806
Root relative squared error
1.0969
SciMark benchmark
934.2858