DEVELOPMENT... OpenML
Run
109114

Run 109114

Task 54 (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
0.6874
Per class
Build CPU time
0.0165
Build memory
855549575.7419
F measure
0.8122
Per class
Kappa
0.4076
KB relative information score
54.3621
Mean absolute error
0.1852
Mean prior absolute error
0.3299
Number of instances
155
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8081
Per class
Predictive accuracy
0.8194
Prior entropy
0.7418
Recall
0.8194
Per class
Relative absolute error
0.5613
Root mean prior squared error
0.4048
Root mean squared error
0.4221
Root relative squared error
1.0427
SciMark benchmark
943.7751