DEVELOPMENT... OpenML
Run
95197

Run 95197

Task 284 (Supervised Classification) hepatitis Uploaded 08-12-2014 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)_I10
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
0.6984
Per class
Build CPU time
0.008
Build memory
10002880
F measure
0.6799
Per class
Kappa
0.1136
KB relative information score
5.3833
Mean absolute error
0.2896
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
0.6674
Per class
Predictive accuracy
0.7059
Prior entropy
0.7418
Recall
0.7059
Per class
Relative absolute error
0.8092
Root mean prior squared error
0.4381
Root mean squared error
0.4754
Root relative squared error
1.0852
SciMark benchmark
940.7816