DEVELOPMENT... OpenML
Run
105137

Run 105137

Task 54 (Supervised Classification) hepatitis Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_ADTree(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.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.7885
Per class
Build CPU time
0.0879
Build memory
1319031475.2
F measure
0.7669
Per class
Kappa
0.2686
KB relative information score
35.5377
Mean absolute error
0.2159
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
0.7613
Per class
Predictive accuracy
0.7742
Prior entropy
0.7418
Recall
0.7742
Per class
Relative absolute error
0.6545
Root mean prior squared error
0.4048
Root mean squared error
0.4421
Root relative squared error
1.0922
SciMark benchmark
933.1799