DEVELOPMENT... OpenML
Run
116962

Run 116962

Task 284 (Supervised Classification) hepatitis Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I80
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.6447
Per class
Build CPU time
0.97
Build memory
1067945704
F measure
0.7492
Per class
Kappa
0.3108
KB relative information score
13.6641
Mean absolute error
0.2417
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
0.7448
Per class
Predictive accuracy
0.7647
Prior entropy
0.7418
Recall
0.7647
Per class
Relative absolute error
0.6751
Root mean prior squared error
0.4381
Root mean squared error
0.4872
Root relative squared error
1.1121
SciMark benchmark
943.7751