DEVELOPMENT... OpenML
Run
119537

Run 119537

Task 54 (Supervised Classification) hepatitis Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(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_LMT(2)_I10
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.8332
Per class
Build CPU time
1.222
Build memory
394909803.9226
F measure
0.8396
Per class
Kappa
0.5134
KB relative information score
66.4722
Mean absolute error
0.1618
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
0.8406
Per class
Predictive accuracy
0.8387
Prior entropy
0.7418
Recall
0.8387
Per class
Relative absolute error
0.4906
Root mean prior squared error
0.4048
Root mean squared error
0.3946
Root relative squared error
0.9749
SciMark benchmark
913.3372