DEVELOPMENT... OpenML
Run
120077

Run 120077

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)_I20
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
0.8095
Per class
Build CPU time
2.2831
Build memory
641805425.9613
F measure
0.8507
Per class
Kappa
0.5418
KB relative information score
73.1192
Mean absolute error
0.1486
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
0.8499
Per class
Predictive accuracy
0.8516
Prior entropy
0.7418
Recall
0.8516
Per class
Relative absolute error
0.4505
Root mean prior squared error
0.4048
Root mean squared error
0.3844
Root relative squared error
0.9497
SciMark benchmark
935.6292