DEVELOPMENT... OpenML
Run
121806

Run 121806

Task 284 (Supervised Classification) hepatitis Uploaded 12-12-2014 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)_I160
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
0.7368
Per class
Build CPU time
10.986
Build memory
106198440
F measure
0.7869
Per class
Kappa
0.4462
KB relative information score
18.5359
Mean absolute error
0.2149
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
0.7901
Per class
Predictive accuracy
0.7843
Prior entropy
0.7418
Recall
0.7843
Per class
Relative absolute error
0.6004
Root mean prior squared error
0.4381
Root mean squared error
0.4628
Root relative squared error
1.0563
SciMark benchmark
899.4388