DEVELOPMENT... OpenML
Run
119887

Run 119887

Task 3765 (Supervised Classification) sleuth_case2002 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
0.6388
Per class
Build CPU time
0.9889
Build memory
160328205.8776
F measure
0.5837
Per class
Kappa
0.1634
KB relative information score
22.9095
Mean absolute error
0.4206
Mean prior absolute error
0.4982
Number of instances
147
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5837
Per class
Predictive accuracy
0.585
Prior entropy
0.9974
Recall
0.585
Per class
Relative absolute error
0.8443
Root mean prior squared error
0.4991
Root mean squared error
0.5823
Root relative squared error
1.1667
SciMark benchmark
942.5053