DEVELOPMENT... OpenML
Run
119665

Run 119665

Task 3054 (Supervised Classification) monks-problems-2 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
0.7867
Per class
Build CPU time
5.245
Build memory
449338384
F measure
0.759
Per class
Kappa
0.4767
KB relative information score
90.0766
Mean absolute error
0.2482
Mean prior absolute error
0.4588
Number of instances
198
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7586
Per class
Predictive accuracy
0.7626
Prior entropy
0.9279
Recall
0.7626
Per class
Relative absolute error
0.541
Root mean prior squared error
0.4831
Root mean squared error
0.4786
Root relative squared error
0.9907
SciMark benchmark
923.3659