DEVELOPMENT... OpenML
Run
121336

Run 121336

Task 3054 (Supervised Classification) monks-problems-2 Uploaded 11-12-2014 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)_I80
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
0.7736
Per class
Build CPU time
21.634
Build memory
2594843456
F measure
0.7428
Per class
Kappa
0.4483
KB relative information score
87.6255
Mean absolute error
0.251
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
0.7432
Per class
Predictive accuracy
0.7424
Prior entropy
0.9279
Recall
0.7424
Per class
Relative absolute error
0.5469
Root mean prior squared error
0.4831
Root mean squared error
0.4902
Root relative squared error
1.0148
SciMark benchmark
942.3919