DEVELOPMENT... OpenML
Run
120454

Run 120454

Task 3742 (Supervised Classification) fri_c4_100_10 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
0.8591
Per class
Build CPU time
0.8068
Build memory
808389336
F measure
0.7501
Per class
Kappa
0.4988
KB relative information score
51.4677
Mean absolute error
0.2402
Mean prior absolute error
0.4982
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7504
Per class
Predictive accuracy
0.75
Prior entropy
0.9975
Recall
0.75
Per class
Relative absolute error
0.482
Root mean prior squared error
0.4991
Root mean squared error
0.4692
Root relative squared error
0.94
SciMark benchmark
942.3919