DEVELOPMENT... OpenML
Run
121932

Run 121932

Task 3498 (Supervised Classification) pasture Uploaded 13-12-2014 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
0.8461
Per class
Build CPU time
2.6514
Build memory
1568901663.5556
F measure
0.7455
Per class
Kappa
0.625
KB relative information score
23.6971
Mean absolute error
0.1663
Mean prior absolute error
0.4444
Number of instances
36
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7462
Per class
Predictive accuracy
0.75
Prior entropy
1.585
Recall
0.75
Per class
Relative absolute error
0.3742
Root mean prior squared error
0.4714
Root mean squared error
0.4073
Root relative squared error
0.8641
SciMark benchmark
899.4388

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