DEVELOPMENT... OpenML
Run
119795

Run 119795

Task 3647 (Supervised Classification) rabe_266 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
0.9989
Per class
Build CPU time
0.3745
Build memory
237010288.8
F measure
0.9833
Per class
Kappa
0.9666
KB relative information score
114.7852
Mean absolute error
0.0221
Mean prior absolute error
0.4988
Number of instances
120
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9839
Per class
Predictive accuracy
0.9833
Prior entropy
0.9983
Recall
0.9833
Per class
Relative absolute error
0.0444
Root mean prior squared error
0.4994
Root mean squared error
0.1358
Root relative squared error
0.2719
SciMark benchmark
913.3372