DEVELOPMENT... OpenML
Run
121692

Run 121692

Task 3901 (Supervised Classification) jEdit_4.2_4.3 Uploaded 12-12-2014 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
0.6933
Per class
Build CPU time
18.9063
Build memory
792296376.0434
F measure
0.6633
Per class
Kappa
0.318
KB relative information score
116.8403
Mean absolute error
0.3361
Mean prior absolute error
0.4944
Number of instances
369
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.663
Per class
Predictive accuracy
0.664
Prior entropy
0.992
Recall
0.664
Per class
Relative absolute error
0.6798
Root mean prior squared error
0.4972
Root mean squared error
0.5771
Root relative squared error
1.1608
SciMark benchmark
925.7673