DEVELOPMENT... OpenML
Run
119998

Run 119998

Task 3887 (Supervised Classification) analcatdata_germangss 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
0.9453
Per class
Build CPU time
2.0225
Build memory
565313142.4
F measure
0.9046
Per class
Kappa
0.7254
KB relative information score
274.3873
Mean absolute error
0.0941
Mean prior absolute error
0.3495
Number of instances
400
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9043
Per class
Predictive accuracy
0.905
Prior entropy
0.7716
Recall
0.905
Per class
Relative absolute error
0.2692
Root mean prior squared error
0.4176
Root mean squared error
0.2939
Root relative squared error
0.7038
SciMark benchmark
937.6343