DEVELOPMENT... OpenML
Run
120611

Run 120611

Task 3884 (Supervised Classification) page-blocks 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
0.9838
Per class
Build CPU time
80.657
Build memory
101075152.4604
F measure
0.9752
Per class
Kappa
0.8645
KB relative information score
4456.7748
Mean absolute error
0.0259
Mean prior absolute error
0.1838
Number of instances
5473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9751
Per class
Predictive accuracy
0.9753
Prior entropy
0.4768
Recall
0.9753
Per class
Relative absolute error
0.1409
Root mean prior squared error
0.3031
Root mean squared error
0.1515
Root relative squared error
0.4998
SciMark benchmark
941.4456