DEVELOPMENT... OpenML
Run
121500

Run 121500

Task 3679 (Supervised Classification) chscase_vine2 Uploaded 11-12-2014 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
0.8987
Per class
Build CPU time
18.709
Build memory
112723669.7265
F measure
0.8611
Per class
Kappa
0.7199
KB relative information score
337.0664
Mean absolute error
0.1378
Mean prior absolute error
0.4956
Number of instances
468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8612
Per class
Predictive accuracy
0.8611
Prior entropy
0.9937
Recall
0.8611
Per class
Relative absolute error
0.2781
Root mean prior squared error
0.4978
Root mean squared error
0.3624
Root relative squared error
0.728
SciMark benchmark
899.4388