DEVELOPMENT... OpenML
Run
120016

Run 120016

Task 3911 (Supervised Classification) ar4 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
0.7517
Per class
Build CPU time
0.6997
Build memory
680749726.3551
F measure
0.8018
Per class
Kappa
0.3416
KB relative information score
23.9189
Mean absolute error
0.1944
Mean prior absolute error
0.3076
Number of instances
107
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8
Per class
Predictive accuracy
0.8037
Prior entropy
0.707
Recall
0.8037
Per class
Relative absolute error
0.6322
Root mean prior squared error
0.3899
Root mean squared error
0.4231
Root relative squared error
1.0853
SciMark benchmark
923.3659