DEVELOPMENT... OpenML
Run
120916

Run 120916

Task 3641 (Supervised Classification) fri_c2_100_25 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)_I40
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
0.8054
Per class
Build CPU time
2.89
Build memory
54861116.8
F measure
0.8097
Per class
Kappa
0.6113
KB relative information score
60.3197
Mean absolute error
0.1928
Mean prior absolute error
0.4904
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8096
Per class
Predictive accuracy
0.81
Prior entropy
0.9864
Recall
0.81
Per class
Relative absolute error
0.3931
Root mean prior squared error
0.4951
Root mean squared error
0.4311
Root relative squared error
0.8707
SciMark benchmark
935.6292