DEVELOPMENT... OpenML
Run
119915

Run 119915

Task 3799 (Supervised Classification) fri_c3_500_10 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
0.949
Per class
Build CPU time
2.4293
Build memory
1326321152.8
F measure
0.888
Per class
Kappa
0.7741
KB relative information score
386.8021
Mean absolute error
0.1121
Mean prior absolute error
0.4961
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8879
Per class
Predictive accuracy
0.888
Prior entropy
0.9945
Recall
0.888
Per class
Relative absolute error
0.226
Root mean prior squared error
0.4981
Root mean squared error
0.3156
Root relative squared error
0.6336
SciMark benchmark
874.7324