DEVELOPMENT... OpenML
Run
120497

Run 120497

Task 3789 (Supervised Classification) fri_c0_500_25 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
0.8864
Per class
Build CPU time
10.9746
Build memory
854197745.6
F measure
0.814
Per class
Kappa
0.6278
KB relative information score
319.1463
Mean absolute error
0.1804
Mean prior absolute error
0.4998
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
0.814
Per class
Predictive accuracy
0.814
Prior entropy
0.9997
Recall
0.814
Per class
Relative absolute error
0.3609
Root mean prior squared error
0.4999
Root mean squared error
0.4087
Root relative squared error
0.8175
SciMark benchmark
942.3919