DEVELOPMENT... OpenML
Run
120910

Run 120910

Task 3635 (Supervised Classification) fri_c1_250_50 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
0.8565
Per class
Build CPU time
18.9402
Build memory
1000262237.6
F measure
0.8113
Per class
Kappa
0.6184
KB relative information score
153.9344
Mean absolute error
0.1898
Mean prior absolute error
0.4954
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.812
Per class
Predictive accuracy
0.812
Prior entropy
0.9934
Recall
0.812
Per class
Relative absolute error
0.3832
Root mean prior squared error
0.4977
Root mean squared error
0.426
Root relative squared error
0.8559
SciMark benchmark
902.712

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