DEVELOPMENT... OpenML
Run
121617

Run 121617

Task 14 (Supervised Classification) mfeat-fourier 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)_I80
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
0.9253
Per class
Build CPU time
4604.2454
Build memory
584036943.2
F measure
0.8353
Per class
Kappa
0.815
KB relative information score
1654.9562
Mean absolute error
0.0333
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.838
Per class
Predictive accuracy
0.8335
Prior entropy
3.3219
Recall
0.8335
Per class
Relative absolute error
0.1848
Root mean prior squared error
0.3
Root mean squared error
0.1804
Root relative squared error
0.6014
SciMark benchmark
945.5885