DEVELOPMENT... OpenML
Run
122056

Run 122056

Task 14 (Supervised Classification) mfeat-fourier Uploaded 13-12-2014 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)_I160
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
0.9205
Per class
Build CPU time
10757.2946
Build memory
1300605004
F measure
0.8384
Per class
Kappa
0.8183
KB relative information score
1660.5313
Mean absolute error
0.0327
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
0.8411
Per class
Predictive accuracy
0.8365
Prior entropy
3.3219
Recall
0.8365
Per class
Relative absolute error
0.1815
Root mean prior squared error
0.3
Root mean squared error
0.1798
Root relative squared error
0.5994
SciMark benchmark
908.8705