DEVELOPMENT... OpenML
Run
120255

Run 120255

Task 14 (Supervised Classification) mfeat-fourier 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
0.9579
Per class
Build CPU time
1158.7704
Build memory
983664894.4
F measure
0.8344
Per class
Kappa
0.8133
KB relative information score
1658.7006
Mean absolute error
0.0336
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
0.8377
Per class
Predictive accuracy
0.832
Prior entropy
3.3219
Recall
0.832
Per class
Relative absolute error
0.1868
Root mean prior squared error
0.3
Root mean squared error
0.1774
Root relative squared error
0.5915
SciMark benchmark
939.6298