DEVELOPMENT... OpenML
Run
136435

Run 136435

Task 14 (Supervised Classification) mfeat-fourier Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I160
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.8214
Per class
Build CPU time
0.0501
Build memory
819699383.2
F measure
0.6778
Per class
Kappa
0.6428
KB relative information score
1327.5779
Mean absolute error
0.0643
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
0.678
Per class
Predictive accuracy
0.6785
Prior entropy
3.3219
Recall
0.6785
Per class
Relative absolute error
0.3572
Root mean prior squared error
0.3
Root mean squared error
0.2536
Root relative squared error
0.8452
SciMark benchmark
915.3856