DEVELOPMENT... OpenML
Run
136485

Run 136485

Task 244 (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
0.7947
Per class
Build CPU time
0.03
Build memory
215773072
F measure
0.6277
Per class
Kappa
0.5891
KB relative information score
404.8352
Mean absolute error
0.0739
Mean prior absolute error
0.18
Number of instances
660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6313
Per class
Predictive accuracy
0.6303
Prior entropy
3.3219
Recall
0.6303
Per class
Relative absolute error
0.4108
Root mean prior squared error
0.3
Root mean squared error
0.2719
Root relative squared error
0.9064
SciMark benchmark
916.3022