DEVELOPMENT... OpenML
Run
131046

Run 131046

Task 22 (Supervised Classification) mfeat-zernike Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(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_RandomForest(2)_I160
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.9672
Per class
Build CPU time
1.9863
Build memory
908890475.2
F measure
0.7792
Per class
Kappa
0.7561
KB relative information score
1425.3853
Mean absolute error
0.0776
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
0.7787
Per class
Predictive accuracy
0.7805
Prior entropy
3.3219
Recall
0.7805
Per class
Relative absolute error
0.431
Root mean prior squared error
0.3
Root mean squared error
0.1867
Root relative squared error
0.6223
SciMark benchmark
937.5757

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