DEVELOPMENT... OpenML
Run
135294

Run 135294

Task 250 (Supervised Classification) mfeat-pixel Uploaded 28-12-2014 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)_I40
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
0.8472
Per class
Build CPU time
0.017
Build memory
3103813992
F measure
0.6738
Per class
Kappa
0.6379
KB relative information score
445.4651
Mean absolute error
0.0662
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
0.6801
Per class
Predictive accuracy
0.6742
Prior entropy
3.3219
Recall
0.6742
Per class
Relative absolute error
0.3679
Root mean prior squared error
0.3
Root mean squared error
0.2411
Root relative squared error
0.8035
SciMark benchmark
946.9091

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