DEVELOPMENT... OpenML
Run
135190

Run 135190

Task 3888 (Supervised Classification) grub-damage 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)_I20
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
0.6568
Per class
Build CPU time
0.0017
Build memory
2446549107.3032
F measure
0.6735
Per class
Kappa
0.2514
KB relative information score
33.5449
Mean absolute error
0.3179
Mean prior absolute error
0.4332
Number of instances
155
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6765
Per class
Predictive accuracy
0.671
Prior entropy
0.9027
Recall
0.671
Per class
Relative absolute error
0.7338
Root mean prior squared error
0.465
Root mean squared error
0.5313
Root relative squared error
1.1426
SciMark benchmark
939.084