DEVELOPMENT... OpenML
Run
138406

Run 138406

Task 3058 (Supervised Classification) grub-damage Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_REPTree(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_REPTree(2)_I40
weka.AdaBoostM1_REPTree(2)_P100
weka.AdaBoostM1_REPTree(2)_S1
weka.AdaBoostM1_REPTree(2)_Wweka.classifiers.trees.REPTree
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_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
0.6248
Per class
Build CPU time
0.002
Build memory
791785232
F measure
0.3529
Per class
Kappa
0.0971
KB relative information score
10.0258
Mean absolute error
0.3353
Mean prior absolute error
0.3627
Number of instances
51
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3605
Per class
Predictive accuracy
0.3529
Prior entropy
1.9281
Recall
0.3529
Per class
Relative absolute error
0.9244
Root mean prior squared error
0.425
Root mean squared error
0.4571
Root relative squared error
1.0755
SciMark benchmark
926.4124