DEVELOPMENT... OpenML
Run
135212

Run 135212

Task 3916 (Supervised Classification) kc1-binary 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
0.627
Per class
Build CPU time
0.0025
Build memory
1998358040
F measure
0.6357
Per class
Kappa
0.2521
KB relative information score
34.3518
Mean absolute error
0.3655
Mean prior absolute error
0.4853
Number of instances
145
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6374
Per class
Predictive accuracy
0.6345
Prior entropy
0.979
Recall
0.6345
Per class
Relative absolute error
0.7531
Root mean prior squared error
0.4925
Root mean squared error
0.6046
Root relative squared error
1.2275
SciMark benchmark
946.9091