DEVELOPMENT... OpenML
Run
134260

Run 134260

Task 3500 (Supervised Classification) squash-unstored 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)_I10
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
0.6169
Per class
Build CPU time
0.0006
Build memory
1682118559.0769
F measure
0.6088
Per class
Kappa
0.2954
KB relative information score
15.2878
Mean absolute error
0.2856
Mean prior absolute error
0.3823
Number of instances
52
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6389
Per class
Predictive accuracy
0.6154
Prior entropy
1.3486
Recall
0.6154
Per class
Relative absolute error
0.7471
Root mean prior squared error
0.4353
Root mean squared error
0.5078
Root relative squared error
1.1667
SciMark benchmark
946.9091