DEVELOPMENT... OpenML
Run
136526

Run 136526

Task 1765 (Supervised Classification) anneal Uploaded 31-12-2014 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)_I160
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
0.9561
Per class
Build CPU time
0.0065
Build memory
796860056.8
F measure
0.9662
Per class
Kappa
0.9157
KB relative information score
3967.8318
Mean absolute error
0.0113
Mean prior absolute error
0.1343
Number of instances
4490
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9662
Per class
Predictive accuracy
0.9664
Prior entropy
1.2149
Recall
0.9664
Per class
Relative absolute error
0.0844
Root mean prior squared error
0.2582
Root mean squared error
0.1054
Root relative squared error
0.4082
SciMark benchmark
915.3856