DEVELOPMENT... OpenML
Run
136410

Run 136410

Task 3923 (Supervised Classification) datatrieve 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)_I80
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
0.4992
Per class
Build CPU time
0.0021
Build memory
1318699977.6
F measure
0.8416
Per class
Kappa
-0.0015
KB relative information score
-48.0526
Mean absolute error
0.1615
Mean prior absolute error
0.1601
Number of instances
130
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8449
Per class
Predictive accuracy
0.8385
Prior entropy
0.4395
Recall
0.8385
Per class
Relative absolute error
1.0087
Root mean prior squared error
0.2784
Root mean squared error
0.4019
Root relative squared error
1.4438
SciMark benchmark
915.3856