DEVELOPMENT... OpenML
Run
137002

Run 137002

Task 3913 (Supervised Classification) kc2 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
0.7396
Per class
Build CPU time
1.4858
Build memory
720768645.5785
F measure
0.8294
Per class
Kappa
0.4609
KB relative information score
193.0869
Mean absolute error
0.18
Mean prior absolute error
0.3266
Number of instances
522
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8262
Per class
Predictive accuracy
0.8352
Prior entropy
0.734
Recall
0.8352
Per class
Relative absolute error
0.551
Root mean prior squared error
0.4037
Root mean squared error
0.3962
Root relative squared error
0.9814
SciMark benchmark
907.3828

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