DEVELOPMENT... OpenML
Run
136799

Run 136799

Task 3675 (Supervised Classification) pbc 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
0.663
Per class
Build CPU time
0.7054
Build memory
639158586.9091
F measure
0.6623
Per class
Kappa
0.316
KB relative information score
131.7273
Mean absolute error
0.338
Mean prior absolute error
0.495
Number of instances
418
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6633
Per class
Predictive accuracy
0.6651
Prior entropy
0.9928
Recall
0.6651
Per class
Relative absolute error
0.6829
Root mean prior squared error
0.4975
Root mean squared error
0.5763
Root relative squared error
1.1586
SciMark benchmark
916.3022