DEVELOPMENT... OpenML
Run
134445

Run 134445

Task 3732 (Supervised Classification) fri_c4_100_25 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
0.6824
Per class
Build CPU time
0.0011
Build memory
136151404
F measure
0.6867
Per class
Kappa
0.3689
KB relative information score
37.4283
Mean absolute error
0.31
Mean prior absolute error
0.4969
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6903
Per class
Predictive accuracy
0.69
Prior entropy
0.9956
Recall
0.69
Per class
Relative absolute error
0.6239
Root mean prior squared error
0.4984
Root mean squared error
0.5568
Root relative squared error
1.1171
SciMark benchmark
946.9091