DEVELOPMENT... OpenML
Run
135568

Run 135568

Task 3641 (Supervised Classification) fri_c2_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)_I40
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
0.7785
Per class
Build CPU time
0.0022
Build memory
1786154071.2
F measure
0.7805
Per class
Kappa
0.5538
KB relative information score
54.7244
Mean absolute error
0.22
Mean prior absolute error
0.4904
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
0.7817
Per class
Predictive accuracy
0.78
Prior entropy
0.9864
Recall
0.78
Per class
Relative absolute error
0.4486
Root mean prior squared error
0.4951
Root mean squared error
0.469
Root relative squared error
0.9474
SciMark benchmark
934.6076