DEVELOPMENT... OpenML
Run
134941

Run 134941

Task 3613 (Supervised Classification) servo 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)_I20
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
0.9282
Per class
Build CPU time
0.001
Build memory
1894796603.3054
F measure
0.9145
Per class
Kappa
0.7523
KB relative information score
125.0352
Mean absolute error
0.0778
Mean prior absolute error
0.3533
Number of instances
167
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9143
Per class
Predictive accuracy
0.9162
Prior entropy
0.7794
Recall
0.9162
Per class
Relative absolute error
0.2203
Root mean prior squared error
0.4193
Root mean squared error
0.2507
Root relative squared error
0.5981
SciMark benchmark
946.9091