DEVELOPMENT... OpenML
Run
135234

Run 135234

Task 9 (Supervised Classification) autos 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
0.9123
Per class
Build CPU time
0.054
Build memory
2847759159.6098
F measure
0.8146
Per class
Kappa
0.7584
KB relative information score
156.2744
Mean absolute error
0.0535
Mean prior absolute error
0.2209
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8175
Per class
Predictive accuracy
0.8146
Prior entropy
2.3268
Recall
0.8146
Per class
Relative absolute error
0.2424
Root mean prior squared error
0.3318
Root mean squared error
0.2233
Root relative squared error
0.673
SciMark benchmark
946.9091

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