DEVELOPMENT... OpenML
Run
132925

Run 132925

Task 283 (Supervised Classification) vehicle Uploaded 27-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(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_RandomForest(2)_I20
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.9327
Per class
Build CPU time
0.277
Build memory
1147044096
F measure
0.7393
Per class
Kappa
0.6617
KB relative information score
179.8499
Mean absolute error
0.1686
Mean prior absolute error
0.3748
Number of instances
279
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7452
Per class
Predictive accuracy
0.7455
Prior entropy
1.9991
Recall
0.7455
Per class
Relative absolute error
0.4499
Root mean prior squared error
0.4328
Root mean squared error
0.2756
Root relative squared error
0.6367
SciMark benchmark
945.5885