OpenML
79596

Run 79596

Task 283 (Supervised Classification) vehicle Uploaded 01-12-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_RandomTree(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomTree(2)_I40
weka.Bagging_RandomTree(2)_P100
weka.Bagging_RandomTree(2)_S1
weka.Bagging_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.Bagging_RandomTree(2)_num-slots1
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
0.9359
Per class
Cross-validation details (33% Holdout set)
Build CPU time
0.182
Cross-validation details (33% Holdout set)
Build memory
117514952
Cross-validation details (33% Holdout set)
F measure
0.7604
Per class
Cross-validation details (33% Holdout set)
Kappa
0.6901
Cross-validation details (33% Holdout set)
KB relative information score
181.9721
Cross-validation details (33% Holdout set)
Mean absolute error
0.1641
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.3748
Cross-validation details (33% Holdout set)
Number of instances
279
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7644
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.767
Cross-validation details (33% Holdout set)
Prior entropy
1.9991
Cross-validation details (33% Holdout set)
Recall
0.767
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.4379
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4328
Cross-validation details (33% Holdout set)
Root mean squared error
0.2738
Cross-validation details (33% Holdout set)
Root relative squared error
0.6327
Cross-validation details (33% Holdout set)
SciMark benchmark
941.5201