OpenML
80488

Run 80488

Task 3916 (Supervised Classification) kc1-binary Uploaded 02-12-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_RandomTree(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomTree(2)_I10
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
0.7931
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0106
Cross-validation details (10-fold Crossvalidation)
Build memory
278099419.3103
Cross-validation details (10-fold Crossvalidation)
F measure
0.7057
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4076
Cross-validation details (10-fold Crossvalidation)
KB relative information score
50.7623
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3159
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4853
Cross-validation details (10-fold Crossvalidation)
Number of instances
145
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7192
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7034
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.979
Cross-validation details (10-fold Crossvalidation)
Recall
0.7034
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6508
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4925
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4307
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8745
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
943.4766