OpenML
82353

Run 82353

Task 3759 (Supervised Classification) fri_c3_500_25 Uploaded 02-12-2014 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_REPTree(3)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(3)_I80
weka.Bagging_REPTree(3)_P100
weka.Bagging_REPTree(3)_S1
weka.Bagging_REPTree(3)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(3)_num-slots1
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_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
0.952
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.5699
Cross-validation details (10-fold Crossvalidation)
Build memory
622105644.8
Cross-validation details (10-fold Crossvalidation)
F measure
0.876
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7484
Cross-validation details (10-fold Crossvalidation)
KB relative information score
294.6196
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2207
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4928
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
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
0.876
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.876
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9897
Cross-validation details (10-fold Crossvalidation)
Recall
0.876
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4478
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4964
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3011
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6066
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
938.2576