Run
96560

Run 96560

Task 3586 (Supervised Classification) abalone Uploaded 08-12-2014 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)_I10
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
0.8695
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.3465
Cross-validation details (10-fold Crossvalidation)
Build memory
609470021.0275
Cross-validation details (10-fold Crossvalidation)
F measure
0.7834
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5672
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1949.6718
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2781
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
4177
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
0.7844
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7836
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.7836
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5562
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.384
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7679
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
940.7816