Run
72583

Run 72583

Task 3716 (Supervised Classification) tecator 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_OneR(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_OneR(2)_I20
weka.Bagging_OneR(2)_P100
weka.Bagging_OneR(2)_S1
weka.Bagging_OneR(2)_Wweka.classifiers.rules.OneR
weka.Bagging_OneR(2)_num-slots1
weka.OneR(3)_B6

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
0.9463
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.1728
Cross-validation details (10-fold Crossvalidation)
Build memory
324058615.2
Cross-validation details (10-fold Crossvalidation)
F measure
0.8791
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7525
Cross-validation details (10-fold Crossvalidation)
KB relative information score
174.2202
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1346
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4888
Cross-validation details (10-fold Crossvalidation)
Number of instances
240
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
0.879
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8792
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.984
Cross-validation details (10-fold Crossvalidation)
Recall
0.8792
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2753
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2975
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6019
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
938.3567