Run
87247

Run 87247

Task 3886 (Supervised Classification) soybean Uploaded 03-12-2014 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_SPegasos(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_SPegasos(2)_I10
weka.Bagging_SPegasos(2)_P100
weka.Bagging_SPegasos(2)_S1
weka.Bagging_SPegasos(2)_Wweka.classifiers.functions.SPegasos
weka.Bagging_SPegasos(2)_num-slots1
weka.SPegasos(2)_E500
weka.SPegasos(2)_F0
weka.SPegasos(2)_L1.0E-4

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
0.9789
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
2.0485
Cross-validation details (10-fold Crossvalidation)
Build memory
249611647.2504
Cross-validation details (10-fold Crossvalidation)
F measure
0.9721
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8801
Cross-validation details (10-fold Crossvalidation)
KB relative information score
560.84
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0329
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2339
Cross-validation details (10-fold Crossvalidation)
Number of instances
683
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
0.9721
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9722
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.573
Cross-validation details (10-fold Crossvalidation)
Recall
0.9722
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1408
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3414
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1457
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4266
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
939.7809