Run
62352

Run 62352

Task 3724 (Supervised Classification) vinnie Uploaded 16-11-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_SPegasos(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.SPegasos(2)_E500
weka.SPegasos(2)_F0
weka.SPegasos(2)_L1.0E-4
weka.MultiBoostAB_SPegasos(2)_C3
weka.MultiBoostAB_SPegasos(2)_P100
weka.MultiBoostAB_SPegasos(2)_S1
weka.MultiBoostAB_SPegasos(2)_I20
weka.MultiBoostAB_SPegasos(2)_Wweka.classifiers.functions.SPegasos

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
0.8948
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.1892
Cross-validation details (10-fold Crossvalidation)
Build memory
2377567665.6
Cross-validation details (10-fold Crossvalidation)
F measure
0.8392
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6782
Cross-validation details (10-fold Crossvalidation)
KB relative information score
233.3375
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2025
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4997
Cross-validation details (10-fold Crossvalidation)
Number of instances
380
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
0.8404
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8395
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9995
Cross-validation details (10-fold Crossvalidation)
Recall
0.8395
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4053
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4998
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3625
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7253
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
938.259