Run
15787

Run 15787

Task 30 (Supervised Classification) page-blocks Uploaded 04-06-2014 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_SMO_PolyKernel(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_SMO_PolyKernel(1)_C3
weka.MultiBoostAB_SMO_PolyKernel(1)_I40
weka.MultiBoostAB_SMO_PolyKernel(1)_P100
weka.MultiBoostAB_SMO_PolyKernel(1)_S1
weka.MultiBoostAB_SMO_PolyKernel(1)_Wweka.classifiers.functions.SMO
weka.SMO_PolyKernel(5)_C1.0
weka.SMO_PolyKernel(5)_L0.001
weka.SMO_PolyKernel(5)_N0
weka.SMO_PolyKernel(5)_P1.0E-12
weka.SMO_PolyKernel(5)_V-1
weka.SMO_PolyKernel(5)_W1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9156
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9081
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4585
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2148.7216
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0486
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0762
Cross-validation details (10-fold Crossvalidation)
Number of instances
5473
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
0.9284
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9286
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6391
Cross-validation details (10-fold Crossvalidation)
Recall
0.9286
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6379
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1949
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1412
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7246
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
944.3524[560.30856197719071014.4538012229739482.36378704342826908.01521433887441756.6205822745662]