Run
25929

Run 25929

Task 59 (Supervised Classification) iris Uploaded 07-10-2014 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(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.SMO_PolyKernel(7)_C1.0
weka.SMO_PolyKernel(7)_L0.001
weka.SMO_PolyKernel(7)_N0
weka.SMO_PolyKernel(7)_P1.0E-12
weka.SMO_PolyKernel(7)_V-1
weka.SMO_PolyKernel(7)_W1
weka.MultiBoostAB_SMO_PolyKernel(2)_C3
weka.MultiBoostAB_SMO_PolyKernel(2)_P100
weka.MultiBoostAB_SMO_PolyKernel(2)_S1
weka.MultiBoostAB_SMO_PolyKernel(2)_I80
weka.MultiBoostAB_SMO_PolyKernel(2)_Wweka.classifiers.functions.SMO

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
0.9949
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.2973
Cross-validation details (10-fold Crossvalidation)
Build memory
314615048
Cross-validation details (10-fold Crossvalidation)
F measure
0.9667
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.95
Cross-validation details (10-fold Crossvalidation)
KB relative information score
142.7579
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0238
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_67, x86_64, Mac OS X, 10.9.5]
Precision
0.9668
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9667
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9667
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0535
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1429
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3032
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1552.123[1005.03639414864881228.1421293642538659.95191291999961356.50193714447323510.9824662080687]