OpenML
23727

Run 23727

Task 22 (Supervised Classification) mfeat-zernike Uploaded 27-06-2014 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_JRip(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.JRip(1)_F3
weka.JRip(1)_N2.0
weka.JRip(1)_O2
weka.JRip(1)_S1
weka.MultiBoostAB_JRip(1)_C3
weka.MultiBoostAB_JRip(1)_I40
weka.MultiBoostAB_JRip(1)_P100
weka.MultiBoostAB_JRip(1)_S1
weka.MultiBoostAB_JRip(1)_Wweka.classifiers.rules.JRip

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
0.9675
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7856
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7572
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1575.3507
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0431
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
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
0.7908
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7815
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.7815
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2393
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1952
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6506
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
929.5175[559.9488393771786926.6434455956115483.6674820550281909.90626928802961767.4217034453668]