DEVELOPMENT... OpenML
Run
15362

Run 15362

Task 22 (Supervised Classification) mfeat-zernike Uploaded 04-06-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_IBk(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.IBk(1)_Atrue
weka.IBk(1)_K1
weka.IBk(1)_W0
weka.MultiBoostAB_IBk(1)_C3
weka.MultiBoostAB_IBk(1)_I80
weka.MultiBoostAB_IBk(1)_P100
weka.MultiBoostAB_IBk(1)_S1
weka.MultiBoostAB_IBk(1)_Wweka.classifiers.lazy.IBk

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
0.8827
Per class
F measure
0.7912
Per class
Kappa
0.7661
KB relative information score
1556.424
Mean absolute error
0.0429
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7938
Per class
Predictive accuracy
0.7895
Prior entropy
3.3219
Recall
0.7895
Per class
Relative absolute error
0.2381
Root mean prior squared error
0.3
Root mean squared error
0.2046
Root relative squared error
0.6821
SciMark benchmark
939.9994[556.37660137353131014.1868590421574481.71462303608115901.76812573803551745.9506755015693]