DEVELOPMENT... OpenML
Run
20114

Run 20114

Task 22 (Supervised Classification) mfeat-zernike Uploaded 18-06-2014 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_OneR(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_OneR(1)_C3
weka.MultiBoostAB_OneR(1)_I160
weka.MultiBoostAB_OneR(1)_P100
weka.MultiBoostAB_OneR(1)_S1
weka.MultiBoostAB_OneR(1)_Wweka.classifiers.rules.OneR
weka.OneR(1)_B6

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
0.58
Per class
F measure
0.2436
Per class
Kappa
0.16
KB relative information score
418.8147
Mean absolute error
0.1512
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
0.2465
Per class
Predictive accuracy
0.244
Prior entropy
3.3219
Recall
0.244
Per class
Relative absolute error
0.84
Root mean prior squared error
0.3
Root mean squared error
0.3888
Root relative squared error
1.2961
SciMark benchmark
915.1683[554.7839091511904873.1105541513656482.7975877024999910.22226140528711754.9271701211055]