DEVELOPMENT... OpenML
Run
16249

Run 16249

Task 22 (Supervised Classification) mfeat-zernike Uploaded 04-06-2014 by Felicia West
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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)_I10
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
0.963
Per class
F measure
0.77
Per class
Kappa
0.7428
KB relative information score
1542.9136
Mean absolute error
0.0476
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
0.7728
Per class
Predictive accuracy
0.7685
Prior entropy
3.3219
Recall
0.7685
Per class
Relative absolute error
0.2644
Root mean prior squared error
0.3
Root mean squared error
0.1962
Root relative squared error
0.6541
SciMark benchmark
946.3507[566.67985740389281014.1867954103211481.71462303608115910.85475360997441758.3172656914378]