DEVELOPMENT... OpenML
Run
20646

Run 20646

Task 22 (Supervised Classification) mfeat-zernike Uploaded 18-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_RandomTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomTree(1)_C3
weka.MultiBoostAB_RandomTree(1)_I10
weka.MultiBoostAB_RandomTree(1)_P100
weka.MultiBoostAB_RandomTree(1)_S1
weka.MultiBoostAB_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.7994
Per class
F measure
0.6419
Per class
Kappa
0.5989
KB relative information score
1244.9631
Mean absolute error
0.0722
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
0.645
Per class
Predictive accuracy
0.639
Prior entropy
3.3219
Recall
0.639
Per class
Relative absolute error
0.4011
Root mean prior squared error
0.3
Root mean squared error
0.2687
Root relative squared error
0.8957
SciMark benchmark
946.7854[565.57735973810441014.1868590421574480.6364546036713908.95975824819551764.5664888040972]