DEVELOPMENT... OpenML
Run
20261

Run 20261

Task 32 (Supervised Classification) pendigits 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)_I80
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
0.9763
Per class
F measure
0.9574
Per class
Kappa
0.9526
KB relative information score
10502.3769
Mean absolute error
0.0085
Mean prior absolute error
0.18
Number of instances
10992
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9574
Per class
Predictive accuracy
0.9573
Prior entropy
3.3208
Recall
0.9573
Per class
Relative absolute error
0.0474
Root mean prior squared error
0.3
Root mean squared error
0.0924
Root relative squared error
0.308
SciMark benchmark
928.2869[564.114047767191015.7906865781697478.28140966761225874.97995825765031708.2681538059594]