DEVELOPMENT... OpenML
Run
17757

Run 17757

Task 32 (Supervised Classification) pendigits Uploaded 09-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_REPTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_REPTree(1)_C3
weka.MultiBoostAB_REPTree(1)_I40
weka.MultiBoostAB_REPTree(1)_P100
weka.MultiBoostAB_REPTree(1)_S1
weka.MultiBoostAB_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
0.9979
Per class
F measure
0.9916
Per class
Kappa
0.9907
KB relative information score
10898.4867
Mean absolute error
0.0017
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
0.9916
Per class
Predictive accuracy
0.9916
Prior entropy
3.3208
Recall
0.9916
Per class
Relative absolute error
0.0094
Root mean prior squared error
0.3
Root mean squared error
0.0398
Root relative squared error
0.1327
SciMark benchmark
944.1916[560.12868580782781014.4538012229739483.2321174670136909.90626928802961753.2370197795062]