DEVELOPMENT... OpenML
Run
38414

Run 38414

Task 4587 (Supervised Classification) pendigits Uploaded 28-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I20
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.995
Per class
Build CPU time
16.1009
Build memory
835532741.7189
F measure
0.9942
Per class
Kappa
0.9689
KB relative information score
105283.4832
Mean absolute error
0.0058
Mean prior absolute error
0.1865
Number of instances
109920
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9942
Per class
Predictive accuracy
0.9942
Prior entropy
0.482
Recall
0.9942
Per class
Relative absolute error
0.0312
Root mean prior squared error
0.3054
Root mean squared error
0.073
Root relative squared error
0.2392
SciMark benchmark
944.2618