DEVELOPMENT... OpenML
Run
40004

Run 40004

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)_I40
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
0.9965
Per class
Build CPU time
34.1714
Build memory
854275931.8852
F measure
0.9965
Per class
Kappa
0.9813
KB relative information score
107153.1542
Mean absolute error
0.0035
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
0.9965
Per class
Predictive accuracy
0.9965
Prior entropy
0.482
Recall
0.9965
Per class
Relative absolute error
0.0185
Root mean prior squared error
0.3054
Root mean squared error
0.057
Root relative squared error
0.1868
SciMark benchmark
938.0657