DEVELOPMENT... OpenML
Run
36609

Run 36609

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)_I10
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
0.9928
Per class
Build CPU time
9.2792
Build memory
953160098.2191
F measure
0.9897
Per class
Kappa
0.9447
KB relative information score
101868.4843
Mean absolute error
0.0102
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
0.9897
Per class
Predictive accuracy
0.9896
Prior entropy
0.482
Recall
0.9896
Per class
Relative absolute error
0.0547
Root mean prior squared error
0.3054
Root mean squared error
0.0967
Root relative squared error
0.3168
SciMark benchmark
897.921