DEVELOPMENT... OpenML
Run
41495

Run 41495

Task 4587 (Supervised Classification) pendigits Uploaded 29-10-2014 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)_I80
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
0.9966
Per class
Build CPU time
77.7768
Build memory
1519006087.7766
F measure
0.9979
Per class
Kappa
0.9885
KB relative information score
108160.6959
Mean absolute error
0.0022
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
0.9979
Per class
Predictive accuracy
0.9979
Prior entropy
0.482
Recall
0.9979
Per class
Relative absolute error
0.0117
Root mean prior squared error
0.3054
Root mean squared error
0.0456
Root relative squared error
0.1493
SciMark benchmark
890.4487