DEVELOPMENT... OpenML
Run
36324

Run 36324

Task 4548 (Supervised Classification) optdigits 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
0.9818
Per class
Build CPU time
19.7262
Build memory
1027173932.64
F measure
0.987
Per class
Kappa
0.9278
KB relative information score
50966.8986
Mean absolute error
0.0128
Mean prior absolute error
0.183
Number of instances
56200
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9871
Per class
Predictive accuracy
0.9872
Prior entropy
0.4751
Recall
0.9872
Per class
Relative absolute error
0.0699
Root mean prior squared error
0.3024
Root mean squared error
0.1094
Root relative squared error
0.3617
SciMark benchmark
941.8931