DEVELOPMENT... OpenML
Run
44863

Run 44863

Task 4565 (Supervised Classification) balance-scale Uploaded 30-10-2014 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)_I160
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
0.9878
Per class
Build CPU time
1.6397
Build memory
1377714021.3325
F measure
0.959
Per class
Kappa
0.9175
KB relative information score
5728.6789
Mean absolute error
0.0414
Mean prior absolute error
0.4969
Number of instances
6250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9591
Per class
Predictive accuracy
0.959
Prior entropy
0.9956
Recall
0.959
Per class
Relative absolute error
0.0833
Root mean prior squared error
0.4985
Root mean squared error
0.1926
Root relative squared error
0.3864
SciMark benchmark
942.6202