DEVELOPMENT... OpenML
Run
37417

Run 37417

Task 1884 (Supervised Classification) labor 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)_I20
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
0.9059
Per class
Build CPU time
0.0031
Build memory
116985667.0737
F measure
0.8501
Per class
Kappa
0.6692
KB relative information score
307.6581
Mean absolute error
0.2182
Mean prior absolute error
0.457
Number of instances
570
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8497
Per class
Predictive accuracy
0.8509
Prior entropy
0.9393
Recall
0.8509
Per class
Relative absolute error
0.4774
Root mean prior squared error
0.4773
Root mean squared error
0.332
Root relative squared error
0.6956
SciMark benchmark
938.2803