DEVELOPMENT... OpenML
Run
37570

Run 37570

Task 4464 (Supervised Classification) fri_c3_500_25 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
0.9404
Per class
Build CPU time
1.307
Build memory
104837222.72
F measure
0.8817
Per class
Kappa
0.7597
KB relative information score
3804.6884
Mean absolute error
0.117
Mean prior absolute error
0.4928
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8817
Per class
Predictive accuracy
0.8818
Prior entropy
0.9897
Recall
0.8818
Per class
Relative absolute error
0.2374
Root mean prior squared error
0.4964
Root mean squared error
0.3295
Root relative squared error
0.6639
SciMark benchmark
939.9671