DEVELOPMENT... OpenML
Run
36104

Run 36104

Task 4511 (Supervised Classification) fri_c0_500_10 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
0.9391
Per class
Build CPU time
0.2871
Build memory
1193120511.2
F measure
0.8729
Per class
Kappa
0.7454
KB relative information score
3720.5556
Mean absolute error
0.1279
Mean prior absolute error
0.4994
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
0.8732
Per class
Predictive accuracy
0.873
Prior entropy
0.9991
Recall
0.873
Per class
Relative absolute error
0.2562
Root mean prior squared error
0.4997
Root mean squared error
0.3378
Root relative squared error
0.676
SciMark benchmark
942.3742