DEVELOPMENT... OpenML
Run
35634

Run 35634

Task 3909 (Supervised Classification) ar1 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
0.6493
Per class
Build CPU time
0.1451
Build memory
442109339.0413
F measure
0.8978
Per class
Kappa
0.1345
KB relative information score
22.0603
Mean absolute error
0.082
Mean prior absolute error
0.1436
Number of instances
121
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8877
Per class
Predictive accuracy
0.9174
Prior entropy
0.4067
Recall
0.9174
Per class
Relative absolute error
0.5711
Root mean prior squared error
0.2625
Root mean squared error
0.2853
Root relative squared error
1.0871
SciMark benchmark
942.0655