DEVELOPMENT... OpenML
Run
39143

Run 39143

Task 4441 (Supervised Classification) boston 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)_I40
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
0.9164
Per class
Build CPU time
0.9448
Build memory
671109786.7715
F measure
0.8816
Per class
Kappa
0.7553
KB relative information score
3807.8689
Mean absolute error
0.1184
Mean prior absolute error
0.4849
Number of instances
5060
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
0.882
Prior entropy
0.9782
Recall
0.882
Per class
Relative absolute error
0.2441
Root mean prior squared error
0.4924
Root mean squared error
0.3367
Root relative squared error
0.6838
SciMark benchmark
934.1739