DEVELOPMENT... OpenML
Run
40598

Run 40598

Task 4458 (Supervised Classification) cloud 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)_I80
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
0.8862
Per class
Build CPU time
0.062
Build memory
1050325807.7556
F measure
0.8986
Per class
Kappa
0.7579
KB relative information score
630.9077
Mean absolute error
0.182
Mean prior absolute error
0.4185
Number of instances
1080
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8992
Per class
Predictive accuracy
0.8981
Prior entropy
0.8813
Recall
0.8981
Per class
Relative absolute error
0.4349
Root mean prior squared error
0.4566
Root mean squared error
0.3196
Root relative squared error
0.7
SciMark benchmark
940.0668