DEVELOPMENT... OpenML
Run
37672

Run 37672

Task 1922 (Supervised Classification) haberman 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
0.6626
Per class
Build CPU time
0.0675
Build memory
82038172.481
F measure
0.6963
Per class
Kappa
0.1836
KB relative information score
589.4056
Mean absolute error
0.2865
Mean prior absolute error
0.39
Number of instances
3060
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6878
Per class
Predictive accuracy
0.718
Prior entropy
0.836
Recall
0.718
Per class
Relative absolute error
0.7347
Root mean prior squared error
0.4412
Root mean squared error
0.5096
Root relative squared error
1.1551
SciMark benchmark
944.5683