DEVELOPMENT... OpenML
Run
39337

Run 39337

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)_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
0.6578
Per class
Build CPU time
0.1865
Build memory
490505639.5373
F measure
0.6912
Per class
Kappa
0.171
KB relative information score
522.9011
Mean absolute error
0.2935
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
0.682
Per class
Predictive accuracy
0.7121
Prior entropy
0.836
Recall
0.7121
Per class
Relative absolute error
0.7525
Root mean prior squared error
0.4412
Root mean squared error
0.5179
Root relative squared error
1.1739
SciMark benchmark
928.3063