DEVELOPMENT... OpenML
Run
40705

Run 40705

Task 1922 (Supervised Classification) haberman Uploaded 29-10-2014 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
0.6422
Per class
Build CPU time
0.2437
Build memory
1016558625.8222
F measure
0.6812
Per class
Kappa
0.1482
KB relative information score
427.8682
Mean absolute error
0.3045
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
0.6713
Per class
Predictive accuracy
0.6993
Prior entropy
0.836
Recall
0.6993
Per class
Relative absolute error
0.7808
Root mean prior squared error
0.4412
Root mean squared error
0.5321
Root relative squared error
1.2061
SciMark benchmark
934.1739

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