DEVELOPMENT... OpenML
Run
39284

Run 39284

Task 3701 (Supervised Classification) sleuth_case1102 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
0.4158
Per class
Build CPU time
0.023
Build memory
489172717.6471
F measure
0.4387
Per class
Kappa
-0.1413
KB relative information score
-3.6465
Mean absolute error
0.5419
Mean prior absolute error
0.4935
Number of instances
34
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.437
Per class
Predictive accuracy
0.4412
Prior entropy
0.9911
Recall
0.4412
Per class
Relative absolute error
1.0982
Root mean prior squared error
0.4965
Root mean squared error
0.6581
Root relative squared error
1.3253
SciMark benchmark
945.8914

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