DEVELOPMENT... OpenML
Run
37604

Run 37604

Task 4470 (Supervised Classification) sleuth_case2002 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
0.6651
Per class
Build CPU time
0.0496
Build memory
328074966.2803
F measure
0.6268
Per class
Kappa
0.2521
KB relative information score
353.5087
Mean absolute error
0.3785
Mean prior absolute error
0.4982
Number of instances
1470
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6276
Per class
Predictive accuracy
0.6265
Prior entropy
0.9974
Recall
0.6265
Per class
Relative absolute error
0.7598
Root mean prior squared error
0.4991
Root mean squared error
0.5899
Root relative squared error
1.1819
SciMark benchmark
928.3063