DEVELOPMENT... OpenML
Run
44348

Run 44348

Task 4431 (Supervised Classification) sleuth_ex2016 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)_I160
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
0.6488
Per class
Build CPU time
0.5424
Build memory
575362921.1402
F measure
0.6459
Per class
Kappa
0.2908
KB relative information score
250.5352
Mean absolute error
0.3556
Mean prior absolute error
0.4994
Number of instances
870
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6458
Per class
Predictive accuracy
0.646
Prior entropy
0.9992
Recall
0.646
Per class
Relative absolute error
0.7119
Root mean prior squared error
0.4997
Root mean squared error
0.5946
Root relative squared error
1.1899
SciMark benchmark
936.9135