DEVELOPMENT... OpenML
Run
40602

Run 40602

Task 4459 (Supervised Classification) sleuth_case1202 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)_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
0.7919
Per class
Build CPU time
0.1694
Build memory
829702611.3892
F measure
0.789
Per class
Kappa
0.5549
KB relative information score
508.9243
Mean absolute error
0.2099
Mean prior absolute error
0.475
Number of instances
930
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7888
Per class
Predictive accuracy
0.7892
Prior entropy
0.9645
Recall
0.7892
Per class
Relative absolute error
0.4418
Root mean prior squared error
0.4871
Root mean squared error
0.4549
Root relative squared error
0.934
SciMark benchmark
940.0668