DEVELOPMENT... OpenML
Run
37300

Run 37300

Task 3913 (Supervised Classification) kc2 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
0.7962
Per class
Build CPU time
0.7168
Build memory
83355716.5824
F measure
0.8272
Per class
Kappa
0.4445
KB relative information score
209.2299
Mean absolute error
0.167
Mean prior absolute error
0.3266
Number of instances
522
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8244
Per class
Predictive accuracy
0.8372
Prior entropy
0.734
Recall
0.8372
Per class
Relative absolute error
0.5115
Root mean prior squared error
0.4037
Root mean squared error
0.3931
Root relative squared error
0.9737
SciMark benchmark
941.7327