DEVELOPMENT... OpenML
Run
39415

Run 39415

Task 4245 (Supervised Classification) analcatdata_boxing1 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
0.8779
Per class
Build CPU time
0.0288
Build memory
1066133026.8
F measure
0.8319
Per class
Kappa
0.628
KB relative information score
745.718
Mean absolute error
0.1652
Mean prior absolute error
0.4557
Number of instances
1200
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8315
Per class
Predictive accuracy
0.8333
Prior entropy
0.9362
Recall
0.8333
Per class
Relative absolute error
0.3624
Root mean prior squared error
0.477
Root mean squared error
0.4
Root relative squared error
0.8386
SciMark benchmark
944.0892