DEVELOPMENT... OpenML
Run
44560

Run 44560

Task 4486 (Supervised Classification) fri_c4_250_50 Uploaded 30-10-2014 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
0.8195
Per class
Build CPU time
8.948
Build memory
1076448632.24
F measure
0.8113
Per class
Kappa
0.6196
KB relative information score
1547.5074
Mean absolute error
0.1888
Mean prior absolute error
0.4968
Number of instances
2500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8123
Per class
Predictive accuracy
0.812
Prior entropy
0.9955
Recall
0.812
Per class
Relative absolute error
0.38
Root mean prior squared error
0.4984
Root mean squared error
0.4322
Root relative squared error
0.8671
SciMark benchmark
944.7154