DEVELOPMENT... OpenML
Run
44566

Run 44566

Task 4490 (Supervised Classification) fri_c2_100_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
0.886
Per class
Build CPU time
0.2375
Build memory
1178202951.36
F measure
0.8379
Per class
Kappa
0.6671
KB relative information score
586.0567
Mean absolute error
0.2098
Mean prior absolute error
0.4875
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8378
Per class
Predictive accuracy
0.838
Prior entropy
0.9822
Recall
0.838
Per class
Relative absolute error
0.4304
Root mean prior squared error
0.4936
Root mean squared error
0.3599
Root relative squared error
0.7292
SciMark benchmark
944.7154