DEVELOPMENT... OpenML
Run
41126

Run 41126

Task 4325 (Supervised Classification) fri_c0_100_5 Uploaded 29-10-2014 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
0.8728
Per class
Build CPU time
0.1784
Build memory
1156602743.84
F measure
0.8488
Per class
Kappa
0.6955
KB relative information score
692.0254
Mean absolute error
0.1528
Mean prior absolute error
0.4969
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
0.8489
Per class
Predictive accuracy
0.849
Prior entropy
0.9956
Recall
0.849
Per class
Relative absolute error
0.3075
Root mean prior squared error
0.4984
Root mean squared error
0.3801
Root relative squared error
0.7627
SciMark benchmark
944.5683