DEVELOPMENT... OpenML
Run
36316

Run 36316

Task 4297 (Supervised Classification) fri_c2_100_5 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)_I10
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
0.849
Per class
Build CPU time
0.0335
Build memory
2032473475.36
F measure
0.8241
Per class
Kappa
0.6322
KB relative information score
629.4196
Mean absolute error
0.1749
Mean prior absolute error
0.4804
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
0.824
Per class
Predictive accuracy
0.825
Prior entropy
0.9721
Recall
0.825
Per class
Relative absolute error
0.364
Root mean prior squared error
0.4899
Root mean squared error
0.406
Root relative squared error
0.8287
SciMark benchmark
944.2629