DEVELOPMENT... OpenML
Run
37820

Run 37820

Task 4505 (Supervised Classification) fri_c3_500_50 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)_I20
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
0.929
Per class
Build CPU time
2.6677
Build memory
731249333.92
F measure
0.8693
Per class
Kappa
0.7334
KB relative information score
3669.4125
Mean absolute error
0.13
Mean prior absolute error
0.4918
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.87
Per class
Predictive accuracy
0.8698
Prior entropy
0.9882
Recall
0.8698
Per class
Relative absolute error
0.2643
Root mean prior squared error
0.4959
Root mean squared error
0.3456
Root relative squared error
0.697
SciMark benchmark
947.0987