DEVELOPMENT... OpenML
Run
40474

Run 40474

Task 4425 (Supervised Classification) fri_c4_500_10 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)_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
0.9246
Per class
Build CPU time
2.3034
Build memory
1077571361.6
F measure
0.8885
Per class
Kappa
0.7742
KB relative information score
3871.253
Mean absolute error
0.1111
Mean prior absolute error
0.4946
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
0.8885
Per class
Predictive accuracy
0.8886
Prior entropy
0.9922
Recall
0.8886
Per class
Relative absolute error
0.2245
Root mean prior squared error
0.4973
Root mean squared error
0.3263
Root relative squared error
0.6562
SciMark benchmark
938.2803