DEVELOPMENT... OpenML
Run
36517

Run 36517

Task 4325 (Supervised Classification) fri_c0_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
0.8697
Per class
Build CPU time
0.0235
Build memory
1330918290.8
F measure
0.8271
Per class
Kappa
0.6522
KB relative information score
647.1567
Mean absolute error
0.175
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
0.8273
Per class
Predictive accuracy
0.827
Prior entropy
0.9956
Recall
0.827
Per class
Relative absolute error
0.3522
Root mean prior squared error
0.4984
Root mean squared error
0.3996
Root relative squared error
0.8017
SciMark benchmark
909.9339