DEVELOPMENT... OpenML
Run
44375

Run 44375

Task 4441 (Supervised Classification) boston 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)_I160
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
0.8913
Per class
Build CPU time
3.6291
Build memory
1040716159.3312
F measure
0.8814
Per class
Kappa
0.7548
KB relative information score
3808.476
Mean absolute error
0.1183
Mean prior absolute error
0.4849
Number of instances
5060
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8815
Per class
Predictive accuracy
0.8818
Prior entropy
0.9782
Recall
0.8818
Per class
Relative absolute error
0.244
Root mean prior squared error
0.4924
Root mean squared error
0.3415
Root relative squared error
0.6936
SciMark benchmark
946.1004