DEVELOPMENT... OpenML
Run
44951

Run 44951

Task 4324 (Supervised Classification) wisconsin Uploaded 30-10-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.5206
Per class
Build CPU time
3.9051
Build memory
112934997.8392
F measure
0.5147
Per class
Kappa
0.024
KB relative information score
43.8147
Mean absolute error
0.4851
Mean prior absolute error
0.4974
Number of instances
1940
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5146
Per class
Predictive accuracy
0.5149
Prior entropy
0.9963
Recall
0.5149
Per class
Relative absolute error
0.9752
Root mean prior squared error
0.4987
Root mean squared error
0.6916
Root relative squared error
1.3868
SciMark benchmark
909.9339