DEVELOPMENT... OpenML
Run
38231

Run 38231

Task 4325 (Supervised Classification) fri_c0_100_5 Uploaded 28-10-2014 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)_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
0.8723
Per class
Build CPU time
0.0459
Build memory
71381046.56
F measure
0.833
Per class
Kappa
0.6637
KB relative information score
662.3223
Mean absolute error
0.1672
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
0.8329
Per class
Predictive accuracy
0.833
Prior entropy
0.9956
Recall
0.833
Per class
Relative absolute error
0.3365
Root mean prior squared error
0.4984
Root mean squared error
0.395
Root relative squared error
0.7925
SciMark benchmark
943.8925