DEVELOPMENT... OpenML
Run
38547

Run 38547

Task 3587 (Supervised Classification) pwLinear 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)_I40
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
0.9116
Per class
Build CPU time
0.216
Build memory
54749152.8
F measure
0.865
Per class
Kappa
0.7298
KB relative information score
145.9185
Mean absolute error
0.135
Mean prior absolute error
0.4996
Number of instances
200
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8651
Per class
Predictive accuracy
0.865
Prior entropy
0.9994
Recall
0.865
Per class
Relative absolute error
0.2702
Root mean prior squared error
0.4998
Root mean squared error
0.3638
Root relative squared error
0.7279
SciMark benchmark
939.6491