DEVELOPMENT... OpenML
Run
40973

Run 40973

Task 3781 (Supervised Classification) fri_c4_250_50 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)_I80
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
0.8266
Per class
Build CPU time
4.4136
Build memory
1737656893.6
F measure
0.7995
Per class
Kappa
0.5959
KB relative information score
149.1772
Mean absolute error
0.1997
Mean prior absolute error
0.4968
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7999
Per class
Predictive accuracy
0.8
Prior entropy
0.9955
Recall
0.8
Per class
Relative absolute error
0.4019
Root mean prior squared error
0.4984
Root mean squared error
0.4431
Root relative squared error
0.8891
SciMark benchmark
909.9339