DEVELOPMENT... OpenML
Run
36829

Run 36829

Task 4610 (Supervised Classification) mc2 Uploaded 28-10-2014 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)_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
0.6999
Per class
Build CPU time
0.4215
Build memory
1094098423.9851
F measure
0.7058
Per class
Kappa
0.3104
KB relative information score
511.6353
Mean absolute error
0.2827
Mean prior absolute error
0.4381
Number of instances
1610
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7035
Per class
Predictive accuracy
0.7174
Prior entropy
0.9099
Recall
0.7174
Per class
Relative absolute error
0.6454
Root mean prior squared error
0.4676
Root mean squared error
0.5196
Root relative squared error
1.1111
SciMark benchmark
920.6195