DEVELOPMENT... OpenML
Run
35874

Run 35874

Task 4461 (Supervised Classification) visualizing_hamster 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)_I10
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
0.7175
Per class
Build CPU time
0.0167
Build memory
757059464.0986
F measure
0.6917
Per class
Kappa
0.3763
KB relative information score
276.1361
Mean absolute error
0.3071
Mean prior absolute error
0.4955
Number of instances
730
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6937
Per class
Predictive accuracy
0.6945
Prior entropy
0.9937
Recall
0.6945
Per class
Relative absolute error
0.6198
Root mean prior squared error
0.4977
Root mean squared error
0.5385
Root relative squared error
1.082
SciMark benchmark
942.0655