DEVELOPMENT... OpenML
Run
37960

Run 37960

Task 4529 (Supervised Classification) analcatdata_broadwaymult 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
0.8453
Per class
Build CPU time
0.1164
Build memory
555834394.546
F measure
0.7857
Per class
Kappa
0.5571
KB relative information score
1548.9279
Mean absolute error
0.2194
Mean prior absolute error
0.4853
Number of instances
2850
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7854
Per class
Predictive accuracy
0.7863
Prior entropy
0.9789
Recall
0.7863
Per class
Relative absolute error
0.4522
Root mean prior squared error
0.4926
Root mean squared error
0.4465
Root relative squared error
0.9064
SciMark benchmark
947.0987