DEVELOPMENT... OpenML
Run
39217

Run 39217

Task 4200 (Supervised Classification) SPECT 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)_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
0.8037
Per class
Build CPU time
0.1713
Build memory
993209459.6345
F measure
0.813
Per class
Kappa
0.4117
KB relative information score
953.9291
Mean absolute error
0.1804
Mean prior absolute error
0.3284
Number of instances
2670
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8092
Per class
Predictive accuracy
0.8191
Prior entropy
0.738
Recall
0.8191
Per class
Relative absolute error
0.5493
Root mean prior squared error
0.4044
Root mean squared error
0.4102
Root relative squared error
1.0143
SciMark benchmark
939.9671