DEVELOPMENT... OpenML
Run
37879

Run 37879

Task 3495 (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)_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
0.7852
Per class
Build CPU time
0.0922
Build memory
2061148308.2846
F measure
0.8055
Per class
Kappa
0.3862
KB relative information score
85.4568
Mean absolute error
0.1916
Mean prior absolute error
0.3284
Number of instances
267
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8011
Per class
Predictive accuracy
0.8127
Prior entropy
0.738
Recall
0.8127
Per class
Relative absolute error
0.5835
Root mean prior squared error
0.4044
Root mean squared error
0.4203
Root relative squared error
1.0393
SciMark benchmark
945.6653