DEVELOPMENT... OpenML
Run
39506

Run 39506

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)_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
0.7592
Per class
Build CPU time
0.2644
Build memory
889188734.2622
F measure
0.804
Per class
Kappa
0.3872
KB relative information score
85.7349
Mean absolute error
0.1904
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
0.8004
Per class
Predictive accuracy
0.809
Prior entropy
0.738
Recall
0.809
Per class
Relative absolute error
0.5798
Root mean prior squared error
0.4044
Root mean squared error
0.425
Root relative squared error
1.0509
SciMark benchmark
941.4198