DEVELOPMENT... OpenML
Run
40909

Run 40909

Task 4275 (Supervised Classification) biomed Uploaded 29-10-2014 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)_I80
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
0.9395
Per class
Build CPU time
0.466
Build memory
2265267052.2909
F measure
0.9444
Per class
Kappa
0.8783
KB relative information score
1824.4097
Mean absolute error
0.0562
Mean prior absolute error
0.4605
Number of instances
2090
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9456
Per class
Predictive accuracy
0.945
Prior entropy
0.9428
Recall
0.945
Per class
Relative absolute error
0.122
Root mean prior squared error
0.4797
Root mean squared error
0.2348
Root relative squared error
0.4896
SciMark benchmark
941.2906