DEVELOPMENT... OpenML
Run
41001

Run 41001

Task 3021 (Supervised Classification) sick 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
0.9704
Per class
Build CPU time
12.6505
Build memory
1564482923.6246
F measure
0.9901
Per class
Kappa
0.9131
KB relative information score
3281.9005
Mean absolute error
0.0101
Mean prior absolute error
0.1152
Number of instances
3772
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9901
Per class
Predictive accuracy
0.9902
Prior entropy
0.3333
Recall
0.9902
Per class
Relative absolute error
0.088
Root mean prior squared error
0.2398
Root mean squared error
0.0968
Root relative squared error
0.4039
SciMark benchmark
939.7104