DEVELOPMENT... OpenML
Run
36331

Run 36331

Task 3021 (Supervised Classification) sick 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)_I10
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
0.9843
Per class
Build CPU time
1.6839
Build memory
781920811.2047
F measure
0.9826
Per class
Kappa
0.8496
KB relative information score
2960.3011
Mean absolute error
0.0171
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
0.9827
Per class
Predictive accuracy
0.9825
Prior entropy
0.3333
Recall
0.9825
Per class
Relative absolute error
0.1487
Root mean prior squared error
0.2398
Root mean squared error
0.1241
Root relative squared error
0.5177
SciMark benchmark
941.8931