DEVELOPMENT... OpenML
Run
44482

Run 44482

Task 4466 (Supervised Classification) hip 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)_I160
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
0.8323
Per class
Build CPU time
0.0287
Build memory
960435076.2963
F measure
0.796
Per class
Kappa
0.5914
KB relative information score
263.8642
Mean absolute error
0.266
Mean prior absolute error
0.4993
Number of instances
540
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7965
Per class
Predictive accuracy
0.7963
Prior entropy
0.9991
Recall
0.7963
Per class
Relative absolute error
0.5327
Root mean prior squared error
0.4997
Root mean squared error
0.4083
Root relative squared error
0.8171
SciMark benchmark
947.0987