DEVELOPMENT... OpenML
Run
44932

Run 44932

Task 3557 (Supervised Classification) schizo Uploaded 30-10-2014 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
0.9157
Per class
Build CPU time
2.8095
Build memory
881001340
F measure
0.879
Per class
Kappa
0.7577
KB relative information score
257.8753
Mean absolute error
0.1204
Mean prior absolute error
0.4992
Number of instances
340
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8813
Per class
Predictive accuracy
0.8794
Prior entropy
0.9988
Recall
0.8794
Per class
Relative absolute error
0.2413
Root mean prior squared error
0.4996
Root mean squared error
0.3417
Root relative squared error
0.6841
SciMark benchmark
931.9798