DEVELOPMENT... OpenML
Run
38799

Run 38799

Task 4380 (Supervised Classification) pbc 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)_I40
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
0.7727
Per class
Build CPU time
0.7694
Build memory
854102176.7388
F measure
0.6967
Per class
Kappa
0.3865
KB relative information score
1613.336
Mean absolute error
0.3027
Mean prior absolute error
0.495
Number of instances
4180
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6965
Per class
Predictive accuracy
0.6971
Prior entropy
0.9928
Recall
0.6971
Per class
Relative absolute error
0.6116
Root mean prior squared error
0.4975
Root mean squared error
0.5286
Root relative squared error
1.0626
SciMark benchmark
944.2618