DEVELOPMENT... OpenML
Run
37577

Run 37577

Task 4403 (Supervised Classification) bank32nh 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)_I20
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
0.8749
Per class
Build CPU time
35.0611
Build memory
1232649746.7756
F measure
0.8027
Per class
Kappa
0.5302
KB relative information score
42479.4074
Mean absolute error
0.194
Mean prior absolute error
0.4281
Number of instances
81920
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8023
Per class
Predictive accuracy
0.8078
Prior entropy
0.8937
Recall
0.8078
Per class
Relative absolute error
0.4532
Root mean prior squared error
0.4627
Root mean squared error
0.4142
Root relative squared error
0.8952
SciMark benchmark
920.6195