DEVELOPMENT... OpenML
Run
40687

Run 40687

Task 4403 (Supervised Classification) bank32nh 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)_I80
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
0.8816
Per class
Build CPU time
157.5509
Build memory
1239995025.2502
F measure
0.8085
Per class
Kappa
0.5447
KB relative information score
43512.4684
Mean absolute error
0.189
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
0.808
Per class
Predictive accuracy
0.813
Prior entropy
0.8937
Recall
0.813
Per class
Relative absolute error
0.4414
Root mean prior squared error
0.4627
Root mean squared error
0.4085
Root relative squared error
0.8829
SciMark benchmark
943.404