DEVELOPMENT... OpenML
Run
44520

Run 44520

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)_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
0.8818
Per class
Build CPU time
280.6203
Build memory
379205885.4283
F measure
0.8097
Per class
Kappa
0.5476
KB relative information score
43689.5102
Mean absolute error
0.1882
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
0.8093
Per class
Predictive accuracy
0.8142
Prior entropy
0.8937
Recall
0.8142
Per class
Relative absolute error
0.4396
Root mean prior squared error
0.4627
Root mean squared error
0.4083
Root relative squared error
0.8825
SciMark benchmark
897.921