DEVELOPMENT... OpenML
Run
39354

Run 39354

Task 4403 (Supervised Classification) bank32nh Uploaded 28-10-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.8788
Per class
Build CPU time
68.766
Build memory
1027382951.5272
F measure
0.8056
Per class
Kappa
0.5369
KB relative information score
43051.9388
Mean absolute error
0.1913
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
0.8053
Per class
Predictive accuracy
0.8106
Prior entropy
0.8937
Recall
0.8106
Per class
Relative absolute error
0.4468
Root mean prior squared error
0.4627
Root mean squared error
0.4105
Root relative squared error
0.8873
SciMark benchmark
940.0668