DEVELOPMENT... OpenML
Run
35645

Run 35645

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)_I10
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
0.8643
Per class
Build CPU time
20.1685
Build memory
581921457.1162
F measure
0.7983
Per class
Kappa
0.5192
KB relative information score
41684.008
Mean absolute error
0.198
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
0.798
Per class
Predictive accuracy
0.8039
Prior entropy
0.8937
Recall
0.8039
Per class
Relative absolute error
0.4626
Root mean prior squared error
0.4627
Root mean squared error
0.4182
Root relative squared error
0.9038
SciMark benchmark
890.4487