DEVELOPMENT... OpenML
Run
37871

Run 37871

Task 4261 (Supervised Classification) analcatdata_cyyoung8092 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
0.7531
Per class
Build CPU time
0.0602
Build memory
800697951.6371
F measure
0.8136
Per class
Kappa
0.4861
KB relative information score
443.3203
Mean absolute error
0.1809
Mean prior absolute error
0.375
Number of instances
970
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8113
Per class
Predictive accuracy
0.8196
Prior entropy
0.8153
Recall
0.8196
Per class
Relative absolute error
0.4823
Root mean prior squared error
0.4315
Root mean squared error
0.4203
Root relative squared error
0.974
SciMark benchmark
941.5865