DEVELOPMENT... OpenML
Run
35553

Run 35553

Task 3890 (Supervised Classification) ada_prior 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
0.8818
Per class
Build CPU time
2.0377
Build memory
68012490.3306
F measure
0.8379
Per class
Kappa
0.5527
KB relative information score
2402.923
Mean absolute error
0.1586
Mean prior absolute error
0.3732
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8369
Per class
Predictive accuracy
0.8437
Prior entropy
0.8085
Recall
0.8437
Per class
Relative absolute error
0.4251
Root mean prior squared error
0.4319
Root mean squared error
0.3826
Root relative squared error
0.8857
SciMark benchmark
942.6202