DEVELOPMENT... OpenML
Run
36809

Run 36809

Task 4601 (Supervised Classification) ada_agnostic 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
10.6563
Build memory
809200123.4574
F measure
0.8385
Per class
Kappa
0.5538
KB relative information score
24212.8083
Mean absolute error
0.1573
Mean prior absolute error
0.3732
Number of instances
45620
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8377
Per class
Predictive accuracy
0.8446
Prior entropy
0.8085
Recall
0.8446
Per class
Relative absolute error
0.4214
Root mean prior squared error
0.4319
Root mean squared error
0.3794
Root relative squared error
0.8784
SciMark benchmark
940.9202