DEVELOPMENT... OpenML
Run
45357

Run 45357

Task 4601 (Supervised Classification) ada_agnostic Uploaded 30-10-2014 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)_I160
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
0.897
Per class
Build CPU time
123.1307
Build memory
835622471.0201
F measure
0.8443
Per class
Kappa
0.5705
KB relative information score
24862.9576
Mean absolute error
0.1523
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
0.8437
Per class
Predictive accuracy
0.8499
Prior entropy
0.8085
Recall
0.8499
Per class
Relative absolute error
0.4082
Root mean prior squared error
0.4319
Root mean squared error
0.3696
Root relative squared error
0.8558
SciMark benchmark
942.6202