DEVELOPMENT... OpenML
Run
44677

Run 44677

Task 3494 (Supervised Classification) monks-problems-3 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
0.9817
Per class
Build CPU time
0.5239
Build memory
589016414.8303
F measure
0.9801
Per class
Kappa
0.9602
KB relative information score
531.1163
Mean absolute error
0.0206
Mean prior absolute error
0.4992
Number of instances
554
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9801
Per class
Predictive accuracy
0.9801
Prior entropy
0.9989
Recall
0.9801
Per class
Relative absolute error
0.0414
Root mean prior squared error
0.4996
Root mean squared error
0.1421
Root relative squared error
0.2845
SciMark benchmark
931.9798