DEVELOPMENT... OpenML
Run
39904

Run 39904

Task 3055 (Supervised Classification) monks-problems-3 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)_I40
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
0.9953
Per class
Build CPU time
0.095
Build memory
1078845136
F measure
0.9836
Per class
Kappa
0.9663
KB relative information score
175.7767
Mean absolute error
0.0134
Mean prior absolute error
0.4967
Number of instances
182
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9841
Per class
Predictive accuracy
0.9835
Prior entropy
0.9989
Recall
0.9835
Per class
Relative absolute error
0.027
Root mean prior squared error
0.4971
Root mean squared error
0.1081
Root relative squared error
0.2175
SciMark benchmark
944.7154