DEVELOPMENT... OpenML
Run
40840

Run 40840

Task 3494 (Supervised Classification) monks-problems-3 Uploaded 29-10-2014 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)_I80
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
0.9833
Per class
Build CPU time
0.2877
Build memory
910219894.2383
F measure
0.9783
Per class
Kappa
0.9566
KB relative information score
530.2273
Mean absolute error
0.0213
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
0.9783
Per class
Predictive accuracy
0.9783
Prior entropy
0.9989
Recall
0.9783
Per class
Relative absolute error
0.0427
Root mean prior squared error
0.4996
Root mean squared error
0.1452
Root relative squared error
0.2905
SciMark benchmark
909.9339