DEVELOPMENT... OpenML
Run
38336

Run 38336

Task 3054 (Supervised Classification) monks-problems-2 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)_I20
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
0.8366
Per class
Build CPU time
0.059
Build memory
33095344
F measure
0.7497
Per class
Kappa
0.4576
KB relative information score
91.236
Mean absolute error
0.2462
Mean prior absolute error
0.4588
Number of instances
198
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7488
Per class
Predictive accuracy
0.7525
Prior entropy
0.9279
Recall
0.7525
Per class
Relative absolute error
0.5366
Root mean prior squared error
0.4831
Root mean squared error
0.424
Root relative squared error
0.8777
SciMark benchmark
938.2803