DEVELOPMENT... OpenML
Run
35832

Run 35832

Task 4199 (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)_I10
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
0.9895
Per class
Build CPU time
0.0315
Build memory
675900374.6224
F measure
0.9888
Per class
Kappa
0.9776
KB relative information score
5414.5189
Mean absolute error
0.0113
Mean prior absolute error
0.4992
Number of instances
5540
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9889
Per class
Predictive accuracy
0.9888
Prior entropy
0.9989
Recall
0.9888
Per class
Relative absolute error
0.0227
Root mean prior squared error
0.4996
Root mean squared error
0.1058
Root relative squared error
0.2117
SciMark benchmark
945.0342