DEVELOPMENT... OpenML
Run
39498

Run 39498

Task 3494 (Supervised Classification) monks-problems-3 Uploaded 28-10-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.9886
Per class
Build CPU time
0.165
Build memory
761909284.1444
F measure
0.9819
Per class
Kappa
0.9638
KB relative information score
533.3863
Mean absolute error
0.0186
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
0.982
Per class
Predictive accuracy
0.9819
Prior entropy
0.9989
Recall
0.9819
Per class
Relative absolute error
0.0373
Root mean prior squared error
0.4996
Root mean squared error
0.1326
Root relative squared error
0.2654
SciMark benchmark
944.0892