DEVELOPMENT... OpenML
Run
39300

Run 39300

Task 3705 (Supervised Classification) autoHorse 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
0.9938
Per class
Build CPU time
0.1311
Build memory
800248014.9073
F measure
0.9804
Per class
Kappa
0.9594
KB relative information score
181.0701
Mean absolute error
0.0634
Mean prior absolute error
0.4821
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9806
Per class
Predictive accuracy
0.9805
Prior entropy
0.9742
Recall
0.9805
Per class
Relative absolute error
0.1315
Root mean prior squared error
0.4909
Root mean squared error
0.159
Root relative squared error
0.324
SciMark benchmark
944.7154