DEVELOPMENT... OpenML
Run
44661

Run 44661

Task 4514 (Supervised Classification) visualizing_ethanol Uploaded 30-10-2014 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)_I160
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
0.5779
Per class
Build CPU time
0.1777
Build memory
454041293.3455
F measure
0.5739
Per class
Kappa
0.1479
KB relative information score
129.6177
Mean absolute error
0.426
Mean prior absolute error
0.4997
Number of instances
880
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5743
Per class
Predictive accuracy
0.5739
Prior entropy
0.9996
Recall
0.5739
Per class
Relative absolute error
0.8525
Root mean prior squared error
0.4999
Root mean squared error
0.6507
Root relative squared error
1.3018
SciMark benchmark
890.4487