DEVELOPMENT... OpenML
Run
44795

Run 44795

Task 4291 (Supervised Classification) abalone 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
0.8775
Per class
Build CPU time
29.9193
Build memory
198750115.4379
F measure
0.7923
Per class
Kappa
0.5849
KB relative information score
24156.9745
Mean absolute error
0.2117
Mean prior absolute error
0.5
Number of instances
41770
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7931
Per class
Predictive accuracy
0.7924
Prior entropy
1
Recall
0.7924
Per class
Relative absolute error
0.4233
Root mean prior squared error
0.5
Root mean squared error
0.4267
Root relative squared error
0.8534
SciMark benchmark
897.921