DEVELOPMENT... OpenML
Run
39111

Run 39111

Task 4431 (Supervised Classification) sleuth_ex2016 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
0.6721
Per class
Build CPU time
0.1249
Build memory
1099742520.9012
F measure
0.6482
Per class
Kappa
0.2954
KB relative information score
259.1859
Mean absolute error
0.3503
Mean prior absolute error
0.4994
Number of instances
870
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6481
Per class
Predictive accuracy
0.6483
Prior entropy
0.9992
Recall
0.6483
Per class
Relative absolute error
0.7014
Root mean prior squared error
0.4997
Root mean squared error
0.5858
Root relative squared error
1.1723
SciMark benchmark
941.9633