DEVELOPMENT... OpenML
Run
35982

Run 35982

Task 4479 (Supervised Classification) fri_c2_250_5 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)_I10
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
0.9309
Per class
Build CPU time
0.0578
Build memory
586800908.56
F measure
0.8724
Per class
Kappa
0.7405
KB relative information score
1856.1698
Mean absolute error
0.126
Mean prior absolute error
0.4929
Number of instances
2500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8728
Per class
Predictive accuracy
0.8728
Prior entropy
0.9898
Recall
0.8728
Per class
Relative absolute error
0.2556
Root mean prior squared error
0.4964
Root mean squared error
0.3429
Root relative squared error
0.6907
SciMark benchmark
940.9202