DEVELOPMENT... OpenML
Run
40819

Run 40819

Task 4257 (Supervised Classification) analcatdata_creditscore Uploaded 29-10-2014 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)_I80
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
0.9869
Per class
Build CPU time
0.0036
Build memory
889527933.36
F measure
0.9759
Per class
Kappa
0.9388
KB relative information score
915.0231
Mean absolute error
0.0326
Mean prior absolute error
0.3963
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9759
Per class
Predictive accuracy
0.976
Prior entropy
0.8479
Recall
0.976
Per class
Relative absolute error
0.0822
Root mean prior squared error
0.444
Root mean squared error
0.1296
Root relative squared error
0.2919
SciMark benchmark
942.9632