DEVELOPMENT... OpenML
Run
166012

Run 166012

Task 3660 (Supervised Classification) disclosure_x_tampered Uploaded 18-02-2015 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_NaiveBayes(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(2)_C3
weka.MultiBoostAB_NaiveBayes(2)_P100
weka.MultiBoostAB_NaiveBayes(2)_S1
weka.MultiBoostAB_NaiveBayes(2)_I160
weka.MultiBoostAB_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes

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.

22 Evaluation measures

Area under ROC curve
0.52
Per class
F measure
0.5133
Per class
Kappa
0.0449
KB relative information score
6.1694
Mean absolute error
0.4964
Mean prior absolute error
0.4999
Number of instances
662
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5245
Per class
Predictive accuracy
0.5242
Prior entropy
0.9999
Recall
0.5242
Per class
Relative absolute error
0.9929
Root mean prior squared error
0.5
Root mean squared error
0.5008
Root relative squared error
1.0016
SciMark benchmark
894.7455
UserCPU time millis
10
UserCPU time millis training
10