DEVELOPMENT... OpenML
Run
166108

Run 166108

Task 3756 (Supervised Classification) visualizing_hamster 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
0.6167
Per class
F measure
0.589
Per class
Kappa
0.1705
KB relative information score
7.6287
Mean absolute error
0.4481
Mean prior absolute error
0.4955
Number of instances
73
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.589
Per class
Predictive accuracy
0.589
Prior entropy
0.9937
Recall
0.589
Per class
Relative absolute error
0.9044
Root mean prior squared error
0.4977
Root mean squared error
0.5124
Root relative squared error
1.0294
SciMark benchmark
894.7455
UserCPU time millis
10
UserCPU time millis training
10