DEVELOPMENT... OpenML
Run
168666

Run 168666

Task 3635 (Supervised Classification) fri_c1_250_50 Uploaded 20-02-2015 by Felicia West
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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)_I10
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
0.7265
Per class
F measure
0.6493
Per class
Kappa
0.2904
KB relative information score
73.295
Mean absolute error
0.3494
Mean prior absolute error
0.4954
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6501
Per class
Predictive accuracy
0.652
Prior entropy
0.9934
Recall
0.652
Per class
Relative absolute error
0.7052
Root mean prior squared error
0.4977
Root mean squared error
0.5623
Root relative squared error
1.1298
SciMark benchmark
931.2336
UserCPU time millis
160
UserCPU time millis testing
50
UserCPU time millis training
110