DEVELOPMENT... OpenML
Run
165886

Run 165886

Task 3524 (Supervised Classification) fbis.wc Uploaded 18-02-2015 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)_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
0.8448
Per class
F measure
0.6401
Per class
Kappa
0.5994
KB relative information score
929.118
Mean absolute error
0.0868
Mean prior absolute error
0.1047
Number of instances
2463
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6583
Per class
Predictive accuracy
0.6415
Prior entropy
3.5848
Recall
0.6415
Per class
Relative absolute error
0.8286
Root mean prior squared error
0.2288
Root mean squared error
0.1947
Root relative squared error
0.8511
SciMark benchmark
894.7455
UserCPU time millis
772160
UserCPU time millis testing
241240
UserCPU time millis training
530920