DEVELOPMENT... OpenML
Run
168188

Run 168188

Task 2256 (Supervised Classification) BNG(pendigits) Uploaded 19-02-2015 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)_I20
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
0.8789
Per class
F measure
0.7669
Per class
Kappa
0.7411
KB relative information score
469530.8462
Mean absolute error
0.1253
Mean prior absolute error
0.18
Number of instances
1000000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7706
Per class
Predictive accuracy
0.767
Prior entropy
3.3207
Recall
0.767
Per class
Relative absolute error
0.6961
Root mean prior squared error
0.3
Root mean squared error
0.2385
Root relative squared error
0.7951
SciMark benchmark
938.2848
UserCPU time millis
1237800
UserCPU time millis testing
375450
UserCPU time millis training
862350