DEVELOPMENT... OpenML
Run
166949

Run 166949

Task 3767 (Supervised Classification) fri_c0_1000_50 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)_I80
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
0.9255
Per class
F measure
0.855
Per class
Kappa
0.71
KB relative information score
705.8004
Mean absolute error
0.1474
Mean prior absolute error
0.4998
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8552
Per class
Predictive accuracy
0.855
Prior entropy
0.9997
Recall
0.855
Per class
Relative absolute error
0.2949
Root mean prior squared error
0.4999
Root mean squared error
0.3587
Root relative squared error
0.7175
SciMark benchmark
923.7642
UserCPU time millis
4740
UserCPU time millis testing
1350
UserCPU time millis training
3390