DEVELOPMENT... OpenML
Run
168279

Run 168279

Task 3654 (Supervised Classification) fri_c1_100_10 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
0.6823
Per class
F measure
0.6702
Per class
Kappa
0.3384
KB relative information score
28.7404
Mean absolute error
0.3601
Mean prior absolute error
0.4982
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6705
Per class
Predictive accuracy
0.67
Prior entropy
0.9975
Recall
0.67
Per class
Relative absolute error
0.7227
Root mean prior squared error
0.4991
Root mean squared error
0.5337
Root relative squared error
1.0694
SciMark benchmark
945.6434
UserCPU time millis
20
UserCPU time millis testing
10
UserCPU time millis training
10