DEVELOPMENT... OpenML
Run
168259

Run 168259

Task 3634 (Supervised Classification) fri_c3_100_25 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
0.5426
Per class
F measure
0.52
Per class
Kappa
0.0303
KB relative information score
2.6615
Mean absolute error
0.4792
Mean prior absolute error
0.4951
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
0.52
Per class
Predictive accuracy
0.52
Prior entropy
0.9931
Recall
0.52
Per class
Relative absolute error
0.9679
Root mean prior squared error
0.4975
Root mean squared error
0.6512
Root relative squared error
1.3089
SciMark benchmark
945.6434
UserCPU time millis
110
UserCPU time millis testing
30
UserCPU time millis training
80