DEVELOPMENT... OpenML
Run
168831

Run 168831

Task 3798 (Supervised Classification) fri_c1_250_10 Uploaded 20-02-2015 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)_I10
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
0.7681
Per class
F measure
0.696
Per class
Kappa
0.3831
KB relative information score
90.2293
Mean absolute error
0.3148
Mean prior absolute error
0.4929
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.696
Per class
Predictive accuracy
0.696
Prior entropy
0.9898
Recall
0.696
Per class
Relative absolute error
0.6388
Root mean prior squared error
0.4964
Root mean squared error
0.5282
Root relative squared error
1.0642
SciMark benchmark
931.2336
UserCPU time millis
50
UserCPU time millis testing
20
UserCPU time millis training
30