DEVELOPMENT... OpenML
Run
168726

Run 168726

Task 3695 (Supervised Classification) fri_c2_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
0.8716
Per class
F measure
0.8499
Per class
Kappa
0.6822
KB relative information score
156.0749
Mean absolute error
0.1711
Mean prior absolute error
0.4633
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
0.8572
Per class
Predictive accuracy
0.848
Prior entropy
0.9468
Recall
0.848
Per class
Relative absolute error
0.3694
Root mean prior squared error
0.4812
Root mean squared error
0.3833
Root relative squared error
0.7967
SciMark benchmark
931.2336
UserCPU time millis
60
UserCPU time millis testing
20
UserCPU time millis training
40