DEVELOPMENT... OpenML
Run
168222

Run 168222

Task 3598 (Supervised Classification) fri_c0_250_50 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
0.8722
Per class
F measure
0.784
Per class
Kappa
0.5662
KB relative information score
142.4894
Mean absolute error
0.2134
Mean prior absolute error
0.498
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
0.784
Per class
Predictive accuracy
0.784
Prior entropy
0.9971
Recall
0.784
Per class
Relative absolute error
0.4285
Root mean prior squared error
0.499
Root mean squared error
0.448
Root relative squared error
0.8979
SciMark benchmark
932.3943
UserCPU time millis
340
UserCPU time millis testing
110
UserCPU time millis training
230