DEVELOPMENT... OpenML
Run
167504

Run 167504

Task 3610 (Supervised Classification) fri_c3_250_5 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)_I40
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
0.8028
Per class
F measure
0.7164
Per class
Kappa
0.421
KB relative information score
80.5384
Mean absolute error
0.3441
Mean prior absolute error
0.4919
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
0.7189
Per class
Predictive accuracy
0.72
Prior entropy
0.9883
Recall
0.72
Per class
Relative absolute error
0.6995
Root mean prior squared error
0.4959
Root mean squared error
0.4324
Root relative squared error
0.872
SciMark benchmark
941.7954
UserCPU time millis
20
UserCPU time millis testing
10
UserCPU time millis training
10