DEVELOPMENT... OpenML
Run
168163

Run 168163

Task 3498 (Supervised Classification) pasture 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
0.7865
Per class
F measure
0.6111
Per class
Kappa
0.4167
KB relative information score
18.0632
Mean absolute error
0.2411
Mean prior absolute error
0.4444
Number of instances
36
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6111
Per class
Predictive accuracy
0.6111
Prior entropy
1.585
Recall
0.6111
Per class
Relative absolute error
0.5425
Root mean prior squared error
0.4714
Root mean squared error
0.4756
Root relative squared error
1.0089
SciMark benchmark
945.7621
UserCPU time millis
30
UserCPU time millis testing
10
UserCPU time millis training
20