DEVELOPMENT... OpenML
Run
166715

Run 166715

Task 3020 (Supervised Classification) covertype Uploaded 18-02-2015 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)_I80
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
0.8069
Per class
F measure
0.7329
Per class
Kappa
0.4669
KB relative information score
204929.2856
Mean absolute error
0.3356
Mean prior absolute error
0.4997
Number of instances
581012
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7352
Per class
Predictive accuracy
0.733
Prior entropy
0.9996
Recall
0.733
Per class
Relative absolute error
0.6716
Root mean prior squared error
0.4998
Root mean squared error
0.4236
Root relative squared error
0.8475
SciMark benchmark
922.9039
UserCPU time millis
1615360
UserCPU time millis testing
397460
UserCPU time millis training
1217900