DEVELOPMENT... OpenML
Run
168112

Run 168112

Task 2072 (Supervised Classification) covertype 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
0.7505
Per class
F measure
0.6242
Per class
Kappa
0.4342
KB relative information score
29973.5334
Mean absolute error
0.1642
Mean prior absolute error
0.1853
Number of instances
110393
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6351
Per class
Predictive accuracy
0.6276
Prior entropy
1.8698
Recall
0.6276
Per class
Relative absolute error
0.8864
Root mean prior squared error
0.3044
Root mean squared error
0.2892
Root relative squared error
0.9501
SciMark benchmark
942.6953
UserCPU time millis
200030
UserCPU time millis testing
64130
UserCPU time millis training
135900