DEVELOPMENT... OpenML
Run
168404

Run 168404

Task 3913 (Supervised Classification) kc2 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
0.6481
Per class
F measure
0.8191
Per class
Kappa
0.4083
KB relative information score
121.1261
Mean absolute error
0.2498
Mean prior absolute error
0.3266
Number of instances
522
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8193
Per class
Predictive accuracy
0.8352
Prior entropy
0.734
Recall
0.8352
Per class
Relative absolute error
0.7649
Root mean prior squared error
0.4037
Root mean squared error
0.3702
Root relative squared error
0.9171
SciMark benchmark
945.6434
UserCPU time millis
50
UserCPU time millis testing
20
UserCPU time millis training
30