DEVELOPMENT... OpenML
Run
166045

Run 166045

Task 3693 (Supervised Classification) fri_c4_100_100 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)_I160
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
0.5871
Per class
F measure
0.5902
Per class
Kappa
0.178
KB relative information score
17.8515
Mean absolute error
0.4082
Mean prior absolute error
0.4982
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5905
Per class
Predictive accuracy
0.59
Prior entropy
0.9975
Recall
0.59
Per class
Relative absolute error
0.8192
Root mean prior squared error
0.4991
Root mean squared error
0.6347
Root relative squared error
1.2717
SciMark benchmark
894.7455
UserCPU time millis
2210
UserCPU time millis testing
680
UserCPU time millis training
1530