DEVELOPMENT... OpenML
Run
168810

Run 168810

Task 3779 (Supervised Classification) fri_c3_100_5 Uploaded 20-02-2015 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)_I10
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
0.7768
Per class
F measure
0.7357
Per class
Kappa
0.4619
KB relative information score
41.3664
Mean absolute error
0.2931
Mean prior absolute error
0.4929
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
0.7413
Per class
Predictive accuracy
0.74
Prior entropy
0.99
Recall
0.74
Per class
Relative absolute error
0.5946
Root mean prior squared error
0.4964
Root mean squared error
0.4574
Root relative squared error
0.9214
SciMark benchmark
927.0753
UserCPU time millis
10
UserCPU time millis training
10