DEVELOPMENT... OpenML
Run
168237

Run 168237

Task 3612 (Supervised Classification) fri_c1_250_25 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
0.6402
Per class
F measure
0.6211
Per class
Kappa
0.2229
KB relative information score
45.045
Mean absolute error
0.4037
Mean prior absolute error
0.4897
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6203
Per class
Predictive accuracy
0.624
Prior entropy
0.9852
Recall
0.624
Per class
Relative absolute error
0.8243
Root mean prior squared error
0.4948
Root mean squared error
0.5377
Root relative squared error
1.0867
SciMark benchmark
945.6434
UserCPU time millis
50
UserCPU time millis testing
20
UserCPU time millis training
30