DEVELOPMENT... OpenML
Run
166671

Run 166671

Task 3495 (Supervised Classification) SPECT 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)_I80
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
0.7808
Per class
F measure
0.8039
Per class
Kappa
0.3965
KB relative information score
58.2139
Mean absolute error
0.224
Mean prior absolute error
0.3284
Number of instances
267
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8027
Per class
Predictive accuracy
0.8052
Prior entropy
0.738
Recall
0.8052
Per class
Relative absolute error
0.682
Root mean prior squared error
0.4044
Root mean squared error
0.3811
Root relative squared error
0.9423
SciMark benchmark
943.2817
UserCPU time millis
20
UserCPU time millis training
20