DEVELOPMENT... OpenML
Run
168160

Run 168160

Task 3495 (Supervised Classification) SPECT 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
0.777
Per class
F measure
0.812
Per class
Kappa
0.4351
KB relative information score
85.697
Mean absolute error
0.1909
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
0.8156
Per class
Predictive accuracy
0.809
Prior entropy
0.738
Recall
0.809
Per class
Relative absolute error
0.5813
Root mean prior squared error
0.4044
Root mean squared error
0.4085
Root relative squared error
1.01
SciMark benchmark
945.7621
UserCPU time millis
40
UserCPU time millis testing
10
UserCPU time millis training
30