DEVELOPMENT... OpenML
Run
166703

Run 166703

Task 3481 (Supervised Classification) isolet 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
0.9649
Per class
F measure
0.8496
Per class
Kappa
0.8447
KB relative information score
5519.7413
Mean absolute error
0.0402
Mean prior absolute error
0.074
Number of instances
7797
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8601
Per class
Predictive accuracy
0.8507
Prior entropy
4.7004
Recall
0.8507
Per class
Relative absolute error
0.5438
Root mean prior squared error
0.1923
Root mean squared error
0.1156
Root relative squared error
0.601
SciMark benchmark
939.7623
UserCPU time millis
451220
UserCPU time millis testing
140600
UserCPU time millis training
310620