DEVELOPMENT... OpenML
Run
166780

Run 166780

Task 3598 (Supervised Classification) fri_c0_250_50 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
0.8503
Per class
F measure
0.7842
Per class
Kappa
0.568
KB relative information score
141.8705
Mean absolute error
0.2148
Mean prior absolute error
0.498
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
0.786
Per class
Predictive accuracy
0.784
Prior entropy
0.9971
Recall
0.784
Per class
Relative absolute error
0.4313
Root mean prior squared error
0.499
Root mean squared error
0.457
Root relative squared error
0.9158
SciMark benchmark
923.7642
UserCPU time millis
470
UserCPU time millis testing
140
UserCPU time millis training
330