DEVELOPMENT... OpenML
Run
166979

Run 166979

Task 3797 (Supervised Classification) socmob 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
0.946
Per class
F measure
0.9248
Per class
Kappa
0.7738
KB relative information score
836.3162
Mean absolute error
0.0866
Mean prior absolute error
0.3451
Number of instances
1156
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9286
Per class
Predictive accuracy
0.9282
Prior entropy
0.7637
Recall
0.9282
Per class
Relative absolute error
0.2509
Root mean prior squared error
0.4152
Root mean squared error
0.2424
Root relative squared error
0.5839
SciMark benchmark
923.7642
UserCPU time millis
30
UserCPU time millis testing
10
UserCPU time millis training
20