DEVELOPMENT... OpenML
Run
168894

Run 168894

Task 3856 (Supervised Classification) kdd_ipums_la_97-small Uploaded 20-02-2015 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)_I10
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
0.8041
Per class
F measure
0.7104
Per class
Kappa
0.4628
KB relative information score
2495.0466
Mean absolute error
0.2927
Mean prior absolute error
0.466
Number of instances
7019
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8251
Per class
Predictive accuracy
0.7114
Prior entropy
0.9504
Recall
0.7114
Per class
Relative absolute error
0.6281
Root mean prior squared error
0.4827
Root mean squared error
0.5252
Root relative squared error
1.0881
SciMark benchmark
931.2336
UserCPU time millis
3790
UserCPU time millis testing
1250
UserCPU time millis training
2540