DEVELOPMENT... OpenML
Run
166234

Run 166234

Task 3881 (Supervised Classification) ipums_la_99-small 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)_I160
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
0.5889
Per class
Kappa
0.0864
KB relative information score
-46707.8108
Mean absolute error
0.5213
Mean prior absolute error
0.1203
Number of instances
8844
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9373
Per class
Predictive accuracy
0.4795
Prior entropy
0.3444
Recall
0.4795
Per class
Relative absolute error
4.3338
Root mean prior squared error
0.2452
Root mean squared error
0.7123
Root relative squared error
2.9056
SciMark benchmark
934.5243
UserCPU time millis
210
UserCPU time millis testing
90
UserCPU time millis training
120