DEVELOPMENT... OpenML
Run
167838

Run 167838

Task 3865 (Supervised Classification) ipums_la_98-small Uploaded 19-02-2015 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)_I40
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
0.7593
Per class
F measure
0.5356
Per class
Kappa
0.1141
KB relative information score
-21070.1862
Mean absolute error
0.5424
Mean prior absolute error
0.1891
Number of instances
7485
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9042
Per class
Predictive accuracy
0.4573
Prior entropy
0.4871
Recall
0.4573
Per class
Relative absolute error
2.8684
Root mean prior squared error
0.3074
Root mean squared error
0.7319
Root relative squared error
2.3807
SciMark benchmark
941.7954
UserCPU time millis
180
UserCPU time millis testing
70
UserCPU time millis training
110