DEVELOPMENT... OpenML
Run
166039

Run 166039

Task 3687 (Supervised Classification) cal_housing 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
0.8843
Per class
F measure
0.8058
Per class
Kappa
0.595
KB relative information score
10270.1726
Mean absolute error
0.2509
Mean prior absolute error
0.4824
Number of instances
20640
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8065
Per class
Predictive accuracy
0.8076
Prior entropy
0.9745
Recall
0.8076
Per class
Relative absolute error
0.5201
Root mean prior squared error
0.4911
Root mean squared error
0.3663
Root relative squared error
0.7457
SciMark benchmark
894.7455
UserCPU time millis
2770
UserCPU time millis testing
680
UserCPU time millis training
2090