DEVELOPMENT... OpenML
Run
165775

Run 165775

Task 221 (Supervised Classification) Hyperplane_10_1E-4 Uploaded 17-02-2015 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
0.9395 ± 0.0006
Per class
F measure
0.9085 ± 0.0007
Per class
Kappa
0.8169 ± 0.0013
KB relative information score
0.5473 ± 0.001
Mean absolute error
0.1036 ± 0.0002
Mean prior absolute error
0.2 ± 0
Number of instances
1000000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9085 ± 0.0007
Per class
Predictive accuracy
0.9085 ± 0.0007
Prior entropy
1 ± 0
Recall
0.9085 ± 0.0007
Per class
Relative absolute error
0.518 ± 0.001
Root mean prior squared error
0.3162 ± 0
Root mean squared error
0.1896 ± 0.0005
Root relative squared error
0.5995 ± 0.0015
SciMark benchmark
945.6434
UserCPU time millis
208260
UserCPU time millis testing
52680
UserCPU time millis training
155580