DEVELOPMENT... OpenML
Run
168132

Run 168132

Task 2275 (Supervised Classification) meta_instanceincremental.arff 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)_I20
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
0.767
Per class
F measure
0.8131
Per class
Kappa
0.5521
KB relative information score
34.3528
Mean absolute error
0.1308
Mean prior absolute error
0.2277
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8368
Per class
Predictive accuracy
0.8108
Prior entropy
1.3146
Recall
0.8108
Per class
Relative absolute error
0.5746
Root mean prior squared error
0.3317
Root mean squared error
0.2871
Root relative squared error
0.8653
SciMark benchmark
945.7621
UserCPU time millis
30
UserCPU time millis testing
10
UserCPU time millis training
20