DEVELOPMENT... OpenML
Run
168134

Run 168134

Task 2276 (Supervised Classification) meta_stream_intervals.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
0.8581
Per class
F measure
0.5757
Per class
Kappa
0.4732
KB relative information score
23962.8272
Mean absolute error
0.0671
Mean prior absolute error
0.1072
Number of instances
45164
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7198
Per class
Predictive accuracy
0.571
Prior entropy
2.3329
Recall
0.571
Per class
Relative absolute error
0.6257
Root mean prior squared error
0.2315
Root mean squared error
0.251
Root relative squared error
1.0842
SciMark benchmark
945.7621
UserCPU time millis
42830
UserCPU time millis testing
10200
UserCPU time millis training
32630

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