DEVELOPMENT... OpenML
Run
168737

Run 168737

Task 3706 (Supervised Classification) stock Uploaded 20-02-2015 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)_I10
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
0.9318
Per class
F measure
0.8458
Per class
Kappa
0.693
KB relative information score
596.5772
Mean absolute error
0.19
Mean prior absolute error
0.4996
Number of instances
950
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8577
Per class
Predictive accuracy
0.8474
Prior entropy
0.9995
Recall
0.8474
Per class
Relative absolute error
0.3803
Root mean prior squared error
0.4998
Root mean squared error
0.3359
Root relative squared error
0.6721
SciMark benchmark
931.2336
UserCPU time millis
120
UserCPU time millis testing
40
UserCPU time millis training
80