DEVELOPMENT... OpenML
Run
168712

Run 168712

Task 3681 (Supervised Classification) puma8NH Uploaded 20-02-2015 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.8571
Per class
F measure
0.826
Per class
Kappa
0.6521
KB relative information score
5326.505
Mean absolute error
0.1753
Mean prior absolute error
0.5
Number of instances
8192
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8261
Per class
Predictive accuracy
0.8261
Prior entropy
1
Recall
0.8261
Per class
Relative absolute error
0.3506
Root mean prior squared error
0.5
Root mean squared error
0.413
Root relative squared error
0.826
SciMark benchmark
931.2336
UserCPU time millis
920
UserCPU time millis testing
270
UserCPU time millis training
650