DEVELOPMENT... OpenML
Run
167764

Run 167764

Task 3795 (Supervised Classification) fri_c4_100_50 Uploaded 19-02-2015 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)_I40
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
0.5219
Per class
F measure
0.5105
Per class
Kappa
0.0081
KB relative information score
1.4314
Mean absolute error
0.482
Mean prior absolute error
0.4929
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5112
Per class
Predictive accuracy
0.51
Prior entropy
0.99
Recall
0.51
Per class
Relative absolute error
0.9777
Root mean prior squared error
0.4964
Root mean squared error
0.6781
Root relative squared error
1.3662
SciMark benchmark
876.8277
UserCPU time millis
270
UserCPU time millis testing
80
UserCPU time millis training
190