DEVELOPMENT... OpenML
Run
166250

Run 166250

Task 3889 (Supervised Classification) sylva_agnostic Uploaded 18-02-2015 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)_I160
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
0.9977
Per class
F measure
0.9902
Per class
Kappa
0.9148
KB relative information score
12718.7985
Mean absolute error
0.01
Mean prior absolute error
0.1156
Number of instances
14395
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9902
Per class
Predictive accuracy
0.9903
Prior entropy
0.3338
Recall
0.9903
Per class
Relative absolute error
0.0868
Root mean prior squared error
0.2403
Root mean squared error
0.0901
Root relative squared error
0.375
SciMark benchmark
934.5243
UserCPU time millis
241900
UserCPU time millis testing
72840
UserCPU time millis training
169060