DEVELOPMENT... OpenML
Run
166707

Run 166707

Task 3522 (Supervised Classification) tr11.wc 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)_I80
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
0.8677
Per class
F measure
0.6934
Per class
Kappa
0.6258
KB relative information score
255.6872
Mean absolute error
0.0761
Mean prior absolute error
0.1808
Number of instances
414
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7252
Per class
Predictive accuracy
0.6884
Prior entropy
2.7236
Recall
0.6884
Per class
Relative absolute error
0.421
Root mean prior squared error
0.3004
Root mean squared error
0.2472
Root relative squared error
0.8231
SciMark benchmark
934.5243
UserCPU time millis
247570
UserCPU time millis testing
78080
UserCPU time millis training
169490