DEVELOPMENT... OpenML
Run
168772

Run 168772

Task 3741 (Supervised Classification) fri_c2_250_50 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
0.7016
Per class
F measure
0.6439
Per class
Kappa
0.2808
KB relative information score
69.7405
Mean absolute error
0.3557
Mean prior absolute error
0.4954
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6437
Per class
Predictive accuracy
0.644
Prior entropy
0.9934
Recall
0.644
Per class
Relative absolute error
0.7179
Root mean prior squared error
0.4977
Root mean squared error
0.5663
Root relative squared error
1.1379
SciMark benchmark
927.0753
UserCPU time millis
160
UserCPU time millis testing
50
UserCPU time millis training
110