DEVELOPMENT... OpenML
Run
168001

Run 168001

Task 34 (Supervised Classification) postoperative-patient-data 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)_I20
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
0.4664
Per class
F measure
0.6037
Per class
Kappa
0.0122
KB relative information score
-21.7852
Mean absolute error
0.3429
Mean prior absolute error
0.2871
Number of instances
90
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5957
Per class
Predictive accuracy
0.7
Prior entropy
1.0305
Recall
0.7
Per class
Relative absolute error
1.1944
Root mean prior squared error
0.3755
Root mean squared error
0.4035
Root relative squared error
1.0747
SciMark benchmark
942.6953
UserCPU time millis
10
UserCPU time millis training
10