DEVELOPMENT... OpenML
Run
167904

Run 167904

Task 3943 (Supervised Classification) lymphoma_11classes 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
0.8215
Per class
F measure
0.6901
Per class
Kappa
0.6518
KB relative information score
59.1908
Mean absolute error
0.0511
Mean prior absolute error
0.1551
Number of instances
96
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.728
Per class
Predictive accuracy
0.7188
Prior entropy
3.0892
Recall
0.7188
Per class
Relative absolute error
0.3296
Root mean prior squared error
0.2776
Root mean squared error
0.2261
Root relative squared error
0.8147
SciMark benchmark
945.7621
UserCPU time millis
2220
UserCPU time millis testing
1060
UserCPU time millis training
1160