DEVELOPMENT... OpenML
Run
21071

Run 21071

Task 2065 (Supervised Classification) primary-tumor Uploaded 18-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_JRip(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.JRip(1)_F3
weka.JRip(1)_N2.0
weka.JRip(1)_O2
weka.JRip(1)_S1
weka.MultiBoostAB_JRip(1)_C3
weka.MultiBoostAB_JRip(1)_I10
weka.MultiBoostAB_JRip(1)_P100
weka.MultiBoostAB_JRip(1)_S1
weka.MultiBoostAB_JRip(1)_Wweka.classifiers.rules.JRip

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.6185
Per class
F measure
0.2743
Per class
Kappa
0.2249
KB relative information score
67.2716
Mean absolute error
0.07
Mean prior absolute error
0.0812
Number of instances
339
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2418
Per class
Predictive accuracy
0.3746
Prior entropy
3.7542
Recall
0.3746
Per class
Relative absolute error
0.8621
Root mean prior squared error
0.2011
Root mean squared error
0.1944
Root relative squared error
0.9668
SciMark benchmark
946.2036[568.52692162335691015.7906865781697483.8854846559526906.75889678256981756.0557934247322]