Run
23953

Run 23953

Task 2065 (Supervised Classification) primary-tumor Uploaded 29-06-2014 by Joaquin Vanschoren
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Flow

weka.LMT(1)Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees. Machine Learning. 95(1-2):161-205. Marc Sumner, Eibe Frank, Mark Hall: Speeding up Logistic Model Tree Induction. In: 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, 675-683, 2005.
weka.LMT(1)_I-1
weka.LMT(1)_M5
weka.LMT(1)_W0.0

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
0.8217
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4336
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3956
Cross-validation details (10-fold Crossvalidation)
KB relative information score
126.4268
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0595
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0812
Cross-validation details (10-fold Crossvalidation)
Number of instances
339
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4123
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.472
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.7542
Cross-validation details (10-fold Crossvalidation)
Recall
0.472
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7323
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2011
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1775
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8825
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
939.6451[548.67590261681161010.7290985125734482.5806157404377913.07556704216551743.1642237068993]