Run
22813

Run 22813

Task 10 (Supervised Classification) lymph Uploaded 22-06-2014 by Joaquin Vanschoren
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Flow

weka.LWL_RandomTree(1)Eibe Frank, Mark Hall, Bernhard Pfahringer: Locally Weighted Naive Bayes. In: 19th Conference in Uncertainty in Artificial Intelligence, 249-256, 2003. C. Atkeson, A. Moore, S. Schaal (1996). Locally weighted learning. AI Review..
weka.LWL_RandomTree(1)_Atrue
weka.LWL_RandomTree(1)_K-1
weka.LWL_RandomTree(1)_U0
weka.LWL_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.765
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7411
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5086
Cross-validation details (10-fold Crossvalidation)
KB relative information score
73.5904
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.13
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2677
Cross-validation details (10-fold Crossvalidation)
Number of instances
148
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
0.7417
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7432
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2818
Cross-validation details (10-fold Crossvalidation)
Recall
0.7432
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4857
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3639
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3505
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9632
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
923.4607[560.6687900287665994.3008483142872468.269442668285889.52832583882961704.5359987002564]