Run
280139

Run 280139

Task 1915 (Supervised Classification) dermatology Uploaded 08-03-2015 by Jan van Rijn
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Flow

weka.LMT(3)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(3)_I-1
weka.LMT(3)_M15
weka.LMT(3)_W0.0

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
0.9972
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9756
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.9696
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
3481.5391
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0186
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.2664
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
3660
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9758
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9757
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
2.4378
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9757
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.0697
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3649
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.0848
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.2324
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1368.9272
UserCPU time millis
920
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
920
Cross-validation details (10 times 10-fold Crossvalidation)