Run
1663859

Run 1663859

Task 9956 (Supervised Classification) one-hundred-plants-texture Uploaded 19-07-2016 by Jan van Rijn
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Flow

weka.LMT(4)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(4)_I-1
weka.LMT(4)_M15
weka.LMT(4)_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.

17 Evaluation measures

Area under ROC curve
0.9738
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.794
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7941
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1343.0148
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0051
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0198
Cross-validation details (10-fold Crossvalidation)
Number of instances
1599
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7994
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7961
Cross-validation details (10-fold Crossvalidation)
Prior entropy
6.6438
Cross-validation details (10-fold Crossvalidation)
Recall
0.7961
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2583
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0995
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0565
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5677
Cross-validation details (10-fold Crossvalidation)