Run
2041783

Run 2041783

Task 145682 (Supervised Classification) spectrometer Uploaded 14-04-2017 by Laurens Castelijns
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.LMT(6)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(6)_I-1
weka.LMT(6)_M47
weka.LMT(6)_W0.0854675899014099

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
0.9032
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4471
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4522
Cross-validation details (10-fold Crossvalidation)
KB relative information score
262.3701
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0243
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0396
Cross-validation details (10-fold Crossvalidation)
Number of instances
531
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.43
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.484
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.484
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.612
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1223
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8701
Cross-validation details (10-fold Crossvalidation)