Run
2082683

Run 2082683

Task 145682 (Supervised Classification) spectrometer Uploaded 21-04-2017 by Freek Rooks
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_RandomTree(4)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.RandomTree(14)_K0
weka.RandomTree(14)_M1.0
weka.RandomTree(14)_V0.01
weka.RandomTree(14)_S1
weka.RandomTree(14)_depth7
weka.MultiBoostAB_RandomTree(4)_C3
weka.MultiBoostAB_RandomTree(4)_P100
weka.MultiBoostAB_RandomTree(4)_Qtrue
weka.MultiBoostAB_RandomTree(4)_S326293472
weka.MultiBoostAB_RandomTree(4)_I200
weka.MultiBoostAB_RandomTree(4)_Wweka.classifiers.trees.RandomTree

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
0.8311
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5322
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5381
Cross-validation details (10-fold Crossvalidation)
KB relative information score
270.5969
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0181
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
0.5319
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.565
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.565
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.456
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1318
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9375
Cross-validation details (10-fold Crossvalidation)