Run
519768

Run 519768

Task 3484 (Supervised Classification) oil_spill Uploaded 05-02-2016 by Rafael Gomes Mantovani
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

classif.nodeHarvest(5)Learner classif.nodeHarvest from package(s) nodeHarvest.
classif.nodeHarvest(5)_seed1
classif.nodeHarvest(5)_kindMersenne-Twister
classif.nodeHarvest(5)_normal.kindInversion

Result files

Description

XML file describing the run, including user-defined evaluation measures.

Predictions

ARFF file with instance-level predictions generated by the model.

20 Evaluation measures

Area under ROC curve
0.6053
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9488
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2922
Cross-validation details (10-fold Crossvalidation)
KB relative information score
231.4151
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0427
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0846
Cross-validation details (10-fold Crossvalidation)
Number of instances
937
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9461
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9573
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.2636
Cross-validation details (10-fold Crossvalidation)
Recall
0.9573
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5048
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2046
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2066
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0101
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
81.165
UserCPU time millis testing
0.138
UserCPU time millis training
81.027