Run
519578

Run 519578

Task 9957 (Supervised Classification) qsar-biodeg 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.nnet(5)Learner classif.nnet from package(s) nnet.
classif.nnet(5)_size3
classif.nnet(5)_seed1
classif.nnet(5)_kindMersenne-Twister
classif.nnet(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
0.8199
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8412
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6438
Cross-validation details (10-fold Crossvalidation)
KB relative information score
663.601
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1583
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4472
Cross-validation details (10-fold Crossvalidation)
Number of instances
1055
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8408
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8417
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9226
Cross-validation details (10-fold Crossvalidation)
Recall
0.8417
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3539
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4728
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3979
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8414
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
1.432
UserCPU time millis testing
0.062
UserCPU time millis training
1.37