Run
519549

Run 519549

Task 9957 (Supervised Classification) qsar-biodeg Uploaded 04-02-2016 by Rafael Gomes Mantovani
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Flow

classif.avNNet(6)Learner classif.avNNet from package(s) nnet.
classif.avNNet(6)_size3
classif.avNNet(6)_seed1
classif.avNNet(6)_kindMersenne-Twister
classif.avNNet(6)_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
0.8636
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8778
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7267
Cross-validation details (10-fold Crossvalidation)
KB relative information score
752.5841
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1223
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
0.8778
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8777
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9226
Cross-validation details (10-fold Crossvalidation)
Recall
0.8777
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2734
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4728
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3497
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7395
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
7.437
UserCPU time millis testing
0.402
UserCPU time millis training
7.035