Run
519560

Run 519560

Task 9957 (Supervised Classification) qsar-biodeg Uploaded 05-02-2016 by Rafael Gomes Mantovani
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Flow

classif.glmboost(3)Learner classif.glmboost from package(s) mboost.
classif.glmboost(3)_familyBinomial
classif.glmboost(3)_mmstop
classif.glmboost(3)_seed1
classif.glmboost(3)_kindMersenne-Twister
classif.glmboost(3)_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
0.782
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.815
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5809
Cross-validation details (10-fold Crossvalidation)
KB relative information score
605.0595
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.182
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
0.8148
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.818
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9226
Cross-validation details (10-fold Crossvalidation)
Recall
0.818
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4069
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4728
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4266
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9022
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
1.883
UserCPU time millis testing
0.088
UserCPU time millis training
1.795