Run
506011

Run 506011

Task 3577 (Supervised Classification) visualizing_livestock Uploaded 15-01-2016 by Rafael Gomes Mantovani
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Flow

classif.xgboost(5)Learner classif.xgboost from package(s) xgboost.
classif.xgboost(5)_nrounds1
classif.xgboost(5)_seed1
classif.xgboost(5)_kindMersenne-Twister
classif.xgboost(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
0.6058
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3621
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2115
Cross-validation details (10-fold Crossvalidation)
KB relative information score
36.631
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2523
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.32
Cross-validation details (10-fold Crossvalidation)
Number of instances
130
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.3571
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3692
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.3692
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7885
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5023
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2558
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.137
UserCPU time millis testing
0.062
UserCPU time millis training
0.075