Run
10154688

Run 10154688

Task 3820 (Supervised Classification) braziltourism Uploaded 06-02-2019 by Hugo Spee
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  • auto-jupyter-notebook openml-python Sklearn_0.20.1.
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sk learn.neighbors.classification.KNeighborsClassifier)(1)Automatically created scikit-learn flow.
sklearn.neighbors.classification.KNeighborsClassifier(32)_algorithm"auto"
sklearn.neighbors.classification.KNeighborsClassifier(32)_leaf_size30
sklearn.neighbors.classification.KNeighborsClassifier(32)_metric"minkowski"
sklearn.neighbors.classification.KNeighborsClassifier(32)_metric_paramsnull
sklearn.neighbors.classification.KNeighborsClassifier(32)_n_jobsnull
sklearn.neighbors.classification.KNeighborsClassifier(32)_n_neighbors5
sklearn.neighbors.classification.KNeighborsClassifier(32)_p2
sklearn.neighbors.classification.KNeighborsClassifier(32)_weights"uniform"
sklearn.impute.SimpleImputer(5)_copytrue
sklearn.impute.SimpleImputer(5)_fill_valuenull
sklearn.impute.SimpleImputer(5)_missing_valuesNaN
sklearn.impute.SimpleImputer(5)_strategy"mean"
sklearn.impute.SimpleImputer(5)_verbose0
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.neighbors.classification.KNeighborsClassifier)(1)_memorynull

Result files

xml
Description

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

arff
Predictions

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

17 Evaluation measures

Area under ROC curve
0.6079 ± 0.0758
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6992 ± 0.0528
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0881 ± 0.1296
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3.969 ± 3.317
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.315 ± 0.0252
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3529 ± 0.0061
Cross-validation details (10-fold Crossvalidation)
Number of instances
412
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6833 ± 0.0582
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7306 ± 0.0567
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7771
Cross-validation details (10-fold Crossvalidation)
Recall
0.7306 ± 0.0567
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8927 ± 0.0628
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4196 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4405 ± 0.0229
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0498 ± 0.0444
Cross-validation details (10-fold Crossvalidation)