Run
8885689

Run 8885689

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 15-03-2018 by Tim Scholtens
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Flow

sklearn.neighbors.classification.KNeighborsClassifier(20)Automatically created scikit-learn flow.
sklearn.neighbors.classification.KNeighborsClassifier(20)_algorithm"auto"
sklearn.neighbors.classification.KNeighborsClassifier(20)_leaf_size30
sklearn.neighbors.classification.KNeighborsClassifier(20)_metric"minkowski"
sklearn.neighbors.classification.KNeighborsClassifier(20)_metric_paramsnull
sklearn.neighbors.classification.KNeighborsClassifier(20)_n_jobs-1
sklearn.neighbors.classification.KNeighborsClassifier(20)_n_neighbors5
sklearn.neighbors.classification.KNeighborsClassifier(20)_p2
sklearn.neighbors.classification.KNeighborsClassifier(20)_weights"uniform"

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
0.712 ± 0.0073
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2918 ± 0.0073
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2305 ± 0.0096
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6750.8883 ± 14.4181
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1462 ± 0.0012
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.4063 ± 0.0117
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3079 ± 0.0086
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.3079 ± 0.0086
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8123 ± 0.0064
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3001 ± 0.0021
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0005 ± 0.0071
Cross-validation details (10-fold Crossvalidation)