Run
9204280

Run 9204280

Task 146825 (Supervised Classification) Fashion-MNIST Uploaded 21-07-2018 by Irfan Nur Afif
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Flow

sklearn.neighbors.classification.KNeighborsClassifier(25)Automatically created scikit-learn flow.
sklearn.neighbors.classification.KNeighborsClassifier(25)_algorithm"auto"
sklearn.neighbors.classification.KNeighborsClassifier(25)_leaf_size30
sklearn.neighbors.classification.KNeighborsClassifier(25)_metric"minkowski"
sklearn.neighbors.classification.KNeighborsClassifier(25)_metric_paramsnull
sklearn.neighbors.classification.KNeighborsClassifier(25)_n_jobs1
sklearn.neighbors.classification.KNeighborsClassifier(25)_n_neighbors1
sklearn.neighbors.classification.KNeighborsClassifier(25)_p2
sklearn.neighbors.classification.KNeighborsClassifier(25)_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
0.919 ± 0.003
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8545 ± 0.0054
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8379 ± 0.0059
Cross-validation details (10-fold Crossvalidation)
KB relative information score
59321.7703 ± 38.9838
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0292 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
70000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8565 ± 0.0052
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8541 ± 0.0053
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.8541 ± 0.0053
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1621 ± 0.0059
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1708 ± 0.0031
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5693 ± 0.0105
Cross-validation details (10-fold Crossvalidation)