Run
9204267

Run 9204267

Task 3573 (Supervised Classification) mnist_784 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
0.9854 ± 0.0004
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9737 ± 0.0008
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9708 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
KB relative information score
68068.4366 ± 5.6152
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0052 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1799 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
70000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9738 ± 0.0007
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9738 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3198
Cross-validation details (10-fold Crossvalidation)
Recall
0.9738 ± 0.0008
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0292 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0724 ± 0.001
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2415 ± 0.0035
Cross-validation details (10-fold Crossvalidation)