Run
8883069

Run 8883069

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 11-03-2018 by T van Diessen
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(Classifier=sklearn.neighbors.classification.KNeig hborsClassifier)(2)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_neighbors1
sklearn.neighbors.classification.KNeighborsClassifier(20)_p2
sklearn.neighbors.classification.KNeighborsClassifier(20)_weights"uniform"
sklearn.pipeline.Pipeline(Classifier=sklearn.neighbors.classification.KNeighborsClassifier)(2)_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
0.6157 ± 0.0042
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3026 ± 0.0074
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2314 ± 0.0084
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5532.6269 ± 15.7079
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1383 ± 0.0015
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
0.3729 ± 0.0122
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3086 ± 0.0075
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.3086 ± 0.0075
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7682 ± 0.0084
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3719 ± 0.002
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2395 ± 0.0067
Cross-validation details (10-fold Crossvalidation)