Run
8886577

Run 8886577

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 17-03-2018 by Mark Frenken
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Flow

sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,Classifier=skle arn.neighbors.classification.KNeighborsClassifier)(2)Automatically created scikit-learn flow.
sklearn.neighbors.classification.KNeighborsClassifier(21)_algorithm"auto"
sklearn.neighbors.classification.KNeighborsClassifier(21)_leaf_size30
sklearn.neighbors.classification.KNeighborsClassifier(21)_metric"minkowski"
sklearn.neighbors.classification.KNeighborsClassifier(21)_metric_paramsnull
sklearn.neighbors.classification.KNeighborsClassifier(21)_n_jobs1
sklearn.neighbors.classification.KNeighborsClassifier(21)_n_neighbors5
sklearn.neighbors.classification.KNeighborsClassifier(21)_p2
sklearn.neighbors.classification.KNeighborsClassifier(21)_weights"uniform"
sklearn.decomposition.pca.PCA(3)_copytrue
sklearn.decomposition.pca.PCA(3)_iterated_power"auto"
sklearn.decomposition.pca.PCA(3)_n_components100
sklearn.decomposition.pca.PCA(3)_random_state49095
sklearn.decomposition.pca.PCA(3)_svd_solver"auto"
sklearn.decomposition.pca.PCA(3)_tol0.0
sklearn.decomposition.pca.PCA(3)_whitenfalse
sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,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
0.7366 ± 0.008
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3375 ± 0.0094
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2708 ± 0.01
Cross-validation details (10-fold Crossvalidation)
KB relative information score
7370.5207 ± 16.7926
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1418 ± 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
0.4127 ± 0.0103
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3441 ± 0.009
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.3441 ± 0.009
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.788 ± 0.0068
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2917 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9724 ± 0.0075
Cross-validation details (10-fold Crossvalidation)