Run
8884799

Run 8884799

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 12-03-2018 by T van Diessen
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Flow

sklearn.pipeline.Pipeline(decomposition=sklearn.decomposition.pca.PCA,Class ifier=sklearn.neighbors.classification.KNeighborsClassifier)(1)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.decomposition.pca.PCA(2)_copytrue
sklearn.decomposition.pca.PCA(2)_iterated_power"auto"
sklearn.decomposition.pca.PCA(2)_n_componentsnull
sklearn.decomposition.pca.PCA(2)_random_state7235
sklearn.decomposition.pca.PCA(2)_svd_solver"auto"
sklearn.decomposition.pca.PCA(2)_tol0.0
sklearn.decomposition.pca.PCA(2)_whitenfalse
sklearn.pipeline.Pipeline(decomposition=sklearn.decomposition.pca.PCA,Classifier=sklearn.neighbors.classification.KNeighborsClassifier)(1)_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)
Total cost