Run
8886153

Run 8886153

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 16-03-2018 by Sander Ackermans
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Flow

sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,Classifier=skle arn.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_neighbors5
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_components0.99
sklearn.decomposition.pca.PCA(2)_random_state23571
sklearn.decomposition.pca.PCA(2)_svd_solver"auto"
sklearn.decomposition.pca.PCA(2)_tol0.0
sklearn.decomposition.pca.PCA(2)_whitenfalse
sklearn.pipeline.Pipeline(pca=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
0.7148 ± 0.0074
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2948 ± 0.0078
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.233 ± 0.0099
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6813.2139 ± 14.7773
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1458 ± 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
0.4055 ± 0.0132
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3102 ± 0.0089
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.3102 ± 0.0089
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8098 ± 0.0066
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2994 ± 0.0022
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9981 ± 0.0072
Cross-validation details (10-fold Crossvalidation)