Run
8885585

Run 8885585

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 14-03-2018 by Dominique Sommers
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Flow

sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler, svm=sklearn.neighbors.classification.KNeighborsClassifier)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.data.StandardScaler(5)_copytrue
sklearn.preprocessing.data.StandardScaler(5)_with_meantrue
sklearn.preprocessing.data.StandardScaler(5)_with_stdtrue
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_jobs1
sklearn.neighbors.classification.KNeighborsClassifier(20)_n_neighbors5
sklearn.neighbors.classification.KNeighborsClassifier(20)_p2
sklearn.neighbors.classification.KNeighborsClassifier(20)_weights"uniform"
sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,svm=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
0.7121 ± 0.0066
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2925 ± 0.0087
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2306 ± 0.0089
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6742.8605 ± 12.3843
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1463 ± 0.001
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
0.4047 ± 0.0125
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.308 ± 0.008
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.308 ± 0.008
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8131 ± 0.0055
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3001 ± 0.0018
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0002 ± 0.0059
Cross-validation details (10-fold Crossvalidation)