Run
8886140

Run 8886140

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 16-03-2018 by Mathyn Scheerder
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Flow

sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler, top_feat=sklearn.feature_selection.univariate_selection.SelectKBest,clf=skl earn.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_neighbors50
sklearn.neighbors.classification.KNeighborsClassifier(20)_p2
sklearn.neighbors.classification.KNeighborsClassifier(20)_weights"distance"
sklearn.feature_selection.univariate_selection.SelectKBest(2)_k"all"
sklearn.feature_selection.univariate_selection.SelectKBest(2)_score_func{"oml-python:serialized_object": "function", "value": "sklearn.feature_selection.univariate_selection.f_classif"}
sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,top_feat=sklearn.feature_selection.univariate_selection.SelectKBest,clf=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
0.7919 ± 0.0039
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2634 ± 0.0078
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2159 ± 0.0103
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5465.2092 ± 7.1471
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1559 ± 0.0006
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
0.4402 ± 0.0196
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2949 ± 0.0093
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.2949 ± 0.0093
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8664 ± 0.0033
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.287 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9568 ± 0.0037
Cross-validation details (10-fold Crossvalidation)