Run
8886002

Run 8886002

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 15-03-2018 by Schoeman
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(MinMaxScaler=sklearn.preprocessing.data.MinMaxSca ler,knn=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_jobs1
sklearn.neighbors.classification.KNeighborsClassifier(20)_n_neighbors10
sklearn.neighbors.classification.KNeighborsClassifier(20)_p2
sklearn.neighbors.classification.KNeighborsClassifier(20)_weights"uniform"
sklearn.preprocessing.data.MinMaxScaler(3)_copytrue
sklearn.preprocessing.data.MinMaxScaler(3)_feature_range[0, 1]
sklearn.pipeline.Pipeline(MinMaxScaler=sklearn.preprocessing.data.MinMaxScaler,knn=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
0.7458 ± 0.0064
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2914 ± 0.0086
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2342 ± 0.0099
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6153.3825 ± 10.5164
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1495 ± 0.0008
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
0.4253 ± 0.0145
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3112 ± 0.0089
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.3112 ± 0.0089
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8304 ± 0.0043
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2916 ± 0.0017
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9719 ± 0.0055
Cross-validation details (10-fold Crossvalidation)