Run
8885028

Run 8885028

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 13-03-2018 by T van Diessen
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Flow

sklearn.pipeline.Pipeline(MinMaxScaler=sklearn.preprocessing.data.MinMaxSca ler,Classifier=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_neighbors1000
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,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
0.7802 ± 0.0047
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.1886 ± 0.0099
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1601 ± 0.0113
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3807.1278 ± 6.5017
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1673 ± 0.0003
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
0.4381 ± 0.0902
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2446 ± 0.0102
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.2446 ± 0.0102
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9293 ± 0.0018
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2911 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9704 ± 0.002
Cross-validation details (10-fold Crossvalidation)