Run
8885393

Run 8885393

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 14-03-2018 by Robin Esposito
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Flow

sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.StandardScaler, Classifier=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_neighbors100
sklearn.neighbors.classification.KNeighborsClassifier(20)_p2
sklearn.neighbors.classification.KNeighborsClassifier(20)_weights"uniform"
sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.StandardScaler,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
0.7959 ± 0.0043
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2424 ± 0.0106
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2009 ± 0.0133
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5091.6767 ± 8.7078
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1587 ± 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
0.4298 ± 0.0195
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2814 ± 0.0119
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.2814 ± 0.0119
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8819 ± 0.0032
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2878 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9593 ± 0.0037
Cross-validation details (10-fold Crossvalidation)