OpenML
7932162

Run 7932162

Task 3573 (Supervised Classification) mnist_784 Uploaded 19-09-2017 by mehdi cherti
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Flow

pipelineopt.estimator.Classifier(1)Automatically created scikit-learn flow.
pipelineopt.estimator.Classifier(1)_nb_iter10
pipelineopt.estimator.Classifier(1)_random_state42
pipelineopt.estimator.Classifier(1)_score{"oml-python:serialized_object": "function", "value": "sklearn.metrics.classification.accuracy_score"}
pipelineopt.estimator.Classifier(1)_valid_ratio0.1
pipelineopt.estimator.Classifier(1)_verbose0
pipelineopt.estimator.Classifier(1)_walker"grammaropt.RandomWalker"

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
0.9976 ± 0.0002
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9478 ± 0.0025
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9421 ± 0.0028
Cross-validation details (10-fold Crossvalidation)
KB relative information score
58402.4974 ± 13.2059
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0526 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1799 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
70000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9479 ± 0.0025
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9479 ± 0.0026
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3198
Cross-validation details (10-fold Crossvalidation)
Recall
0.9479 ± 0.0026
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2923 ± 0.0025
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1237 ± 0.001
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4125 ± 0.0033
Cross-validation details (10-fold Crossvalidation)