Run
10154345

Run 10154345

Task 146825 (Supervised Classification) Fashion-MNIST Uploaded 01-02-2019 by Piet Hein
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Flow

sklearn.neural_network.multilayer_perceptron.MLPClassifier(16)Automatically created scikit-learn flow.
sklearn.neural_network.multilayer_perceptron.MLPClassifier(16)_activation"relu"
sklearn.neural_network.multilayer_perceptron.MLPClassifier(16)_alpha0.0001
sklearn.neural_network.multilayer_perceptron.MLPClassifier(16)_batch_size"auto"
sklearn.neural_network.multilayer_perceptron.MLPClassifier(16)_beta_10.9
sklearn.neural_network.multilayer_perceptron.MLPClassifier(16)_beta_20.999
sklearn.neural_network.multilayer_perceptron.MLPClassifier(16)_early_stoppingfalse
sklearn.neural_network.multilayer_perceptron.MLPClassifier(16)_epsilon1e-08
sklearn.neural_network.multilayer_perceptron.MLPClassifier(16)_hidden_layer_sizes[13, 13, 13]
sklearn.neural_network.multilayer_perceptron.MLPClassifier(16)_learning_rate"constant"
sklearn.neural_network.multilayer_perceptron.MLPClassifier(16)_learning_rate_init0.001
sklearn.neural_network.multilayer_perceptron.MLPClassifier(16)_max_iter1000
sklearn.neural_network.multilayer_perceptron.MLPClassifier(16)_momentum0.9
sklearn.neural_network.multilayer_perceptron.MLPClassifier(16)_n_iter_no_change10
sklearn.neural_network.multilayer_perceptron.MLPClassifier(16)_nesterovs_momentumtrue
sklearn.neural_network.multilayer_perceptron.MLPClassifier(16)_power_t0.5
sklearn.neural_network.multilayer_perceptron.MLPClassifier(16)_random_state20277
sklearn.neural_network.multilayer_perceptron.MLPClassifier(16)_shuffletrue
sklearn.neural_network.multilayer_perceptron.MLPClassifier(16)_solver"adam"
sklearn.neural_network.multilayer_perceptron.MLPClassifier(16)_tol0.0001
sklearn.neural_network.multilayer_perceptron.MLPClassifier(16)_validation_fraction0.1
sklearn.neural_network.multilayer_perceptron.MLPClassifier(16)_verbosefalse
sklearn.neural_network.multilayer_perceptron.MLPClassifier(16)_warm_startfalse

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
0.9774 ± 0.0045
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8178 ± 0.0194
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7994 ± 0.0199
Cross-validation details (10-fold Crossvalidation)
KB relative information score
56707.2274 ± 134.8131
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0486 ± 0.0049
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
70000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8181 ± 0.0205
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8194 ± 0.0179
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.8194 ± 0.0179
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2699 ± 0.0273
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1599 ± 0.0066
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5329 ± 0.022
Cross-validation details (10-fold Crossvalidation)