Run
8885577

Run 8885577

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 14-03-2018 by Dominique Sommers
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Flow

sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.RobustScaler,PC A=sklearn.decomposition.pca.PCA,Classifier=sklearn.neural_network.multilaye r_perceptron.MLPClassifier)(1)Automatically created scikit-learn flow.
sklearn.neural_network.multilayer_perceptron.MLPClassifier(10)_activation"relu"
sklearn.neural_network.multilayer_perceptron.MLPClassifier(10)_alpha0.0001
sklearn.neural_network.multilayer_perceptron.MLPClassifier(10)_batch_size"auto"
sklearn.neural_network.multilayer_perceptron.MLPClassifier(10)_beta_10.9
sklearn.neural_network.multilayer_perceptron.MLPClassifier(10)_beta_20.999
sklearn.neural_network.multilayer_perceptron.MLPClassifier(10)_early_stoppingfalse
sklearn.neural_network.multilayer_perceptron.MLPClassifier(10)_epsilon1e-08
sklearn.neural_network.multilayer_perceptron.MLPClassifier(10)_hidden_layer_sizes[100, 3]
sklearn.neural_network.multilayer_perceptron.MLPClassifier(10)_learning_rate"constant"
sklearn.neural_network.multilayer_perceptron.MLPClassifier(10)_learning_rate_init0.001
sklearn.neural_network.multilayer_perceptron.MLPClassifier(10)_max_iter200
sklearn.neural_network.multilayer_perceptron.MLPClassifier(10)_momentum0.9
sklearn.neural_network.multilayer_perceptron.MLPClassifier(10)_nesterovs_momentumtrue
sklearn.neural_network.multilayer_perceptron.MLPClassifier(10)_power_t0.5
sklearn.neural_network.multilayer_perceptron.MLPClassifier(10)_random_state47152
sklearn.neural_network.multilayer_perceptron.MLPClassifier(10)_shuffletrue
sklearn.neural_network.multilayer_perceptron.MLPClassifier(10)_solver"adam"
sklearn.neural_network.multilayer_perceptron.MLPClassifier(10)_tol0.0001
sklearn.neural_network.multilayer_perceptron.MLPClassifier(10)_validation_fraction0.1
sklearn.neural_network.multilayer_perceptron.MLPClassifier(10)_verbosefalse
sklearn.neural_network.multilayer_perceptron.MLPClassifier(10)_warm_startfalse
sklearn.decomposition.pca.PCA(2)_copytrue
sklearn.decomposition.pca.PCA(2)_iterated_power"auto"
sklearn.decomposition.pca.PCA(2)_n_componentsnull
sklearn.decomposition.pca.PCA(2)_random_state19365
sklearn.decomposition.pca.PCA(2)_svd_solver"auto"
sklearn.decomposition.pca.PCA(2)_tol0.0
sklearn.decomposition.pca.PCA(2)_whitenfalse
sklearn.preprocessing.data.RobustScaler(2)_copytrue
sklearn.preprocessing.data.RobustScaler(2)_quantile_range[25.0, 75.0]
sklearn.preprocessing.data.RobustScaler(2)_with_centeringtrue
sklearn.preprocessing.data.RobustScaler(2)_with_scalingtrue
sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.RobustScaler,PCA=sklearn.decomposition.pca.PCA,Classifier=sklearn.neural_network.multilayer_perceptron.MLPClassifier)(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
0.737 ± 0.0064
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3256 ± 0.0099
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2479 ± 0.0117
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6346.1387 ± 19.7596
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1379 ± 0.002
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
0.3341 ± 0.0099
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3231 ± 0.0105
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.3231 ± 0.0105
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.766 ± 0.0109
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3324 ± 0.0024
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1081 ± 0.008
Cross-validation details (10-fold Crossvalidation)