Run
8885570

Run 8885570

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,Cl assifier=sklearn.neural_network.multilayer_perceptron.MLPClassifier)(1)Automatically created scikit-learn flow.
sklearn.neural_network.multilayer_perceptron.MLPClassifier(10)_activation"relu"
sklearn.neural_network.multilayer_perceptron.MLPClassifier(10)_alpha1e-05
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[5, 2]
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_state1
sklearn.neural_network.multilayer_perceptron.MLPClassifier(10)_shuffletrue
sklearn.neural_network.multilayer_perceptron.MLPClassifier(10)_solver"lbfgs"
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.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,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
0.752 ± 0.0091
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2545 ± 0.0077
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1918 ± 0.0109
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5466.9663 ± 12.7203
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1573 ± 0.0008
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
0.2643 ± 0.0096
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.273 ± 0.0098
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.273 ± 0.0098
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8739 ± 0.0045
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2871 ± 0.0015
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9571 ± 0.005
Cross-validation details (10-fold Crossvalidation)