Run
8886135

Run 8886135

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 16-03-2018 by jiawen wang
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Flow

sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.RobustSc aler,pca=sklearn.decomposition.pca.PCA,classifier=sklearn.neural_network.mu ltilayer_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]
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_state23540
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_components0.9
sklearn.decomposition.pca.PCA(2)_random_state16685
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(preprocessing=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
0.8465 ± 0.0051
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4428 ± 0.0133
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3824 ± 0.0141
Cross-validation details (10-fold Crossvalidation)
KB relative information score
8957.1262 ± 21.1167
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1173 ± 0.0017
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
0.4418 ± 0.0135
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4442 ± 0.0127
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.4442 ± 0.0127
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6518 ± 0.0097
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2864 ± 0.0039
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9546 ± 0.0129
Cross-validation details (10-fold Crossvalidation)