Run
8659717

Run 8659717

Task 59 (Supervised Classification) iris Uploaded 18-12-2017 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.neural_network.multilayer_perceptron.MLPClassifier(11)Automatically created scikit-learn flow.
sklearn.neural_network.multilayer_perceptron.MLPClassifier(11)_activation"relu"
sklearn.neural_network.multilayer_perceptron.MLPClassifier(11)_alpha0.0001
sklearn.neural_network.multilayer_perceptron.MLPClassifier(11)_batch_size"auto"
sklearn.neural_network.multilayer_perceptron.MLPClassifier(11)_beta_10.9
sklearn.neural_network.multilayer_perceptron.MLPClassifier(11)_beta_20.999
sklearn.neural_network.multilayer_perceptron.MLPClassifier(11)_early_stoppingfalse
sklearn.neural_network.multilayer_perceptron.MLPClassifier(11)_epsilon1e-08
sklearn.neural_network.multilayer_perceptron.MLPClassifier(11)_hidden_layer_sizes[10, 10]
sklearn.neural_network.multilayer_perceptron.MLPClassifier(11)_learning_rate"constant"
sklearn.neural_network.multilayer_perceptron.MLPClassifier(11)_learning_rate_init0.001
sklearn.neural_network.multilayer_perceptron.MLPClassifier(11)_max_iter2000
sklearn.neural_network.multilayer_perceptron.MLPClassifier(11)_momentum0.9
sklearn.neural_network.multilayer_perceptron.MLPClassifier(11)_nesterovs_momentumtrue
sklearn.neural_network.multilayer_perceptron.MLPClassifier(11)_power_t0.5
sklearn.neural_network.multilayer_perceptron.MLPClassifier(11)_random_state27278
sklearn.neural_network.multilayer_perceptron.MLPClassifier(11)_shuffletrue
sklearn.neural_network.multilayer_perceptron.MLPClassifier(11)_solver"adam"
sklearn.neural_network.multilayer_perceptron.MLPClassifier(11)_tol0.0001
sklearn.neural_network.multilayer_perceptron.MLPClassifier(11)_validation_fraction0.1
sklearn.neural_network.multilayer_perceptron.MLPClassifier(11)_verbosefalse
sklearn.neural_network.multilayer_perceptron.MLPClassifier(11)_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
0.9979 ± 0.0042
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9666 ± 0.0486
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.95 ± 0.0707
Cross-validation details (10-fold Crossvalidation)
KB relative information score
138.6113 ± 0.7172
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0448 ± 0.0237
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9678 ± 0.0357
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9667 ± 0.0471
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9667 ± 0.0471
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1009 ± 0.0532
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1227 ± 0.0603
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2603 ± 0.1279
Cross-validation details (10-fold Crossvalidation)