Run
10560088

Run 10560088

Task 167119 (Supervised Classification) jungle_chess_2pcs_raw_endgame_complete Uploaded 13-08-2021 by Sergey Redyuk
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Flow

sklearn.neural_network.multilayer_perceptron.MLPClassifier(18)Multi-layer Perceptron classifier. This model optimizes the log-loss function using LBFGS or stochastic gradient descent. .. versionadded:: 0.18
sklearn.neural_network.multilayer_perceptron.MLPClassifier(18)_activation"relu"
sklearn.neural_network.multilayer_perceptron.MLPClassifier(18)_alpha0.0001
sklearn.neural_network.multilayer_perceptron.MLPClassifier(18)_batch_size"auto"
sklearn.neural_network.multilayer_perceptron.MLPClassifier(18)_beta_10.9
sklearn.neural_network.multilayer_perceptron.MLPClassifier(18)_beta_20.999
sklearn.neural_network.multilayer_perceptron.MLPClassifier(18)_early_stoppingfalse
sklearn.neural_network.multilayer_perceptron.MLPClassifier(18)_epsilon1e-08
sklearn.neural_network.multilayer_perceptron.MLPClassifier(18)_hidden_layer_sizes[100]
sklearn.neural_network.multilayer_perceptron.MLPClassifier(18)_learning_rate"constant"
sklearn.neural_network.multilayer_perceptron.MLPClassifier(18)_learning_rate_init0.001
sklearn.neural_network.multilayer_perceptron.MLPClassifier(18)_max_iter200
sklearn.neural_network.multilayer_perceptron.MLPClassifier(18)_momentum0.9
sklearn.neural_network.multilayer_perceptron.MLPClassifier(18)_nesterovs_momentumtrue
sklearn.neural_network.multilayer_perceptron.MLPClassifier(18)_power_t0.5
sklearn.neural_network.multilayer_perceptron.MLPClassifier(18)_random_state37251
sklearn.neural_network.multilayer_perceptron.MLPClassifier(18)_shuffletrue
sklearn.neural_network.multilayer_perceptron.MLPClassifier(18)_solver"adam"
sklearn.neural_network.multilayer_perceptron.MLPClassifier(18)_tol0.0001
sklearn.neural_network.multilayer_perceptron.MLPClassifier(18)_validation_fraction0.1
sklearn.neural_network.multilayer_perceptron.MLPClassifier(18)_verbosefalse
sklearn.neural_network.multilayer_perceptron.MLPClassifier(18)_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.

18 Evaluation measures

Area under ROC curve
0.9551 ± 0.0047
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8292 ± 0.0115
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7035 ± 0.02
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.6592 ± 0.0172
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1471 ± 0.0067
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3832 ± 0
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.8329 ± 0.0105
Cross-validation details (10-fold Crossvalidation)
Number of instances
44819
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8287 ± 0.0107
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8329 ± 0.0105
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3491 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3839 ± 0.0174
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4377 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2697 ± 0.0074
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6162 ± 0.017
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.7412 ± 0.0271
Cross-validation details (10-fold Crossvalidation)