Run
10560150

Run 10560150

Task 3913 (Supervised Classification) kc2 Uploaded 13-08-2021 by Sergey Redyuk
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Flow

sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.Standar dScaler,mlpclassifier=sklearn.neural_network.multilayer_perceptron.MLPClass ifier)(2)Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit and transform methods. The final estimator only needs to implement fit. The purpose of the pipeline is to assemble several steps that can be cross-validated together while setting different parameters. For this, it enables setting parameters of the various steps using their names and the parameter name separated by a '__', as in the example below. A step's estimator may be replaced entirely by setting the parameter with its name to another estimator, or a transformer removed by setting to None.
sklearn.preprocessing.data.StandardScaler(43)_copytrue
sklearn.preprocessing.data.StandardScaler(43)_with_meantrue
sklearn.preprocessing.data.StandardScaler(43)_with_stdtrue
sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,mlpclassifier=sklearn.neural_network.multilayer_perceptron.MLPClassifier)(2)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "mlpclassifier", "step_name": "mlpclassifier"}}]
sklearn.neural_network.multilayer_perceptron.MLPClassifier(19)_activation"relu"
sklearn.neural_network.multilayer_perceptron.MLPClassifier(19)_alpha0.0001
sklearn.neural_network.multilayer_perceptron.MLPClassifier(19)_batch_size"auto"
sklearn.neural_network.multilayer_perceptron.MLPClassifier(19)_beta_10.9
sklearn.neural_network.multilayer_perceptron.MLPClassifier(19)_beta_20.999
sklearn.neural_network.multilayer_perceptron.MLPClassifier(19)_early_stoppingfalse
sklearn.neural_network.multilayer_perceptron.MLPClassifier(19)_epsilon1e-08
sklearn.neural_network.multilayer_perceptron.MLPClassifier(19)_hidden_layer_sizes[100, 100, 100]
sklearn.neural_network.multilayer_perceptron.MLPClassifier(19)_learning_rate"invscaling"
sklearn.neural_network.multilayer_perceptron.MLPClassifier(19)_learning_rate_init0.003
sklearn.neural_network.multilayer_perceptron.MLPClassifier(19)_max_iter500
sklearn.neural_network.multilayer_perceptron.MLPClassifier(19)_momentum0.9
sklearn.neural_network.multilayer_perceptron.MLPClassifier(19)_nesterovs_momentumtrue
sklearn.neural_network.multilayer_perceptron.MLPClassifier(19)_power_t0.5
sklearn.neural_network.multilayer_perceptron.MLPClassifier(19)_random_state3
sklearn.neural_network.multilayer_perceptron.MLPClassifier(19)_shuffletrue
sklearn.neural_network.multilayer_perceptron.MLPClassifier(19)_solver"adam"
sklearn.neural_network.multilayer_perceptron.MLPClassifier(19)_tol0.0001
sklearn.neural_network.multilayer_perceptron.MLPClassifier(19)_validation_fraction0.1
sklearn.neural_network.multilayer_perceptron.MLPClassifier(19)_verbosefalse
sklearn.neural_network.multilayer_perceptron.MLPClassifier(19)_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

0.7587 ± 0.0947
Per class
Cross-validation details (10-fold Crossvalidation)
0.8387 ± 0.0438
Per class
Cross-validation details (10-fold Crossvalidation)
0.4934 ± 0.1217
Cross-validation details (10-fold Crossvalidation)
0.3351 ± 0.1531
Cross-validation details (10-fold Crossvalidation)
0.1988 ± 0.04
Cross-validation details (10-fold Crossvalidation)
0.3266 ± 0.0052
Cross-validation details (10-fold Crossvalidation)
0.8429 ± 0.0474
Cross-validation details (10-fold Crossvalidation)
522
Per class
Cross-validation details (10-fold Crossvalidation)
0.8361 ± 0.0427
Per class
Cross-validation details (10-fold Crossvalidation)
0.8429 ± 0.0474
Cross-validation details (10-fold Crossvalidation)
0.7318 ± 0.0173
Cross-validation details (10-fold Crossvalidation)
0.6088 ± 0.1183
Cross-validation details (10-fold Crossvalidation)
0.4037 ± 0.0065
Cross-validation details (10-fold Crossvalidation)
0.3645 ± 0.0549
Cross-validation details (10-fold Crossvalidation)
0.9029 ± 0.1312
Cross-validation details (10-fold Crossvalidation)
0.7347 ± 0.0676
Cross-validation details (10-fold Crossvalidation)