Run
2083895

Run 2083895

Task 53 (Supervised Classification) vehicle Uploaded 24-04-2017 by Jeroen van Hoof
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • Mon_Apr_24_09.18.30_2017 NumPy_1.12.1. Python_3.5.3. run_task SciPy_0.19.0. sklearn.pipeline.Pipeline Sklearn_0.18.1.
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.Standar dScaler,mlpclassifier=sklearn.neural_network.multilayer_perceptron.MLPClass ifier)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.data.StandardScaler(1)_copyTrue
sklearn.preprocessing.data.StandardScaler(1)_with_meanTrue
sklearn.preprocessing.data.StandardScaler(1)_with_stdTrue
sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,mlpclassifier=sklearn.neural_network.multilayer_perceptron.MLPClassifier)(1)_steps[('standardscaler', StandardScaler(copy=True, with_mean=True, with_std=True)), ('mlpclassifier', MLPClassifier(activation='relu', alpha=0.001, batch_size='auto', beta_1=0.9, beta_2=0.999, early_stopping=False, epsilon=1e-08, hidden_layer_sizes=(100, 100), learning_rate='constant', learning_rate_init=0.001, max_iter=500, momentum=0.9, nesterovs_momentum=True, power_t=0.5, random_state=3, shuffle=True, solver='adam', tol=0.0001, validation_fraction=0.1, verbose=False, warm_start=False))]
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_activationrelu
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_alpha0.001
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_batch_sizeauto
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_beta_10.9
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_beta_20.999
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_early_stoppingFalse
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_epsilon1e-08
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_hidden_layer_sizes(100, 100)
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_learning_rateconstant
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_learning_rate_init0.001
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_max_iter500
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_momentum0.9
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_nesterovs_momentumTrue
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_power_t0.5
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_random_state3
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_shuffleTrue
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_solveradam
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_tol0.0001
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_validation_fraction0.1
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_verboseFalse
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_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
0.9636
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8526
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8045
Cross-validation details (10-fold Crossvalidation)
KB relative information score
677.9074
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0907
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3748
Cross-validation details (10-fold Crossvalidation)
Number of instances
846
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.852
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8534
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9991
Cross-validation details (10-fold Crossvalidation)
Recall
0.8534
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2421
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4329
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2353
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5435
Cross-validation details (10-fold Crossvalidation)