Run
8872468

Run 8872468

Task 167132 (Supervised Classification) Speech Uploaded 07-03-2018 by Leroy Visser
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Flow

sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer, scaler=sklearn.preprocessing.data.MinMaxScaler,estimator=sklearn.linear_mod el.stochastic_gradient.SGDClassifier)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.imputation.Imputer(15)_axis0
sklearn.preprocessing.imputation.Imputer(15)_copytrue
sklearn.preprocessing.imputation.Imputer(15)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(15)_strategy"median"
sklearn.preprocessing.imputation.Imputer(15)_verbose0
sklearn.preprocessing.data.MinMaxScaler(3)_copytrue
sklearn.preprocessing.data.MinMaxScaler(3)_feature_range[0, 1]
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_alpha0.0001
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_averagefalse
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_class_weightnull
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_epsilon0.1
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_eta00.0
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_fit_intercepttrue
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_l1_ratio0.15
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_learning_rate"optimal"
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_loss"hinge"
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_max_iternull
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_n_iternull
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_n_jobs1
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_penalty"l2"
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_power_t0.5
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_random_state10886
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_shuffletrue
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_tolnull
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_verbose0
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_warm_startfalse
sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,scaler=sklearn.preprocessing.data.MinMaxScaler,estimator=sklearn.linear_model.stochastic_gradient.SGDClassifier)(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
0.5246 ± 0.0385
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9772 ± 0.0023
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0923 ± 0.131
Cross-validation details (10-fold Crossvalidation)
KB relative information score
852.1192 ± 23.1635
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0157 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0328 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Number of instances
3686
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9845 ± 0.0015
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9843 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9843 ± 0.0011
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4797 ± 0.0352
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1276 ± 0.0031
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1254 ± 0.0047
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9833 ± 0.0403
Cross-validation details (10-fold Crossvalidation)