Run
4715835

Run 4715835

Task 3549 (Supervised Classification) analcatdata_authorship Uploaded 07-07-2017 by Jan van Rijn
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  • openml-pimp openml-python Sklearn_0.18.1.
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Flow

sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.Conditiona lImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethres hold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classif ier=sklearn.linear_model.stochastic_gradient.SGDClassifier)(1)Automatically created scikit-learn flow.
openmlstudy14.preprocessing.ConditionalImputer(2)_axis0
openmlstudy14.preprocessing.ConditionalImputer(2)_categorical_features[]
openmlstudy14.preprocessing.ConditionalImputer(2)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(2)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(2)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy"median"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(2)_verbose0
sklearn.preprocessing.data.OneHotEncoder(7)_categorical_features[]
sklearn.preprocessing.data.OneHotEncoder(7)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(7)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(7)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(7)_sparsefalse
sklearn.feature_selection.variance_threshold.VarianceThreshold(4)_threshold0.0
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_alpha0.00025974802623016064
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_averagetrue
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_class_weightnull
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_epsilon0.0015409150192032307
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_eta00.03143935918135916
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_fit_intercepttrue
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_l1_ratio1.96657113591779e-09
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_learning_rate"optimal"
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_loss"modified_huber"
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_n_iter159
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_n_jobs1
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_penalty"elasticnet"
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_power_t0.5
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_random_state28672
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_shuffletrue
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_verbose0
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_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
0.997 ± 0.0062
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9822 ± 0.016
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.974 ± 0.0234
Cross-validation details (10-fold Crossvalidation)
KB relative information score
818.3774 ± 1.5693
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0098 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3439 ± 0.0013
Cross-validation details (10-fold Crossvalidation)
Number of instances
841
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9827 ± 0.0145
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9822 ± 0.016
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.7898
Cross-validation details (10-fold Crossvalidation)
Recall
0.9822 ± 0.016
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0285 ± 0.0208
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4146 ± 0.0015
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0761 ± 0.0358
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1837 ± 0.0861
Cross-validation details (10-fold Crossvalidation)