Run
4717278

Run 4717278

Task 3567 (Supervised Classification) collins 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[19, 20]
openmlstudy14.preprocessing.ConditionalImputer(2)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(2)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(2)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(2)_verbose0
sklearn.preprocessing.data.OneHotEncoder(7)_categorical_features[19, 20]
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)_alpha0.003641916694575599
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_averagefalse
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_class_weightnull
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_epsilon0.1
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_eta00.03684443934841589
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_fit_intercepttrue
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_l1_ratio0.0004976838278995623
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_learning_rate"optimal"
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_loss"log"
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_n_iter626
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_state27565
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
1 ± 0.0001
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9919 ± 0.0087
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9912 ± 0.0114
Cross-validation details (10-fold Crossvalidation)
KB relative information score
443.1442 ± 0.5044
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0307 ± 0.0018
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1212 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9926 ± 0.0055
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.992 ± 0.0103
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.6642
Cross-validation details (10-fold Crossvalidation)
Recall
0.992 ± 0.0103
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.253 ± 0.0146
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.246 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0735 ± 0.0045
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2987 ± 0.0184
Cross-validation details (10-fold Crossvalidation)