Run
9964205

Run 9964205

Task 9983 (Supervised Classification) eeg-eye-state Uploaded 13-01-2019 by Scikit-learn Bot
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Flow

sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transfo rmer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.pr eprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.St andardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.imput e.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder )),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceT hreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.Grad ientBoostingClassifier)(3)Automatically created scikit-learn flow.
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(3)_memorynull
sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder))(3)_n_jobsnull
sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder))(3)_remainder"passthrough"
sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder))(3)_sparse_threshold0.3
sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder))(3)_transformer_weightsnull
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler)(3)_memorynull
sklearn.preprocessing.imputation.Imputer(34)_axis0
sklearn.preprocessing.imputation.Imputer(34)_copytrue
sklearn.preprocessing.imputation.Imputer(34)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(34)_strategy"most_frequent"
sklearn.preprocessing.imputation.Imputer(34)_verbose0
sklearn.preprocessing.data.StandardScaler(20)_copytrue
sklearn.preprocessing.data.StandardScaler(20)_with_meantrue
sklearn.preprocessing.data.StandardScaler(20)_with_stdtrue
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)(3)_memorynull
sklearn.impute.SimpleImputer(6)_copytrue
sklearn.impute.SimpleImputer(6)_fill_value-1
sklearn.impute.SimpleImputer(6)_missing_valuesNaN
sklearn.impute.SimpleImputer(6)_strategy"constant"
sklearn.impute.SimpleImputer(6)_verbose0
sklearn.preprocessing._encoders.OneHotEncoder(6)_categorical_featuresnull
sklearn.preprocessing._encoders.OneHotEncoder(6)_categoriesnull
sklearn.preprocessing._encoders.OneHotEncoder(6)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing._encoders.OneHotEncoder(6)_handle_unknown"ignore"
sklearn.preprocessing._encoders.OneHotEncoder(6)_n_valuesnull
sklearn.preprocessing._encoders.OneHotEncoder(6)_sparsetrue
sklearn.feature_selection.variance_threshold.VarianceThreshold(21)_threshold0.0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_criterion"friedman_mse"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_initnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_learning_rate0.0528545529863972
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_loss"deviance"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_max_depth9
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_max_features0.904683117119479
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_max_leaf_nodesnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_min_impurity_decrease0.6820163002609745
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_min_impurity_splitnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_min_samples_leaf4
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_min_samples_split6
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_min_weight_fraction_leaf0.2892258090963439
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_n_estimators491
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_n_iter_no_change645
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_presort"auto"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_random_state28056
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_subsample0.7680984431548009
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_tol0.00017164122829622255
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_validation_fraction0.05130015748859584
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_verbose0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_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

0.7706 ± 0.0139
Per class
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.740.750.760.770.780.79
0.7063 ± 0.011
Per class
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.690.70.710.720.730.68
0.4056 ± 0.022
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.380.40.420.440.360.46
3191.399 ± 15.6656
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore0290300310320330340350
0.403 ± 0.0044
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.3950.39750.40.40250.4050.40750.410.4125
0.4948 ± 0
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.4…0.49470.4…0.49480.4…0.4946750.4…0.4947250.4…0.494750.4…0.4947750.4…0.494825
14980
Per class
Cross-validation details (10-fold Crossvalidation)
0.7061 ± 0.011
Per class
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.690.70.710.720.730.68
0.7069 ± 0.0111
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.690.70.710.720.730.68
0.9924
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.9924
0.7069 ± 0.0111
Per class
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.690.70.710.720.730.68
0.8145 ± 0.0088
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.80.8050.810.8150.820.8250.83
0.4974 ± 0
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.4974
0.4414 ± 0.005
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.43250.4350.43750.440.44250.4450.44750.45
0.8874 ± 0.01
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.870.8750.880.8850.890.8950.90.…0.905
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