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10590469

Run 10590469

Task 9983 (Supervised Classification) eeg-eye-state Uploaded 11-10-2022 by VAIBHAV JAISWAL
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Flow

sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklea rn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardSc aler),model=sklearn.linear_model._stochastic_gradient.SGDClassifier)(1)Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement `fit` and `transform` methods. The final estimator only needs to implement `fit`. The transformers in the pipeline can be cached using ``memory`` argument. The purpose of the pipeline is to assemble several steps that can be cross-validated together while setting different parameters. For this, it enables setting parameters of the various steps using their names and the parameter name separated by a `'__'`, as in the example below. A step's estimator may be replaced entirely by setting the parameter with its name to another estimator, or a transformer removed by setting it to `'passthrough'` or `None`.
sklearn.preprocessing._data.StandardScaler(11)_copytrue
sklearn.preprocessing._data.StandardScaler(11)_with_meantrue
sklearn.preprocessing._data.StandardScaler(11)_with_stdtrue
sklearn.impute._base.SimpleImputer(30)_add_indicatorfalse
sklearn.impute._base.SimpleImputer(30)_copytrue
sklearn.impute._base.SimpleImputer(30)_fill_valuenull
sklearn.impute._base.SimpleImputer(30)_missing_valuesNaN
sklearn.impute._base.SimpleImputer(30)_strategy"mean"
sklearn.impute._base.SimpleImputer(30)_verbose0
sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler)(2)_memorynull
sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler)(2)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}]
sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler)(2)_verbosefalse
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.linear_model._stochastic_gradient.SGDClassifier)(1)_memorynull
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.linear_model._stochastic_gradient.SGDClassifier)(1)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "numerical", "step_name": "numerical"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "model", "step_name": "model"}}]
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.linear_model._stochastic_gradient.SGDClassifier)(1)_verbosefalse
sklearn.linear_model._stochastic_gradient.SGDClassifier(3)_alpha0.0001
sklearn.linear_model._stochastic_gradient.SGDClassifier(3)_averagefalse
sklearn.linear_model._stochastic_gradient.SGDClassifier(3)_class_weightnull
sklearn.linear_model._stochastic_gradient.SGDClassifier(3)_early_stoppingfalse
sklearn.linear_model._stochastic_gradient.SGDClassifier(3)_epsilon0.1
sklearn.linear_model._stochastic_gradient.SGDClassifier(3)_eta00.0
sklearn.linear_model._stochastic_gradient.SGDClassifier(3)_fit_intercepttrue
sklearn.linear_model._stochastic_gradient.SGDClassifier(3)_l1_ratio0.15
sklearn.linear_model._stochastic_gradient.SGDClassifier(3)_learning_rate"optimal"
sklearn.linear_model._stochastic_gradient.SGDClassifier(3)_loss"hinge"
sklearn.linear_model._stochastic_gradient.SGDClassifier(3)_max_iter1000
sklearn.linear_model._stochastic_gradient.SGDClassifier(3)_n_iter_no_change5
sklearn.linear_model._stochastic_gradient.SGDClassifier(3)_n_jobsnull
sklearn.linear_model._stochastic_gradient.SGDClassifier(3)_penalty"l2"
sklearn.linear_model._stochastic_gradient.SGDClassifier(3)_power_t0.5
sklearn.linear_model._stochastic_gradient.SGDClassifier(3)_random_state23349
sklearn.linear_model._stochastic_gradient.SGDClassifier(3)_shuffletrue
sklearn.linear_model._stochastic_gradient.SGDClassifier(3)_tol0.001
sklearn.linear_model._stochastic_gradient.SGDClassifier(3)_validation_fraction0.1
sklearn.linear_model._stochastic_gradient.SGDClassifier(3)_verbose0
sklearn.linear_model._stochastic_gradient.SGDClassifier(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.

18 Evaluation measures

0.5759 ± 0.02
Per class
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.540.560.580.60.620.64
0.5734 ± 0.0252
Per class
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.520.540.560.580.60.620.64
0.1585 ± 0.0383
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.10.1250.150.1750.20.2250.25
0.1907 ± 0.0271
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.140.160.180.20.220.24
0.3985 ± 0.0134
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.370.380.390.40.410.420.43
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
0.6015 ± 0.0134
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.570.580.590.60.610.620.63
14980
Per class
Cross-validation details (10-fold Crossvalidation)
0.6021 ± 0.0185
Per class
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.570.580.590.60.610.620.630.…0.64
0.6015 ± 0.0134
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.570.580.590.60.610.620.63
0.9924 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.992350.99240.992450.99250.992550.99260.99265
0.8055 ± 0.027
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.740.760.780.80.820.840.86
0.4974 ± 0
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.4974
0.6313 ± 0.0106
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.610.620.630.640.650.66
1.2693 ± 0.0213
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore01.221.241.261.281.31.32
0.5759 ± 0.02
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.540.560.580.60.620.64
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