Run
10546310

Run 10546310

Task 3902 (Supervised Classification) pc4 Uploaded 07-08-2020 by Heinrich Peters
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Add a single new tag. Use underscores for spaces. Press enter when done.
Add tag
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer, standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression =sklearn.linear_model.logistic.LogisticRegression)(2)Automatically created scikit-learn flow.
sklearn.impute._base.SimpleImputer(1)_add_indicatorfalse
sklearn.impute._base.SimpleImputer(1)_copytrue
sklearn.impute._base.SimpleImputer(1)_fill_valuenull
sklearn.impute._base.SimpleImputer(1)_missing_valuesNaN
sklearn.impute._base.SimpleImputer(1)_strategy"median"
sklearn.impute._base.SimpleImputer(1)_verbose0
sklearn.linear_model.logistic.LogisticRegression(26)_C1.0
sklearn.linear_model.logistic.LogisticRegression(26)_class_weightnull
sklearn.linear_model.logistic.LogisticRegression(26)_dualfalse
sklearn.linear_model.logistic.LogisticRegression(26)_fit_intercepttrue
sklearn.linear_model.logistic.LogisticRegression(26)_intercept_scaling1
sklearn.linear_model.logistic.LogisticRegression(26)_l1_rationull
sklearn.linear_model.logistic.LogisticRegression(26)_max_iter100
sklearn.linear_model.logistic.LogisticRegression(26)_multi_class"warn"
sklearn.linear_model.logistic.LogisticRegression(26)_n_jobsnull
sklearn.linear_model.logistic.LogisticRegression(26)_penalty"l2"
sklearn.linear_model.logistic.LogisticRegression(26)_random_state1
sklearn.linear_model.logistic.LogisticRegression(26)_solver"liblinear"
sklearn.linear_model.logistic.LogisticRegression(26)_tol0.0001
sklearn.linear_model.logistic.LogisticRegression(26)_verbose0
sklearn.linear_model.logistic.LogisticRegression(26)_warm_startfalse
sklearn.preprocessing.data.StandardScaler(29)_copytrue
sklearn.preprocessing.data.StandardScaler(29)_with_meantrue
sklearn.preprocessing.data.StandardScaler(29)_with_stdtrue
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2)_memorynull
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "logisticregression", "step_name": "logisticregression"}}]
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2)_verbosefalse

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

0.9093 ± 0.037
Per class
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.80.8250.850.8750.90.9250.950.…0.975
0.8956 ± 0.0133
Per class
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.860.870.880.890.90.910.92
0.466 ± 0.0709
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.30.350.40.450.50.550.6
0.2124 ± 0.0897
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore000.10.20.30.4-0.1
0.1349 ± 0.011
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.110.120.130.140.150.160.17
0.2148 ± 0.0019
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.210.2110.2120.2130.2140.2150.…0.216
0.9074 ± 0.0102
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.890.90.910.920.930.88
1458
Per class
Cross-validation details (10-fold Crossvalidation)
0.8963 ± 0.0145
Per class
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.860.870.880.890.90.910.920.…0.93
0.9074 ± 0.0102
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.890.90.910.920.930.88
0.5353 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.520.5250.530.5350.54
0.6281 ± 0.0493
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.550.60.650.70.750.8
0.3274 ± 0.003
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.320.3220.3240.3260.3280.33
0.259 ± 0.0167
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.230.240.250.260.270.280.290.3
0.791 ± 0.0509
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.70.750.80.850.9
0.6885 ± 0.0355
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.60.6250.650.6750.70.7250.75
­