Run
10228371

Run 10228371

Task 2077 (Supervised Classification) baseball Uploaded 04-06-2019 by Peter Fontana
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(Imputer=sklearn.impute.SimpleImputer,fs=sklearn.f eature_selection.univariate_selection.SelectPercentile,scaler=sklearn.prepr ocessing.data.StandardScaler,lr=sklearn.linear_model.logistic.LogisticRegre ssion)(1)Automatically created scikit-learn flow.
sklearn.impute.SimpleImputer(10)_copytrue
sklearn.impute.SimpleImputer(10)_fill_valuenull
sklearn.impute.SimpleImputer(10)_missing_valuesNaN
sklearn.impute.SimpleImputer(10)_strategy"constant"
sklearn.impute.SimpleImputer(10)_verbose0
sklearn.preprocessing.data.StandardScaler(25)_copytrue
sklearn.preprocessing.data.StandardScaler(25)_with_meantrue
sklearn.preprocessing.data.StandardScaler(25)_with_stdtrue
sklearn.linear_model.logistic.LogisticRegression(23)_C1.0
sklearn.linear_model.logistic.LogisticRegression(23)_class_weightnull
sklearn.linear_model.logistic.LogisticRegression(23)_dualfalse
sklearn.linear_model.logistic.LogisticRegression(23)_fit_intercepttrue
sklearn.linear_model.logistic.LogisticRegression(23)_intercept_scaling1
sklearn.linear_model.logistic.LogisticRegression(23)_max_iter100
sklearn.linear_model.logistic.LogisticRegression(23)_multi_class"auto"
sklearn.linear_model.logistic.LogisticRegression(23)_n_jobsnull
sklearn.linear_model.logistic.LogisticRegression(23)_penalty"l1"
sklearn.linear_model.logistic.LogisticRegression(23)_random_state49026
sklearn.linear_model.logistic.LogisticRegression(23)_solver"liblinear"
sklearn.linear_model.logistic.LogisticRegression(23)_tol0.0001
sklearn.linear_model.logistic.LogisticRegression(23)_verbose0
sklearn.linear_model.logistic.LogisticRegression(23)_warm_startfalse
sklearn.feature_selection.univariate_selection.SelectPercentile(3)_percentile90
sklearn.feature_selection.univariate_selection.SelectPercentile(3)_score_func{"oml-python:serialized_object": "function", "value": "sklearn.feature_selection.univariate_selection.f_classif"}
sklearn.pipeline.Pipeline(Imputer=sklearn.impute.SimpleImputer,fs=sklearn.feature_selection.univariate_selection.SelectPercentile,scaler=sklearn.preprocessing.data.StandardScaler,lr=sklearn.linear_model.logistic.LogisticRegression)(1)_memorynull
sklearn.pipeline.Pipeline(Imputer=sklearn.impute.SimpleImputer,fs=sklearn.feature_selection.univariate_selection.SelectPercentile,scaler=sklearn.preprocessing.data.StandardScaler,lr=sklearn.linear_model.logistic.LogisticRegression)(1)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "fs", "step_name": "fs"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "lr", "step_name": "lr"}}]

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
0.9532 ± 0.0252
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9218 ± 0.0122
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5187 ± 0.0698
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.3498 ± 0.0893
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0685 ± 0.0059
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1164 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
Number of instances
1340
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9187 ± 0.0118
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9328 ± 0.01
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5401 ± 0.0169
Cross-validation details (10-fold Crossvalidation)
Recall
0.9328 ± 0.01
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5888 ± 0.0513
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2405 ± 0.0047
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1823 ± 0.0128
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7582 ± 0.05
Cross-validation details (10-fold Crossvalidation)