Run
2040495

Run 2040495

Task 2071 (Supervised Classification) adult Uploaded 11-04-2017 by Jeroen van Hoof
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  • NumPy_1.12.1. Python_3.5.3. run_task SciPy_0.19.0. sklearn.pipeline.Pipeline Sklearn_0.18.1. Tue_Apr_11_21.29.48_2017
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(DualImputer=helper.dual_imputer.DualImputer,oneho tencoder=sklearn.preprocessing.data.OneHotEncoder,standardscaler=sklearn.pr eprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.log istic.LogisticRegression)(1)Automatically created scikit-learn flow.
sklearn.linear_model.logistic.LogisticRegression(3)_C100000.0
sklearn.linear_model.logistic.LogisticRegression(3)_class_weightNone
sklearn.linear_model.logistic.LogisticRegression(3)_dualFalse
sklearn.linear_model.logistic.LogisticRegression(3)_fit_interceptTrue
sklearn.linear_model.logistic.LogisticRegression(3)_intercept_scaling1
sklearn.linear_model.logistic.LogisticRegression(3)_max_iter890
sklearn.linear_model.logistic.LogisticRegression(3)_multi_classovr
sklearn.linear_model.logistic.LogisticRegression(3)_n_jobs-1
sklearn.linear_model.logistic.LogisticRegression(3)_penaltyl2
sklearn.linear_model.logistic.LogisticRegression(3)_random_state3
sklearn.linear_model.logistic.LogisticRegression(3)_solverliblinear
sklearn.linear_model.logistic.LogisticRegression(3)_tol1e-05
sklearn.linear_model.logistic.LogisticRegression(3)_verbose0
sklearn.linear_model.logistic.LogisticRegression(3)_warm_startFalse
sklearn.preprocessing.data.OneHotEncoder(3)_categorical_features[True, True, False, True, False, True, True, True, True, True, True, True, True, True]
sklearn.preprocessing.data.OneHotEncoder(3)_dtype
sklearn.preprocessing.data.OneHotEncoder(3)_handle_unknownignore
sklearn.preprocessing.data.OneHotEncoder(3)_n_valuesauto
sklearn.preprocessing.data.OneHotEncoder(3)_sparseFalse
sklearn.preprocessing.data.StandardScaler(1)_copyTrue
sklearn.preprocessing.data.StandardScaler(1)_with_meanTrue
sklearn.preprocessing.data.StandardScaler(1)_with_stdTrue
sklearn.pipeline.Pipeline(DualImputer=helper.dual_imputer.DualImputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1)_steps[('DualImputer', ), ('onehotencoder', OneHotEncoder(categorical_features=[True, True, False, True, False, True, True, True, True, True, True, True, True, True], dtype=, handle_unknown='ignore', n_values='auto', sparse=False)), ('standardscaler', StandardScaler(copy=True, with_mean=True, with_std=True)), ('logisticregression', LogisticRegression(C=100000.0, class_weight=None, dual=False, fit_intercept=True, intercept_scaling=1, max_iter=890, multi_class='ovr', n_jobs=-1, penalty='l2', random_state=3, solver='liblinear', tol=1.0000000000000001e-05, verbose=0, warm_start=False))]

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
0.9116
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8512
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5793
Cross-validation details (10-fold Crossvalidation)
KB relative information score
21259.6125
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1962
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3641
Cross-validation details (10-fold Crossvalidation)
Number of instances
48842
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8504
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8565
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7939
Cross-validation details (10-fold Crossvalidation)
Recall
0.8565
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5389
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4266
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3143
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7367
Cross-validation details (10-fold Crossvalidation)