Run
1853411

Run 1853411

Task 2071 (Supervised Classification) adult Uploaded 22-03-2017 by Jeroen van Hoof
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  • NumPy_1.11.2. Python_3.5.3. run_task SciPy_0.18.1. sklearn.pipeline.Pipeline Sklearn_0.18.1. Wed_Mar_22_03.58.08_2017
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(pt1=helper.partial.PT1(transformer=helper.partial .IMP1),pt2=helper.partial.PT2(transformer=helper.partial.IMP2),pt3=helper.p artial.PT3(transformer=sklearn.preprocessing.data.StandardScaler),onehotenc oder=sklearn.preprocessing.data.OneHotEncoder,logisticregression=sklearn.li near_model.logistic.LogisticRegression)(1)Automatically created scikit-learn flow.
sklearn.linear_model.logistic.LogisticRegression(3)_C0.027
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_iter100
sklearn.linear_model.logistic.LogisticRegression(3)_multi_classovr
sklearn.linear_model.logistic.LogisticRegression(3)_n_jobs1
sklearn.linear_model.logistic.LogisticRegression(3)_penaltyl2
sklearn.linear_model.logistic.LogisticRegression(3)_random_stateNone
sklearn.linear_model.logistic.LogisticRegression(3)_solverliblinear
sklearn.linear_model.logistic.LogisticRegression(3)_tol0.13
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.pipeline.Pipeline(pt1=helper.partial.PT1(transformer=helper.partial.IMP1),pt2=helper.partial.PT2(transformer=helper.partial.IMP2),pt3=helper.partial.PT3(transformer=sklearn.preprocessing.data.StandardScaler),onehotencoder=sklearn.preprocessing.data.OneHotEncoder,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1)_steps[('pt1', ), ('pt2', ), ('pt3', ), ('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)), ('logisticregression', LogisticRegression(C=0.027, class_weight=None, dual=False, fit_intercept=True, intercept_scaling=1, max_iter=100, multi_class='ovr', n_jobs=1, penalty='l2', random_state=None, solver='liblinear', tol=0.13, 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
0.9051
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8435
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5549
Cross-validation details (10-fold Crossvalidation)
KB relative information score
18761.3731
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2172
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
0.8432
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8504
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7939
Cross-validation details (10-fold Crossvalidation)
Recall
0.8504
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5967
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4266
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3208
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.752
Cross-validation details (10-fold Crossvalidation)