Run
2041974

Run 2041974

Task 37 (Supervised Classification) diabetes Uploaded 15-04-2017 by Jeroen van Hoof
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  • NumPy_1.12.0. Python_3.6.0. run_task Sat_Apr_15_22.08.53_2017 SciPy_0.19.0. sklearn.pipeline.Pipeline Sklearn_0.18.1.
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Flow

sklearn.pipeline.Pipeline(dualimputer=extra.dual_imputer.DualImputer,logist icregression=sklearn.linear_model.logistic.LogisticRegression)(1)Automatically created scikit-learn flow.
sklearn.linear_model.logistic.LogisticRegression(3)_C20.0
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_iter100
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)_tol0.0001
sklearn.linear_model.logistic.LogisticRegression(3)_verbose0
sklearn.linear_model.logistic.LogisticRegression(3)_warm_startFalse
sklearn.pipeline.Pipeline(dualimputer=extra.dual_imputer.DualImputer,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1)_steps[('dualimputer', ), ('logisticregression', LogisticRegression(C=20.0, class_weight=None, dual=False, fit_intercept=True, intercept_scaling=1, max_iter=100, multi_class='ovr', n_jobs=-1, penalty='l2', random_state=3, solver='liblinear', tol=0.0001, 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
0.8298
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7716
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.488
Cross-validation details (10-fold Crossvalidation)
KB relative information score
252.2927
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3121
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4545
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7739
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7786
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7786
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6867
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3963
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8315
Cross-validation details (10-fold Crossvalidation)