Run
1924573

Run 1924573

Task 37 (Supervised Classification) diabetes Uploaded 02-04-2017 by Jeroen van Hoof
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  • NumPy_1.12.1. Python_3.5.3. run_task SciPy_0.18.1. sklearn.pipeline.Pipeline Sklearn_0.18.1. Sun_Apr__2_04.11.09_2017
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,stand ardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=skle arn.linear_model.logistic.LogisticRegression)(1)Automatically created scikit-learn flow.
sklearn.linear_model.logistic.LogisticRegression(3)_C238.935309403
sklearn.linear_model.logistic.LogisticRegression(3)_class_weightNone
sklearn.linear_model.logistic.LogisticRegression(3)_dualTrue
sklearn.linear_model.logistic.LogisticRegression(3)_fit_interceptTrue
sklearn.linear_model.logistic.LogisticRegression(3)_intercept_scaling1
sklearn.linear_model.logistic.LogisticRegression(3)_max_iter943
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_stateNone
sklearn.linear_model.logistic.LogisticRegression(3)_solverliblinear
sklearn.linear_model.logistic.LogisticRegression(3)_tol1.63610701909e-05
sklearn.linear_model.logistic.LogisticRegression(3)_verbose0
sklearn.linear_model.logistic.LogisticRegression(3)_warm_startFalse
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,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1)_steps[('dualimputer', ), ('standardscaler', StandardScaler(copy=True, with_mean=True, with_std=True)), ('logisticregression', LogisticRegression(C=238.93530940289142, class_weight=None, dual=True, fit_intercept=True, intercept_scaling=1, max_iter=943, multi_class='ovr', n_jobs=-1, penalty='l2', random_state=None, solver='liblinear', tol=1.6361070190919268e-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

0.8287
Per class
Cross-validation details (10-fold Crossvalidation)
0.7601
Per class
Cross-validation details (10-fold Crossvalidation)
0.4651
Cross-validation details (10-fold Crossvalidation)
260.4184
Cross-validation details (10-fold Crossvalidation)
0.3051
Cross-validation details (10-fold Crossvalidation)
0.4545
Cross-validation details (10-fold Crossvalidation)
768
Per class
Cross-validation details (10-fold Crossvalidation)
0.7592
Per class
Cross-validation details (10-fold Crossvalidation)
0.7643
Cross-validation details (10-fold Crossvalidation)
0.9335
Cross-validation details (10-fold Crossvalidation)
0.7643
Per class
Cross-validation details (10-fold Crossvalidation)
0.6713
Cross-validation details (10-fold Crossvalidation)
0.4766
Cross-validation details (10-fold Crossvalidation)
0.3978
Cross-validation details (10-fold Crossvalidation)
0.8345
Cross-validation details (10-fold Crossvalidation)