Run
1852625

Run 1852625

Task 145677 (Supervised Classification) Bioresponse Uploaded 15-03-2017 by Angelo Majoor
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  • NumPy_1.12.0. Python_3.6.0. run_task SciPy_0.19.0. sklearn.pipeline.Pipeline Sklearn_0.18.1. Wed_Mar_15_18.08.48_2017
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer, OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Feature_Removal=skle arn.feature_selection.univariate_selection.SelectKBest,Classifier=sklearn.l inear_model.logistic.LogisticRegression)(1)Automatically created scikit-learn flow.
sklearn.linear_model.logistic.LogisticRegression(3)_C1.0
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_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)_tol0.0001
sklearn.linear_model.logistic.LogisticRegression(3)_verbose0
sklearn.linear_model.logistic.LogisticRegression(3)_warm_startFalse
sklearn.preprocessing.imputation.Imputer(3)_axis0
sklearn.preprocessing.imputation.Imputer(3)_copyTrue
sklearn.preprocessing.imputation.Imputer(3)_missing_valuesNaN
sklearn.preprocessing.imputation.Imputer(3)_strategymedian
sklearn.preprocessing.imputation.Imputer(3)_verbose0
sklearn.preprocessing.data.OneHotEncoder(3)_categorical_featuresall
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.feature_selection.univariate_selection.SelectKBest(1)_k100
sklearn.feature_selection.univariate_selection.SelectKBest(1)_score_func
sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Feature_Removal=sklearn.feature_selection.univariate_selection.SelectKBest,Classifier=sklearn.linear_model.logistic.LogisticRegression)(1)_steps[('Imputer', Imputer(axis=0, copy=True, missing_values='NaN', strategy='median', verbose=0)), ('OneHotEncoder', OneHotEncoder(categorical_features='all', dtype=, handle_unknown='ignore', n_values='auto', sparse=False)), ('Feature_Removal', SelectKBest(k=100, score_func=)), ('Classifier', LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True, intercept_scaling=1, max_iter=100, multi_class='ovr', n_jobs=1, penalty='l2', random_state=None, 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
0.7964
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7433
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4822
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1184.6014
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3556
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4964
Cross-validation details (10-fold Crossvalidation)
Number of instances
3751
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7433
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7438
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9948
Cross-validation details (10-fold Crossvalidation)
Recall
0.7438
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7163
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4982
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8547
Cross-validation details (10-fold Crossvalidation)