Run
1852873

Run 1852873

Task 145677 (Supervised Classification) Bioresponse Uploaded 17-03-2017 by Angelo Majoor
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  • Fri_Mar_17_09.28.13_2017 NumPy_1.12.0. Python_3.6.0. run_task SciPy_0.19.0. sklearn.pipeline.Pipeline Sklearn_0.18.1.
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Flow

sklearn.pipeline.Pipeline(OneHotEncoder=sklearn.preprocessing.data.OneHotEn coder,Feature_Removal=sklearn.feature_selection.univariate_selection.Select KBest,Classifier=sklearn.linear_model.logistic.LogisticRegression)(1)Automatically created scikit-learn flow.
sklearn.linear_model.logistic.LogisticRegression(3)_C100
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_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_startTrue
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(OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Feature_Removal=sklearn.feature_selection.univariate_selection.SelectKBest,Classifier=sklearn.linear_model.logistic.LogisticRegression)(1)_steps[('OneHotEncoder', OneHotEncoder(categorical_features='all', dtype=, handle_unknown='ignore', n_values='auto', sparse=False)), ('Feature_Removal', SelectKBest(k=100, score_func=)), ('Classifier', LogisticRegression(C=100, 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=True))]

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
0.7963
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7438
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4831
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1187.066
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3552
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
0.7439
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7443
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9948
Cross-validation details (10-fold Crossvalidation)
Recall
0.7443
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7156
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4982
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4259
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8549
Cross-validation details (10-fold Crossvalidation)