Run
1852725

Run 1852725

Task 145677 (Supervised Classification) Bioresponse Uploaded 16-03-2017 by Angelo Majoor
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  • NumPy_1.11.1. Python_3.5.2. run_task SciPy_0.17.1. sklearn.linear_model.logistic.LogisticRegression Sklearn_0.18.1. Thu_Mar_16_12.50.27_2017
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Flow

sklearn.linear_model.logistic.LogisticRegression(3)Automatically created sub-component.
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

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
0.7649
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7347
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4652
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1608.5491
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2865
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
0.7346
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.735
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9948
Cross-validation details (10-fold Crossvalidation)
Recall
0.735
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5772
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4982
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4738
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.951
Cross-validation details (10-fold Crossvalidation)