Run
8857772

Run 8857772

Task 145677 (Supervised Classification) Bioresponse Uploaded 05-02-2018 by F M
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Flow

sklearn.linear_model.logistic.LogisticRegression(10)Automatically created scikit-learn flow.
sklearn.linear_model.logistic.LogisticRegression(10)_C1.0
sklearn.linear_model.logistic.LogisticRegression(10)_class_weightnull
sklearn.linear_model.logistic.LogisticRegression(10)_dualfalse
sklearn.linear_model.logistic.LogisticRegression(10)_fit_intercepttrue
sklearn.linear_model.logistic.LogisticRegression(10)_intercept_scaling1
sklearn.linear_model.logistic.LogisticRegression(10)_max_iter100
sklearn.linear_model.logistic.LogisticRegression(10)_multi_class"ovr"
sklearn.linear_model.logistic.LogisticRegression(10)_n_jobs1
sklearn.linear_model.logistic.LogisticRegression(10)_penalty"l2"
sklearn.linear_model.logistic.LogisticRegression(10)_random_state9942
sklearn.linear_model.logistic.LogisticRegression(10)_solver"liblinear"
sklearn.linear_model.logistic.LogisticRegression(10)_tol0.0001
sklearn.linear_model.logistic.LogisticRegression(10)_verbose0
sklearn.linear_model.logistic.LogisticRegression(10)_warm_startfalse

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
0.8141 ± 0.0206
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.754 ± 0.024
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5039 ± 0.0486
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1581.9659 ± 11.0597
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2963 ± 0.014
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4964 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Number of instances
3751
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.754 ± 0.0243
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7545 ± 0.0239
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9948
Cross-validation details (10-fold Crossvalidation)
Recall
0.7545 ± 0.0239
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5969 ± 0.0281
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4982 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4233 ± 0.0144
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8495 ± 0.0289
Cross-validation details (10-fold Crossvalidation)