Run
5318726

Run 5318726

Task 146543 (Supervised Classification) ML2017-challenge-1 Uploaded 10-07-2017 by David-Elias Künstle
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.linear_model.logistic.LogisticRegression(6)Automatically created scikit-learn flow.
sklearn.linear_model.logistic.LogisticRegression(6)_C2.0
sklearn.linear_model.logistic.LogisticRegression(6)_class_weightnull
sklearn.linear_model.logistic.LogisticRegression(6)_dualfalse
sklearn.linear_model.logistic.LogisticRegression(6)_fit_intercepttrue
sklearn.linear_model.logistic.LogisticRegression(6)_intercept_scaling1
sklearn.linear_model.logistic.LogisticRegression(6)_max_iter100
sklearn.linear_model.logistic.LogisticRegression(6)_multi_class"ovr"
sklearn.linear_model.logistic.LogisticRegression(6)_n_jobs1
sklearn.linear_model.logistic.LogisticRegression(6)_penalty"l1"
sklearn.linear_model.logistic.LogisticRegression(6)_random_state30924
sklearn.linear_model.logistic.LogisticRegression(6)_solver"liblinear"
sklearn.linear_model.logistic.LogisticRegression(6)_tol0.0001
sklearn.linear_model.logistic.LogisticRegression(6)_verbose0
sklearn.linear_model.logistic.LogisticRegression(6)_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
0.9956
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9731
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9461
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2893.2662
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0516
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.499
Cross-validation details (10-fold Crossvalidation)
Number of instances
3196
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9731
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9731
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (10-fold Crossvalidation)
Recall
0.9731
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1035
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4995
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1539
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3081
Cross-validation details (10-fold Crossvalidation)