Run
537247

Run 537247

Task 10107 (Supervised Classification) iris Uploaded 16-03-2016 by Andreas Mueller
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  • NumPy_1.10.4. openml_run Python_3.5.1. SciPy_0.17.0. sklearn.linear_model.logistic.LogisticRegression Sklearn_0.18.dev0. Wed_Mar_16_12.28.26_2016
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Flow

sklearn.linear_model.logistic.LogisticRegression(1)Flow generated by openml_run
sklearn.linear_model.logistic.LogisticRegression(1)_C1.0
sklearn.linear_model.logistic.LogisticRegression(1)_random_stateNone
sklearn.linear_model.logistic.LogisticRegression(1)_dualFalse
sklearn.linear_model.logistic.LogisticRegression(1)_class_weightNone
sklearn.linear_model.logistic.LogisticRegression(1)_tol0.0001
sklearn.linear_model.logistic.LogisticRegression(1)_n_jobs1
sklearn.linear_model.logistic.LogisticRegression(1)_max_iter100
sklearn.linear_model.logistic.LogisticRegression(1)_multi_classovr
sklearn.linear_model.logistic.LogisticRegression(1)_verbose0
sklearn.linear_model.logistic.LogisticRegression(1)_penaltyl2
sklearn.linear_model.logistic.LogisticRegression(1)_intercept_scaling1
sklearn.linear_model.logistic.LogisticRegression(1)_fit_interceptTrue
sklearn.linear_model.logistic.LogisticRegression(1)_solverliblinear
sklearn.linear_model.logistic.LogisticRegression(1)_warm_startFalse

Result files

Description

XML file describing the run, including user-defined evaluation measures.

Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.9889
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9599
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.94
Cross-validation details (10-fold Crossvalidation)
KB relative information score
105.9984
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1744
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9619
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.96
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.96
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3924
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2371
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5031
Cross-validation details (10-fold Crossvalidation)
Total cost