Run
10154639

Run 10154639

Task 32 (Supervised Classification) pendigits Uploaded 06-02-2019 by Sarim Zafar
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Flow

sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,logist icregression=sklearn.linear_model.logistic.LogisticRegression)(1)Automatically created scikit-learn flow.
sklearn.impute.SimpleImputer(7)_copytrue
sklearn.impute.SimpleImputer(7)_fill_valuenull
sklearn.impute.SimpleImputer(7)_missing_valuesNaN
sklearn.impute.SimpleImputer(7)_strategy"mean"
sklearn.impute.SimpleImputer(7)_verbose0
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1)_memorynull
sklearn.linear_model.logistic.LogisticRegression(18)_C1.0
sklearn.linear_model.logistic.LogisticRegression(18)_class_weightnull
sklearn.linear_model.logistic.LogisticRegression(18)_dualfalse
sklearn.linear_model.logistic.LogisticRegression(18)_fit_intercepttrue
sklearn.linear_model.logistic.LogisticRegression(18)_intercept_scaling1
sklearn.linear_model.logistic.LogisticRegression(18)_max_iter100
sklearn.linear_model.logistic.LogisticRegression(18)_multi_class"warn"
sklearn.linear_model.logistic.LogisticRegression(18)_n_jobsnull
sklearn.linear_model.logistic.LogisticRegression(18)_penalty"l2"
sklearn.linear_model.logistic.LogisticRegression(18)_random_state13842
sklearn.linear_model.logistic.LogisticRegression(18)_solver"warn"
sklearn.linear_model.logistic.LogisticRegression(18)_tol0.0001
sklearn.linear_model.logistic.LogisticRegression(18)_verbose0
sklearn.linear_model.logistic.LogisticRegression(18)_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
0.9931 ± 0.0015
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.929 ± 0.0088
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.921 ± 0.0098
Cross-validation details (10-fold Crossvalidation)
KB relative information score
9849.1043 ± 6.3368
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0324 ± 0.0012
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
10992
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9293 ± 0.0085
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9289 ± 0.0088
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3208
Cross-validation details (10-fold Crossvalidation)
Recall
0.9289 ± 0.0088
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.18 ± 0.0067
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.112 ± 0.0044
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3734 ± 0.0145
Cross-validation details (10-fold Crossvalidation)