Run
10154754

Run 10154754

Task 3 (Supervised Classification) kr-vs-kp Uploaded 11-02-2019 by Pieter Gijsbers
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Flow

sklearn.pipeline.Pipeline(encoding=category_encoders.target_encoder.TargetE ncoder,algorithm=sklearn.naive_bayes.GaussianNB)(1)Automatically created scikit-learn flow.
sklearn.pipeline.Pipeline(encoding=category_encoders.target_encoder.TargetEncoder,algorithm=sklearn.naive_bayes.GaussianNB)(1)_memorynull
category_encoders.target_encoder.TargetEncoder(1)_cols[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35]
category_encoders.target_encoder.TargetEncoder(1)_drop_invariantfalse
category_encoders.target_encoder.TargetEncoder(1)_handle_unknown"impute"
category_encoders.target_encoder.TargetEncoder(1)_impute_missingtrue
category_encoders.target_encoder.TargetEncoder(1)_min_samples_leaf1
category_encoders.target_encoder.TargetEncoder(1)_return_dftrue
category_encoders.target_encoder.TargetEncoder(1)_smoothing1.0
category_encoders.target_encoder.TargetEncoder(1)_verbose0
sklearn.naive_bayes.GaussianNB(9)_priorsnull
sklearn.naive_bayes.GaussianNB(9)_var_smoothing1e-09

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
0.9158 ± 0.0207
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5875 ± 0.0203
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2575 ± 0.0303
Cross-validation details (10-fold Crossvalidation)
KB relative information score
904.5646 ± 8.4399
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3571 ± 0.0131
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.499 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
3196
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7459 ± 0.0232
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6405 ± 0.0144
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (10-fold Crossvalidation)
Recall
0.6405 ± 0.0144
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7155 ± 0.0263
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4995 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5927 ± 0.0106
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1866 ± 0.0212
Cross-validation details (10-fold Crossvalidation)