Run
10464947

Run 10464947

Task 3913 (Supervised Classification) kc2 Uploaded 20-07-2020 by Sean Broestl
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Flow

sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer, decisiontreeclassifier=sklearn.tree._classes.DecisionTreeClassifier)(1)Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit and transform methods. The final estimator only needs to implement fit. The transformers in the pipeline can be cached using ``memory`` argument. The purpose of the pipeline is to assemble several steps that can be cross-validated together while setting different parameters. For this, it enables setting parameters of the various steps using their names and the parameter name separated by a '__', as in the example below. A step's estimator may be replaced entirely by setting the parameter with its name to another estimator, or a transformer removed by setting it to 'passthrough' or ``None``.
sklearn.impute._base.SimpleImputer(16)_add_indicatorfalse
sklearn.impute._base.SimpleImputer(16)_copytrue
sklearn.impute._base.SimpleImputer(16)_fill_valuenull
sklearn.impute._base.SimpleImputer(16)_missing_valuesNaN
sklearn.impute._base.SimpleImputer(16)_strategy"mean"
sklearn.impute._base.SimpleImputer(16)_verbose0
sklearn.tree._classes.DecisionTreeClassifier(5)_ccp_alpha0.0
sklearn.tree._classes.DecisionTreeClassifier(5)_class_weightnull
sklearn.tree._classes.DecisionTreeClassifier(5)_criterion"gini"
sklearn.tree._classes.DecisionTreeClassifier(5)_max_depthnull
sklearn.tree._classes.DecisionTreeClassifier(5)_max_featuresnull
sklearn.tree._classes.DecisionTreeClassifier(5)_max_leaf_nodesnull
sklearn.tree._classes.DecisionTreeClassifier(5)_min_impurity_decrease0.0
sklearn.tree._classes.DecisionTreeClassifier(5)_min_impurity_splitnull
sklearn.tree._classes.DecisionTreeClassifier(5)_min_samples_leaf1
sklearn.tree._classes.DecisionTreeClassifier(5)_min_samples_split2
sklearn.tree._classes.DecisionTreeClassifier(5)_min_weight_fraction_leaf0.0
sklearn.tree._classes.DecisionTreeClassifier(5)_presort"deprecated"
sklearn.tree._classes.DecisionTreeClassifier(5)_random_state43148
sklearn.tree._classes.DecisionTreeClassifier(5)_splitter"best"
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,decisiontreeclassifier=sklearn.tree._classes.DecisionTreeClassifier)(1)_memorynull
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,decisiontreeclassifier=sklearn.tree._classes.DecisionTreeClassifier)(1)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "decisiontreeclassifier", "step_name": "decisiontreeclassifier"}}]
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,decisiontreeclassifier=sklearn.tree._classes.DecisionTreeClassifier)(1)_verbosefalse

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.

18 Evaluation measures

0.6071 ± 0.0649
Per class
Cross-validation details (10-fold Crossvalidation)
0.7878 ± 0.038
Per class
Cross-validation details (10-fold Crossvalidation)
0.3444 ± 0.1005
Cross-validation details (10-fold Crossvalidation)
0.2112 ± 0.1602
Cross-validation details (10-fold Crossvalidation)
0.2254 ± 0.0423
Cross-validation details (10-fold Crossvalidation)
0.3266 ± 0.0052
Cross-validation details (10-fold Crossvalidation)
0.7893 ± 0.0462
Cross-validation details (10-fold Crossvalidation)
522
Per class
Cross-validation details (10-fold Crossvalidation)
0.7864 ± 0.0382
Per class
Cross-validation details (10-fold Crossvalidation)
0.7893 ± 0.0462
Cross-validation details (10-fold Crossvalidation)
0.7318 ± 0.0173
Cross-validation details (10-fold Crossvalidation)
0.6902 ± 0.1327
Cross-validation details (10-fold Crossvalidation)
0.4037 ± 0.0065
Cross-validation details (10-fold Crossvalidation)
0.4612 ± 0.0503
Cross-validation details (10-fold Crossvalidation)
1.1424 ± 0.1284
Cross-validation details (10-fold Crossvalidation)
0.6698 ± 0.0494
Cross-validation details (10-fold Crossvalidation)