Run
10559769

Run 10559769

Task 146065 (Supervised Classification) monks-problems-2 Uploaded 08-03-2021 by Zato Chou
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Flow

sklearn.pipeline.Pipeline(OneHot=sklearn.preprocessing._encoders.OneHotEnco der,DTC=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.pipeline.Pipeline(OneHot=sklearn.preprocessing._encoders.OneHotEncoder,DTC=sklearn.tree._classes.DecisionTreeClassifier)(1)_memorynull
sklearn.pipeline.Pipeline(OneHot=sklearn.preprocessing._encoders.OneHotEncoder,DTC=sklearn.tree._classes.DecisionTreeClassifier)(1)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "OneHot", "step_name": "OneHot"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "DTC", "step_name": "DTC"}}]
sklearn.pipeline.Pipeline(OneHot=sklearn.preprocessing._encoders.OneHotEncoder,DTC=sklearn.tree._classes.DecisionTreeClassifier)(1)_verbosefalse
sklearn.preprocessing._encoders.OneHotEncoder(24)_categories"auto"
sklearn.preprocessing._encoders.OneHotEncoder(24)_dropnull
sklearn.preprocessing._encoders.OneHotEncoder(24)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing._encoders.OneHotEncoder(24)_handle_unknown"error"
sklearn.preprocessing._encoders.OneHotEncoder(24)_sparsetrue
sklearn.tree._classes.DecisionTreeClassifier(12)_ccp_alpha0.0
sklearn.tree._classes.DecisionTreeClassifier(12)_class_weightnull
sklearn.tree._classes.DecisionTreeClassifier(12)_criterion"gini"
sklearn.tree._classes.DecisionTreeClassifier(12)_max_depthnull
sklearn.tree._classes.DecisionTreeClassifier(12)_max_featuresnull
sklearn.tree._classes.DecisionTreeClassifier(12)_max_leaf_nodesnull
sklearn.tree._classes.DecisionTreeClassifier(12)_min_impurity_decrease0.0
sklearn.tree._classes.DecisionTreeClassifier(12)_min_impurity_splitnull
sklearn.tree._classes.DecisionTreeClassifier(12)_min_samples_leaf1
sklearn.tree._classes.DecisionTreeClassifier(12)_min_samples_split2
sklearn.tree._classes.DecisionTreeClassifier(12)_min_weight_fraction_leaf0.0
sklearn.tree._classes.DecisionTreeClassifier(12)_presort"deprecated"
sklearn.tree._classes.DecisionTreeClassifier(12)_random_state51333
sklearn.tree._classes.DecisionTreeClassifier(12)_splitter"best"

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

0.9938 ± 0.0136
Per class
Cross-validation details (10-fold Crossvalidation)
0.9934 ± 0.014
Per class
Cross-validation details (10-fold Crossvalidation)
0.9853 ± 0.0309
Cross-validation details (10-fold Crossvalidation)
0.9846 ± 0.0326
Cross-validation details (10-fold Crossvalidation)
0.0067 ± 0.0141
Cross-validation details (10-fold Crossvalidation)
0.4507 ± 0.0026
Cross-validation details (10-fold Crossvalidation)
0.9933 ± 0.0141
Cross-validation details (10-fold Crossvalidation)
601
Per class
Cross-validation details (10-fold Crossvalidation)
0.9934 ± 0.0135
Per class
Cross-validation details (10-fold Crossvalidation)
0.9933 ± 0.0141
Cross-validation details (10-fold Crossvalidation)
0.9274 ± 0.0078
Cross-validation details (10-fold Crossvalidation)
0.0148 ± 0.0312
Cross-validation details (10-fold Crossvalidation)
0.4746 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
0.0816 ± 0.077
Cross-validation details (10-fold Crossvalidation)
0.1719 ± 0.1623
Cross-validation details (10-fold Crossvalidation)
0.9938 ± 0.0136
Cross-validation details (10-fold Crossvalidation)