Run
10154878

Run 10154878

Task 3 (Supervised Classification) kr-vs-kp Uploaded 06-03-2019 by Pieter Gijsbers
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(preprocessing=sklearn.compose._column_transformer .ColumnTransformer(num_imputer=sklearn.impute.SimpleImputer,basic_encoder=c ategory_encoders.one_hot.OneHotEncoder),preprocessing2=sklearn.compose._col umn_transformer.ColumnTransformer(non_binary_imputer=__main__.SimpleImputer 2),algorithm=sklearn.ensemble.forest.RandomForestClassifier)(1)Automatically created scikit-learn flow.
sklearn.impute.SimpleImputer(10)_copytrue
sklearn.impute.SimpleImputer(10)_fill_valuenull
sklearn.impute.SimpleImputer(10)_missing_valuesNaN
sklearn.impute.SimpleImputer(10)_strategy"mean"
sklearn.impute.SimpleImputer(10)_verbose0
category_encoders.one_hot.OneHotEncoder(1)_cols[0]
category_encoders.one_hot.OneHotEncoder(1)_drop_invariantfalse
category_encoders.one_hot.OneHotEncoder(1)_handle_unknown"impute"
category_encoders.one_hot.OneHotEncoder(1)_impute_missingtrue
category_encoders.one_hot.OneHotEncoder(1)_return_dftrue
category_encoders.one_hot.OneHotEncoder(1)_use_cat_namesfalse
category_encoders.one_hot.OneHotEncoder(1)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(51)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(51)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(51)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(51)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(51)_max_features"auto"
sklearn.ensemble.forest.RandomForestClassifier(51)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(51)_min_impurity_decrease0.0
sklearn.ensemble.forest.RandomForestClassifier(51)_min_impurity_splitnull
sklearn.ensemble.forest.RandomForestClassifier(51)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(51)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(51)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(51)_n_estimators"warn"
sklearn.ensemble.forest.RandomForestClassifier(51)_n_jobsnull
sklearn.ensemble.forest.RandomForestClassifier(51)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(51)_random_state41804
sklearn.ensemble.forest.RandomForestClassifier(51)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(51)_warm_startfalse
sklearn.pipeline.Pipeline(preprocessing=sklearn.compose._column_transformer.ColumnTransformer(num_imputer=sklearn.impute.SimpleImputer,basic_encoder=category_encoders.one_hot.OneHotEncoder),preprocessing2=sklearn.compose._column_transformer.ColumnTransformer(non_binary_imputer=__main__.SimpleImputer2),algorithm=sklearn.ensemble.forest.RandomForestClassifier)(1)_memorynull
sklearn.pipeline.Pipeline(preprocessing=sklearn.compose._column_transformer.ColumnTransformer(num_imputer=sklearn.impute.SimpleImputer,basic_encoder=category_encoders.one_hot.OneHotEncoder),preprocessing2=sklearn.compose._column_transformer.ColumnTransformer(non_binary_imputer=__main__.SimpleImputer2),algorithm=sklearn.ensemble.forest.RandomForestClassifier)(1)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "preprocessing", "step_name": "preprocessing"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "preprocessing2", "step_name": "preprocessing2"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "algorithm", "step_name": "algorithm"}}]
sklearn.compose._column_transformer.ColumnTransformer(num_imputer=sklearn.impute.SimpleImputer,basic_encoder=category_encoders.one_hot.OneHotEncoder)(1)_n_jobsnull
sklearn.compose._column_transformer.ColumnTransformer(num_imputer=sklearn.impute.SimpleImputer,basic_encoder=category_encoders.one_hot.OneHotEncoder)(1)_remainder"passthrough"
sklearn.compose._column_transformer.ColumnTransformer(num_imputer=sklearn.impute.SimpleImputer,basic_encoder=category_encoders.one_hot.OneHotEncoder)(1)_sparse_threshold0.3
sklearn.compose._column_transformer.ColumnTransformer(num_imputer=sklearn.impute.SimpleImputer,basic_encoder=category_encoders.one_hot.OneHotEncoder)(1)_transformer_weightsnull
sklearn.compose._column_transformer.ColumnTransformer(num_imputer=sklearn.impute.SimpleImputer,basic_encoder=category_encoders.one_hot.OneHotEncoder)(1)_transformers[{"oml-python:serialized_object": "component_reference", "value": {"key": "num_imputer", "step_name": "num_imputer", "argument_1": []}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "basic_encoder", "step_name": "basic_encoder", "argument_1": [14]}}]
sklearn.compose._column_transformer.ColumnTransformer(non_binary_imputer=__main__.SimpleImputer2)(1)_n_jobsnull
sklearn.compose._column_transformer.ColumnTransformer(non_binary_imputer=__main__.SimpleImputer2)(1)_remainder"passthrough"
sklearn.compose._column_transformer.ColumnTransformer(non_binary_imputer=__main__.SimpleImputer2)(1)_sparse_threshold0.3
sklearn.compose._column_transformer.ColumnTransformer(non_binary_imputer=__main__.SimpleImputer2)(1)_transformer_weightsnull
sklearn.compose._column_transformer.ColumnTransformer(non_binary_imputer=__main__.SimpleImputer2)(1)_transformers[{"oml-python:serialized_object": "component_reference", "value": {"key": "non_binary_imputer", "step_name": "non_binary_imputer", "argument_1": [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]}}]
__main__.SimpleImputer2(1)_copytrue
__main__.SimpleImputer2(1)_fill_valuenull
__main__.SimpleImputer2(1)_missing_valuesNaN
__main__.SimpleImputer2(1)_strategy"median"
__main__.SimpleImputer2(1)_verbose0

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

0.9981 ± 0.0018
Per class
Cross-validation details (10-fold Crossvalidation)
0.9865 ± 0.008
Per class
Cross-validation details (10-fold Crossvalidation)
0.973 ± 0.016
Cross-validation details (10-fold Crossvalidation)
2869.5823 ± 6.4181
Cross-validation details (10-fold Crossvalidation)
0.06 ± 0.0106
Cross-validation details (10-fold Crossvalidation)
0.499 ± 0
Cross-validation details (10-fold Crossvalidation)
3196
Per class
Cross-validation details (10-fold Crossvalidation)
0.9866 ± 0.0078
Per class
Cross-validation details (10-fold Crossvalidation)
0.9865 ± 0.008
Cross-validation details (10-fold Crossvalidation)
0.9986
Cross-validation details (10-fold Crossvalidation)
0.9865 ± 0.008
Per class
Cross-validation details (10-fold Crossvalidation)
0.1203 ± 0.0212
Cross-validation details (10-fold Crossvalidation)
0.4995 ± 0
Cross-validation details (10-fold Crossvalidation)
0.1299 ± 0.0198
Cross-validation details (10-fold Crossvalidation)
0.26 ± 0.0397
Cross-validation details (10-fold Crossvalidation)