Run
6032877

Run 6032877

Task 3950 (Supervised Classification) musk Uploaded 20-07-2017 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • openml-pimp openml-python Sklearn_0.18.1.
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.Conditiona lImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethres hold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classif ier=sklearn.ensemble.forest.RandomForestClassifier)(1)Automatically created scikit-learn flow.
sklearn.ensemble.forest.RandomForestClassifier(21)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(21)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(21)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(21)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(21)_max_features0.6006490601010666
sklearn.ensemble.forest.RandomForestClassifier(21)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(21)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(21)_min_samples_leaf9
sklearn.ensemble.forest.RandomForestClassifier(21)_min_samples_split5
sklearn.ensemble.forest.RandomForestClassifier(21)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(21)_n_estimators100
sklearn.ensemble.forest.RandomForestClassifier(21)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(21)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(21)_random_state50495
sklearn.ensemble.forest.RandomForestClassifier(21)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(21)_warm_startfalse
openmlstudy14.preprocessing.ConditionalImputer(2)_axis0
openmlstudy14.preprocessing.ConditionalImputer(2)_categorical_features[0]
openmlstudy14.preprocessing.ConditionalImputer(2)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(2)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(2)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(2)_verbose0
sklearn.preprocessing.data.OneHotEncoder(7)_categorical_features[0]
sklearn.preprocessing.data.OneHotEncoder(7)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(7)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(7)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(7)_sparsetrue
sklearn.feature_selection.variance_threshold.VarianceThreshold(4)_threshold0.0

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

0.9985 ± 0.0014
Per class
Cross-validation details (10-fold Crossvalidation)
0.9877 ± 0.0046
Per class
Cross-validation details (10-fold Crossvalidation)
0.9525 ± 0.018
Cross-validation details (10-fold Crossvalidation)
5762.5698 ± 14.7235
Cross-validation details (10-fold Crossvalidation)
0.0347 ± 0.0053
Cross-validation details (10-fold Crossvalidation)
0.2608 ± 0.0005
Cross-validation details (10-fold Crossvalidation)
6598
Per class
Cross-validation details (10-fold Crossvalidation)
0.9878 ± 0.0046
Per class
Cross-validation details (10-fold Crossvalidation)
0.9879 ± 0.0046
Cross-validation details (10-fold Crossvalidation)
0.6204
Cross-validation details (10-fold Crossvalidation)
0.9879 ± 0.0046
Per class
Cross-validation details (10-fold Crossvalidation)
0.1331 ± 0.0202
Cross-validation details (10-fold Crossvalidation)
0.3611 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
0.1053 ± 0.0135
Cross-validation details (10-fold Crossvalidation)
0.2915 ± 0.0374
Cross-validation details (10-fold Crossvalidation)