Run
6080592

Run 6080592

Task 4 (Supervised Classification) labor Uploaded 12-08-2017 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)_bootstrapfalse
sklearn.ensemble.forest.RandomForestClassifier(21)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(21)_criterion"entropy"
sklearn.ensemble.forest.RandomForestClassifier(21)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(21)_max_features0.6485295039355178
sklearn.ensemble.forest.RandomForestClassifier(21)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(21)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(21)_min_samples_leaf6
sklearn.ensemble.forest.RandomForestClassifier(21)_min_samples_split8
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_state33532
sklearn.ensemble.forest.RandomForestClassifier(21)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(21)_warm_startfalse
openmlstudy14.preprocessing.ConditionalImputer(2)_axis0
openmlstudy14.preprocessing.ConditionalImputer(2)_categorical_features[4, 6, 9, 11, 12, 13, 14, 15]
openmlstudy14.preprocessing.ConditionalImputer(2)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(2)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(2)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy"median"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(2)_verbose0
sklearn.preprocessing.data.OneHotEncoder(7)_categorical_features[4, 6, 9, 11, 12, 13, 14, 15]
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

Area under ROC curve
0.9473 ± 0.068
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8947 ± 0.0972
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7689 ± 0.207
Cross-validation details (10-fold Crossvalidation)
KB relative information score
34.6951 ± 1.2096
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1851 ± 0.0891
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.457 ± 0.0093
Cross-validation details (10-fold Crossvalidation)
Number of instances
57
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8947 ± 0.0674
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8947 ± 0.0927
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9393
Cross-validation details (10-fold Crossvalidation)
Recall
0.8947 ± 0.0927
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.405 ± 0.1958
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4773 ± 0.0096
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3005 ± 0.1259
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6296 ± 0.2636
Cross-validation details (10-fold Crossvalidation)