Run
8777887

Run 8777887

Task 3494 (Supervised Classification) monks-problems-3 Uploaded 05-01-2018 by Vishal Chouskey
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • openml-pimp openml-python Sklearn_0.18.2.
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.tree.tree.DecisionTreeClassifier)(3)Automatically created scikit-learn flow.
sklearn.preprocessing.data.OneHotEncoder(14)_categorical_features[0, 1, 2, 3, 4, 5]
sklearn.preprocessing.data.OneHotEncoder(14)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(14)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(14)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(14)_sparsetrue
sklearn.feature_selection.variance_threshold.VarianceThreshold(9)_threshold0.0
openmlstudy14.preprocessing.ConditionalImputer(6)_axis0
openmlstudy14.preprocessing.ConditionalImputer(6)_categorical_features[0, 1, 2, 3, 4, 5]
openmlstudy14.preprocessing.ConditionalImputer(6)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(6)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(6)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(6)_strategy"mean"
openmlstudy14.preprocessing.ConditionalImputer(6)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(6)_verbose0
sklearn.tree.tree.DecisionTreeClassifier(20)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(20)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(20)_max_depth1.9613077248976745
sklearn.tree.tree.DecisionTreeClassifier(20)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(20)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(20)_min_impurity_split1e-07
sklearn.tree.tree.DecisionTreeClassifier(20)_min_samples_leaf10
sklearn.tree.tree.DecisionTreeClassifier(20)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(20)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(20)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(20)_random_state20235
sklearn.tree.tree.DecisionTreeClassifier(20)_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.

17 Evaluation measures

Area under ROC curve
0.7643 ± 0.0431
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7736 ± 0.0482
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5566 ± 0.0846
Cross-validation details (10-fold Crossvalidation)
KB relative information score
221.5304 ± 2.992
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3172 ± 0.0249
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4992 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Number of instances
554
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8151 ± 0.0242
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7816 ± 0.0407
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9989
Cross-validation details (10-fold Crossvalidation)
Recall
0.7816 ± 0.0407
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6355 ± 0.0499
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4996 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4026 ± 0.0243
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8059 ± 0.0487
Cross-validation details (10-fold Crossvalidation)