Run
10438133

Run 10438133

Task 31 (Supervised Classification) credit-g Uploaded 02-04-2020 by Antonio Barata
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • openml-python Sklearn_0.22.2.post1.
Issue #Downvotes for this reason By


Flow

sklearn.tree._classes.DecisionTreeClassifier(4)A decision tree classifier.
sklearn.tree._classes.DecisionTreeClassifier(4)_ccp_alpha0.0
sklearn.tree._classes.DecisionTreeClassifier(4)_class_weightnull
sklearn.tree._classes.DecisionTreeClassifier(4)_criterion"gini"
sklearn.tree._classes.DecisionTreeClassifier(4)_max_depthnull
sklearn.tree._classes.DecisionTreeClassifier(4)_max_featuresnull
sklearn.tree._classes.DecisionTreeClassifier(4)_max_leaf_nodesnull
sklearn.tree._classes.DecisionTreeClassifier(4)_min_impurity_decrease0.0
sklearn.tree._classes.DecisionTreeClassifier(4)_min_impurity_splitnull
sklearn.tree._classes.DecisionTreeClassifier(4)_min_samples_leaf1
sklearn.tree._classes.DecisionTreeClassifier(4)_min_samples_split2
sklearn.tree._classes.DecisionTreeClassifier(4)_min_weight_fraction_leaf0.0
sklearn.tree._classes.DecisionTreeClassifier(4)_presort"deprecated"
sklearn.tree._classes.DecisionTreeClassifier(4)_random_state4650
sklearn.tree._classes.DecisionTreeClassifier(4)_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

Area under ROC curve
0.6448 ± 0.0573
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6897 ± 0.0424
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2779 ± 0.1049
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.1931 ± 0.1078
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.316 ± 0.0422
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.684 ± 0.0422
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6979 ± 0.0461
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.684 ± 0.0422
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8813
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7521 ± 0.1005
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5621 ± 0.0372
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2267 ± 0.0812
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.6448 ± 0.0573
Cross-validation details (10-fold Crossvalidation)