Run
10457149

Run 10457149

Task 211993 (Supervised Regression) titanic_2 Uploaded 19-05-2020 by sri ranga sai
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  • openml-python Sklearn_0.22.2.post1.
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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_state21807
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.

7 Evaluation measures

Mean absolute error
0.1998 ± 0.0403
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.473 ± 0.0124
Cross-validation details (10-fold Crossvalidation)
Number of instances
891
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4223 ± 0.087
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4863 ± 0.0129
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.447 ± 0.0464
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9191 ± 0.0995
Cross-validation details (10-fold Crossvalidation)