Run
10559871

Run 10559871

Task 6 (Supervised Classification) letter Uploaded 26-03-2021 by Tan Zheng
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  • openml-python Sklearn_0.23.2. study_273
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Flow

sklearn.tree._classes.DecisionTreeClassifier(12)A decision tree classifier.
sklearn.tree._classes.DecisionTreeClassifier(12)_ccp_alpha0.0
sklearn.tree._classes.DecisionTreeClassifier(12)_class_weightnull
sklearn.tree._classes.DecisionTreeClassifier(12)_criterion"gini"
sklearn.tree._classes.DecisionTreeClassifier(12)_max_depthnull
sklearn.tree._classes.DecisionTreeClassifier(12)_max_featuresnull
sklearn.tree._classes.DecisionTreeClassifier(12)_max_leaf_nodesnull
sklearn.tree._classes.DecisionTreeClassifier(12)_min_impurity_decrease0.0
sklearn.tree._classes.DecisionTreeClassifier(12)_min_impurity_splitnull
sklearn.tree._classes.DecisionTreeClassifier(12)_min_samples_leaf1
sklearn.tree._classes.DecisionTreeClassifier(12)_min_samples_split2
sklearn.tree._classes.DecisionTreeClassifier(12)_min_weight_fraction_leaf0.0
sklearn.tree._classes.DecisionTreeClassifier(12)_presort"deprecated"
` for details">sklearn.tree._classes.DecisionTreeClassifier(12)_random_state60117
sklearn.tree._classes.DecisionTreeClassifier(12)_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
0.9378 ± 0.0026
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8805 ± 0.0051
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8757 ± 0.0053
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.8789 ± 0.0051
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0092 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.074 ± 0
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.8805 ± 0.0051
Cross-validation details (10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8807 ± 0.0052
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8805 ± 0.0051
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.6998 ± 0
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1243 ± 0.0053
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1923 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0959 ± 0.002
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4987 ± 0.0105
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.8802 ± 0.0049
Cross-validation details (10-fold Crossvalidation)