Run
10417143

Run 10417143

Task 59 (Supervised Classification) iris Uploaded 16-10-2019 by Andreas Mueller
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  • openml-python Sklearn_0.22.dev0.
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Flow

sklearn.tree.tree.DecisionTreeClassifier(51)A decision tree classifier.
sklearn.tree.tree.DecisionTreeClassifier(51)_ccp_alpha0.0
sklearn.tree.tree.DecisionTreeClassifier(51)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(51)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(51)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(51)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(51)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(51)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(51)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(51)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(51)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(51)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(51)_presort"deprecated"
sklearn.tree.tree.DecisionTreeClassifier(51)_random_state17165
sklearn.tree.tree.DecisionTreeClassifier(51)_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
0.97 ± 0.035
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.96 ± 0.0468
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.94 ± 0.0699
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.9452 ± 0.0638
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0267 ± 0.0311
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.96 ± 0.0441
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.96 ± 0.0466
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.96 ± 0.0466
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.06 ± 0.0699
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1633 ± 0.1231
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3464 ± 0.2611
Cross-validation details (10-fold Crossvalidation)