Run
10587661

Run 10587661

Task 59 (Supervised Classification) iris Uploaded 11-01-2022 by Pieter Gijsbers
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Flow

sklearn.tree._classes.DecisionTreeClassifier(20)A decision tree classifier.
sklearn.tree._classes.DecisionTreeClassifier(20)_ccp_alpha0.0
sklearn.tree._classes.DecisionTreeClassifier(20)_class_weightnull
sklearn.tree._classes.DecisionTreeClassifier(20)_criterion"gini"
sklearn.tree._classes.DecisionTreeClassifier(20)_max_depthnull
sklearn.tree._classes.DecisionTreeClassifier(20)_max_featuresnull
sklearn.tree._classes.DecisionTreeClassifier(20)_max_leaf_nodesnull
sklearn.tree._classes.DecisionTreeClassifier(20)_min_impurity_decrease0.0
sklearn.tree._classes.DecisionTreeClassifier(20)_min_impurity_splitnull
sklearn.tree._classes.DecisionTreeClassifier(20)_min_samples_leaf1
sklearn.tree._classes.DecisionTreeClassifier(20)_min_samples_split2
sklearn.tree._classes.DecisionTreeClassifier(20)_min_weight_fraction_leaf0.0
` for details">sklearn.tree._classes.DecisionTreeClassifier(20)_random_state23280
sklearn.tree._classes.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.

18 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)
Weighted recall
0.96 ± 0.0466
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)
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)
Unweighted recall
0.96 ± 0.0466
Cross-validation details (10-fold Crossvalidation)