Run
10559842

Run 10559842

Task 59 (Supervised Classification) iris Uploaded 25-03-2021 by Pieter Gijsbers
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.tree._classes.DecisionTreeClassifier(15)A decision tree classifier.
sklearn.tree._classes.DecisionTreeClassifier(15)_ccp_alpha0.0
sklearn.tree._classes.DecisionTreeClassifier(15)_class_weightnull
sklearn.tree._classes.DecisionTreeClassifier(15)_criterion"gini"
sklearn.tree._classes.DecisionTreeClassifier(15)_max_depthnull
sklearn.tree._classes.DecisionTreeClassifier(15)_max_featuresnull
sklearn.tree._classes.DecisionTreeClassifier(15)_max_leaf_nodesnull
sklearn.tree._classes.DecisionTreeClassifier(15)_min_impurity_decrease0.0
sklearn.tree._classes.DecisionTreeClassifier(15)_min_impurity_splitnull
sklearn.tree._classes.DecisionTreeClassifier(15)_min_samples_leaf1
sklearn.tree._classes.DecisionTreeClassifier(15)_min_samples_split2
sklearn.tree._classes.DecisionTreeClassifier(15)_min_weight_fraction_leaf0.0
sklearn.tree._classes.DecisionTreeClassifier(15)_presort"deprecated"
` for details">sklearn.tree._classes.DecisionTreeClassifier(15)_random_state50716
sklearn.tree._classes.DecisionTreeClassifier(15)_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
0.965 ± 0.0412
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9533 ± 0.056
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.93 ± 0.0823
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.9361 ± 0.0751
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0311 ± 0.0366
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.9533 ± 0.0549
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9534 ± 0.0477
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9533 ± 0.0549
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.07 ± 0.0823
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1764 ± 0.1334
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3742 ± 0.283
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.9533 ± 0.0549
Cross-validation details (10-fold Crossvalidation)