Run
10559981

Run 10559981

Task 9981 (Supervised Classification) cnae-9 Uploaded 13-08-2021 by Sergey Redyuk
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.tree.tree.DecisionTreeClassifier(65)A decision tree classifier.
sklearn.tree.tree.DecisionTreeClassifier(65)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(65)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(65)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(65)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(65)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(65)_min_impurity_split1e-07
sklearn.tree.tree.DecisionTreeClassifier(65)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(65)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(65)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(65)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(65)_random_state22174
sklearn.tree.tree.DecisionTreeClassifier(65)_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
0.9208 ± 0.0134
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8601 ± 0.0243
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8417 ± 0.0268
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.8517 ± 0.0251
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0313 ± 0.0053
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1975
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.8593 ± 0.0238
Cross-validation details (10-fold Crossvalidation)
Number of instances
1080
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8617 ± 0.0239
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8593 ± 0.0238
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.1699
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1583 ± 0.0268
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3143
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1768 ± 0.015
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5627 ± 0.0477
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.8593 ± 0.0238
Cross-validation details (10-fold Crossvalidation)