Run
10559996

Run 10559996

Task 14 (Supervised Classification) mfeat-fourier 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_state12047
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
0.8608 ± 0.0172
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7509 ± 0.0295
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7217 ± 0.0344
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.738 ± 0.0324
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0501 ± 0.0062
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.7495 ± 0.031
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7526 ± 0.0288
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7495 ± 0.031
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2783 ± 0.0344
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2238 ± 0.0139
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7461 ± 0.0463
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.7495 ± 0.031
Cross-validation details (10-fold Crossvalidation)