Run
10559792

Run 10559792

Task 31 (Supervised Classification) credit-g Uploaded 09-03-2021 by Prabhant Singh
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Flow

sklearn.tree._classes.DecisionTreeClassifier(13)A decision tree classifier.
sklearn.tree._classes.DecisionTreeClassifier(13)_ccp_alpha0.0
sklearn.tree._classes.DecisionTreeClassifier(13)_class_weightnull
sklearn.tree._classes.DecisionTreeClassifier(13)_criterion"gini"
sklearn.tree._classes.DecisionTreeClassifier(13)_max_depth2
sklearn.tree._classes.DecisionTreeClassifier(13)_max_featuresnull
sklearn.tree._classes.DecisionTreeClassifier(13)_max_leaf_nodesnull
sklearn.tree._classes.DecisionTreeClassifier(13)_min_impurity_decrease0.0
sklearn.tree._classes.DecisionTreeClassifier(13)_min_impurity_splitnull
sklearn.tree._classes.DecisionTreeClassifier(13)_min_samples_leaf1
sklearn.tree._classes.DecisionTreeClassifier(13)_min_samples_split2
sklearn.tree._classes.DecisionTreeClassifier(13)_min_weight_fraction_leaf0.0
` for details">sklearn.tree._classes.DecisionTreeClassifier(13)_random_state0
sklearn.tree._classes.DecisionTreeClassifier(13)_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
0.2918 ± 0.0363
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2486 ± 0.0414
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.1806 ± 0.0617
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.6847 ± 0.0295
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.6418 ± 0.0125
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.277 ± 0.0245
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.382 ± 0.0502
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.277 ± 0.0245
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8813
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.5275 ± 0.0297
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6819 ± 0.0134
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.4879 ± 0.0291
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.3683 ± 0.04
Cross-validation details (10-fold Crossvalidation)