Run
10154852

Run 10154852

Task 59 (Supervised Classification) iris Uploaded 26-02-2019 by Pieter Gijsbers
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Flow

sklearn.tree.tree.DecisionTreeClassifier(36)Automatically created scikit-learn flow.
sklearn.tree.tree.DecisionTreeClassifier(36)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(36)_criterion"entropy"
sklearn.tree.tree.DecisionTreeClassifier(36)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(36)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(36)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(36)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(36)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(36)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(36)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(36)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(36)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(36)_random_state3002
sklearn.tree.tree.DecisionTreeClassifier(36)_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.

17 Evaluation measures

Area under ROC curve
0.965 ± 0.0337
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9533 ± 0.0452
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.93 ± 0.0675
Cross-validation details (10-fold Crossvalidation)
KB relative information score
140.4165 ± 0.9241
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0311 ± 0.03
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9534 ± 0.0426
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9533 ± 0.045
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9533 ± 0.045
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.07 ± 0.0675
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 ± 0.1194
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3742 ± 0.2532
Cross-validation details (10-fold Crossvalidation)