Run
10160808

Run 10160808

Task 59 (Supervised Classification) iris Uploaded 16-04-2019 by Pieter Gijsbers
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Flow

sklearn.tree.tree.DecisionTreeClassifier(37)Automatically created scikit-learn flow.
sklearn.tree.tree.DecisionTreeClassifier(37)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(37)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(37)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(37)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(37)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(37)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(37)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(37)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(37)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(37)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(37)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(37)_random_state42140
sklearn.tree.tree.DecisionTreeClassifier(37)_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
0.96 ± 0.0394
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9467 ± 0.0536
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.92 ± 0.0789
Cross-validation details (10-fold Crossvalidation)
KB relative information score
139.0474 ± 1.0799
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0356 ± 0.0351
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
0.9467 ± 0.0458
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9467 ± 0.0526
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9467 ± 0.0526
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.08 ± 0.0789
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1886 ± 0.1284
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4 ± 0.2723
Cross-validation details (10-fold Crossvalidation)