Run
10154818

Run 10154818

Task 10 (Supervised Classification) lymph Uploaded 14-02-2019 by Maja Franz
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Flow

sklearn.tree.tree.ExtraTreeClassifier(21)Automatically created scikit-learn flow.
sklearn.tree.tree.ExtraTreeClassifier(21)_class_weightnull
sklearn.tree.tree.ExtraTreeClassifier(21)_criterion"gini"
sklearn.tree.tree.ExtraTreeClassifier(21)_max_depthnull
sklearn.tree.tree.ExtraTreeClassifier(21)_max_features"auto"
sklearn.tree.tree.ExtraTreeClassifier(21)_max_leaf_nodesnull
sklearn.tree.tree.ExtraTreeClassifier(21)_min_impurity_decrease0.0
sklearn.tree.tree.ExtraTreeClassifier(21)_min_impurity_splitnull
sklearn.tree.tree.ExtraTreeClassifier(21)_min_samples_leaf1
sklearn.tree.tree.ExtraTreeClassifier(21)_min_samples_split2
sklearn.tree.tree.ExtraTreeClassifier(21)_min_weight_fraction_leaf0.0
sklearn.tree.tree.ExtraTreeClassifier(21)_random_state64205
sklearn.tree.tree.ExtraTreeClassifier(21)_splitter"random"

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.

15 Evaluation measures

Area under ROC curve
0.7616 ± 0.105
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5247 ± 0.2093
Cross-validation details (10-fold Crossvalidation)
KB relative information score
73.1963 ± 2.9804
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.125 ± 0.0542
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2677 ± 0.0078
Cross-validation details (10-fold Crossvalidation)
Number of instances
148
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.75 ± 0.1083
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2818
Cross-validation details (10-fold Crossvalidation)
Recall
0.75 ± 0.1083
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4669 ± 0.2025
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3639 ± 0.0108
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3536 ± 0.0759
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9714 ± 0.207
Cross-validation details (10-fold Crossvalidation)