Run
10154343

Run 10154343

Task 146825 (Supervised Classification) Fashion-MNIST Uploaded 31-01-2019 by Michael Caelers
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Flow

sklearn.tree.tree.ExtraTreeClassifier(23)Automatically created scikit-learn flow.
sklearn.tree.tree.ExtraTreeClassifier(23)_class_weightnull
sklearn.tree.tree.ExtraTreeClassifier(23)_criterion"gini"
sklearn.tree.tree.ExtraTreeClassifier(23)_max_depthnull
sklearn.tree.tree.ExtraTreeClassifier(23)_max_features"auto"
sklearn.tree.tree.ExtraTreeClassifier(23)_max_leaf_nodesnull
sklearn.tree.tree.ExtraTreeClassifier(23)_min_impurity_decrease0.0
sklearn.tree.tree.ExtraTreeClassifier(23)_min_impurity_splitnull
sklearn.tree.tree.ExtraTreeClassifier(23)_min_samples_leaf1
sklearn.tree.tree.ExtraTreeClassifier(23)_min_samples_split2
sklearn.tree.tree.ExtraTreeClassifier(23)_min_weight_fraction_leaf0.0
sklearn.tree.tree.ExtraTreeClassifier(23)_random_state63643
sklearn.tree.tree.ExtraTreeClassifier(23)_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.

17 Evaluation measures

Area under ROC curve
0.8677 ± 0.0036
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7622 ± 0.0066
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7354 ± 0.0071
Cross-validation details (10-fold Crossvalidation)
KB relative information score
52568.2684 ± 47.059
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0476 ± 0.0013
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
70000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7627 ± 0.0068
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7619 ± 0.0064
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.7619 ± 0.0064
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2646 ± 0.0071
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2182 ± 0.003
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7274 ± 0.0098
Cross-validation details (10-fold Crossvalidation)