Run
10398516

Run 10398516

Task 146825 (Supervised Classification) Fashion-MNIST Uploaded 10-09-2019 by Sila Guler
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Flow

sklearn.tree.tree.ExtraTreeClassifier(26)Automatically created scikit-learn flow.
sklearn.tree.tree.ExtraTreeClassifier(26)_class_weightnull
sklearn.tree.tree.ExtraTreeClassifier(26)_criterion"gini"
sklearn.tree.tree.ExtraTreeClassifier(26)_max_depthnull
sklearn.tree.tree.ExtraTreeClassifier(26)_max_features"auto"
sklearn.tree.tree.ExtraTreeClassifier(26)_max_leaf_nodesnull
sklearn.tree.tree.ExtraTreeClassifier(26)_min_impurity_decrease0.0
sklearn.tree.tree.ExtraTreeClassifier(26)_min_impurity_splitnull
sklearn.tree.tree.ExtraTreeClassifier(26)_min_samples_leaf1
sklearn.tree.tree.ExtraTreeClassifier(26)_min_samples_split2
sklearn.tree.tree.ExtraTreeClassifier(26)_min_weight_fraction_leaf0.0
sklearn.tree.tree.ExtraTreeClassifier(26)_random_state54482
sklearn.tree.tree.ExtraTreeClassifier(26)_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 ± 0.0024
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7619 ± 0.0041
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7354 ± 0.0048
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.751 ± 0.0045
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0476 ± 0.0009
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
0.7619 ± 0.004
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7619 ± 0.0043
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.7619 ± 0.0043
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2646 ± 0.0048
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 ± 0.002
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7274 ± 0.0066
Cross-validation details (10-fold Crossvalidation)