Run
10398518

Run 10398518

Task 146825 (Supervised Classification) Fashion-MNIST Uploaded 10-09-2019 by anshal joshi
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Flow

sklearn.tree.tree.ExtraTreeClassifier(27)Automatically created scikit-learn flow.
sklearn.tree.tree.ExtraTreeClassifier(27)_class_weightnull
sklearn.tree.tree.ExtraTreeClassifier(27)_criterion"gini"
sklearn.tree.tree.ExtraTreeClassifier(27)_max_depthnull
sklearn.tree.tree.ExtraTreeClassifier(27)_max_features"auto"
sklearn.tree.tree.ExtraTreeClassifier(27)_max_leaf_nodesnull
sklearn.tree.tree.ExtraTreeClassifier(27)_min_impurity_decrease0.0
sklearn.tree.tree.ExtraTreeClassifier(27)_min_impurity_splitnull
sklearn.tree.tree.ExtraTreeClassifier(27)_min_samples_leaf1
sklearn.tree.tree.ExtraTreeClassifier(27)_min_samples_split2
sklearn.tree.tree.ExtraTreeClassifier(27)_min_weight_fraction_leaf0.0
sklearn.tree.tree.ExtraTreeClassifier(27)_random_state52994
sklearn.tree.tree.ExtraTreeClassifier(27)_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
0.8656 ± 0.0027
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7586 ± 0.0051
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7313 ± 0.0054
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.7471 ± 0.0051
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0484 ± 0.001
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
0.7592 ± 0.0055
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7582 ± 0.0048
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.7582 ± 0.0048
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2687 ± 0.0054
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2199 ± 0.0022
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7331 ± 0.0073
Cross-validation details (10-fold Crossvalidation)