Run
9199839

Run 9199839

Task 146825 (Supervised Classification) Fashion-MNIST Uploaded 03-05-2018 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(imputation=sklearn.preprocessing.imputation.Imput er,estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.imputation.Imputer(20)_axis0
sklearn.preprocessing.imputation.Imputer(20)_copytrue
sklearn.preprocessing.imputation.Imputer(20)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(20)_strategy"median"
sklearn.preprocessing.imputation.Imputer(20)_verbose0
sklearn.tree.tree.DecisionTreeClassifier(22)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(22)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(22)_max_depth1
sklearn.tree.tree.DecisionTreeClassifier(22)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(22)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(22)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(22)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(22)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(22)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(22)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(22)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(22)_random_state1
sklearn.tree.tree.DecisionTreeClassifier(22)_splitter"best"
sklearn.pipeline.Pipeline(imputation=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_memorynull

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
0.709 ± 0.0012
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1103 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
KB relative information score
16303.817 ± 3.6551
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1637 ± 0.0001
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)
Predictive accuracy
0.1992 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.1992 ± 0.0003
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9095 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2861 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9537 ± 0.0004
Cross-validation details (10-fold Crossvalidation)