Run
9864514

Run 9864514

Task 218 (Supervised Classification) covertype Uploaded 05-12-2018 by Hugo Spee
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  • auto-jupyter-notebook openml-python Sklearn_0.19.1.
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Flow

sklearn.tree.tree.DecisionTreeClassifier(22)Automatically created scikit-learn flow.
sklearn.tree.tree.DecisionTreeClassifier(22)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(22)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(22)_max_depthnull
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_state49190
sklearn.tree.tree.DecisionTreeClassifier(22)_splitter"best"

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
0.9543 ± 0.0007
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9433 ± 0.0009
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.909 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
KB relative information score
529094.857 ± 90.519
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0162 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.178 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
581012
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9433 ± 0.0009
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9433 ± 0.0009
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.7387
Cross-validation details (10-fold Crossvalidation)
Recall
0.9433 ± 0.0009
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.091 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2984 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1273 ± 0.001
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4265 ± 0.0034
Cross-validation details (10-fold Crossvalidation)