Run
9864501

Run 9864501

Task 218 (Supervised Classification) covertype Uploaded 30-11-2018 by Hugo Spee
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • auto-jupyter-notebook openml-python Sklearn_0.19.1.
Issue #Downvotes for this reason By


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_state27424
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
0.9541 ± 0.0008
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.943 ± 0.0011
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9085 ± 0.0017
Cross-validation details (10-fold Crossvalidation)
KB relative information score
528872.0005 ± 112.517
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0163 ± 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
0.943 ± 0.0011
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.943 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.7387
Cross-validation details (10-fold Crossvalidation)
Recall
0.943 ± 0.0011
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0915 ± 0.0017
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2984 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1276 ± 0.0012
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4277 ± 0.004
Cross-validation details (10-fold Crossvalidation)