Run
7809450

Run 7809450

Task 37 (Supervised Classification) diabetes Uploaded 09-09-2017 by Benjamin Strang
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer, estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)Automatically created scikit-learn flow.
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_memorynull
sklearn.preprocessing.imputation.Imputer(7)_axis0
sklearn.preprocessing.imputation.Imputer(7)_copytrue
sklearn.preprocessing.imputation.Imputer(7)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(7)_strategy"mean"
sklearn.preprocessing.imputation.Imputer(7)_verbose0
sklearn.tree.tree.DecisionTreeClassifier(13)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(13)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(13)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(13)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(13)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(13)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(13)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(13)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(13)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(13)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(13)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(13)_random_state32626
sklearn.tree.tree.DecisionTreeClassifier(13)_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
0.6579 ± 0.0481
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.688 ± 0.0473
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3146 ± 0.1001
Cross-validation details (10-fold Crossvalidation)
KB relative information score
218.2093 ± 8.823
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3125 ± 0.0496
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4545 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6886 ± 0.0461
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6875 ± 0.0496
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.6875 ± 0.0496
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6876 ± 0.1094
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.559 ± 0.0446
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1728 ± 0.0941
Cross-validation details (10-fold Crossvalidation)