Run
10154575

Run 10154575

Task 45 (Supervised Classification) splice Uploaded 06-02-2019 by Sarim Zafar
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,decisi ontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(2)Automatically created scikit-learn flow.
sklearn.tree.tree.DecisionTreeClassifier(33)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(33)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(33)_max_depth4
sklearn.tree.tree.DecisionTreeClassifier(33)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(33)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(33)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(33)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(33)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(33)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(33)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(33)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(33)_random_state60416
sklearn.tree.tree.DecisionTreeClassifier(33)_splitter"best"
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(2)_memorynull
sklearn.impute.SimpleImputer(7)_copytrue
sklearn.impute.SimpleImputer(7)_fill_valuenull
sklearn.impute.SimpleImputer(7)_missing_valuesNaN
sklearn.impute.SimpleImputer(7)_strategy"mean"
sklearn.impute.SimpleImputer(7)_verbose0

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
0.9741 ± 0.0073
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9125 ± 0.0201
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.859 ± 0.0317
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2657.7772 ± 5.6875
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0838 ± 0.008
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4101 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Number of instances
3190
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9181 ± 0.0178
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9116 ± 0.0203
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.4804
Cross-validation details (10-fold Crossvalidation)
Recall
0.9116 ± 0.0203
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2044 ± 0.0194
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4528 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2061 ± 0.0177
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4551 ± 0.039
Cross-validation details (10-fold Crossvalidation)