Run
9204524

Run 9204524

Task 15 (Supervised Classification) breast-w Uploaded 17-09-2018 by Roel Zinkstok
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer, decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(6)Automatically created scikit-learn flow.
sklearn.preprocessing.imputation.Imputer(26)_axis0
sklearn.preprocessing.imputation.Imputer(26)_copytrue
sklearn.preprocessing.imputation.Imputer(26)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(26)_strategy"mean"
sklearn.preprocessing.imputation.Imputer(26)_verbose0
sklearn.tree.tree.DecisionTreeClassifier(27)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(27)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(27)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(27)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(27)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(27)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(27)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(27)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(27)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(27)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(27)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(27)_random_state56044
sklearn.tree.tree.DecisionTreeClassifier(27)_splitter"best"
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(6)_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.

17 Evaluation measures

Area under ROC curve
0.9391 ± 0.0257
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9483 ± 0.0226
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8851 ± 0.0504
Cross-validation details (10-fold Crossvalidation)
KB relative information score
615.6232 ± 3.6059
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0515 ± 0.0225
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4519 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
Number of instances
699
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9484 ± 0.0227
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9485 ± 0.0225
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9297
Cross-validation details (10-fold Crossvalidation)
Recall
0.9485 ± 0.0225
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.114 ± 0.0499
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4753 ± 0.0015
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2269 ± 0.0525
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4775 ± 0.1105
Cross-validation details (10-fold Crossvalidation)