Run
9199838

Run 9199838

Task 146824 (Supervised Classification) mfeat-pixel Uploaded 03-05-2018 by Jan van Rijn
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Flow

sklearn.pipeline.Pipeline(imputation=sklearn.preprocessing.imputation.Imput er,estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.imputation.Imputer(20)_axis0
sklearn.preprocessing.imputation.Imputer(20)_copytrue
sklearn.preprocessing.imputation.Imputer(20)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(20)_strategy"median"
sklearn.preprocessing.imputation.Imputer(20)_verbose0
sklearn.tree.tree.DecisionTreeClassifier(22)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(22)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(22)_max_depth1
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_state1
sklearn.tree.tree.DecisionTreeClassifier(22)_splitter"best"
sklearn.pipeline.Pipeline(imputation=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_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.

15 Evaluation measures

Area under ROC curve
0.7076 ± 0.0109
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1078 ± 0.0047
Cross-validation details (10-fold Crossvalidation)
KB relative information score
459.9378 ± 0.9915
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1661 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.197 ± 0.0042
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.197 ± 0.0042
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9229 ± 0.0031
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2883 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9611 ± 0.0036
Cross-validation details (10-fold Crossvalidation)