Run
9204289

Run 9204289

Task 168294 (Supervised Classification) EMNIST_Balanced Uploaded 21-07-2018 by Irfan Nur Afif
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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_state40254
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
0.7938 ± 0.0023
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5966 ± 0.0045
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5875 ± 0.0046
Cross-validation details (10-fold Crossvalidation)
KB relative information score
78177.2481 ± 59.8832
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0172 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0416
Cross-validation details (10-fold Crossvalidation)
Number of instances
131600
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5971 ± 0.0044
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5963 ± 0.0045
Cross-validation details (10-fold Crossvalidation)
Prior entropy
5.5546
Cross-validation details (10-fold Crossvalidation)
Recall
0.5963 ± 0.0045
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4125 ± 0.0046
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1443
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1311 ± 0.0007
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9083 ± 0.0051
Cross-validation details (10-fold Crossvalidation)