Run
9204270

Run 9204270

Task 3573 (Supervised Classification) mnist_784 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_state64900
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
0.9305 ± 0.0017
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8747 ± 0.0031
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8608 ± 0.0035
Cross-validation details (10-fold Crossvalidation)
KB relative information score
60784.9552 ± 22.7618
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.025 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1799 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
70000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8747 ± 0.003
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8748 ± 0.0031
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3198
Cross-validation details (10-fold Crossvalidation)
Recall
0.8748 ± 0.0031
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1392 ± 0.0035
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1583 ± 0.002
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5276 ± 0.0065
Cross-validation details (10-fold Crossvalidation)