Run
8883122

Run 8883122

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 11-03-2018 by Bhoomica Nataraja
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Flow

sklearn.tree.tree.DecisionTreeClassifier(18)Automatically created scikit-learn flow.
sklearn.tree.tree.DecisionTreeClassifier(18)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(18)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(18)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(18)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(18)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(18)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(18)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(18)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(18)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(18)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(18)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(18)_random_state30792
sklearn.tree.tree.DecisionTreeClassifier(18)_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
0.587 ± 0.0037
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2567 ± 0.0064
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.174 ± 0.0073
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4450.5917 ± 13.7305
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1487 ± 0.0013
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.2569 ± 0.0064
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2566 ± 0.0066
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.2566 ± 0.0066
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.826 ± 0.0073
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3856 ± 0.0017
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2853 ± 0.0057
Cross-validation details (10-fold Crossvalidation)