OpenML
1412

Run 1412

Task 115 (Supervised Classification) diabetes Uploaded 11-01-2024 by Continuous Integration
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Flow

TESTTEST84069ea9d5sklearn.tree._classes.DecisionTreeClassifier(1)A decision tree classifier.
TESTTEST84069ea9d5sklearn.tree._classes.DecisionTreeClassifier(1)_ccp_alpha0.0
TESTTEST84069ea9d5sklearn.tree._classes.DecisionTreeClassifier(1)_class_weightnull
TESTTEST84069ea9d5sklearn.tree._classes.DecisionTreeClassifier(1)_criterion"gini"
TESTTEST84069ea9d5sklearn.tree._classes.DecisionTreeClassifier(1)_max_depth5
TESTTEST84069ea9d5sklearn.tree._classes.DecisionTreeClassifier(1)_max_featuresnull
TESTTEST84069ea9d5sklearn.tree._classes.DecisionTreeClassifier(1)_max_leaf_nodesnull
TESTTEST84069ea9d5sklearn.tree._classes.DecisionTreeClassifier(1)_min_impurity_decrease0.0
TESTTEST84069ea9d5sklearn.tree._classes.DecisionTreeClassifier(1)_min_impurity_splitnull
TESTTEST84069ea9d5sklearn.tree._classes.DecisionTreeClassifier(1)_min_samples_leaf1
TESTTEST84069ea9d5sklearn.tree._classes.DecisionTreeClassifier(1)_min_samples_split3
TESTTEST84069ea9d5sklearn.tree._classes.DecisionTreeClassifier(1)_min_weight_fraction_leaf0.0
TESTTEST84069ea9d5sklearn.tree._classes.DecisionTreeClassifier(1)_presort"deprecated"
` for details">TESTTEST84069ea9d5sklearn.tree._classes.DecisionTreeClassifier(1)_random_state1
TESTTEST84069ea9d5sklearn.tree._classes.DecisionTreeClassifier(1)_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.

18 Evaluation measures

Area under ROC curve
0.8014 ± 0.0481
Per class
F measure
0.7448 ± 0.0297
Per class
Kappa
0.4317 ± 0.071
KB relative information score
0.3586 ± 0.0627
Mean absolute error
0.2907 ± 0.0271
Mean prior absolute error
0.4545 ± 0.0011
Weighted recall
0.7487 ± 0.0253
Number of instances
768
Per class
Precision
0.7434 ± 0.0259
Per class
Predictive accuracy
0.7487 ± 0.0253
Prior entropy
0.9331 ± 0.0032
Relative absolute error
0.6396 ± 0.0601
Root mean prior squared error
0.4766 ± 0.0011
Root mean squared error
0.4208 ± 0.0245
Root relative squared error
0.8828 ± 0.0526
Unweighted recall
0.71 ± 0.0411