Run
10587769

Run 10587769

Task 119 (Learning Curve) zoo Uploaded 21-04-2022 by Neha Vinayak
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Flow

sklearn.neighbors._classification.KNeighborsClassifier(9)Classifier implementing the k-nearest neighbors vote.
sklearn.neighbors._classification.KNeighborsClassifier(9)_algorithm"auto"
sklearn.neighbors._classification.KNeighborsClassifier(9)_leaf_size30
sklearn.neighbors._classification.KNeighborsClassifier(9)_metric"minkowski"
sklearn.neighbors._classification.KNeighborsClassifier(9)_metric_paramsnull
sklearn.neighbors._classification.KNeighborsClassifier(9)_n_jobsnull
sklearn.neighbors._classification.KNeighborsClassifier(9)_n_neighbors3
sklearn.neighbors._classification.KNeighborsClassifier(9)_p2
sklearn.neighbors._classification.KNeighborsClassifier(9)_weights"uniform"

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
0.9924 ± 0.0176
Per class
F measure
0.9321 ± 0.0121
Per class
Kappa
0.9253 ± 0.0867
KB relative information score
0.9277 ± 0.0617
Mean absolute error
0.02 ± 0.014
Mean prior absolute error
0.2188 ± 0.0049
Weighted recall
0.9436 ± 0.0659
Number of instances
1010
Per class
Precision
0.9523 ± 0.0068
Per class
Predictive accuracy
0.9436 ± 0.0659
Prior entropy
2.3926 ± 0.137
Relative absolute error
0.0914 ± 0.0631
Root mean prior squared error
0.3294 ± 0.0075
Root mean squared error
0.1073 ± 0.0562
Root relative squared error
0.3256 ± 0.168
Unweighted recall
0.8625 ± 0.0602