Run
10587772

Run 10587772

Task 99 (Learning Curve) glass 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.

17 Evaluation measures

Area under ROC curve
0.8631 ± 0.0558
Per class
F measure
0.6895 ± 0.1023
Per class
Kappa
0.5756 ± 0.1197
KB relative information score
0.6277 ± 0.0858
Mean absolute error
0.0947 ± 0.0201
Mean prior absolute error
0.2116 ± 0.0025
Weighted recall
0.6916 ± 0.0872
Number of instances
2140
Per class
Precision
0.6942 ± 0.1076
Per class
Predictive accuracy
0.6916 ± 0.0872
Prior entropy
2.1835 ± 0.0748
Relative absolute error
0.4478 ± 0.0947
Root mean prior squared error
0.3244 ± 0.0039
Root mean squared error
0.2524 ± 0.0327
Root relative squared error
0.7779 ± 0.1006