Run
10587923

Run 10587923

Task 99 (Learning Curve) glass Uploaded 29-08-2022 by Young Lee
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.neighbors._classification.KNeighborsClassifier(12)Classifier implementing the k-nearest neighbors vote.
sklearn.neighbors._classification.KNeighborsClassifier(12)_algorithm"auto"
sklearn.neighbors._classification.KNeighborsClassifier(12)_leaf_size30
sklearn.neighbors._classification.KNeighborsClassifier(12)_metric"minkowski"
sklearn.neighbors._classification.KNeighborsClassifier(12)_metric_paramsnull
sklearn.neighbors._classification.KNeighborsClassifier(12)_n_jobsnull
sklearn.neighbors._classification.KNeighborsClassifier(12)_n_neighbors5
sklearn.neighbors._classification.KNeighborsClassifier(12)_p2
sklearn.neighbors._classification.KNeighborsClassifier(12)_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
0.8828 ± 0.049
Per class
F measure
0.6573 ± 0.0901
Per class
Kappa
0.5408 ± 0.1165
KB relative information score
0.5955 ± 0.0759
Mean absolute error
0.1054 ± 0.0178
Mean prior absolute error
0.2116 ± 0.0025
Weighted recall
0.671 ± 0.0844
Number of instances
2140
Per class
Precision
0.6616 ± 0.0889
Per class
Predictive accuracy
0.671 ± 0.0844
Prior entropy
2.1835 ± 0.0748
Relative absolute error
0.4981 ± 0.083
Root mean prior squared error
0.3244 ± 0.0039
Root mean squared error
0.2486 ± 0.0281
Root relative squared error
0.7662 ± 0.0852