Run
7933797

Run 7933797

Task 10103 (Supervised Classification) volcanoes-a1 Uploaded 26-09-2017 by Nityanand Panpalia
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Flow

sklearn.neighbors.classification.KNeighborsClassifier(13)Automatically created scikit-learn flow.
sklearn.neighbors.classification.KNeighborsClassifier(13)_algorithm"auto"
sklearn.neighbors.classification.KNeighborsClassifier(13)_leaf_size30
sklearn.neighbors.classification.KNeighborsClassifier(13)_metric"minkowski"
sklearn.neighbors.classification.KNeighborsClassifier(13)_metric_paramsnull
sklearn.neighbors.classification.KNeighborsClassifier(13)_n_jobs-1
sklearn.neighbors.classification.KNeighborsClassifier(13)_n_neighbors21
sklearn.neighbors.classification.KNeighborsClassifier(13)_p2
sklearn.neighbors.classification.KNeighborsClassifier(13)_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.

15 Evaluation measures

Area under ROC curve
0.7325 ± 0.0257
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-382.2387 ± 19.8901
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.065 ± 0.0016
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0699 ± 0.0007
Cross-validation details (10-fold Crossvalidation)
Number of instances
3252
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9077 ± 0.002
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6323
Cross-validation details (10-fold Crossvalidation)
Recall
0.9077 ± 0.002
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9291 ± 0.023
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1864 ± 0.0018
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1835 ± 0.0029
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9844 ± 0.0103
Cross-validation details (10-fold Crossvalidation)