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mlr_knn_rng
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mlr_knn_rng
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Uploaded 22-05-2020 by
Pieter Gijsbers
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Experiment data obtained by running random configurations of the hnsw kNN through mlr on 116 different classification tasks from openml.
13 features
perf.mmce
(target)
numeric
43029 unique values
0 missing
perf.logloss
(target)
numeric
92430 unique values
0 missing
task_id
numeric
116 unique values
0 missing
dataset
string
116 unique values
0 missing
learner
string
1 unique values
0 missing
traintime
numeric
66672 unique values
0 missing
predicttime
numeric
43858 unique values
0 missing
num.impute.selected.cpo
string
3 unique values
0 missing
k
numeric
50 unique values
0 missing
distance
string
3 unique values
0 missing
M
numeric
67 unique values
0 missing
ef
numeric
323 unique values
0 missing
ef_construction
numeric
548 unique values
0 missing
Show all 13 features
19 properties
NumberOfInstances
111753
Number of instances (rows) of the dataset.
NumberOfFeatures
13
Number of attributes (columns) of the dataset.
NumberOfClasses
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
9
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
69.23
Percentage of numeric attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
AutoCorrelation
Average class difference between consecutive instances.
PercentageOfMissingValues
0
Percentage of missing values.
Show all 19 properties
7 tasks
Clustering on mlr_knn_rng
0 runs
- estimation_procedure: 50 times Clustering
Clustering on mlr_knn_rng
0 runs
- estimation_procedure: 50 times Clustering
Clustering on mlr_knn_rng
0 runs
- estimation_procedure: 50 times Clustering
Clustering on mlr_knn_rng
0 runs
- estimation_procedure: 50 times Clustering
Clustering on mlr_knn_rng
0 runs
- estimation_procedure: 50 times Clustering
Clustering on mlr_knn_rng
0 runs
- estimation_procedure: 50 times Clustering
Clustering on mlr_knn_rng
0 runs
- estimation_procedure: 50 times Clustering
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