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covertype_seed_1_nrows_2000_nclasses_10_ncols_100_stratify_True

covertype_seed_1_nrows_2000_nclasses_10_ncols_100_stratify_True

active ARFF Publicly available Visibility: public Uploaded 17-11-2022 by David Wilson
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Subsampling of the dataset covertype (44159) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self, seed: int, nrows_max: int = 2_000, ncols_max: int = 100, nclasses_max: int = 10, stratified: bool = True, ) -> Dataset: rng = np.random.default_rng(seed) x = self.x y = self.y # Uniformly sample classes = y.unique() if len(classes) > nclasses_max: vcs = y.value_counts() selected_classes = rng.choice( classes, size=nclasses_max, replace=False, p=vcs / sum(vcs), ) # Select the indices where one of these classes is present idxs = y.index[y.isin(classes)] x = x.iloc[idxs] y = y.iloc[idxs] # Uniformly sample columns if required if len(x.columns) > ncols_max: columns_idxs = rng.choice( list(range(len(x.columns))), size=ncols_max, replace=False ) sorted_column_idxs = sorted(columns_idxs) selected_columns = list(x.columns[sorted_column_idxs]) x = x[selected_columns] else: sorted_column_idxs = list(range(len(x.columns))) if len(x) > nrows_max: # Stratify accordingly target_name = y.name data = pd.concat((x, y), axis="columns") _, subset = train_test_split( data, test_size=nrows_max, stratify=data[target_name], shuffle=True, random_state=seed, ) x = subset.drop(target_name, axis="columns") y = subset[target_name] # We need to convert categorical columns to string for openml categorical_mask = [self.categorical_mask[i] for i in sorted_column_idxs] columns = list(x.columns) return Dataset( # Technically this is not the same but it's where it was derived from dataset=self.dataset, x=x, y=y, categorical_mask=categorical_mask, columns=columns, ) ```

55 features

class (target)nominal2 unique values
0 missing
Soil_Type15nominal1 unique values
0 missing
Soil_Type14nominal1 unique values
0 missing
Soil_Type16nominal2 unique values
0 missing
Soil_Type17nominal2 unique values
0 missing
Soil_Type18nominal2 unique values
0 missing
Soil_Type19nominal2 unique values
0 missing
Soil_Type20nominal2 unique values
0 missing
Soil_Type21nominal2 unique values
0 missing
Soil_Type22nominal2 unique values
0 missing
Soil_Type23nominal2 unique values
0 missing
Soil_Type24nominal2 unique values
0 missing
Soil_Type25nominal2 unique values
0 missing
Soil_Type26nominal2 unique values
0 missing
Soil_Type27nominal2 unique values
0 missing
Soil_Type28nominal2 unique values
0 missing
Soil_Type29nominal2 unique values
0 missing
Soil_Type30nominal2 unique values
0 missing
Soil_Type31nominal2 unique values
0 missing
Soil_Type32nominal2 unique values
0 missing
Soil_Type33nominal2 unique values
0 missing
Soil_Type34nominal2 unique values
0 missing
Soil_Type35nominal2 unique values
0 missing
Soil_Type36nominal1 unique values
0 missing
Soil_Type37nominal1 unique values
0 missing
Soil_Type38nominal2 unique values
0 missing
Soil_Type39nominal2 unique values
0 missing
Soil_Type40nominal2 unique values
0 missing
Soil_Type1nominal1 unique values
0 missing
Aspectnumeric352 unique values
0 missing
Slopenumeric41 unique values
0 missing
Horizontal_Distance_To_Hydrologynumeric237 unique values
0 missing
Vertical_Distance_To_Hydrologynumeric268 unique values
0 missing
Horizontal_Distance_To_Roadwaysnumeric1474 unique values
0 missing
Hillshade_9amnumeric127 unique values
0 missing
Hillshade_Noonnumeric98 unique values
0 missing
Hillshade_3pmnumeric191 unique values
0 missing
Horizontal_Distance_To_Fire_Pointsnumeric1335 unique values
0 missing
Wilderness_Area1nominal2 unique values
0 missing
Wilderness_Area2nominal2 unique values
0 missing
Wilderness_Area3nominal2 unique values
0 missing
Wilderness_Area4nominal2 unique values
0 missing
Elevationnumeric750 unique values
0 missing
Soil_Type2nominal2 unique values
0 missing
Soil_Type3nominal2 unique values
0 missing
Soil_Type4nominal2 unique values
0 missing
Soil_Type5nominal1 unique values
0 missing
Soil_Type6nominal2 unique values
0 missing
Soil_Type7nominal1 unique values
0 missing
Soil_Type8nominal2 unique values
0 missing
Soil_Type9nominal2 unique values
0 missing
Soil_Type10nominal2 unique values
0 missing
Soil_Type11nominal2 unique values
0 missing
Soil_Type12nominal2 unique values
0 missing
Soil_Type13nominal2 unique values
0 missing
Show all 55 features

19 properties

NumberOfInstances
2000
Number of instances (rows) of the dataset.
NumberOfFeatures
55
Number of attributes (columns) of the dataset.
NumberOfClasses
2
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
10
Number of numeric attributes.
NumberOfSymbolicFeatures
45
Number of nominal attributes.
PercentageOfSymbolicFeatures
81.82
Percentage of nominal attributes.
AutoCorrelation
0.51
Average class difference between consecutive instances.
PercentageOfNumericFeatures
18.18
Percentage of numeric attributes.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfBinaryFeatures
72.73
Percentage of binary attributes.
NumberOfBinaryFeatures
40
Number of binary attributes.
MinorityClassSize
1000
Number of instances belonging to the least frequent class.
MinorityClassPercentage
50
Percentage of instances belonging to the least frequent class.
MajorityClassSize
1000
Number of instances belonging to the most frequent class.
MajorityClassPercentage
50
Percentage of instances belonging to the most frequent class.
Dimensionality
0.03
Number of attributes divided by the number of instances.
Show all 19 properties

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