Data
Price_Trend_Classification

Price_Trend_Classification

active ARFF CC BY 4.0 Visibility: public Uploaded 21-11-2024 by Yayun Li
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Apple Price Trend prediction. The target variable 'target' is a categorical variable with 3 classes: bearish (0), bullish (1), and neutral (2). This is a multiclass classification task.

23 features

target (target)numeric3 unique values
0 missing
opennumeric2377 unique values
0 missing
highnumeric2368 unique values
0 missing
lownumeric2385 unique values
0 missing
closenumeric2368 unique values
0 missing
volumenumeric2508 unique values
0 missing
rsi_7numeric2510 unique values
0 missing
rsi_14numeric2510 unique values
0 missing
cci_7numeric2516 unique values
0 missing
cci_14numeric2516 unique values
0 missing
sma_50numeric2516 unique values
0 missing
ema_50numeric2516 unique values
0 missing
sma_100numeric2516 unique values
0 missing
ema_100numeric2516 unique values
0 missing
macdnumeric2516 unique values
0 missing
bollingernumeric2516 unique values
0 missing
truerangenumeric1975 unique values
0 missing
atr_7numeric2516 unique values
0 missing
atr_14numeric2516 unique values
0 missing
date_yearnumeric10 unique values
0 missing
date_monthnumeric12 unique values
0 missing
date_daynumeric31 unique values
0 missing
date_weekdaynumeric5 unique values
0 missing
Show all 23 features

19 properties

NumberOfInstances
2516
Number of instances (rows) of the dataset.
NumberOfFeatures
23
Number of attributes (columns) of the dataset.
NumberOfClasses
0
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
23
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
AutoCorrelation
0.17
Average class difference between consecutive instances.
PercentageOfMissingValues
0
Percentage of missing values.
Dimensionality
0.01
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
100
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.
Show all 19 properties

2 tasks

Supervised Classification on Price_Trend_Classification
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: bad_flag
Supervised Classification on Price_Trend_Classification
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: target
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