Click4Ai

511.

Medium

Time Series Classification

Problem Statement:

Given a time series dataset, classify it into one of two classes (e.g., up-trend or down-trend).

Constraints:

  • Time series data is a 2D array with shape (n_samples, n_features).
  • Features in the time series data are expected to have a normal distribution.

    • Example:

    Suppose we have a time series dataset with two features. We want to classify it into one of two classes (up-trend or down-trend).

    Test Cases

    Test Case 1
    Input: [[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12], [13, 14, 15], [16, 17, 18]]
    Expected: [1, 1, 1, 1, 1, 1]
    Test Case 2
    Input: [[10, 20, 30], [40, 50, 60], [70, 80, 90], [100, 110, 120], [130, 140, 150], [160, 170, 180]]
    Expected: [1, 1, 1, 1, 1, 1]
    + 3 hidden test cases