Your dataset is accompanied by the metadata that you see here. Metadata is information about your data, and in this case, descriptions of your variables. Available liquidity represents the cash plus available lines of credit, which is your target variable in millions of dollars. SP score is the S&P credit rating converted into continuous values. Market cap is the current market capitalization in millions of dollars. Total debt is the current total debt in millions of dollars. LTM CapEx represents the last 12 months of capital expenditures in millions of dollars. LTM EBITDA represents the last 12 months of adjusted earnings. LTMFCF represents the last 12 months of free cash flow. And then finally, LTM revenue represents the last 12 months of revenue. The target variable you're trying to predict is available liquidity, and the other input features listed are believed to have real relationships to that target variable. Other than the S&P credit rating, all amounts represent millions of dollars.