System.InvalidOperationException: 'All instances skipped due to missing features.' Is the error coming from the dataset or the code?

I'm trying to learn ML.Net and C# for a school problem, tried to find similar questions but none of them solved my problem.

How can I fix this problem?

Is the error coming from the dataset or the code?

class ML_BankModel
    {
        static readonly string _dataPath = Path.Combine(Environment.CurrentDirectory, "BankDataSet", "Churn_Modelling.csv");
        static readonly string _modelPath = Path.Combine(Environment.CurrentDirectory, "BankDataSet", "Churn_Modelling.csv");
        static void Main(string[] args)
        {
            var mlContext = new MLContext();

            var trainData = mlContext.Data.LoadFromTextFile<AccountBankModel>(path: _dataPath,
                separatorChar: ',',
                hasHeader: true
                );

            var estimator = mlContext.Transforms.Conversion.ConvertType(outputColumnName: "Label", inputColumnName: "Target", DataKind.Boolean)
                .Append(mlContext.Transforms.Categorical.OneHotEncoding(outputColumnName: "GeographyEncoded", inputColumnName: "Geography"))
                .Append(mlContext.Transforms.Categorical.OneHotEncoding(outputColumnName: "GenderEncoded", inputColumnName: "Gender"))
                .Append(mlContext.BinaryClassification.Trainers.FastTree())
                .Append(mlContext.Transforms.Conversion.ConvertType(outputColumnName: "PredictedLabel", inputColumnName: "Label", DataKind.Boolean));

            var dataPreview = trainData.Preview();

            var transformationPreview = estimator.Preview(trainData);
        }

class AccountBankModel
    {
        [LoadColumn(2)]
        public int CustomerId { get; set; }

        [LoadColumn(4)]
        public float CreditScore { get; set; }

        [LoadColumn(5)]
        public string Geography { get; set; }
        
        [LoadColumn(6)]
        public string Gender { get; set; }

        [LoadColumn(7, 12), ColumnName("Features")]
        public float FeatureVector { get; set; }

        [LoadColumn(13)]
        public float Target { get; set; }
    }