private void classification_da_work(DataTable data_table)
{
int res_col_index = -1;
res_col_index = getColIndexByColName(data_table, "k-result");
if (res_col_index != -1)
{
data_table.Columns.RemoveAt(res_col_index);
}
data_table.Columns.Add("k-result");
res_col_index = getColIndexByColName(data_table, "k-result");
data_table.Columns[res_col_index].DataType = System.Type.GetType("System.String");
double res_1_123, res_2_134, res_3_124, res_4_123;
for (int RowIndex = 0; RowIndex < data_table.Rows.Count; RowIndex++)
{
if (data_table.Rows[RowIndex].RowState.Equals(DataRowState.Deleted))
{
continue;
}
res_1_123 = Classification.classify_da(classificators.Tables["1_234"], data_table, RowIndex);
res_2_134 = Classification.classify_da(classificators.Tables["2_134"], data_table, RowIndex);
res_3_124 = Classification.classify_da(classificators.Tables["3_124"], data_table, RowIndex);
res_4_123 = Classification.classify_da(classificators.Tables["4_123"], data_table, RowIndex);
int diagnos = 0;
if (res_1_123 > res_2_134 &&
res_1_123 > res_3_124 &&
res_1_123 > res_4_123)
{
diagnos = 1;
}
if (res_2_134 > res_1_123 &&
res_2_134 > res_3_124 &&
res_2_134 > res_4_123)
{
diagnos = 2;
}
if (res_3_124 > res_1_123 &&
res_3_124 > res_2_134 &&
res_3_124 > res_4_123)
{
diagnos = 3;
}
if (res_4_123 > res_1_123 &&
res_4_123 > res_2_134 &&
res_4_123 > res_3_124)
{
diagnos = 4;
}
data_table.Rows[RowIndex].SetField <int>(res_col_index, diagnos);
//Console.WriteLine("{0}: 1={1}, 2={2}, 3={3}, 4={4}, diagnos={5}",
// RowIndex,
// res_1_123,
// res_2_134,
// res_3_124,
// res_4_123,
// diagnos);
}
}
private double classification_da(DataTable data_table)
{
int[] statistic_success = { 0, 0, 0, 0 };
int res_col_index = -1;
res_col_index = getColIndexByColName(data_table, "k-result");
if (res_col_index != -1)
{
data_table.Columns.RemoveAt(res_col_index);
}
data_table.Columns.Add("k-result");
res_col_index = getColIndexByColName(data_table, "k-result");
data_table.Columns[res_col_index].DataType = System.Type.GetType("System.String");
double res_1_123, res_2_134, res_3_124, res_4_123;
for (int RowIndex = 0; RowIndex < data_table.Rows.Count; RowIndex++)
{
if (data_table.Rows[RowIndex].RowState.Equals(DataRowState.Deleted))
{
continue;
}
res_1_123 = Classification.classify_da(classificators.Tables["1_234"], data_table, RowIndex);
res_2_134 = Classification.classify_da(classificators.Tables["2_134"], data_table, RowIndex);
res_3_124 = Classification.classify_da(classificators.Tables["3_124"], data_table, RowIndex);
res_4_123 = Classification.classify_da(classificators.Tables["4_123"], data_table, RowIndex);
int diagnos = 0;
if (res_1_123 > res_2_134 &&
res_1_123 > res_3_124 &&
res_1_123 > res_4_123)
{
diagnos = 1;
}
if (res_2_134 > res_1_123 &&
res_2_134 > res_3_124 &&
res_2_134 > res_4_123)
{
diagnos = 2;
}
if (res_3_124 > res_1_123 &&
res_3_124 > res_2_134 &&
res_3_124 > res_4_123)
{
diagnos = 3;
}
if (res_4_123 > res_1_123 &&
res_4_123 > res_2_134 &&
res_4_123 > res_3_124)
{
diagnos = 4;
}
data_table.Rows[RowIndex].SetField <int>(res_col_index, diagnos);
double true_diagnos = 0;
Classification.getValByRowIndexAndColName(data_table, RowIndex, "k", ref true_diagnos);
int true_diagnos_int = Convert.ToInt16(true_diagnos);
bool isSucces = diagnos == true_diagnos_int;
if (isSucces && true_diagnos_int > 0)
{
statistic_success[true_diagnos_int - 1] += 1;
}
//Console.WriteLine("{0}: 1={1}, 2={2}, 3={3}, 4={4}, diagnos={5}, true_dignos={6} >> {7}",
// RowIndex,
// res_1_123,
// res_2_134,
// res_3_124,
// res_4_123,
// diagnos,
// true_diagnos_int,
// isSucces);
}
modify_col_names(data_table);
double total_success = statistic_success.Sum() / Convert.ToDouble(data_table.Rows.Count);
Console.WriteLine("Total Success = {0}", total_success);
return(total_success);
}
