訓練データの生成モデル
\(
\begin{align}
f'(\boldsymbol{x}) &= \boldsymbol{w}' \cdot \boldsymbol{\phi}' (\boldsymbol{x}) \\
&= \sum_{i = 0}^{2} w'_i \phi' _i (\boldsymbol{x}) \\
y_{data} &= \operatorname{sgn} \left(f'(\boldsymbol{x}_{data})\right)
\end{align}
\)
\(
\begin{align}
D &= \{(\boldsymbol{x}_{data}^{(i)}, y_{data}^{(i)})\}_{i=0, \cdots, N-1} \\
\boldsymbol{w}' &= (w'_0, w'_1, w'_2) \\
\boldsymbol{x} &= (x_1, x_2) \\
\boldsymbol{\phi}'(\boldsymbol{x}) &= (1, x_1, x_2) \\
\end{align}
\)