S U T 枝 ................................................................................ 7 183 索引 あ行 か行 さ行 SMOTE (Synthetic Minority Oversampling TEchnique) ................................................................................146 terminal node............................................................ 7 tree diagram .............................................................. 7 Twoing............................................................ 93, 103 under sampling.....................................................145 univariate analysis ................................................... 3 値ラベル.......................................................... 13, 18 アンダーサンプリング ...........................145, 157 インデックス........................................ 29, 65, 114 枝刈り ............................................................ 95, 120 オーバーサンプリング ....................................146 オーバーフィット............................... 11, 95, 120 親ノード.............................................................7, 24 回帰ツリー .............................10, 70, 75, 118, 124 カイ2乗................................................................... 25 カイ2乗検定 ......................................................8, 40 改善度 ............................................................ 94, 119 過学習 ................................................... 95, 120, 146 確信度 ........................................................27, 63, 67 過剰適合............................................... 11, 104, 126 StatsGuild Inc. 仮説検定 ..........................................................39, 40 観測度数 ................................................................ 40 機械学習 ................................................... 1, 92, 146 記述統計 ..........................................................44, 45 期待度数 ................................................................ 40 帰無仮説 ..........................................................39, 40 クロス集計表 ................................... 2, 38, 50, 178 ゲイン...................................... 28, 64, 86, 114, 136 欠損値...........................................8, 42, 73, 97, 122 決定木分析...........................................1, 2, 4, 8, 17 決定係数 ........................................87, 88, 137, 138 検定の多重性 .................................................42, 73 交互作用 ..........................................................5, 118 交差検証 ....................................................... 11, 108 交絡要因 ...................................................................3 子ノード ...................................................................7 誤分類コスト ..................................................... 147 誤分類率 .................................................30, 66, 115 最頻値...............................................................23, 26 実測値.............................................87, 88, 138, 178 質的変数 ...................................................................8 重相関係数.............................................89, 90, 137 従属変数 ...................................................................3 自由度..................................................................... 25 順序尺度 .......................................... 41, 72, 96, 121 順序尺度のTwoing ..................................... 93, 103 シンタックス ...............................55, 67, 168, 175 推測統計 ................................................................ 39 推定誤差 ....................................................... 87, 137 スケール ................................................................ 41 正解率.............................................30, 66, 115, 178
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