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JKISeason3-14

@obito_od#Zassou.syk#KD勉強会JKISeason3-14
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VersionV1.0.0Latest, created on 
Aug 18, 2024 5:36 PM
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Forecasting Avocado Prices
Challenge 14


Level: Medium

Description: You are a data scientist asked to analyze an avocado dataset by your team. The task at hand is to pick a specific avocado type in the whole of the US and forecast its daily average prices. To do that, you should train, apply, and score an ARIMA model. Do you see any seasonality in the line plot or autocorrelation plots? Do you think a seasonal ARIMA (SARIMA) would perform better? For your model, visualize forecasts and compute scoring metrics.


アボカドの価格予測 チャレンジ14 レベル ミディアム 説明 あなたはアボカドのデータセットの分析をチームから依頼されたデータサイエンティストです。 目の前の課題は、アメリカ全土から特定のアボカドの種類を選び、その日平均価格を予測することです。 そのためには、ARIMAモデルを訓練し、適用し、採点しなければなりません。 折れ線グラフや自己相関グラフに季節性はありますか? 季節性ARIMA(SARIMA)の方が良い結果が出ると思いますか? あなたのモデルについて、予測を可視化し、スコアリング指標を計算してください。
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Used extensions & nodes

Created with KNIME Analytics Platform version 5.3.1
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    KNIME Autoregressive integrated moving average (ARIMA)Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.3.0

    knime
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    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.3.1

    knime
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    KNIME JavaScript ViewsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.3.0

    knime
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    KNIME JavasnippetTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.3.0

    knime
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    KNIME Quick FormsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.3.1

    knime
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    KNIME ViewsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.3.1

    knime
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    Time Series ExtensionUnknown extension

    This is an unpublished or unknown extension.

    KNIME AG, Zurich, Switzerland

    Version 1.0.0

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