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Evaluating Performance of Regression Machine Learning Models Using Multiple Error Metrics in Azure Machine Learning Studio
Botchkarev, Alexei - 2018
Data driven companies effectively use regression machine learning methods for making predictions in many sectors. Cloud …-based Azure Machine Learning Studio (MLS) has a potential of expediting machine learning experiments by offering a convenient and … powerful integrated development environment. The process of evaluating machine learning models in Azure MLS has certain …
Persistent link: https://www.econbiz.de/10012919484
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On the stability of machine learning models : measuring model and outcome variance
Dhar, Vasant; Yu, Haoyuan - In: Journal of investment management : JOIM 18 (2020) 2, pp. 9-22
Persistent link: https://www.econbiz.de/10012588870
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Avoiding an oppressive future of machine learning : a design theory for emancipatory assistants
Kane, Gerald C.; Young, Amber G.; Majchrak, Ann; … - In: MIS quarterly 45 (2021) 1, pp. 371-396
Persistent link: https://www.econbiz.de/10012814902
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Efficient counterfactual learning from bandit feedback
Narita, Yusuke; Yasui, Shota; Yata, Kohei - 2018
Persistent link: https://www.econbiz.de/10011948939
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Evaluating interpretable machine learning predictions for cryptocurrencies
El Majzoub, Ahmad; Rabhi, Fethi A.; Hussain, Walayat - In: Intelligent systems in accounting, finance & management 30 (2023) 3, pp. 137-149
Persistent link: https://www.econbiz.de/10014375320
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Support vector machine learning with an evolutionary engine
Stoean, R.; Preuss, M.; Stoean, C.; El-Darzi, E.; … - In: Journal of the Operational Research Society : OR 60 (2009) 8, pp. 1116-1122
Persistent link: https://www.econbiz.de/10003882064
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Demand estimation with machine learning and model combination
Bajari, Patrick L.; Nekipelov, Denis N.; Ryan, Stephen; … - 2015
Persistent link: https://www.econbiz.de/10010496176
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Prediction of stock market direction : application of machine learning models
Dimingo, Roselyn; Muteba Mwamba, John; Bonga-Bonga, Lumengo - In: Economia internazionale 74 (2021) 4, pp. 499-536
Persistent link: https://www.econbiz.de/10013164505
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Spam review detection using LSTM autoencoder : an unsupervised approach
Saumya, Sunil; Singh, Jyoti Prakash - In: Electronic commerce research 22 (2022) 1, pp. 113-133
Persistent link: https://www.econbiz.de/10013169416
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Predictive market making via machine learning
Haider, Abbas; Wang, Hui; Scotney, Bryan; Hawe, Glenn - In: Operations research forum 3 (2022) 1, pp. 1-21
Persistent link: https://www.econbiz.de/10012819335