You are working on a machine learning model that needs to be trained on a large dataset. The training needs to be cost-effective and should be able to scale horizontally. What combination of GCP services should you consider for this scenario?

*Explanation: * _Dataproc with Preemptible VMs._ For cost-effective and horizontally scalable training of machine learning models on a large dataset, Dataproc with Preemptible VMs is a suitable choice. AI Platform with Preemptible VMs may not provide the same level of cost-effectiveness for large-scale training. Compute Engine with Custom Machine Types may not scale horizontally as required. Kubernetes Engine with TPU nodes could be expensive for large datasets, and BigQuery ML is not designed for large-scale machine learning.*