Essays about: "overfitting"

Showing result 36 - 40 of 83 essays containing the word overfitting.

  1. 36. Forecasting Production Volume with Multivariate Time-series models : Comparative evaluation of time-series models

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Aita Dazeh; [2021]
    Keywords : ;

    Abstract : One challenge for people working with data science at large industrial companies is that they have to deal with data sets that have a short history or a small dataset size. Unfortunately that causes many machine learning algorithms to lose accuracy and thus not produce any meaningful results. READ MORE

  2. 37. Sequence classification on gamified behavior data from a learning management system : Predicting student outcome using neural networks and Markov chain

    University essay from Högskolan i Skövde/Institutionen för informationsteknologi

    Author : Niclas Elmäng; [2020]
    Keywords : Long Short-term Memory; Convolutional neural network; Markov Chain; Time series Classification; Gamification;

    Abstract : This study has investigated whether it is possible to classify time series data originating from a gamified learning management system. By using the school data provided by the gamification company Insert Coin AB, the aim was to distribute the teacher’s supervision more efficiently among students who are more likely to fail. READ MORE

  3. 38. A Comparative study of data splitting algorithms for machine learning model selection

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Delwende Eliane Birba; [2020]
    Keywords : K-fold; cross-validation; Kennard-Stone algorithm; data splitting; bootstrap; overfitting; SPXY; k-faldig korsvalidering; korsvalidering; Kennard-Stone-algoritm; datapartitionering; bootstrap; överanpassning; SPXY;

    Abstract : Data splitting is commonly used in machine learning to split data into a train, test, or validation set. This approach allows us to find the model hyper-parameter and also estimate the generalization performance. In this research, we conducted a comparative analysis of different data partitioning algorithms on both real and simulated data. READ MORE

  4. 39. Real-time vehicle and pedestrian detection, a data-driven recommendation focusing on safety as a perception to autonomous vehicles

    University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Author : Chippen Vlahija; Ahmed Abdulkader; [2020]
    Keywords : Machine Learning; Object Detection; Autonomous vehicle; Safety; Vehicle and Pedestrians;

    Abstract : Object detection exists in many countries around the world after a recent growing interest for autonomous vehicles in the last decade. This paper focuses on a vision-based approach focusing on vehicles and pedestrians detection in real-time as a perception for autonomous vehicles, using a convolutional neural network for object detection. READ MORE

  5. 40. A Performance Comparison of Auto-Generated GraphQL Server Implementations

    University essay from Linköpings universitet/Tekniska fakulteten; Linköpings universitet/Institutionen för datavetenskap

    Author : Markus Larsson; David Ångström; [2020]
    Keywords : GraphQL; PostGraphile; Hasura; Databases; auto-generated; Server Translation Tools; LinGBM; Linköping GraphQL Benchmark; LiU; Bachelor Thesis; Thesis; Benchmark; Performance; Query Execution Time; Query Response Time; Throughput;

    Abstract : As databases and traffic over the internet is becoming larger by the day, the performance of sending information has become a target of great importance. In past years, other software architectural styles such as REST have been used as it is a reliable framework and works really well when one has a dependable internet connection. READ MORE