Sökning: "gini impurity"

Hittade 4 uppsatser innehållade orden gini impurity.

1. 1. A Comparative Study on the Effects of Removing the Most Important Feature on Random Forest and Support Vector Machine

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Henrik Åkesson; Hampus Fridlund; [2023]
   Nyckelord :;

   Sammanfattning : Machine learning (ML) for classification is largely regarded as a “black box”, in that it’s difficult to fully understand how the model reached a decision, and how changes to the input affects the output. Therefore, exploring the inner workings of classification models are of interest for expanding the current knowledge base, providing guidelines for choosing a more suitable classification model for a specific problem. LÄS MER

3. 2. A Study on Comparison Websites in the Airline Industry and Using CART Methods to Determine Key Parameters in Flight Search Conversion

   Kandidat-uppsats, KTH/Matematisk statistik

   Författare :Jacob Hansén; Axel Gustafsson; [2019]
   Nyckelord :True positives; true negatives; false positives; false negatives; Classification Trees; Random Forest; SMOTE; ROSE; ROC; AUC; LCC; meta-search engine; Online Travel Agency; Gini impurity index; Sann negativ; sann positiv; falsk positiv; falsk negativ; klassificationsträd; Random Forest; SMOTE; ROSE; ROC; AUC; jämförelsehemsida; resebyrå; Gini koefficient;

   Sammanfattning : This bachelor thesis in applied mathematics and industrial engineering and management aimed to identify relationships between search parameters in flight comparison search engines and the exit conversion rate, while also investigating how the emergence of such comparison search engines has impacted the airline industry. To identify such relationships, several classification models were employed in conjunction with several sampling methods to produce a predictive model using the program R. LÄS MER

4. 3. Maskininlärning som verktyg för att extrahera information om attribut kring bostadsannonser i syfte att maximera försäljningspris

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Lukas Ekeberg; Alexander Fahnehjelm; [2018]
   Nyckelord :correlation; linear regression; decision tree regressor; random forest regressor; gini impurity; pricing; property market; data features; predictive models; machine learning algorithms;

   Sammanfattning : The Swedish real estate market has been digitalized over the past decade with the current practice being to post your real estate advertisement online. A question that has arisen is how a seller can optimize their public listing to maximize the selling premium. LÄS MER

5. 4. A Machine Learning approach to churn prediction in a subscription-based service

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Clas Blank; Tomas Hermansson; [2018]
   Nyckelord :machine learning; churn; subscription; random forest; SVM; neural network; logistic regression; gini impurity; features;

   Sammanfattning : Prenumerationstjänster blir alltmer populära i dagens samhälle. En av nycklarna för att lyckas med en prenumerationsbaserad affärsmodell är att minimera kundbortfall (eng. churn), dvs. kunder som avslutar sin prenumeration inom en viss tidsperiod. LÄS MER