A Study on Housing Price in Klang Valley, Malaysia
Bibliographic record
Abstract
<p>The main aim of this study is to measure the factors influencing housing price in Klang Valley, Malaysia. This paper examines empirically whether the increasing trend in the Malaysian housing price is associated to changes in the population, construction cost, housing speculation, and inflation rate. The paper is exploratory in nature. The data is collected via questionnaire survey form distributed to youngest respondents in the sample area which is Klang Valley region. Each single elements are calculated its average index respect to few level of influence under respondents opinion. The index will then treated as influencing level of the factors. The paper delivers empirical outcomes that the population, construction cost and housing speculation are the main factors of housing prices. However, fluctuations in housing prices could not necessarily be influenced by the inflation rate. The overall result of this paper strongly recommends that housing price in the Malaysian residential property market is increasing continuously. Therefore, efforts to control the hike in housing price is needed by government and policy controllers in order to maintain the affordable to own a house in Malaysia.</p>
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".