The comparison of prices of a single-family house in different parts of the city České Budějovice in the years 2015 and 2016
Bibliographic record
Abstract
Abstract This thesis Compare the price of the family house in various parts of Ceske Budejovice in 2015 and 2016 "deals with the valuation of a family house at the usual price and the price determined in 2015 and 2016. The family house is located on the outskirts of the city and then will be relocated to the city center. The usual price is determined by comparison, the comparison is made with similar family houses offered for sale in the real estate advertising. The price recorded for the year 2015 will be calculated by using valuation Decree no. 441/2013 Coll., as amended by Decree no. 199/2014 Coll. 2016 using valuation Decree no. 441/2013 Coll., as amended by Decree no. 199/2014 Coll., Decree no. 345/2015 Coll., Decree no. 53/2016 Coll. The theoretical part explains the basic important concepts which relate to the thesis. In the practical part are processed individual methods of valuation for 2015 and 2016 and localities - outskirt and center of České Budějovice. The output of the practical part is comparison of the usual price and the price established. Finally, we evaluate the factors that affect the cost of family houses.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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 source (direct Gemma or distilled Codex), 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".