Longitude and latitude . Macro economic dependency 04 The price data is time-series data. We had to consider macro economic change with time. But data was limited… About 10% abnormal target values ( fake prices ) 03 In Russia, sometimes houses are sold at lower prices than it would be. Participants voice
not included, it would be around 0.1 . But w/o any cleansing, local CV was around 0.4, and LB was around 0.3. Test data would include – fake prices. ideal RMSLE : around 0.1 LB RMSLE : around 0.3 w/ fake prices w/o fake prices predict
1 2 3 4 Methodology for excluding fake prices 2. Compare actual price and predicted price, then exclude data whose predicted prices are largely deviated from actual. throw away 3. Again train the model with data after step2. 4. Predict prices by XGBoost and go to step 2. If there would be no data to be excluded, then stop this process.