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House Rate Predictor

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catboostregressor correlation-matrix data-science decision-tree-regression lasso-regression linear-regression machine-learning python random-forest ransacregressor support-vector-machines theil-sen-regression xgboost-regression

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house-rate-predictor's Issues

Poor performance of pipeline for catboost version <=0.25.1

Hello,I deployed your pipeline locally. But I noticed that its performance changed when adopting different versions of catboost
As shown in the following experiment results, this model performs best if we use catboost version >0.25.1. The detailed information are as follows:

+----------+---------+----------+-----------+---------+
| Package  | Version | Runtime  |   Memory  |  Score  |
+----------+---------+----------+-----------+---------+
| catboost |  1.0.3  | 30.6443  | 123.90042 | 0.00041 |
| catboost |  0.25.1 | 30.11185 | 123.89584 | 0.00041 |
| catboost |  0.24.4 | 31.6938  | 123.89561 | 0.00041 |
| catboost |  0.23.2 | 32.95948 | 123.89417 | 0.00041 |
| catboost |   0.23  | 32.28723 | 123.90016 | 0.00041 |
| catboost |  0.20.2 | 32.48754 | 123.89274 | 0.00046 |
| catboost |  0.17.5 | 67.66268 | 123.89569 | 0.00692 |
| catboost |  0.16.5 | 64.74606 | 123.89672 | 0.05454 |
| catboost |  0.15.2 | 65.68648 | 123.89305 | 0.05454 |
| catboost |  0.12.2 | 60.95166 | 123.90483 | 0.05959 |
| catboost |  0.10.3 | 58.98892 | 123.89993 | 0.06299 |
+----------+---------+----------+-----------+---------+

Solution

According to the experimental results, you can limit catboost version >0.25.1 to ensure that the pipeline can get better performance.

Device Info

OS Platform and Distribution: windows 10
Python Version: 3.7.10

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