{"kind":"task","effective_mode":"full","benchmark":{"kind":"benchmark","effective_mode":"full","slug":"ds-1000","formal_name":"DS-1000","introduction":"DS-1000 builds 1,000 data-science problems from real StackOverflow questions across seven libraries including NumPy, Pandas and Matplotlib. The problems are perturbed so that recalling the original answer does not solve them.","introduction_ja":"","introduction_en":"","category":"Category not supplied","task_count":null,"acquisition_status":"Acquisition status not supplied","official_url":"https://ds1000-code-gen.github.io/","indexing_mode":"index","profile":{"resources":[],"task_format":"","scoring":"","metric":"","size":"","answer_access":"","license":"","citation":"","maintainer":"","released":"","why_hard":"","related":[],"history":"","construction":"","limitations":"","saturation":"","scores":[]}},"task_id":"2bf254ea-6a74-5077-af6f-c0ad5ed8667b","task_key":"default--test--850","task_revision_id":"1","upstream_id":"850","short_description":"When trying to fit a Random Forest Regressor model with y data that looks like…","config":"default","split":"test","body":"{\"library\":\"Sklearn\",\"prompt\":\"Problem:\\n\\nWhen trying to fit a Random Forest Regressor model with y data that looks like this:\\n\\n[  0.00000000e+00   1.36094276e+02   4.46608221e+03   8.72660888e+03\\n   1.31375786e+04   1.73580193e+04   2.29420671e+04   3.12216341e+04\\n   4.11395711e+04   5.07972062e+04   6.14904935e+04   7.34275322e+04\\n   7.87333933e+04   8.46302456e+04   9.71074959e+04   1.07146672e+05\\n   1.17187952e+05   1.26953374e+05   1.37736003e+05   1.47239359e+05\\n   1.53943242e+05   1.78806710e+05   1.92657725e+05   2.08912711e+05\\n   2.22855152e+05   2.34532982e+05   2.41391255e+05   2.48699216e+05\\n   2.62421197e+05   2.79544300e+05   2.95550971e+05   3.13524275e+05\\n   3.23365158e+05   3.24069067e+05   3.24472999e+05   3.24804951e+05\\nAnd X data that looks like this:\\n\\n[ 735233.27082176  735234.27082176  735235.27082176  735236.27082176\\n  735237.27082176  735238.27082176  735239.27082176  735240.27082176\\n  735241.27082176  735242.27082176  735243.27082176  735244.27082176\\n  735245.27082176  735246.27082176  735247.27082176  735248.27082176\\nWith the following code:\\n\\nregressor = RandomForestRegressor(n_estimators=150, min_samples_split=1.0, random_state=42)\\nrgr = regressor.fit(X,y)\\nI get this error:\\n\\nValueError: Number of labels=600 does not match number of samples=1\\nX data has only one feature and I assume one of my sets of values is in the wrong format but its not too clear to me from the documentation.\\n\\nA:\\n\\n<code>\\nimport numpy as np\\nimport pandas as pd\\nfrom sklearn.ensemble import RandomForestRegressor\\n\\nX, y, X_test = load_data()\\nassert type(X) == np.ndarray\\nassert type(y) == np.ndarray\\nassert type(X_test) == np.ndarray\\n</code>\\nsolve this question with example variable `regressor` and put prediction in `predict`\\nBEGIN SOLUTION\\n<code>\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://ds1000-code-gen.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}