Unexplained Runtime Error with RandomizedSearchCV
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I've been running a RandomForestClassifier on a dataset I took from UCI repository, which was taken from a research paper. My accuracy is ~70% compared to the paper's 99% (they used Random Forrest with WEKA), so I want to hypertune parameters in my scikit learn RF to get the same result (I already optimized feature dimensions and scaled). I use the following code to attempt this (random_grid is simply some hard coded values for various parameters):
rf = RandomForestClassifier()
# Random search of parameters, using 2 fold cross validation,
# search across 100 different combinations, and use all available cores
rf_random = RandomizedSearchCV(estimator = rf, param_distributions = random_grid, n_iter = 100, cv = 2, verbose=2, random_state=42, n_jobs = -1)
# Fit the random search model
rf_random.fit(x_train, x_test)
When I attempt to run this code though my python runs indefinitely (for at least 40 min before I killed it) without giving any results. I've tried reducing the cv
and n_iter
as much as possible but this still doesn't help. I've looked everywhere to see if there's a mistake in my code but can't find anything. I'm running Python 3.6 on Spyder 3.1.2, on a crappy laptop with 8Gb RAM and i5 processor. Thank you for any help!
python random-forest grid-search
add a comment |
I've been running a RandomForestClassifier on a dataset I took from UCI repository, which was taken from a research paper. My accuracy is ~70% compared to the paper's 99% (they used Random Forrest with WEKA), so I want to hypertune parameters in my scikit learn RF to get the same result (I already optimized feature dimensions and scaled). I use the following code to attempt this (random_grid is simply some hard coded values for various parameters):
rf = RandomForestClassifier()
# Random search of parameters, using 2 fold cross validation,
# search across 100 different combinations, and use all available cores
rf_random = RandomizedSearchCV(estimator = rf, param_distributions = random_grid, n_iter = 100, cv = 2, verbose=2, random_state=42, n_jobs = -1)
# Fit the random search model
rf_random.fit(x_train, x_test)
When I attempt to run this code though my python runs indefinitely (for at least 40 min before I killed it) without giving any results. I've tried reducing the cv
and n_iter
as much as possible but this still doesn't help. I've looked everywhere to see if there's a mistake in my code but can't find anything. I'm running Python 3.6 on Spyder 3.1.2, on a crappy laptop with 8Gb RAM and i5 processor. Thank you for any help!
python random-forest grid-search
So what's the runtime error?
– ForceBru
Nov 23 '18 at 20:45
Sorry, I meant that the calculation never completes. The code simply runs forever without giving any output, and I have to hard stop the entire console.
– DeathbyGreen
Nov 23 '18 at 20:46
add a comment |
I've been running a RandomForestClassifier on a dataset I took from UCI repository, which was taken from a research paper. My accuracy is ~70% compared to the paper's 99% (they used Random Forrest with WEKA), so I want to hypertune parameters in my scikit learn RF to get the same result (I already optimized feature dimensions and scaled). I use the following code to attempt this (random_grid is simply some hard coded values for various parameters):
rf = RandomForestClassifier()
# Random search of parameters, using 2 fold cross validation,
# search across 100 different combinations, and use all available cores
rf_random = RandomizedSearchCV(estimator = rf, param_distributions = random_grid, n_iter = 100, cv = 2, verbose=2, random_state=42, n_jobs = -1)
# Fit the random search model
rf_random.fit(x_train, x_test)
When I attempt to run this code though my python runs indefinitely (for at least 40 min before I killed it) without giving any results. I've tried reducing the cv
and n_iter
as much as possible but this still doesn't help. I've looked everywhere to see if there's a mistake in my code but can't find anything. I'm running Python 3.6 on Spyder 3.1.2, on a crappy laptop with 8Gb RAM and i5 processor. Thank you for any help!
python random-forest grid-search
I've been running a RandomForestClassifier on a dataset I took from UCI repository, which was taken from a research paper. My accuracy is ~70% compared to the paper's 99% (they used Random Forrest with WEKA), so I want to hypertune parameters in my scikit learn RF to get the same result (I already optimized feature dimensions and scaled). I use the following code to attempt this (random_grid is simply some hard coded values for various parameters):
rf = RandomForestClassifier()
# Random search of parameters, using 2 fold cross validation,
# search across 100 different combinations, and use all available cores
rf_random = RandomizedSearchCV(estimator = rf, param_distributions = random_grid, n_iter = 100, cv = 2, verbose=2, random_state=42, n_jobs = -1)
# Fit the random search model
rf_random.fit(x_train, x_test)
When I attempt to run this code though my python runs indefinitely (for at least 40 min before I killed it) without giving any results. I've tried reducing the cv
and n_iter
as much as possible but this still doesn't help. I've looked everywhere to see if there's a mistake in my code but can't find anything. I'm running Python 3.6 on Spyder 3.1.2, on a crappy laptop with 8Gb RAM and i5 processor. Thank you for any help!
python random-forest grid-search
python random-forest grid-search
edited Nov 23 '18 at 21:05
DeathbyGreen
asked Nov 23 '18 at 20:44
DeathbyGreenDeathbyGreen
704
704
So what's the runtime error?
– ForceBru
Nov 23 '18 at 20:45
Sorry, I meant that the calculation never completes. The code simply runs forever without giving any output, and I have to hard stop the entire console.
– DeathbyGreen
Nov 23 '18 at 20:46
add a comment |
So what's the runtime error?
– ForceBru
Nov 23 '18 at 20:45
Sorry, I meant that the calculation never completes. The code simply runs forever without giving any output, and I have to hard stop the entire console.
– DeathbyGreen
Nov 23 '18 at 20:46
So what's the runtime error?
– ForceBru
Nov 23 '18 at 20:45
So what's the runtime error?
– ForceBru
Nov 23 '18 at 20:45
Sorry, I meant that the calculation never completes. The code simply runs forever without giving any output, and I have to hard stop the entire console.
– DeathbyGreen
Nov 23 '18 at 20:46
Sorry, I meant that the calculation never completes. The code simply runs forever without giving any output, and I have to hard stop the entire console.
– DeathbyGreen
Nov 23 '18 at 20:46
add a comment |
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So what's the runtime error?
– ForceBru
Nov 23 '18 at 20:45
Sorry, I meant that the calculation never completes. The code simply runs forever without giving any output, and I have to hard stop the entire console.
– DeathbyGreen
Nov 23 '18 at 20:46