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!










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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


















0















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!










share|improve this question

























  • 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














0












0








0








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!










share|improve this question
















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






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edited Nov 23 '18 at 21:05







DeathbyGreen

















asked Nov 23 '18 at 20:44









DeathbyGreenDeathbyGreen

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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



















  • 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












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