Unexplained Runtime Error with RandomizedSearchCV





.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty{ height:90px;width:728px;box-sizing:border-box;
}







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















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






share|improve this question















share|improve this question













share|improve this question




share|improve this question








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



















  • 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












0






active

oldest

votes












Your Answer






StackExchange.ifUsing("editor", function () {
StackExchange.using("externalEditor", function () {
StackExchange.using("snippets", function () {
StackExchange.snippets.init();
});
});
}, "code-snippets");

StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "1"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);

StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});

function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});


}
});














draft saved

draft discarded


















StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53452748%2funexplained-runtime-error-with-randomizedsearchcv%23new-answer', 'question_page');
}
);

Post as a guest















Required, but never shown

























0






active

oldest

votes








0






active

oldest

votes









active

oldest

votes






active

oldest

votes
















draft saved

draft discarded




















































Thanks for contributing an answer to Stack Overflow!


  • Please be sure to answer the question. Provide details and share your research!

But avoid



  • Asking for help, clarification, or responding to other answers.

  • Making statements based on opinion; back them up with references or personal experience.


To learn more, see our tips on writing great answers.




draft saved


draft discarded














StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53452748%2funexplained-runtime-error-with-randomizedsearchcv%23new-answer', 'question_page');
}
);

Post as a guest















Required, but never shown





















































Required, but never shown














Required, but never shown












Required, but never shown







Required, but never shown

































Required, but never shown














Required, but never shown












Required, but never shown







Required, but never shown







Popular posts from this blog

"Incorrect syntax near the keyword 'ON'. (on update cascade, on delete cascade,)

Alcedinidae

RAC Tourist Trophy